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Determinantes en la coordinación de actores y su efecto en el desempeño de la cadena de suministro hospitalaria en un ambiente lean

dc.rights.licenseReconocimiento 4.0 Internacional
dc.contributor.advisorAdarme Jaimes, Wilson
dc.contributor.authorRuíz Orjuela, Erika Tatiana
dc.date.accessioned2024-04-15T19:35:37Z
dc.date.available2024-04-15T19:35:37Z
dc.date.issued2024-03-15
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/85915
dc.descriptionilustraciones, diagramas, gráficas
dc.description.abstractLa coordinación en la gestión de la cadena de suministro hospitalaria (CSH) es esencial para mejorar la calidad y eficiencia de la atención médica. Esta investigación evaluó empíricamente la relación entre los determinantes de la coordinación en la CSH, así como sus efectos sobre el desempeño mediados por un entorno lean. El estudio es cuantitativo de tipo explicativo y predictivo, se desarrolló en tres fases: Se caracterizó la CSH entre proveedores e instituciones de salud, identificando los determinantes de coordinación; se empleó PLS-SEM para examinar las relaciones del modelo, utilizando datos de 108 IPS Colombianas de alta complejidad; se evaluó las relaciones de moderación, mediación y la capacidad predictiva del modelo, y se propuso un marco de estrategias de mejora con base en los resultados. Los determinantes: institucionalidad, información y TIC, capital humano y social influyen en la coordinación de la CSH. La coordinación tiene un efecto positivo en el desempeño asistencial, financiero y técnico. Además, la coordinación influye en la adopción de prácticas lean, y estas median en esta relación. La naturaleza jurídica de las IPS modera la relación entre determinantes y coordinación. Los aportes de la investigación contribuyen a la teoría de la gestión de la cadena de suministro empleando teoría de redes y visión basada en recursos. Se sugiere seguir investigando acerca de la aplicación del modelo desde otras perspectivas relacionales y evaluarlo en diferentes contextos. (Texto tomado de la fuente).
dc.description.abstractCoordination in hospital supply chain management (HSCM) is crucial for enhancing the quality and efficiency of healthcare delivery. This research empirically assessed the relationship between coordination determinants in HSCM and their effects on performance in a lean environment. The study, quantitatively explanatory and predictive in nature, unfolded in three phases: First, the HSCM was characterized between suppliers and healthcare institutions, pinpointing coordination determinants. Next, PLS-SEM was employed to scrutinize the model relationships, utilizing data from 108 Colombian IPS. Finally, moderation, mediation relationships, and predictive capacity of the model were evaluated, culminating in a proposed improvement strategy based on the findings. Determinants such as institutional framework, information and ICT, and human and social capital influence coordination in HSCM. Coordination exerts a positive impact on performance in clinical, financial, and technical aspects. Moreover, coordination influences the adoption of lean practices, with these practices mediating this relationship. The legal nature of IPS does not moderate the coordination-performance relationship, but it does moderate the relationship between determinants and coordination. The research contributions advance supply chain management theory, incorporating network theory and resource-based view. Further exploration from alternative relational perspectives and contextual evaluations are recommended for future research endeavors.
dc.format.extentiv, 200 páginas
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.publisherUniversidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject.ddc650 - Gerencia y servicios auxiliares::658 - Gerencia general
dc.titleDeterminantes en la coordinación de actores y su efecto en el desempeño de la cadena de suministro hospitalaria en un ambiente lean
dc.typeTrabajo de grado - Doctorado
dc.type.driverinfo:eu-repo/semantics/doctoralThesis
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Ingeniería - Doctorado en Ingeniería - Industria y Organizaciones
dc.contributor.researchgroupSociedad, economía y productivadad SEPRO
dc.description.degreelevelDoctorado
dc.description.degreenameDoctor en Ingeniería
dc.description.researchareaMétodos y modelos de optimización y estadística en ingeniería industrial y administrativa
dc.identifier.instnameUniversidad Nacional de Colombia
dc.identifier.reponameRepositorio Institucional Universidad Nacional de Colombia
dc.identifier.repourlhttps://repositorio.unal.edu.co/
dc.publisher.facultyFacultad de Ingeniería
dc.publisher.placeBogotá, Colombia
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.relation.referencesA. Clottey, T., & J. Grawe, S. (2014). Non-response bias assessment in logistics survey research: use fewer tests? International Journal of Physical Distribution & Logistics Management, 44(5), 412–426.
dc.relation.referencesAbadie, A., Roux, M., Chowdhury, S., & Dey, P. (2023). Interlinking organisational resources, AI adoption and omnichannel integration quality in Ghana’s healthcare supply chain. Journal of Business Research, 162. https://doi.org/10.1016/j.jbusres.2023.113866
dc.relation.referencesAbbas, H. (2018). Barriers to reverse logistics practices in pharmaceutical supply chains: an ISM approach. International Journal of Business Excellence, 16(1), 47–60.
dc.relation.referencesAbdallah, A B, Rawadiah, O. M., Al-Byati, W., & Alhyari, S. (2021). Supply chain integration and export performance: the mediating role of supply chain performance. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-02-2021-0076
dc.relation.referencesAbdallah, Ayman Bahjat, Abdullah, M. I., & Mahmoud Saleh, F. I. (2017). The effect of trust with suppliers on hospital supply chain performance: The mediating role of supplier integration. Benchmarking, 24(3), 694–715. https://doi.org/10.1108/BIJ-05-2016-0062
dc.relation.referencesAbdeen, F. N., Sandanayake, Y. G., & Ramachandra, T. (2022). A framework for facilities management supply chain performance evaluation: case study of hotel buildings. Facilities, 40(3–4), 248–267. https://doi.org/10.1108/F-12-2020-0125
dc.relation.referencesAbdulameer, S. S., & Yaacob, N. A. (2020). The moderating role of information sharing on the relationship between lean supply chain and supply chain performance: A conceptual framework. International Journal of Supply Chain Management, 9(1), 411–419.
dc.relation.referencesAbdulsalam, Y., & Schneller, E. (2017). Hospital Supply Expenses: An Important Ingredient in Health Services Research. Medical Care Research and Review : MCRR, 76(2), 240–252. https://doi.org/10.1177/1077558717719928
dc.relation.referencesAbu Zwaida, T., Elaroudi, K., & Beauregard, Y. (2022). The challenges of drug shortages in the Canadian hospital pharmacy supply chain — a systematic literature review. Journal of Public Health (Germany), 30(11), 2593–2604. https://doi.org/10.1007/s10389-021-01485-2
dc.relation.referencesAbuKhousa, E., Al-Jaroodi, J., Lazarova-Molnar, S., & Mohamed, N. (2014). Simulation and Modeling Efforts to Support Decision Making in Healthcare Supply Chain Management. The Scientific World Journal, 2014, 354246. https://doi.org/10.1155/2014/354246
dc.relation.referencesAdebanjo, D, Laosirihongthong, T., & Samaranayake, P. (2016). Prioritizing lean supply chain management initiatives in healthcare service operations: a fuzzy AHP approach. Production Planning and Control, 27(12), 953–966. https://doi.org/10.1080/09537287.2016.1164909
dc.relation.referencesAdebanjo, Dotun, Laosirihongthong, T., & Samaranayake, P. (2016). The Management of Operations Prioritizing lean supply chain management initiatives in healthcare service operations : a fuzzy AHP approach Prioritizing lean supply chain management initiatives in healthcare service operations : a fuzzy AHP approach. Production Planning & Control, 7287, 1–14. https://doi.org/10.1080/09537287.2016.1164909
dc.relation.referencesAguilar-Escobar, V. G., Garrido-Vega, P., & Godino-Gallego, N. (2013). Improving a hospital’s supply chain through lean management . Revista de Calidad Asistencial, 28(6), 337–344. https://doi.org/10.1016/j.cali.2013.05.003
dc.relation.referencesAhmadi, E., Masel, D. T., Metcalf, A. Y., & Schuller, K. (2018). Inventory management of surgical supplies and sterile instruments in hospitals: a literature review. Health Systems (Basingstoke, England), 8(2), 134–151. https://doi.org/10.1080/20476965.2018.1496875
dc.relation.referencesAhmed, A., Ahmed, Z., & Khan, H. (2019). Relationship between environmental uncertainty and pharmaceutical supply chain risk: A review and research agenda. Journal of Advanced Research in Dynamical and Control Systems, 11(8 Special Issue), 984–993
dc.relation.referencesAhmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database : The Journal of Biological Databases and Curation, 2020, baaa010. https://doi.org/10.1093/database/baaa010
dc.relation.referencesAkyuz, G. A., & Gursoy, G. (2013). Paradigm shift in supply chain management (SCM). 291–302
dc.relation.referencesAL-Khatib, A. W., & Shuhaiber, A. (2022). Green Intellectual Capital and Green Supply Chain Performance: Does Big Data Analytics Capabilities Matter? Sustainability (Switzerland), 14(16). https://doi.org/10.3390/su141610054
dc.relation.referencesAL-Shboul, M. A., Garza-Reyes, J. A., & Kumar, V. (2018). Best supply chain management practices and high-performance firms: The case of Gulf manufacturing firms. International Journal of Productivity and Performance Management, 67(9), 1482–1509. https://doi.org/10.1108/IJPPM-11-2016-0257
dc.relation.referencesAlajmi, A., Adlan, N., & Lahyani, R. (2021). Assessment of Supply Chain Management Resilience within Saudi Medical Laboratories during Covid-19 Pandemic. In M. K. & W. T. (Eds.), 9th CIRP Global Web Conference on Sustainable, Resilient, and Agile Manufacturing and Service Operations: Lessons from COVID-19, CIRPe 2021 (Vol. 103, pp. 32–36). Elsevier B.V. https://doi.org/10.1016/j.procir.2021.10.004
dc.relation.referencesAlali, A. M., Rejal, H. M. A. A., Abu, N. H. B., & Alali, H. (2022). The Impact of Supply Chain Preparedness on Healthcare Service Quality: A Literature Review. International Journal of Sustainable Development and Planning, 17(5), 1425–1430. https://doi.org/10.18280/ijsdp.170506
dc.relation.referencesAlemsan, N, & Tortorella, G. L. (2022). Lean and Resilience in Healthcare Supply Chain: A Mediation Analysis. In B. A., D. A., B. H.H., I. D., L. D., & S. F. (Eds.), 10th IFAC Conference on Manufacturing Modelling, Management and Control, MIM 2022 (Vol. 55, Issue 10, pp. 436–441). Elsevier B.V. https://doi.org/10.1016/j.ifacol.2022.09.432
dc.relation.referencesAlemsan, Najla, Tortorella, G., Taboada Rodriguez, C. M., Balouei Jamkhaneh, H., & Lima, R. M. (2022). Lean and resilience in the healthcare supply chain – a scoping review. International Journal of Lean Six Sigma, 13(5), 1058–1078. https://doi.org/10.1108/IJLSS-07-2021-0129
dc.relation.referencesAli, I., & Kannan, D. (2022). Mapping research on healthcare operations and supply chain management: a topic modelling-based literature review. Annals of Operations Research, 315(1), 29–55. https://doi.org/10.1007/s10479-022-04596-5
dc.relation.referencesAli, N., Habidin, N. F., Jamaludin, N. H., Khaidir, N. A., & Shazali, N. A. (2013). Customer Relationship Management and Performance in Malaysian Healthcare Industry. International Journal of Advancements in Research & Technology, 2(1), 1–5.
dc.relation.referencesAlipour, J., Karimi, A., Ebrahimi, S., Ansari, F., & Mehdipour, Y. (2017). Success or failure of hospital information systems of public hospitals affiliated with Zahedan University of Medical Sciences: A cross sectional study in the Southeast of Iran. International Journal of Medical Informatics, 108, 49–54. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2017.10.005
dc.relation.referencesAlla, L., Bentalha, B., & Bouhtati, N. (2022). Assessing Supply Chain Performance in the Covid 19 Context: A Prospective Model. In J. F. & E. F. I.I. (Eds.), 14th IEEE International Conference of Logistics and Supply Chain Management, LOGISTIQUA 2022. Institute of Electrical and Khajouei s Engineers Inc. https://doi.org/10.1109/LOGISTIQUA55056.2022.9938083
dc.relation.referencesAlmutairi, A. M., Almanei, M., Al-Ashaab, A., & Salonitis, K. (2021). Prioritized Solutions for Overcoming Barriers When Implementing Lean in the Healthcare Supply Chain: A Saudi Perspective. Logistics, 5(1). https://doi.org/10.3390/logistics5010009
dc.relation.referencesAlmutairi, A. M., Salonitis, K., & Al-Ashaab, A. (2020). A framework for implementing lean principles in the supply chain management at health-care organizations: Saudi’s perspective. International Journal of Lean Six Sigma, 11(3), 463–492. https://doi.org/10.1108/IJLSS-01-2019-0002
dc.relation.referencesAlmutairi, A. M., Xu, Y., & Salonitis, K. (2017). Lean Six Sigma(LSS) practices of supply chain. European International Conference on Industrial Engineering and Operations Management.IEOM 2017, 2017(JUL), 218–220.
dc.relation.referencesAlqudah, A., Abualrejal, H. M., & Elias, E. (2022). Hospital Supply Chain Management and Quality of Services Within Hospitals: A Preliminary Review. In Lecture Notes on Data Engineering and Communications Technologies (Vol. 127, pp. 775–784). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-98741-1_66
dc.relation.referencesAlqudah, S., Shrouf, H., Suifan, T., & Alhyari, S. (2020). A moderated mediation model of lean, agile, resilient, and green paradigms in the supply chain. International Journal of Supply Chain Management, 9(4), 158–172.
dc.relation.referencesAlshahrani, S., Rahman, S., & Chan, C. (2018). Hospital-supplier integration and hospital performance: evidence from Saudi Arabia. The International Journal of Logistics Management.
dc.relation.referencesAnand, G., & Kodali, R. (2008). A conceptual framework for lean supply chain and its implementation. International Journal of Value Chain Management, 2(3), 313–357. https://doi.org/10.1504/IJVCM.2008.019517
dc.relation.referencesAñasco Noguera, J., Cobo Larrahondo, Y. F., Martínez Caicedo, A. E., Osorio Cuellar, G. V., & Granada Aguirre, L. F. (2021). Sistemas de información de salud en Colombia. Interdisciplinary Journal of Epidemiology and Public Health, 4(1), 85–100. https://doi.org/10.18041/2665-427x/ijeph.1.7906
dc.relation.referencesAntoine, V., de Wazières, B., & Houédé, N. (2015). [Professional’s expectations to improve quality of care and social services utilization in geriatric oncology]. Bulletin Du Cancer, 102(2), 150–161. https://doi.org/10.1016/j.bulcan.2014.12.011
dc.relation.referencesAnurodhsingh, K., & Kumar, J. R. (2019). Supply chain integration: a review of enablers, dimensions and performance. Benchmarking: An International Journal, 27(1), 264–301. https://doi.org/10.1108/BIJ-07-2018-0217
dc.relation.referencesArana, K., Flores, K., Ramos, E., & Mesia, R. (2020). Developing a Two-Echelon Inventory Framework in Pharmaceutical Supply Chain: An Empirical Review. In M. B., T. S., K. W., D. N. M., & R. E. (Eds.), AHFE Virtual Conference on Production Management and Process Control, Human Aspects of Advanced Manufacturing and the Additive Manufacturing, Modeling Systems and 3D Prototyping, 2020: Vol. 1216 AISC (pp. 361–368). Springer. https://doi.org/10.1007/978-3-030-51981-0_46
dc.relation.referencesAranaz, J. M., Leutscher, E., Gea, M. T., & Vitaller, J. (2003). El aseguramiento y la acreditación sanitaria. Qué opinan sobre la acreditación los directivos sanitarios españoles. Revista de Calidad Asistencial, 18(2), 107–114. https://doi.org/10.1016/S1134-282X(03)77584-8
dc.relation.referencesArbab Kash, B., Spaulding, A., D. Gamm, L., & E. Johnson, C. (2014). Healthcare strategic management and the resource based view. Journal of Strategy and Management, 7(3), 251–264.
dc.relation.referencesArcidiacono, G., & Rauch, E. (2018). Applying Lean to Healthcare Delivery Processes - a Case-based Research Applying Lean to Healthcare Delivery Processes – a Case-based. February. https://doi.org/10.18517/ijaseit.8.1.4965
dc.relation.referencesArgiyantari, B., Simatupang, T. M., & Basri, M. H. (2022). The lean framework for supporting the pharmaceutical supply chain transformation. International Journal of Services and Operations Management, 42(4), 454–479. https://doi.org/10.1504/ijsom.2022.125027
dc.relation.referencesAriadi, G., Surachman, Sumiati, & Rohman, F. (2021). The effect of lean and agile supply chain strategy on financial performance with mediating of strategic supplier integration & strategic customer integration: Evidence from bottled drinking-water industry in Indonesia. Cogent Business and Management, 8(1). https://doi.org/10.1080/23311975.2021.1930500
dc.relation.referencesArji, G., Ahmadi, H., Avazpoor, P., & Hemmat, M. (2023). Identifying resilience strategies for disruption management in the healthcare supply chain during COVID-19 by digital innovations: A systematic literature review. Informatics in Medicine Unlocked, 38. https://doi.org/10.1016/j.imu.2023.101199
dc.relation.referencesAronsson, H., Abrahamsson, M., Spens, K., Håkan, A., Mats, A., Karen, S., Aronsson, H., Abrahamsson, M., & Spens, K. (2011). Developing lean and agile health care supply chains. SUPPLY CHAIN MANAGEMENT-AN INTERNATIONAL JOURNAL, 16(3), 176–183. https://doi.org/10.1108/13598541111127164
dc.relation.referencesArshinder, K., Kabra, G., & Ramesh, A. (2015). Identification and prioritization of coordination barriers in humanitarian supply chain management. International Journal of Disaster Risk Reduction, 13, 128–138. https://doi.org/https://doi.org/10.1016/j.ijdrr.2015.01.011
dc.relation.referencesArshinder, K., Kanda, A., & Deshmukh, S. G. (2011). A Review on Supply Chain Coordination : Coordination Mechanisms , Managing Uncertainty and Research Directions. https://doi.org/10.1007/978-3-642-19257-9
dc.relation.referencesArshinder, Kanda, A., & Deshmukh, S. G. (2008). Supply chain coordination: Perspectives, empirical studies and research directions. International Journal of Production Economics, 115(2), 316–335. https://doi.org/10.1016/j.ijpe.2008.05.011
dc.relation.referencesArvitrida, N. I., Robinson, S., & Tako, A. A. (2016). How do competition and collaboration affect supply chain performance? An agent based modeling approach. Winter Simulation Conference, WSC 2015, 2016-Febru, 218–229. https://doi.org/10.1109/WSC.2015.7408166
dc.relation.referencesAugusto, V., & Xie, X. (2009). Redesigning pharmacy delivery processes of a health care complex. Health Care Management Science, 12(2), 166–178. https://doi.org/10.1007/s10729-008-9086-3
dc.relation.referencesAvkiran, N. K., & Ringle, C. M. (2018). Partial Least Squares Structural Equation Modeling: Recent Advances in Banking and Finance. In Springer.
dc.relation.referencesAwang, Z., Afthanorhan, A., & Mamat, M. (2016). The Likert scale analysis using parametric based Structural Equation Modeling (SEM). Computational Methods in Social Sciences, 4(1), 13.
dc.relation.referencesBaah, C., Opoku Agyeman, D., Acquah, I. S. K., Agyabeng-Mensah, Y., Afum, E., Issau, K., Ofori, D., & Faibil, D. (2022). Effect of information sharing in supply chains: understanding the roles of supply chain visibility, agility, collaboration on supply chain performance. Benchmarking, 29(2), 434–455. https://doi.org/10.1108/BIJ-08-2020-0453
dc.relation.referencesBaayen, R. H. (2001). Word Frequencies BT - Word Frequency Distributions (R. H. Baayen (ed.); pp. 1–38). Springer Netherlands. https://doi.org/10.1007/978-94-010-0844-0_1
dc.relation.referencesBalcázar-Camacho, D A, López-Bello, C. A., & Adarme-Jaimes, W. (2016). Strategic guidelines for supply chain coordination in healthcare and a mathematical model as a proposed mechanism for the measurement of coordination effects . DYNA (Colombia), 83(197), 204–212. https://doi.org/10.15446/dyna.v83n197.55596
dc.relation.referencesBalcázar-Camacho, Delio Alexander, López-Bello, C. A., & Adarme-Jaimes, W. (2016). Lineamientos estratégicos para coordinación en la cadena de suministro de medicamentos y propuesta de un modelo matemático para medir los efectos de la coordinación. DYNA (Colombia), 83(197), 204–212. https://doi.org/10.15446/dyna.v83n197.55596
dc.relation.referencesBani Hani, J. (2022). THE INFLUENCE OF SUPPLY CHAIN MANAGEMENT PRACTICES ON SUPPLY CHAIN PERFORMANCE: THE MODERATING ROLE OF INFORMATION QUALITY. Business, Management and Economics Engineering, 20(1), 152–171. https://doi.org/10.3846/bmee.2022.16597
dc.relation.referencesBarnas, K. (2011). ThedaCare’s business performance system: sustaining continuous daily improvement through hospital management in a lean environment. Joint Commission Journal on Quality and Patient Safety / Joint Commission Resources, 37(9), 387–399.
dc.relation.referencesBarnett, V., & Lewis, T. (1994). Outliers in statistical data (Vol. 3, Issue 1). Wiley New York.
dc.relation.referencesBarney, J. (1991a). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120.
dc.relation.referencesBarney, J. (1991b). Special theory forum the resource-based model of the firm: origins, implications, and prospects. Journal of Management, 17(1), 97–98.
dc.relation.referencesBarros, R. D. de, Costa, E. A., Santos, D. B. dos, Souza, G. S., Álvares, J., Guerra, A. A., Acurcio, F. de A., Guibu, I. A., Costa, K. S., & Karnikowski, M. G. de O. (2017). Access to medicines: relations with the institutionalization of pharmaceutical services. Revista de Saúde Pública, 51.
dc.relation.referencesBarsing, P., Daultani, Y., Vaidya, O. S., & Kumar, S. (2018). Cross-docking Centre Location in a Supply Chain Network: A Social Network Analysis Approach. Global Business Review, 19(3_suppl), S218–S234. https://doi.org/10.1177/0972150918757847
dc.relation.referencesBartnik, R., & Park, Y. (2018). Technological change, information processing and supply chain integration: A conceptual model. Benchmarking, 25(5), 1279–1301. https://doi.org/10.1108/BIJ-03-2016-0039
dc.relation.referencesBeal Partyka, R. (2022). Supply chain management: an integrative review from the agency theory perspective. Revista de Gestao, 29(2), 175–198. https://doi.org/10.1108/REGE-04-2021-0058
dc.relation.referencesBeldek, T., Konyalıoğlu, A. K., & Akdağ, H. C. (2020). Supply Chain Management in Healthcare: A Literature Review. 19th International Symposium for Production Research, ISPR 2019 (pp. 570–579). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-31343-2_50
dc.relation.referencesBenitez, J., Henseler, J., Castillo, A., & Schuberth, F. (2020). How to perform and report an impactful analysis using partial least squares: Guidelines for confirmatory and explanatory IS research. Information and Management, 57(2), 103168. https://doi.org/10.1016/j.im.2019.05.003
dc.relation.referencesBenzekri, S., El Wartiti, M. A., & Bennana, A. (2018). Pharmaceutical supply chain: Review of the literature. Journal de Pharmacie Clinique, 37(4), 195–203. https://doi.org/10.1684/jpc.2018.0396
dc.relation.referencesBenzidia, S., Makaoui, N., & Bentahar, O. (2021). The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance. Technological Forecasting and Social Change, 165, 120557. https://doi.org/https://doi.org/10.1016/j.techfore.2020.120557
dc.relation.referencesBest, S., & Williams, S. J. (2021). What Have We Learnt About the Sourcing of Personal Protective Equipment During Pandemics? Leadership and Management in Healthcare Supply Chain Management: A Scoping Review. Frontiers in Public Health, 9. https://doi.org/10.3389/fpubh.2021.765501
dc.relation.referencesBetcheva, L., Erhun, F., & Jiang, H. (2021). Supply chain thinking in healthcare: Lessons and outlooks. Manufacturing and Service Operations Management, 23(6), 1333–1353. https://doi.org/10.1287/msom.2020.0920
dc.relation.referencesBhakoo, V., & Choi, T. (2013). The iron cage exposed: Institutional pressures and heterogeneity across the healthcare supply chain. Journal of Operations Management, 31(6), 432–449. https://doi.org/10.1016/j.jom.2013.07.016
dc.relation.referencesBhaskar, S., Tan, J., Bogers, M. L. A. M., Minssen, T., Badaruddin, H., Israeli-Korn, S., & Chesbrough, H. (2020). At the Epicenter of COVID-19–the Tragic Failure of the Global Supply Chain for Medical Supplies. Frontiers in Public Health, 8. https://doi.org/10.3389/fpubh.2020.562882
dc.relation.referencesBirhanu, Y., Gizaw, T., Teshome, D., Boche, B., & Gudeta, T. (2022). The mediating effect of information sharing on pharmaceutical supply chain integration and operational performance in Ethiopia: an analytical cross-sectional study. Journal of Pharmaceutical Policy and Practice, 15(1), 44. https://doi.org/10.1186/s40545-022-00440-0
dc.relation.referencesBlossey, G., Hahn, G. J., & Koberstein, A. (2021). Managing uncertainty in pharmaceutical supply chains: A structured review. In B. T.X. (Ed.), 54th Annual Hawaii International Conference on System Sciences, HICSS 2021 (Vols. 2020-Janua, pp. 1435–1444). IEEE Computer Society.
dc.relation.referencesBohórquez, X. (2021). Tecnología en la Gestión Logística Hospitalaria de los Centros Clínicos de la Ciudad de Valledupar. RECITIUTM, 8(1), 115–128.
dc.relation.referencesBorgatti, S., & Li, X. U. N. (2009). ON SOCIAL NETWORK ANALYSIS IN A SUPPLY CHAIN CONTEXT*. Journal of Supply Chain Management, 45(2), 5–22. https://doi.org/https://doi.org/10.1111/j.1745-493X.2009.03166.x
dc.relation.referencesBorgatti, S. P., & Foster, P. C. (2003). The network paradigm in organizational research: A review and typology. Journal of Management, 29(6), 991–1013.
dc.relation.referencesBorgatti, S. P., & Halgin, D. S. (2011). On network theory. Organization Science, 22(5), 1168–1181.
dc.relation.referencesBorges, G. A., Tortorella, G. L., Rossini, M., & Staudacher, A. P. (2019). Lean implementation in healthcare supply chain : a scoping review. https://doi.org/10.1108/JHOM-06-2018-0176
dc.relation.referencesBorges, G., Tortorella, G. L., Martinez, F., & Thürer, M. (2020). Simulation-based analysis of lean practices implementation on the supply chain of a public hospital. Production, 30, 1–16. https://doi.org/10.1590/0103-6513.20190131
dc.relation.referencesBorsboom, D., Mellenbergh, G. J., & Van Heerden, J. (2004). The concept of validity. Psychological Review, 111(4), 1061.
dc.relation.referencesBortolini, M., Galizia, F. G., & Mora, C. (2017). Current research trend in lean and green supply chain management. 22nd Summer School “Francesco Turco” - Industrial Systems Engineering 2017, 2017-Septe(September), 16–20.
dc.relation.referencesBryman, A. (2006). Integrating quantitative and qualitative research: how is it done? Qualitative Research, 6(1), 97–113.
dc.relation.referencesBuczak-Stec, E., Goryński Pawełand Nitsch-Osuch, A., Kanecki, K., & Tyszko, P. (2017). The impact of introducing a new hospital financing system (DRGs) in Poland on hospitalisations for atherosclerosis: An interrupted time series analysis (2004–2012). Health Policy, 121(11), 1186–1193. https://doi.org/https://doi.org/10.1016/j.healthpol.2017.09.009
dc.relation.referencesBurnett, K. M., Scott, M. G., Fleming, G. F., Clark, C. M., & McElnay, J. C. (2009). Effects of an integrated medicines management program on medication appropriateness in hospitalized patients. American Journal of Health-System Pharmacy, 66(9), 854–859. https://doi.org/10.2146/ajhp080176
dc.relation.referencesBurns, L. R. (2002). The health care value chain : producers, purchasers, and providers. San Francisco : Jossey-Bass.
dc.relation.referencesBurt, R. S., & Soda, G. (2021). Network Capabilities: Brokerage as a Bridge Between Network Theory and the Resource-Based View of the Firm. Journal of Management, 47(7), 1698–1719. https://doi.org/10.1177/0149206320988764
dc.relation.referencesC., van F. P., Bianca, K., & Henk, Z. (2014). Interorganizational Shared Services: Creating Value across Organizational Boundaries. In Shared Services as a New Organizational Form (Vol. 13, pp. 175–217). Emerald Group Publishing Limited. https://doi.org/10.1108/S1877-636120140000013009
dc.relation.referencesCachon, G. P. (2003). Supply Chain Coordination with Contracts. In Handbooks in Operations Research and Management Science (Vol. 11, Issue C, pp. 227–339). https://doi.org/10.1016/S0927-0507(03)11006-7
dc.relation.referencesCaliŃski, T. (2014). Dendrogram. In Wiley StatsRef: Statistics Reference Online. https://doi.org/https://doi.org/10.1002/9781118445112.stat05624
dc.relation.referencesCampuzano Zuluaga, C. (2021). Modelo logístico y de abastecimiento para la compra, almacenamiento y distribución interna de insumos y reactivos en un laboratorio clínico en la ciudad de Medellín, Colombia. Universidad EAFIT.
dc.relation.referencesCarino, S., Porter, J., Malekpour, S., & Collins, J. (2020). Environmental Sustainability of Hospital Foodservices across the Food Supply Chain: A Systematic Review. Journal of the Academy of Nutrition and Dietetics, 120(5), 825–873. https://doi.org/10.1016/j.jand.2020.01.001
dc.relation.referencesCarman, K. L., Paez, K., Stephens, J., Smeeding, L., Garfinkel, S., Blough, C., Devers, K., Hoover, M., Spaulding, T., & Mapes, D. (2014). Improving Care Delivery Through Lean: Implementation Case Studies. Prepared under contract HHSA290200600019. 13(13).
dc.relation.referencesCarrión, G. C., Nitzl, C., & Roldán, J. L. (2017). Mediation analyses in partial least squares structural equation modeling: Guidelines and empirical examples. Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications, 173–195.
dc.relation.referencesCarter, C. R., Ellram, L. M., & Tate, W. (2007). THE USE OF SOCIAL NETWORK ANALYSIS IN LOGISTICS RESEARCH. Journal of Business Logistics, 28(1), 137–168. https://doi.org/10.1002/j.2158-1592.2007.tb00235.x
dc.relation.referencesCarvalho, H., & Cruz Machado, V. (2009). Lean, agile, resilient and green supply chain: A review. 3rd International Conference on Management Science and Engineering Management, 66–76.
dc.relation.referencesCastaño, R., Lopez, A., Marín, F., Moreano, D., & Prada, S. I. (2021). Modalidades prospectivas de pagos en salud: taxonomìa. 2999.
dc.relation.referencesCentro de pensamiento: Medicamentos, I. y poder. (2022). Guía de Buenas Prácticas para la Compra de Medicamentos en Hospitales Públicos.
dc.relation.referencesCEPAL. (2020). Balance Preliminar de las Economías de América Latina y el Caribe ▪ 2020.
dc.relation.referencesCepeda-Carrion, G., Cegarra-Navarro, J. G., & Cillo, V. (2019). Tips to use partial least squares structural equation modelling (PLS-SEM) in knowledge management. Journal of Knowledge Management, 23(1), 67–89. https://doi.org/10.1108/JKM-05-2018-0322
dc.relation.referencesChae, B. K., Olson, D., & Sheu, C. (2014). The impact of supply chain analytics on operational performance: A resource-based view. International Journal of Production Research, 52(16), 4695–4710. https://doi.org/10.1080/00207543.2013.861616
dc.relation.referencesChaharsooghi, S. K., & Heydari, J. (2010). Supply chain coordination for the joint determination of order quantity and reorder point using credit option. European Journal of Operational Research, 204(1), 86–95. https://doi.org/10.1016/j.ejor.2009.10.007
dc.relation.referencesChakraborty, S., & Gonzalez, J. (2018). An Integrated Lean Supply Chain Framework for U.S. Hospitals. Operations and Supply Chain Management, 11, 98–109. https://doi.org/10.31387/oscm0310206
dc.relation.referencesChandani, Y., Duffy, M., Lamphere, B., Noel, M., Heaton, A., & Andersson, S. (2017). Quality improvement practices to institutionalize supply chain best practices for iCCM: Evidence from Rwanda and Malawi. Research in Social and Administrative Pharmacy, 13(6), 1095–1109. https://doi.org/https://doi.org/10.1016/j.sapharm.2016.07.003
dc.relation.referencesChang, H. H., Wang, Y.-H., & Yang, W.-Y. (2009). The impact of e-service quality, customer satisfaction and loyalty on e-marketing: Moderating effect of perceived value. Total Quality Management, 20(4), 423–443
dc.relation.referencesChang, W., Joe, C., & Allaire, J. (2017). Shiny: Web Application Framework for R. https://cran.r-project.org/package=shiny
dc.relation.referencesCheah, J.-H., Kersten, W., Ringle, C. M., & Wallenburg, C. (2023). Guest editorial: Predictive modeling in logistics and supply chain management research using partial least squares structural equation modeling. International Journal of Physical Distribution & Logistics Management, 53(7/8), 709–717. https://doi.org/10.1108/IJPDLM-08-2023-552
dc.relation.referencesCheah, J.-H., Thurasamy, R., Memon, M. A., Chuah, F., & Ting, H. (2020). Multigroup analysis using SmartPLS: Step-by-step guidelines for business research. Asian Journal of Business Research, 10(3), I–XIX.
dc.relation.referencesCheah, J. H., Nitzl, C., Roldán, J. L., Cepeda-Carrion, G., & Gudergan, S. P. (2021). A Primer on the Conditional Mediation Analysis in PLS-SEM. Data Base for Advances in Information Systems, 52(SI), 43–100. https://doi.org/10.1145/3505639.3505645
dc.relation.referencesCheah, J. H., Thurasamy, R., Memon, M. A., Chuah, F., & Ting, H. (2020). Multigroup analysis using smartpls: Step-by-step guidelines for business research. Asian Journal of Business Research, 10(3), I–XIX. https://doi.org/10.14707/ajbr.200087
dc.relation.referencesChen, C.-L., Lai, Y.-L., Chen, C.-C., Zheng, C.-Y., & Chang, L.-C. (2016). A Non-Repudiated and Intelligent RFID Medication Safety Management System. Intelligent Automation & Soft Computing, 22(3), 415–421. https://doi.org/10.1080/10798587.2015.1126452
dc.relation.referencesChen, D., Preston, D., & Xia, W. (2013). Enhancing hospital supply chain performance: A relational view and empirical test. Journal of Operations Management, 31(6), 391–408. https://doi.org/10.1016/j.jom.2013.07.012
dc.relation.referencesChen, D. Q., Preston, D. S., & Xia, W. (2013). Enhancing hospital supply chain performance: A relational view and empirical test. Journal of Operations Management, 31(6), 391–408. https://doi.org/https://doi.org/10.1016/j.jom.2013.07.012
dc.relation.referencesChen, F. (2003). Information Sharing and Supply Chain Coordination. In Handbooks in Operations Research and Management Science (Vol. 11, Issue C, pp. 341–421). https://doi.org/10.1016/S0927-0507(03)11007-9
dc.relation.referencesChen, H., Daugherty, P. J., & Landry, T. D. (2009). SUPPLY CHAIN PROCESS INTEGRATION: A THEORETICAL FRAMEWORK. Journal of Business Logistics, 30(2), 27–46. https://doi.org/10.1002/j.2158-1592.2009.tb00110.x
dc.relation.referencesChen, L.-T. (2013). Dynamic supply chain coordination under consignment and vendor-managed inventory in retailer-centric B2B electronic markets. Industrial Marketing Management, 42(4), 518–531. https://doi.org/10.1016/j.indmarman.2013.03.004
dc.relation.referencesChen, X, Ai, X., & Zhong, L. (2018). The Impact of Medical Services and Medicine Separation Policy on Competitive Pharmaceutical Supply Chain Performance. 15th International Conference on Service Systems and Service Management, ICSSSM 2018. https://doi.org/10.1109/ICSSSM.2018.8464964
dc.relation.referencesChen, Xu, Yang, H., & Wang, X. (2019). Effects of price cap regulation on the pharmaceutical supply chain. Journal of Business Research, 97, 281–290. https://doi.org/https://doi.org/10.1016/j.jbusres.2018.01.030
dc.relation.referencesChen, Y.-K., Chiu, F.-R., & Chang, Y.-C. (2019). Implementing Green Supply Chain Management for Online Pharmacies through a VADD Inventory Model. International Journal of Environmental Research and Public Health, 16(22), 4454. https://doi.org/10.3390/ijerph16224454
dc.relation.referencesCheng, H., Guo, H., & Wang, X. (2010). Supply chain coordination based on the information asymmetry and virtual third party. Proceedings - 3rd International Symposium on Information Science and Engineering, ISISE 2010, 179–183. https://doi.org/10.1109/ISISE.2010.83
dc.relation.referencesCheng, N., & Xue, H. (2012). The study on the performance evaluation of the lean supply chain in chain retailers. 2012 International Conference on Computer Science and Service System, CSSS 2012, 1393–1396. https://doi.org/10.1109/CSSS.2012.351
dc.relation.referencesCherian, T. M., & Arun, C. J. (2022). COVID-19 impact in supply chain performance: a study on the construction industry. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-04-2021-0220
dc.relation.referencesCheung, G. W., & Wang, C. (2017). Current approaches for assessing convergent and discriminant validity with SEM: Issues and solutions. Academy of Management Proceedings, 2017(1), 12706.
dc.relation.referencesChiara, G., & Juliana, H. (2015). Collaborative purchasing of complex technologies in healthcare: Implications for alignment strategies. International Journal of Operations & Production Management, 35(3), 430–455. https://doi.org/10.1108/IJOPM-08-2013-0362
dc.relation.referencesChiarini, A., & Vagnoni, E. (2017). Strategies for modern operations management: Answers from European manufacturing companies. Benchmarking, 24(4), 1065–1081. https://doi.org/10.1108/BIJ-11-2015-0115
dc.relation.referencesChin, W. W. (1998). Issues and opinion on structural equation modeling ABI/INFORM Global pg. VII. Quarterly, 22.
dc.relation.referencesChtioui, A., Bouhaddou, I., Benghabrit, A., & Benabdellah, A. C. (2020). Impact of Covid-19 on the Hospital Supply Chain. 13th IEEE International Colloquium of Logistics and Supply Chain Management, LOGISTIQUA 2020. https://doi.org/10.1109/LOGISTIQUA49782.2020.9353868
dc.relation.referencesClaeys, C., Nève, J., Tulkens, P. M., & Spinewine, A. (2012). Content validity and inter-rater reliability of an instrument to characterize unintentional medication discrepancies. Drugs & Aging, 29, 577–591.
dc.relation.referencesClark Granger, Ramos Forero Jorge Enrique, Melo Becerra Ligia Alba, & Silva Samudio Gisella Tatiana. (2023). Financiamiento del Sistema de Salud en Colombia_ Fuentes y usos. Borradores de Economia Banco de La Republica, 1223, 1–28.
dc.relation.referencesCohen, J. (2013). Statistical power analysis for the behavioral sciences. Academic press.
dc.relation.referencesCollis, D. J. (1994). Research note: how valuable are organizational capabilities? Strategic Management Journal, 15(S1), 143–152
dc.relation.referencesColliver, J. A., Conlee, M. J., & Verhulst, S. J. (2012). From test validity to construct validity… and back? Medical Education, 46(4), 366–371.
dc.relation.referencesContraloría General de la República. (2020). Denuncian sobrecostos en contratos de alimentos y salud por covid-19.
dc.relation.referencesContreras, N. (2017). Modelo operacional para dispensación de materias primas y centralización en la industria farmacéutica bajo un entorno justo a tiempo. Universidad de la SABANA.
dc.relation.referencesCoustasse, A, Tomblin, S., & Slack, C. (2013). Impact of radio-frequency identification (RFID) technologies on the hospital supply chain: a literature review. Perspectives in Health Information Management / AHIMA, American Health Information Management Association, 10.
dc.relation.referencesCoustasse, Alberto, Arvidson, C., & Rutsohn, P. (2010). Pharmaceutical Counterfeiting and the RFID Technology Intervention. Journal of Hospital Marketing & Public Relations, 20(2), 100–115. https://doi.org/10.1080/15390942.2010.493369
dc.relation.referencesCreswell, J. W., & Plano Clark, V. L. (2017). Designing and conducting mixed methods research (S. Publications. (ed.); 3rd ed).
dc.relation.referencesda Silva, M. S. A., C., M. M., M., Q. M., & Renato, T. (2020). The relationship between quality and governance mechanisms: A qualitative investigation in healthcare supply-chain networks. Benchmarking: An International Journal, 27(3), 1085–1104. https://doi.org/10.1108/BIJ-03-2019-0114
dc.relation.referencesDANE. (2022). Exportaciones.
dc.relation.referencesDanks, N. P., Ray, S., & Shmueli, G. (2019). Predictive Analysis and Out-of-Sample Generalizability of Construct-based Models Extended Abstract. Proceedings of the 2019 Pre-ICIS SIGDSA Symposium, 1–3.
dc.relation.referencesDe Cooman, E., & Marchand, M. (2017). Rules and incentives for hospitals: the Belgian financing system. Health Policy, 7(2), 227–239. https://doi.org/https://doi.org/10.1016/0168-8510(87)90034-0
dc.relation.referencesde Klerk, K., & Singh, F. (2021). A systematic literature review of board diversity in agile healthcare supply chain. International Journal of Agile Systems and Management, 14(4), 576–613. https://doi.org/10.1504/IJASM.2021.120242
dc.relation.referencesDe, Negri, P. R., Patricia, G., & Amin, K. M. (2019). Are collaboration and trust sources for innovation in the reverse logistics? Insights from a systematic literature review. Supply Chain Management: An International Journal, 25(2), 176–222. https://doi.org/10.1108/SCM-03-2018-0129
dc.relation.referencesde Vries, J., & Huijsman, R. (2011). Supply chain management in health services: an overview. Supply Chain Management: An International Journal, 16(3), 159–165. https://doi.org/10.1108/13598541111127146
dc.relation.referencesDev, N. K., & Shankar, R. (2016). Using interpretive structure modeling to analyze the interactions between environmental sustainability boundary enablers. Benchmarking, 23(3), 601–617. https://doi.org/10.1108/BIJ-05-2013-0063
dc.relation.referencesDheeraj, C., & Dinesh, K. (2019). Two-way assessment of key performance indicators to vaccine supply chain system in India. International Journal of Productivity and Performance Management, 68(1), 194–230. https://doi.org/10.1108/IJPPM-02-2018-0078
dc.relation.referencesDiabat, A., Al-Aomar, R., Alrefaei, M., Alawneh, A., & Faisal, M. N. (2013). A framework for optimizing the supply chain performance of a steel producer. 1, 554–562.
dc.relation.referencesDiamantopoulos, A., & Winklhofer, H. M. (2001). Diamantopoulos, Winklhofer (2001) JMR 38(2). XXXVIII(May), 269–277.
dc.relation.referencesDijkstra, T. K., & Henseler, J. (2015). Consistent and asymptotically normal PLS estimators for linear structural equations. Computational Statistics and Data Analysis, 81, 10–23. https://doi.org/10.1016/j.csda.2014.07.008
dc.relation.referencesDillman, D. A. (2011). Mail and Internet surveys: The tailored design method--2007 Update with new Internet, visual, and mixed-mode guide. John Wiley & Sons.
dc.relation.referencesDing, B. (2018). Pharma Industry 4.0: Literature review and research opportunities in sustainable pharmaceutical supply chains. Process Safety and Environmental Protection, 119, 115–130. https://doi.org/10.1016/j.psep.2018.06.031
dc.relation.referencesDing, D., & Chen, J. (2007). Supply chain coordination with contracts game between complementary suppliers. International Journal of Information Technology and Decision Making, 6(1), 163–175. https://doi.org/10.1142/S0219622007002332
dc.relation.referencesDixit, A., Routroy, S., & Dubey, S. K. (2019). A systematic literature review of healthcare supply chain and implications of future research. International Journal of Pharmaceutical and Healthcare Marketing, 13(4), 405–435. https://doi.org/10.1108/IJPHM-05-2018-0028
dc.relation.referencesDo, B. (2022). Institutional pressures and the mediating role of supply chain coordination in green export strategy: empirical research in Vietnam footwear industry. International Journal of Business Environment, 13(3), 326–344. https://doi.org/10.1504/IJBE.2022.123697
dc.relation.referencesDobrzykowski, D. (2019). Understanding the downstream healthcare supply chain: Unpacking regulatory and industry characteristics. Journal of Supply Chain Management, 55(2), 26–46.
dc.relation.referencesDoko, I. A., Andrew, P., A., K. M. M., & Andrew, D. (2010). Construction procurement strategies of national health service in the UK: A critical review. Journal of Public Procurement, 10(1), 31–67. https://doi.org/10.1108/JOPP-10-01-2010-B002
dc.relation.referencesDou, Y., Mu, D., & Ren, H. (2022). Structural Characteristics of Chinese Chip Supply Chain Network Based on Complex Network Theory. In C. C. & Z. H. (Eds.), 10th International Symposium on Project Management, ISPM 2022 (pp. 100–109). Aussino Academic Publishing House. https://doi.org/10.52202/065147-0014
dc.relation.referencesDowne‐Wamboldt, B. (1992). Content analysis: method, applications, and issues. Health Care for Women International, 13(3), 313–321.
dc.relation.referencesDrohomeretski, E., Gouvea Da Costa, S. E., Pinheiro De Lima, E., & Wachholtz, H. (2012). Lean supply chain management: Practices and performance measures. 62nd IIE Annual Conference and Expo 2012, 1869–1880.
dc.relation.referencesDuarte, S., Cabrita, M. D. R., & Cruz-Machado, V. (2021). Lean and Green Modelling in Healthcare Supply Chains: The Case of Massive COVID-19 Vaccine Distribution. In F. M., L. M., T. M., D. P., S. M.M., C. F., D. G. G., & P. R. (Eds.), 4th European International Conference on Industrial Engineering and Operations Management, IEOM 2021 (pp. 912–921). IEOM Society.
dc.relation.referencesDuarte, S., & Cruz-Machado, V. (2013). Lean and green supply chain initiatives: A case study. IIE Annual Conference and Expo 2013, 2168–2177.
dc.relation.referencesDuque-Uribe, V., Sarache, W., & Gutiérrez, E. V. (2019). Sustainable supply chain management practices and sustainable performance in hospitals: A systematic review and integrative framework. Sustainability (Switzerland), 11(21). https://doi.org/10.3390/su11215949
dc.relation.referencesEl Asri, A., El Farouk, I. I., Jawab, F., Arif, J., & Moufad, I. (2022). The Drug Supply Chain at the Public Hospital in Morocco: A Literature Review. In J. F. & E. F. I.I. (Eds.), 14th IEEE International Conference of Logistics and Supply Chain Management, LOGISTIQUA 2022. Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/LOGISTIQUA55056.2022.9938022
dc.relation.referencesEltantawy, R., Paulraj, A., Giunipero, L., Naslund, D., & Thute, A. A. (2015). Towards supply chain coordination and productivity in a three echelon supply chain action research study. International Journal of Operations and Production Management, 35(6), 895–924. https://doi.org/10.1108/IJOPM-10-2013-0459
dc.relation.referencesEmerson, R. W. (2015). Convenience sampling, random sampling, and snowball sampling: How does sampling affect the validity of research? Journal of Visual Impairment & Blindness, 109(2), 164–168.
dc.relation.referencesEscobar-Pérez, J., & Cuervo-Martínez, Á. (2008). Validez de contenido y juicio de expertos: una aproximación a su utilización. Avances En Medición, 6(1), 27–36.
dc.relation.referencesEssaber, F. E., Benmoussa, R., De Guio, R., & Dubois, S. (2021). A hybrid supply chain risk management approach for lean green performance based on AHP, RCA and TRIZ: A case study. Sustainability (Switzerland), 13(15). https://doi.org/10.3390/su13158492
dc.relation.referencesEtikan, I., & Bala, K. (2017). Sampling and sampling methods. Biometrics & Biostatistics International Journal, 5(6), 149.
dc.relation.referencesEzugwu, A. E., Olusanya, M. O., & Govender, P. (2019). Mathematical model formulation and hybrid metaheuristic optimization approach for near-optimal blood assignment in a blood bank system. Expert Systems with Applications, 137, 74–99. https://doi.org/https://doi.org/10.1016/j.eswa.2019.06.059
dc.relation.referencesFalagara Sigala, I., Sirenko, M., Comes, T., & Kovács, G. (2022). Mitigating personal protective equipment (PPE) supply chain disruptions in pandemics – a system dynamics approach. International Journal of Operations and Production Management, 42(13), 128–154. https://doi.org/10.1108/IJOPM-09-2021-0608
dc.relation.referencesFalk, R. F., & Miller, N. B. (1992). A primer for soft modeling. University of Akron Press.
dc.relation.referencesFarn, C.-K., Fan, Y.-W., & Chen, C.-D. (2008). Competing through supply chain process integration capabilities: An extension of the resource-based view. 5th European and Mediterranean Conference on Information Systems, EMCIS 2008.
dc.relation.referencesFassott, G., Henseler, J., & Coelho, P. S. (2016). Testing moderating effects in PLS path models with composite variables. Industrial Management and Data Systems, 116(9), 1887–1900. https://doi.org/10.1108/IMDS-06-2016-0248
dc.relation.referencesFaul, F., Buchner, A., Erdfelder, E., & Mayr, S. (2007). A short tutorial of GPower. Tutorials in Quantitative Methods for Psychology, 3(2), 51–59.
dc.relation.referencesFinol, K. G. (2014). Radriografia de la oferta de servicios de salud en Colombia. Banco de La Republica, 202.
dc.relation.referencesFiore, M., Capodici, A., Rucci, P., Bianconi, A., Longo, G., Ricci, M., Sanmarchi, F., & Golinelli, D. (2023). Blockchain for the Healthcare Supply Chain: A Systematic Literature Review. Applied Sciences (Switzerland), 13(2). https://doi.org/10.3390/app13020686
dc.relation.referencesFlorián, M. I. N., & Arciniegas, O. de J. S. (2019). Logística hospitalaria: una revisión bibliográfica. REDIIS/Revista de Investigación e Innovación En Salud, 2, 38–49.
dc.relation.referencesFong, A. J., Smith, M., & Langerman, A. (2016). Efficiency improvement in the operating room. The Journal of Surgical Research, 204(2), 371–383. https://doi.org/10.1016/j.jss.2016.04.054
dc.relation.referencesFornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Sage Publications Sage CA: Los Angeles, CA.
dc.relation.referencesFowler Jr, F. J. (2013). Survey research methods. Sage publications.
dc.relation.referencesGadde, L.-E., Huemer, L., & Håkansson, H. (2003). Strategizing in industrial networks. Industrial Marketing Management, 32(5), 357–364.
dc.relation.referencesGalankashi, M. R., & Helmi, S. A. (2016). Assessment of hybrid Lean-Agile (Leagile) supply chain strategies. Journal of Manufacturing Technology Management, 27(4), 470–482. https://doi.org/10.1108/JMTM-08-2015-0069
dc.relation.referencesGalaskiewicz, J. (2011). STUDYING SUPPLY CHAINS FROM A SOCIAL NETWORK PERSPECTIVE. Journal of Supply Chain Management, 47(1), 4–8. https://doi.org/https://doi.org/10.1111/j.1745-493X.2010.03209.x
dc.relation.referencesGao, L. (2015). Collaborative forecasting, inventory hedging and contract coordination in dynamic supply risk management. European Journal of Operational Research, 245(1), 133–145. https://doi.org/10.1016/j.ejor.2015.02.048
dc.relation.referencesGao, Lingyu, & Wang, X. (2019). Healthcare Supply Chain Network Coordination Through Medical Insurance Strategies with Reference Price Effect. International Journal of Environmental Research and Public Health, 16(18), 3479. https://doi.org/10.3390/ijerph16183479
dc.relation.referencesGao, T., & Tian, Y. (2014). Mechanism of supply chain coordination based on dynamic capability framework-the mediating role of manufacturing capabilities. Journal of Industrial Engineering and Management, 7(5), 1250–1267. https://doi.org/10.3926/jiem.1266
dc.relation.referencesGarcia-Buendia, N., Kristensen, T. B., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2022). Performance measurement of lean supply chain management: a balanced scorecard proposal. Production Planning and Control. https://doi.org/10.1080/09537287.2022.2114960
dc.relation.referencesGarcía-Peñalvo, F. J. (2022). Desarrollo de estados de la cuestión robustos: Revisiones Sistemáticas de Literatura. Education in the Knowledge Society, 23, e28600. https://doi.org/10.14201/eks.28600
dc.relation.referencesGebicki, M., Mooney, E., Chen, S.-J. G., & Mazur, L. M. (2014). Evaluation of hospital medication inventory policies. Health Care Management Science, 17(3), 215–229. https://doi.org/10.1007/s10729-013-9251-1
dc.relation.referencesGefen, D., & Straub, D. (2005). A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example. Communications of the Association for Information Systems, 16, 91–109. https://doi.org/10.17705/1cais.01605
dc.relation.referencesGelves Alarcón, O. M., Navarro Romero, E. del C., & García Corrales, N. (2022). Estado del arte y la técnica de las prácticas lean en instituciones de salud en América Latina: Revisión de Literatura. Avances Investigación En Ingeniería, 19(1 SE-Artículos). https://doi.org/10.18041/1794-4953/avances.1.7892
dc.relation.referencesGendy, A. W. A., & Lahmar, A. (2019). Review on healthcare supply chain. 16th ACS/IEEE International Conference on Computer Systems and Applications, AICCSA 2019, 2019-Novem. https://doi.org/10.1109/AICCSA47632.2019.9035234
dc.relation.referencesGeraldino, L. I. F., Arango, M. J. W., Romero, D., & Aguirre, S. (2016). Análisis de la Logística Hospitalaria aplicada en las Entidades de Salud de Nivel 3 y 4 en la ciudad de Barranquilla. Scientia et Technica, 21(4), 307–317.
dc.relation.referencesGerami, J., Kiani Mavi, R., Farzipoor Saen, R., & Kiani Mavi, N. (2023). A novel network DEA-R model for evaluating hospital services supply chain performance. Annals of Operations Research, 324(1–2), 1041–1066. https://doi.org/10.1007/s10479-020-03755-w
dc.relation.referencesGhadge, A., Bourlakis, M., kamble, S., & Seuring, S. (2022). Blockchain implementation in pharmaceutical supply chains: A review and conceptual framework. International Journal of Production Research. https://doi.org/10.1080/00207543.2022.2125595
dc.relation.referencesGhobakhloo, M., Tang, S. H., Sabouri, M. S., & Zulkifli, N. (2014). The impact of information system-enabled supply chain process integration on business performance: A resource-based analysis. International Journal of Information Technology and Decision Making, 13(5), 1075–1113. https://doi.org/10.1142/S0219622014500163
dc.relation.referencesGhosh, D., & Vogt, A. (2012). Outliers: An evaluation of methodologies. Joint Statistical Meetings, 12(1), 3455–3460.
dc.relation.referencesGhosh, P. K., Manna, A. K., Dey, J. K., & Kar, S. (2021). Supply chain coordination model for green product with different payment strategies: A game theoretic approach. Journal of Cleaner Production, 290. https://doi.org/10.1016/j.jclepro.2020.125734
dc.relation.referencesGiraldo, E. (2016). Estudio sobre la aplicación de Lean Healthcare en el sector hospitalario en Medellin. 171.
dc.relation.referencesGiraldo Villada, J. A., & Perilla Aristizabal, F. A. (2018). Procesos logísticos internos en la cadena de suministro hospitalaria: enfoque en la sala de operaciones.
dc.relation.referencesGligor, D., Feizabadi, J., Russo, I., Maloni, M. J., & Goldsby, T. J. (2020). The triple-a supply chain and strategic resources: developing competitive advantage. International Journal of Physical Distribution and Logistics Management, 50(2), 159–190. https://doi.org/10.1108/IJPDLM-08-2019-0258
dc.relation.referencesGobachew, A. M., Haasis, H.-D., & Berhan, E. (2023). Case assessment and identification of pharmaceutical supply chain performance measures and metrics. African Journal of Science, Technology, Innovation and Development. https://doi.org/10.1080/20421338.2022.2153981
dc.relation.referencesGolec, A., & Karadeniz, G. (2020). Performance Analysis of Healthcare Supply Chain Management with Competency-Based Operation Evaluation. Computers & Industrial Engineering, 146, 106546. https://doi.org/10.1016/j.cie.2020.106546
dc.relation.referencesGöleç, A., & Karadeniz, G. (2020). Performance analysis of healthcare supply chain management with competency-based operation evaluation. Computers & Industrial Engineering, 146, 106546.
dc.relation.referencesGonul Kochan, C., Nowicki, D. R., Sauser, B., & Randall, W. S. (2018). Impact of cloud-based information sharing on hospital supply chain performance: A system dynamics framework. International Journal of Production Economics, 195, 168–185. https://doi.org/10.1016/j.ijpe.2017.10.008
dc.relation.referencesGonzález Espitia, G. E. (2023). Modelo estratégico para la cadena de abasto en el sector hospitalario. Caso proveedor a centros de salud. Universidad Nacional de Colombia
dc.relation.referencesGoudarzi, F. S., Bergey, P., & Olaru, D. (2023). Behavioral operations management and supply chain coordination mechanisms: a systematic review and classification of the literature. Supply Chain Management, 28(1), 140–161. https://doi.org/10.1108/SCM-03-2021-0111
dc.relation.referencesGraban, M. (2011). Lean Hospitals: Improving Quality, Patient Safety, and Employee Engagement, (2 nd). Taylor & Francis Group.
dc.relation.referencesGrandori, A., & Soda, G. (2006). A relational approach to organization design. Industry and Innovation, 13(2), 151–172.
dc.relation.referencesGrant, R. M. (1991). The resource-based theory of competitive advantage: implications for strategy formulation. California Management Review, 33(3), 114–135.
dc.relation.referencesGrant, R. M. (1996). Prospering in dynamically-competitive environments: Organizational capability as knowledge integration. Organization Science, 7(4), 375–387.
dc.relation.referencesGridchyna, I., Aulois-Griot, M., Maurain, C., & Bégaud, B. (2012). How innovative are pharmaceutical innovations? The case of medicines financed through add-on payments outside of the French DRG-based hospital payment system. Health Policy, 104(1), 69–75. https://doi.org/https://doi.org/10.1016/j.healthpol.2011.11.007
dc.relation.referencesGupta, A. K. (2012). JIT in Healthcare: An Integrated Approach.
dc.relation.referencesGupta, S., Modgil, S., & Gunasekaran, A. (2020). Big data in lean six sigma: a review and further research directions. International Journal of Production Research, 58(3), 947–969. https://doi.org/10.1080/00207543.2019.1598599
dc.relation.referencesGupta, U., & Ramesh, A. (2015). Analyzing the Barriers of Health Care Supply Chain in India: The Contribution and Interaction of Factors. Procedia - Social and Behavioral Sciences, 189, 217–228. https://doi.org/https://doi.org/10.1016/j.sbspro.2015.03.217
dc.relation.referencesGutierrez, E., David, O., Alejandro, D., Mock-kow, J. S., Zapata, I., & Julio, C. (2014). domiciliaria en el Valle del Cauca : caracterización y diagnóstico. Estudios Gerenciales, 30(133), 441–450. https://doi.org/10.1016/j.estger.2014.06.004
dc.relation.referencesHabidin, N. F., Shazali, N. A., Ali, N., Khaidir, N. A., & Jamaludin, N. H. (2014). Exploring lean healthcare practice and supply chain innovation for Malaysian healthcare industry. International Journal of Business Excellence, 7(3), 394–410. https://doi.org/10.1504/IJBEX.2014.060782
dc.relation.referencesHadrawi, H. K. (2019). The impact of firm supply performance and lean processes on the relationship between supply chain management practices and competitive performance. Uncertain Supply Chain Management, 7(2), 341–350. https://doi.org/10.5267/j.uscm.2018.7.003
dc.relation.referencesHair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017). An updated and expanded assessment of PLS-SEM in information systems research. Industrial Management and Data Systems, 117(3), 442–458. https://doi.org/10.1108/IMDS-04-2016-0130
dc.relation.referencesHair, Joe F., Sarstedt, M., Hopkins, L., & Kuppelwieser, V. G. (2014). Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research. European Business Review, 26(2), 106–121. https://doi.org/10.1108/EBR-10-2013-0128
dc.relation.referencesHair, Joe F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012). An assessment of the use of partial least squares structural equation modeling in marketing research. Journal of the Academy of Marketing Science, 40(3), 414–433. https://doi.org/10.1007/s11747-011-0261-6
dc.relation.referencesHair, Joe F, Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice, 19(2), 139–152.
dc.relation.referencesHair, Joseph F., Astrachan, C. B., Moisescu, O. I., Radomir, L., Sarstedt, M., Vaithilingam, S., & Ringle, C. M. (2021). Executing and interpreting applications of PLS-SEM: Updates for family business researchers. Journal of Family Business Strategy, 12(3). https://doi.org/10.1016/j.jfbs.2020.100392
dc.relation.referencesHair, Joseph F., Ringle, C. M., Gudergan, S. P., Fischer, A., Nitzl, C., & Menictas, C. (2019). Partial least squares structural equation modeling-based discrete choice modeling: an illustration in modeling retailer choice. Business Research, 12(1), 115–142. https://doi.org/10.1007/s40685-018-0072-4
dc.relation.referencesHair, Joseph F., Sarstedt, M., Pieper, T. M., & Ringle, C. M. (2012). The Use of Partial Least Squares Structural Equation Modeling in Strategic Management Research: A Review of Past Practices and Recommendations for Future Applications. Long Range Planning, 45(5–6), 320–340. https://doi.org/10.1016/j.lrp.2012.09.008
dc.relation.referencesHair, Joseph F. (2009). Multivariate data analysis.
dc.relation.referencesHair, Joseph F. (2021). Reflections on SEM: An Introspective, Idiosyncratic Journey to Composite-Based Structural Equation Modeling. The DATA BASE for Advances in Information Systems, 52(SI), 101–113.
dc.relation.referencesHair, Joseph F, Hult, G. T. M., Ringle, C. M., Sarstedt, M., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2019). Manual de partial least squares structural equation modeling (pls-sem). OmniaScience Scholar.
dc.relation.referencesHair, Joseph F, Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: a comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45, 616–632.
dc.relation.referencesHair, Joseph F, Ringle, C. M., Gudergan, S., Castillo Apraiz, J., Cepeda Carrión, G., & Roldán, J. L. (2021). Manual avanzado de Partial least squares structural equation modeling (PLS-SEM). OmniaScience Scholar.
dc.relation.referencesHair, Joseph F, Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24.
dc.relation.referencesHair Jr, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Ringle, C. M., & Hair, J. F. (2021). A primer on partial least squares structural equation modeling (PLS-SEM). In Handbook of market research (pp. 587–632). Sage publications.
dc.relation.referencesHald, K. S., & Spring, M. (2023). Actor–network theory: A novel approach to supply chain management theory development. Journal of Supply Chain Management, 59(2), 87–105. https://doi.org/10.1111/jscm.12296
dc.relation.referencesHalldorsson, A., Kotzab, H., Mikkola, J. H., & Skjøtt-Larsen, T. (2007). Complementary theories to supply chain management. Supply Chain Management: An International Journal, 12, 284–296. https://doi.org/10.1108/13598540710759808
dc.relation.referencesHalldorsson, A., & Stentoft, J. (2005). Research Methodologies in Supply Chain Management — What Do We Know? (pp. 107–122). https://doi.org/10.1007/3-7908-1636-1_8
dc.relation.referencesHalling, B., & Wijk, K. (2013). Experienced Barriers to Lean in Swedish Manufacturing and Health Care. International Journal of Lean Thinking, 4(2), 43–63.
dc.relation.referencesHamdoun, M. (2020). The antecedents and outcomes of environmental management based on the resource-based view: A systematic literature review. Management of Environmental Quality: An International Journal.
dc.relation.referencesHan, Y., Caldwell, N. D., & Ghadge, A. (2020). Social network analysis in operations and supply chain management: a review and revised research agenda. International Journal of Operations and Production Management, 40(7–8), 1153–1176. https://doi.org/10.1108/IJOPM-06-2019-0500
dc.relation.referencesHanna, B., Xu, G., Wang, X., & Hossain, J. (2022). Blockchain-enabled humanitarian supply chain management: sustainability and responsibility. In Blockchain in a Volatile-Uncertain-Complex-Ambiguous World (pp. 251–276). Elsevier. https://doi.org/10.1016/B978-0-323-89963-5.00001-0
dc.relation.referencesHaque, M., & Islam, R. (2018). Impact of supply chain collaboration and knowledge sharing on organizational outcomes in pharmaceutical industry of Bangladesh. Journal of Global Operations and Strategic Sourcing, 11(3), 301–320. https://doi.org/10.1108/JGOSS-02-2018-0007
dc.relation.referencesHarden, A., & Thomas, J. (2005). Methodological Issues in Combining Diverse Study Types in Systematic Reviews. International Journal of Social Research Methodology, 8(3), 257–271. https://doi.org/10.1080/13645570500155078
dc.relation.referencesHarrison, M. I., Paez, K., Carman, K. L., Stephens, J., Smeeding, L., Devers, K. J., & Garfinkel, S. (2014). Effects of organizational context on Lean implementation in five hospital systems. Health Care Management Review, 00(0), 1. https://doi.org/10.1097/HMR.0000000000000049
dc.relation.referencesHashmi, A. R., Amirah, N. A., & Yusof, Y. (2020). Mediating Effect of Integrated Systems on the Relationship between Supply Chain Management Practices and Public Healthcare Performance: Structural Equation Modeling. International Journal of Management and Sustainability, 9(3 SE-Articles), 148–160. https://doi.org/10.18488/journal.11.2020.93.148.160
dc.relation.referencesHaszlinna Mustaffa, N., & Potter, A. (2009). Healthcare supply chain management in Malaysia: a case study. Supply Chain Management: An International Journal, 14(3), 234–243. https://doi.org/10.1108/13598540910954575
dc.relation.referencesHausman, N. L., Javed, N., Bednar, M. K., Guell, M., Schaller, E., Nevill, R. E., & Kahng, S. (2022). Interobserver agreement: A preliminary investigation into how much is enough? Journal of Applied Behavior Analysis, 55(2), 357–368.
dc.relation.referencesHe, Q. (1999). Knowledge Discovery Through Co-Word Analysis. Libr. Trends, 48.
dc.relation.referencesHearnshaw, E. J. S., & Wilson, M. M. J. (2013). A complex network approach to supply chain network theory. International Journal of Operations and Production Management, 33(4), 442–469. https://doi.org/10.1108/01443571311307343
dc.relation.referencesHelper, S., & Sako, M. (2012). Management innovation in supply chain: Appreciating Chandler in the twenty-first century. In Management Innovation: Essays in the Spirit of Alfred D. Chandler, Jr. Oxford University Press. https://doi.org/10.1093/acprof:oso/9780199695683.003.0006
dc.relation.referencesHennet, J.-C., & Arda, Y. (2008). Supply chain coordination: A game-theory approach. Engineering Applications of Artificial Intelligence, 21(3), 399–405.
dc.relation.referencesHenseler, J., Dijkstra, T. K., Sarstedt, M., Ringle, C. M., Diamantopoulos, A., Straub, D. W., Ketchen Jr, D. J., Hair, J. F., Hult, G. T. M., & Calantone, R. J. (2014). Common beliefs and reality about PLS: Comments on Rönkkö and Evermann (2013). Organizational Research Methods, 17(2), 182–209.
dc.relation.referencesHenseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8
dc.relation.referencesHenseler, J., Ringle, C. M., & Sarstedt, M. (2016). Testing measurement invariance of composites using partial least squares. International Marketing Review, 33(3), 405–431.
dc.relation.referencesHerbert Kotzab, Seuring, S., Müller, M., & Reiner, G. (2006). Research Methodologies in Supply Chain Management (Physica Heidelberg (ed.); 1st ed.). https://doi.org/https://doi.org/10.1007/3-7908-1636-1
dc.relation.referencesHernandez-Nieto, R. (2002). Contribuciones Al Analisis Estadistico de Datos: Sensibilidad (Estabilidad y Consistencia) de Varios Coeficientes de Variabilidad Relativa y el Coeficiente de Variacion Proporcional (Cvp). el Coeficiente de Validez de Contenido (Cvc) y el Coeficiente Kapp. CreateSpace Independent Publishing Platform.
dc.relation.referencesHernández–Nieto, R. (2002). Antecedentes del Problema, necesidad de un nuevo coeficiente. Contribuciones Al Análisis Estadístico: Coeficientes Cvp y Cvc. 1ra Ed. Mérida: ULA, IESINFO, 82–92.
dc.relation.referencesHeru, F. (2016). Understanding why the role of accounting is unchanged in Indonesian public hospitals. Journal of Accounting & Organizational Change, 12(2), 203–222. https://doi.org/10.1108/JAOC-03-2014-0020
dc.relation.referencesHerzog, N. V., & Tonchia, S. (2014). An instrument for measuring the degree of lean implementation in manufacturing. Strojniški Vestnik-Journal of Mechanical Engineering, 60(12), 797–803
dc.relation.referencesHinterplattner, M., Gerschberger, M., & Staberhofer, F. (2016). Supply Chain Management in Hospitals-Impetus from Organizational and Behavioral Theories. Journal of Marketing Development and Competitiveness, 10(2), 54.
dc.relation.referencesHopkins, S., Walter, M., & Collins, S. (2017). Lean Daily Management: Exploring the Effectiveness in Reducing Product Returns and Overnight Shipment Occurrences in a Materials Management Department. Health Care Manager, 36(3), 267–272. https://doi.org/10.1097/HCM.0000000000000173
dc.relation.referencesHossein, D., & Staffan, B. (2012). Differentiation by improving quality of services at the last touch point: The case of Tehran pharmacies. International Journal of Quality and Service Sciences, 4(4), 345–363. https://doi.org/10.1108/17566691211288331
dc.relation.referencesHu, Z., Sarfraz, M., Khawaja, K. F., Shaheen, H., & Mariam, S. (2022). The influence of knowledge management capacities on pharmaceutical firms competitive advantage: The mediating role of supply chain agility and moderating role of inter functional integration. Frontiers in Public Health, 10, 953478.
dc.relation.referencesHuang, X., Choi, S.-M., & Ching, W.-K. (2010). Quantity discount contract for supply chain coordination with false failure returns. 2010 6th International Conference on Natural Computation, ICNC’10, 8, 4450–4454. https://doi.org/10.1109/ICNC.2010.5583488
dc.relation.referencesHuang, Y.-S., Ho, J.-W., & Kao, W.-Y. (2022). Availability and reliability of information transmission for supply chain coordination with demand information sharing. Computers and Industrial Engineering, 172. https://doi.org/10.1016/j.cie.2022.108642
dc.relation.referencesHuang, Y., Wang, K., Zhang, T., & Pang, C. (2016). Green supply chain coordination with greenhouse gases emissions management: A game-theoretic approach. Journal of Cleaner Production, 112, 2004–2014. https://doi.org/10.1016/j.jclepro.2015.05.137
dc.relation.referencesHult, G. T. M., Ketchen Jr., D. J., Cavusgil, S. T., & Calantone, R. J. (2006). Knowledge as a strategic resource in supply chains. Journal of Operations Management, 24(5), 458–475. https://doi.org/10.1016/j.jom.2005.11.009
dc.relation.referencesHundal, G. S., Thiyagarajan, S., Alduraibi, M., Laux, C. M., Furterer, S. L., Cudney, E. A., & Antony, J. (2022). The impact of Lean Six Sigma practices on supply chain resilience during COVID 19 disruption: a conceptual framework. Total Quality Management and Business Excellence, 33(15–16), 1913–1931. https://doi.org/10.1080/14783363.2021.2014313
dc.relation.referencesHunt, S. D., & Davis, D. F. (2012). Grounding Supply Chain Management in Resource-Advantage Theory: In Defense of a Resource-Based View of the Firm. Journal of Supply Chain Management, 48(2), 14–20. https://doi.org/10.1111/j.1745-493X.2012.03266.x
dc.relation.referencesHuo, B., Han, Z., & Prajogo, D. (2016). Antecedents and consequences of supply chain information integration: a resource-based view. Supply Chain Management, 21(6), 661–677. https://doi.org/10.1108/SCM-08-2015-0336
dc.relation.referencesHuo, B., Zhang, C., & Zhao, X. (2015). The effect of IT and relationship commitment on supply chain coordination: A contingency and configuration approach. Information and Management, 52(6), 728–740. https://doi.org/10.1016/j.im.2015.06.007
dc.relation.referencesHussain, M., Ajmal, M. M., Gunasekaran, A., & Khan, M. (2018). Exploration of social sustainability in healthcare supply chain. Journal of Cleaner Production, 203, 977–989.
dc.relation.referencesHussain, M., Khan, M., Ajmal, M., Sheikh, K. S., & Ahamat, A. (2019). A multi-stakeholders view of the barriers of social sustainability in healthcare supply chains. Sustainability Accounting, Management and Policy Journal, 10(2), 290–313. https://doi.org/10.1108/SAMPJ-05-2018-0140
dc.relation.referencesICP, I. de C. P. H. E. O. (2021). Adquisición de medicamentos en Colombia.
dc.relation.referencesIk-Whan, K., & Sung-Ho, K. (2018). Framework for successful supply chain implementation in healthcare area from provider’s prospective. Asia Pacific Journal of Innovation and Entrepreneurship, 12(2), 135–145. https://doi.org/10.1108/APJIE-04-2018-002
dc.relation.referencesINVIMA. (2020). ESTABLECIMIENTOS NACIONALES FABRICANTES DE MEDICAMENTOS CERTIFICADOS CON BUENAS PRÁCTICAS DE MANUFACTURA.
dc.relation.referencesIqbal, M. J., Geer, M. I., & Dar, P. A. (2017). Medicines management in hospitals: A supply chain perspective. Systematic Reviews in Pharmacy, 8(1), 80.
dc.relation.referencesIyer, S. G., Pillai, V. K., & Mandal, S. (2020). Research avenues in ensuring safety of healthcare operations: a perspective through logistics/supply chain, technology, quality and waste management. International Journal of Indian Culture and Business Management, 20(2), 262–288.
dc.relation.referencesJadhav, J. S., & Deshmukh, J. (2022). A review study of the blockchain-based healthcare supply chain. Social Sciences and Humanities Open, 6(1). https://doi.org/10.1016/j.ssaho.2022.100328
dc.relation.referencesJarvis, C. B., MacKenzie, S. B., & Podsakoff, P. M. (2003). A critical review of construct indicators and measurement model misspecification in marketing and consumer research. Journal of Consumer Research, 30(2), 199–218.
dc.relation.referencesJayaraman, R., Buyurgan, N., Rardin, R. L., Varghese, V. M., & Pazour, J. A. (2015). An Exploratory Pilot Study on Supply Chain Data Standards in a Hospital Pharmacy. Engineering Management Journal, 27(3), 141–151. https://doi.org/10.1080/10429247.2015.1062692
dc.relation.referencesJiménez, A. M., Guerrero, J. G., Amaya, C. a. A., & Velasco, N. (2007). Optimización de los recursos en los hospitales : revisión de la literatura sobre logística hospitalaria. Los Cuadernos de PYLO -Logística Hospitalaria-, 12.
dc.relation.referencesJohnson-Hall, T. D., & Hall, D. C. (2022). Redefining Quality in Food Supply Chains via the Natural Resource Based View and Convention Theory. Sustainability (Switzerland), 14(15). https://doi.org/10.3390/su14159456
dc.relation.referencesJörg, H., Geoffrey, H., & Ash, R. P. (2016). Using PLS path modeling in new technology research: updated guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
dc.relation.referencesJovanovic, M., Radovanovic, S., Vukicevic, M., Van Poucke, S., & Delibasic, B. (2016). Building interpretable predictive models for pediatric hospital readmission using Tree-Lasso logistic regression. Artificial Intelligence in Medicine, 72, 12–21. https://doi.org/https://doi.org/10.1016/j.artmed.2016.07.003
dc.relation.referencesJuying, Z. (2014). Semi-parametric identification of determinants of health expenditures – evidence from inpatients in China. Management Decision, 52(7), 1302–1318. https://doi.org/10.1108/MD-11-2012-0796
dc.relation.referencesKadiri, A., Azzouzi, H., & Sefiani, N. (2019). Enhancing hospital supply chain performance through an efficient hospital information System: First insights after a systematic literature review study. 12th International Colloquium on Logistics and Supply Chain Management, LOGISTIQUA 2019. https://doi.org/10.1109/LOGISTIQUA.2019.8907290
dc.relation.referencesKahlen, F.-J., & Patel, Y. (2011). Leaning the supply chain to maximize value delivery to the customer: A case study. Leadership and Management in Engineering, 11(2), 128–136. https://doi.org/10.1061/(ASCE)LM.1943-5630.0000112
dc.relation.referencesKanokphanvanich, C., Rattanawong, W., & Vongmanee, V. (2022). A Meta-Analysis of Health care Supply Chain Performance for Patient Safety. 14th International Conference on Software, Knowledge, Information Management and Applications, SKIMA 2022, 2022-Decem, 13–20. https://doi.org/10.1109/SKIMA57145.2022.10029487
dc.relation.referencesKanyoma, K. E., Agbola, F. W., & Oloruntoba, R. (2018). An evaluation of supply chain integration across multi-tier supply chains of manufacturing-based SMEs in Malawi. International Journal of Logistics Management, 29(3), 1001–1024. https://doi.org/10.1108/IJLM-10-2017-0277
dc.relation.referencesKarakadilar, I. S., & Hicks, B. J. (2015). Exploring the moderating role of lean production on supplier performance: An empirical study of Turkish automotive part suppliers. Bogazici Journal, 29(2), 73–97. https://doi.org/10.21773/boun.29.2.5
dc.relation.referencesKaruppasamy, S. K., & Uthayakumar, R. (2019). Coordination of a three-level supply chain with variable demand and order size dependent trade credit in healthcare industries. International Journal of System Assurance Engineering and Management, 10(2), 285–298. https://doi.org/10.1007/s13198-019-00782-0
dc.relation.referencesKathleen, I., Yao, Z., & Adam, F. (2013). Resell versus direct models in brand drug distribution. International Journal of Pharmaceutical and Healthcare Marketing, 7(4), 324–340. https://doi.org/10.1108/IJPHM-09-2012-0005
dc.relation.referencesKaufmann, L., & Gaeckler, J. (2015). A structured review of partial least squares in supply chain management research. Journal of Purchasing and Supply Management, 21(4), 259–272. https://doi.org/10.1016/j.pursup.2015.04.005
dc.relation.referencesKaur, A., Kanda, A., & Deshmukh, S. G. (2006). A graph theoretic approach for supply chain coordination. International Journal of Logistics Systems and Management, 2(4), 321–341. https://doi.org/10.1504/IJLSM.2006.010379
dc.relation.referencesKaur, P., Sharma, M., & Mittal, M. (2018). Big Data and Machine Learning Based Secure Healthcare Framework. Procedia Computer Science, 132, 1049–1059. https://doi.org/https://doi.org/10.1016/j.procs.2018.05.020
dc.relation.referencesKazmi, S. W., & Ahmed, W. (2022). Understanding dynamic distribution capabilities to enhance supply chain performance: a dynamic capability view. Benchmarking, 29(9), 2822–2841. https://doi.org/10.1108/BIJ-03-2021-0135
dc.relation.referencesKelle, P., Woosley, J., & Schneider, H. (2012). Pharmaceutical supply chain specifics and inventory solutions for a hospital case. Operations Research for Health Care, 1(2–3), 54–63. https://doi.org/10.1016/j.orhc.2012.07.001
dc.relation.referencesKhajouei, R., Abbasi, R., & Mirzaee, M. (2018). Errors and causes of communication failures from hospital information systems to electronic health record: A record-review study. International Journal of Medical Informatics, 119, 47–53. https://doi.org/https://doi.org/10.1016/j.ijmedinf.2018.09.004
dc.relation.referencesKhalil, M., Ravaghi, H., Samhouri, D., Abo, J., Ali, A., Sakr, H., & Camacho, A. (2022). What is “hospital resilience”? A scoping review on conceptualization, operationalization, and evaluation. In Frontiers in public health (Vol. 10, p. 1009400). https://doi.org/10.3389/fpubh.2022.1009400
dc.relation.referencesKhaoula, K., & Abouabdellah, A. (2017). Redesigning the hospital supply chain for enhanced performance using a lean methodology. 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, 917–927.
dc.relation.referencesKhare, A., & Khare, A. (2012). Determinants of Indian retailers’ attitude towards using mobile technology for supply chain coordination. International Journal of Logistics Systems and Management, 11(4), 473–491. https://doi.org/10.1504/IJLSM.2012.046702
dc.relation.referencesKhlie, K., & Abouabdellah, A. (2016). Redesigning the hospital supply chain for enhanced performance using a lean methodology. International Review on Modelling and Simulations, 9(6), 407–413. https://doi.org/10.15866/iremos.v9i6.10808
dc.relation.referencesKholaif, M. M. N. H. K., Xiao, M., & Tang, X. (2023). Opportunities Presented by COVID-19 for Healthcare Green Supply Chain Management and Sustainability Performance: The Moderating Effect of Social Media Usage. IEEE Transactions on Engineering Management, 1–14. https://doi.org/10.1109/TEM.2023.3239504
dc.relation.referencesKhorasani, S T, Maghazei, O., & Cross, J. A. (2015). A structured review of lean supply chain management in health care. In N. E.-H., L. S., & S. A. (Eds.), International Annual Conference of the American Society for Engineering Management 2015, ASEM 2015 (pp. 413–422). American Society for Engineering Management.
dc.relation.referencesKhorasani, Sasan T, Cross, J., & Maghazei, O. (2020). Lean supply chain management in healthcare: a systematic review and meta-study. International Journal of Lean Six Sigma, 11, 1–34.
dc.relation.referencesKhoukhi, S., Bojji, C., & Bensouda, Y. (2019). A review of medical distribution logistics in pharmaceutical supply chain. International Journal of Logistics Systems and Management, 34(3), 297–326. https://doi.org/10.1504/IJLSM.2019.103085
dc.relation.referencesKim, H. K., & Lee, C. W. (2021). Relationships among healthcare digitalization, social capital, and supply chain performance in the healthcare manufacturing industry. International Journal of Environmental Research and Public Health, 18(4), 1–13. https://doi.org/10.3390/ijerph18041417
dc.relation.referencesKleinheksel, A. J., Rockich-Winston, N., Tawfik, H., & Wyatt, T. R. (2020). Demystifying content analysis. American Journal of Pharmaceutical Education, 84(1).
dc.relation.referencesKock, N. (2015). Common method bias in PLS-SEM: A full collinearity assessment approach. International Journal of E-Collaboration (Ijec), 11(4), 1–10.
dc.relation.referencesKock, N., & Lynn, G. (2012). Lateral collinearity and misleading results in variance-based SEM: An illustration and recommendations. Journal of the Association for Information Systems, 13(7).
dc.relation.referencesKonrad, R., Vanberkel, P., & Lawley, M. (2017). A new data source to support hospital operations modeling, message-exchange protocols as illustrated through simulation. IISE Transactions on Healthcare Systems Engineering, 7(1), 30–42. https://doi.org/10.1080/19488300.2016.1255286
dc.relation.referencesKonstantinos, D., Abdul, R., & H., K. P. (2006). The applicability of a multi‐attribute classification framework in the healthcare industry. Journal of Manufacturing Technology Management, 17(6), 772–785. https://doi.org/10.1108/17410380610678792
dc.relation.referencesKostoff, R. N. (1993). Co-Word Analysis BT - Evaluating R&D Impacts: Methods and Practice (B. Bozeman & J. Melkers (eds.); pp. 63–78). Springer US. https://doi.org/10.1007/978-1-4757-5182-6_4
dc.relation.referencesKotzab, H., & Seuring, S. (2005). Research methodologies in supply chain management. Springer.
dc.relation.referencesKritchanchai, D, Krichanchai, S., Hoeur, S., & Tan, A. (2019). Healthcare supply chain management: Macro and micro perspectives . Logforum, 15(4), 531–544. https://doi.org/10.17270/J.LOG.2019.371
dc.relation.referencesKritchanchai, Duangpun, Hoeur, S., & Engelseth, P. (2018). Develop a strategy for improving healthcare logistics performance. Supply Chain Forum: An International Journal, 19(1), 55–69. https://doi.org/10.1080/16258312.2017.1416876
dc.relation.referencesKumalaningrum, M. P., Ciptono, W. S., Indarti, N., & Purnomo, B. R. (2023). Ambidexterity in Indonesian SMEs: A systematic review and synthesis for future research. Cogent Business and Management, 10(1). https://doi.org/10.1080/23311975.2023.2199490
dc.relation.referencesKumar, A., Mani, V., Jain, V., Gupta, H., & Venkatesh, V. G. (2023). Managing healthcare supply chain through artificial intelligence (AI): A study of critical success factors. Computers and Industrial Engineering, 175. https://doi.org/10.1016/j.cie.2022.108815
dc.relation.referencesKumar, G. (2020). Collaboration between supply chain partners: when does it matter? Evidence from collaborative profiles. Journal of Business and Industrial Marketing, 36(6), 1042–1057. https://doi.org/10.1108/JBIM-07-2020-0307
dc.relation.referencesKummer, S., Herold, D. M., Dobrovnik, M., Mikl, J., & Schäfer, N. (2020). A systematic review of blockchain literature in logistics and supply chain management: Identifying research questions and future directions. Future Internet, 12(3). https://doi.org/10.3390/fi12030060
dc.relation.referencesKuupiel, D., Bawontuo, V., & Mashamba-Thompson, T. P. (2017). Improving the accessibility and efficiency of point-of-care diagnostics services in lowand middle-income countries: Lean and agile supply chain management. Diagnostics, 7(4). https://doi.org/10.3390/diagnostics7040058
dc.relation.referencesKwak, S. K., & Kim, J. H. (2017). Statistical data preparation: management of missing values and outliers. Korean Journal of Anesthesiology, 70(4), 407–411.
dc.relation.referencesKwong, K., & Wong, K. (2019). Confirmatory Tetrad Analysis, Quadratic Effect Modeling, and Heterogeneity Modeling in Partial Least Squares Structural Equation Modeling (PLS-SEM) using SmartPLS 3. Mastering Partial Least Squares Structural Equation Modeling (PLS-SEM) in 38 Hours. February, 35.
dc.relation.referencesLahjouji, M., El Alami, J., Hlyal, M., & Lahjouji, O. (2023). A systematic literature review: the power of the blockchain technology to improve pharmaceutical supply chain. Journal of Theoretical and Applied Information Technology, 101(2), 952–971
dc.relation.referencesLambert, D. M. (2008). Supply chain management: processes, partnerships, performance. Supply Chain Management Inst.
dc.relation.referencesLarson, P. D., & Halldorsson, A. (2004). Logistics versus supply chain management: An international survey. International Journal of Logistics Research and Applications, 7(1), 17–31. https://doi.org/10.1080/13675560310001619240
dc.relation.referencesLau, Y.-Y., Dulebenets, M. A., Yip, H.-T., & Tang, Y.-M. (2022). Healthcare Supply Chain Management under COVID-19 Settings: The Existing Practices in Hong Kong and the United States. Healthcare (Switzerland), 10(8). https://doi.org/10.3390/healthcare10081549
dc.relation.referencesLe, P. L., & Nguyen, N. T. D. (2022). Prospect of lean practices towards construction supply chain management trends. International Journal of Lean Six Sigma, 13(3), 557–593. https://doi.org/10.1108/IJLSS-06-2020-0071
dc.relation.referencesLee, c., & ha, b.-c. (2020). The impact of interactional justice and supply-chain collaboration on sustainable SCM performance: The case of multinational pharmaceutical firms. The Journal of Asian Finance, Economics and Business, 7(2), 237–247.
dc.relation.referencesLee, C. K. M., Ho, W., Ho, G. T. S., & Lau, H. C. W. (2011). Design and development of logistics workflow systems for demand management with RFID. Expert Systems with Applications, 38(5), 5428–5437. https://doi.org/10.1016/j.eswa.2010.10.012
dc.relation.referencesLee, K. L., Romzi, P. N., Hanaysha, J. R., Alzoubi, H. M., & Alshurideh, M. (2022). Investigating the impact of benefits and challenges of IOT adoption on supply chain performance and organizational performance: An empirical study in Malaysia. Uncertain Supply Chain Management, 10(2), 537–550. https://doi.org/10.5267/j.uscm.2021.11.009
dc.relation.referencesLee, S. M., Lee, D., & Schniederjans, M. J. (2011). Supply chain innovation and organizational performance in the healthcare industry. International Journal of Operations and Production Management, 31(11), 1193–1214. https://doi.org/10.1108/01443571111178493
dc.relation.referencesLehoux, N., Damours, S., & Langevin, A. (2014). Inter-firm collaborations and supply chain coordination: Review of key elements and case study. Production Planning and Control, 25(10), 858–872. https://doi.org/10.1080/09537287.2013.771413
dc.relation.referencesLehyani, F., Zouari, A., Ghorbel, A., & Tollenaere, M. (2021). Defining and Measuring Supply Chain Performance: A Systematic Literature Review. EMJ - Engineering Management Journal, 33(4), 283–313. https://doi.org/10.1080/10429247.2020.1834309
dc.relation.referencesLeite, H., Lindsay, C., & Kumar, M. (2021). COVID-19 outbreak: implications on healthcare operations. TQM Journal, 33(1), 247–256. https://doi.org/10.1108/TQM-05-2020-0111
dc.relation.referencesLemma, H. R., Singh, R., & Kaur, N. (2015). Determinants of supply chain coordination of milk and dairy industries in Ethiopia: a case of Addis Ababa and its surroundings. SpringerPlus, 4(1). https://doi.org/10.1186/s40064-015-1287-x
dc.relation.referencesLeys, C., Klein, O., Dominicy, Y., & Ley, C. (2018). Detecting multivariate outliers: Use a robust variant of the Mahalanobis distance. Journal of Experimental Social Psychology, 74, 150–156.
dc.relation.referencesLi, A. Q., & Found, P. (2016). Lean and Green Supply Chain for the Product-Services System (PSS): The Literature Review and A Conceptual Framework. In T. T., C. S., P. G., & C. E. (Eds.), Product-Service Systems across Life Cycle, 2016 (Vol. 47, pp. 162–167). Elsevier B.V. https://doi.org/10.1016/j.procir.2016.03.057
dc.relation.referencesLi, J., Luo, X., Wang, Q., & Zhou, W. (2021). Supply chain coordination through capacity reservation contract and quantity flexibility contract. Omega (United Kingdom), 99. https://doi.org/10.1016/j.omega.2020.102195
dc.relation.referencesLi, L., & Zhang, H. (2008). Confidentiality and information sharing in supply chain coordination. Management Science, 54(8), 1467–1481. https://doi.org/10.1287/mnsc.1070.0851
dc.relation.referencesLi, S., Zhao, X., & Huo, B. (2018). Supply chain coordination and innovativeness: A social contagion and learning perspective. International Journal of Production Economics, 205, 47–61. https://doi.org/10.1016/j.ijpe.2018.07.033
dc.relation.referencesLi, Y., Chen, R., & Li, L. (2009). Quantifying model of 3-echelon supply chain coordination complexity information entropy based. International Conference on Management and Service Science, MASS 2009. https://doi.org/10.1109/ICMSS.2009.5303821
dc.relation.referencesLiang, Q., Li, L., & Bai, R. (2021). Welfare effects of vegetable producers’ inclusiveness in supply chain coordination: direct effects and spillovers. British Food Journal, 123(4), 1305–1323. https://doi.org/10.1108/BFJ-07-2020-0652
dc.relation.referencesLittle, J., & Coughlan, B. (2008). Optimal inventory policy within hospital space constraints. Health Care Management Science, 11(2), 177–183. https://doi.org/10.1007/s10729-008-9066-7
dc.relation.referencesLiu, W., & Wang, Z. (2014). The research on the Supply-chain Management based on E-Business platform. 3551–3556. https://doi.org/10.1109/CCDC.2014.6852795
dc.relation.referencesLondon, K., & Pablo, Z. (2017). An actor–network theory approach to developing an expanded conceptualization of collaboration in industrialized building housing construction. Construction Management and Economics, 35(8–9), 553–577.
dc.relation.referencesLopez, K. A., Rubio, M. O., Forero, I. E. D., & Molina, E. (2020). Desarrollo de la metodología lean healthcare en el servicio de medicina interna de una institución hospitalaria de carácter públicO. Revista Ingeniería, Matemáticas y Ciencias de La Información, 7(13 SE-Artículos).
dc.relation.referencesLorscheid, I., Meyer, M., Pakur, S., & Ringle, C. (2014). The PLS Agent – Agent Behavior Validation by Partial Least Squares.
dc.relation.referencesLowry, P. B., & Gaskin, J. (2014). Partial Least Squares (PLS) Structural Equation Modeling (SEM) for Building and Testing Behavioral Causal Theory: When to Choose It and How to Use It. IEEE Transactions on Professional Communication, 57(2), 123–146. https://doi.org/10.1109/TPC.2014.2312452
dc.relation.referencesLuo, M., Li, G., Johnny Wan, C. L., Qu, R., & Ji, P. (2015). Supply chain coordination with dual procurement sources via real-option contract. Computers and Industrial Engineering, 80, 274–283. https://doi.org/10.1016/j.cie.2014.12.019
dc.relation.referencesMacDonald, J. (2014). Systematic Approaches to a Successful Literature Review. The Journal of the Canadian Health Libraries Association, 34(1), 46. https://doi.org/10.5596/c13-009
dc.relation.referencesMachado Guimarães, C., & Crespo de Carvalho, J. (2013). Strategic outsourcing: a lean tool of healthcare supply chain management. Strategic Outsourcing: An International Journal, 6(2), 138–166. https://doi.org/10.1108/SO-11-2011-0035
dc.relation.referencesMahdiraji, H. A., Kamardi, A. A., Beheshti, M., Hajiagha, S. H. R., & Rocha-Lona, L. (2022). Analysing supply chain coordination mechanisms dealing with repurposing challenges during Covid-19 pandemic in an emerging economy: a multi-layer decision making approach. Operations Management Research, 15(3–4), 1341–1360. https://doi.org/10.1007/s12063-021-00224-w
dc.relation.referencesMahmoudi, V., Feizpour, M. A., Mahdiraji, H. A., & Sharifabadi, B. D. (2019). Designing a Model for Assessing the Sustainable Supply Chain Performance of Governmental Hospitals using Grounded Theory Approach . Journal of Health Administration, 22(1), 103–118.
dc.relation.referencesMaleki Minbashrazgah, M., & Shabani, A. (2019). Eco-capability role in healthcare facility’s performance: Natural-resource-based view and dynamic capabilities paradigm. Management of Environmental Quality: An International Journal, 30(1), 137–156.
dc.relation.referencesMalone, T. W., & Crowston, K. (1994). The Interdisciplinary Study of Coordination. ACM Computing Surveys (CSUR), 26(1), 87–119. https://doi.org/10.1145/174666.174668
dc.relation.referencesMandal, S. (2017). The influence of organizational culture on healthcare supply chain resilience: moderating role of technology orientation. Journal of Business and Industrial Marketing, 32(8), 1021–1037. https://doi.org/10.1108/JBIM-08-2016-0187
dc.relation.referencesMandal, S. (2018). Influence of human capital on healthcare agility and healthcare supply chain performance. Journal of Business and Industrial Marketing, 33(7), 1012–1026. https://doi.org/10.1108/JBIM-06-2017-0141
dc.relation.referencesMandal, Santanu. (2017). The influence of dynamic capabilities on hospital-supplier collaboration and hospital supply chain performance. International Journal of Operations & Production Management, 37(5), 664–684. https://doi.org/10.1108/IJOPM-05-2016-0249
dc.relation.referencesMandal, Santanu, & Jha, R. R. (2018). Exploring the importance of collaborative assets to hospital-supplier integration in healthcare supply chains. International Journal of Production Research, 56(7), 2666–2683.
dc.relation.referencesMandal, Santanu, Nair, S., Sreedhar, A., & Vijeshwari, U. (2022). Exploring the impact of orientations on hospital-supplier collaboration: an empirical study. International Journal of Services and Operations Management, 42(1), 52–74.
dc.relation.referencesManzoor, U., Baig, S. A., Hashim, M., Sami, A., Rehman, H.-U., & Sajjad, I. (2022). The effect of supply chain agility and lean practices on operational performance: a resource-based view and dynamic capabilities perspective. TQM Journal, 34(5), 1273–1297. https://doi.org/10.1108/TQM-01-2021-0006
dc.relation.referencesMarcel, P., Patrick, R., & Alexander, P. (2016). Enhancing supply chain visibility in a pharmaceutical supply chain: Solutions based on automatic identification technology. International Journal of Physical Distribution & Logistics Management, 46(9), 859–884. https://doi.org/10.1108/IJPDLM-06-2016-0151
dc.relation.referencesMari, S. I., Lee, Y. H., & Memon, M. S. (2015). Complex network theory-based approach for designing resilient supply chain networks. International Journal of Logistics Systems and Management, 21(3), 365–384. https://doi.org/10.1504/IJLSM.2015.069733
dc.relation.referencesMarín, G. M., & Manrique, F. D. M. C. (2011). Gestión institucional bajo la presión del mercado competitivo en el sistema de salud Colombiano, 2007-2008. Iatreia, 24(1), 16–25.
dc.relation.referencesMarkus, L., & Irvine, L. (2003). The reform of hospital financing in Germany: an international solution? Journal of Health Organization and Management, 17(5), 360–372. https://doi.org/10.1108/14777260310505138
dc.relation.referencesMarques, L., Martins, M., Araújo, C., & Marques, L. (2019). The Management of Operations The healthcare supply network : current state of the literature and research opportunities opportunities. Production Planning & Control, 0(0), 1–17. https://doi.org/10.1080/09537287.2019.1663451
dc.relation.referencesMarques, L., Martins, M., & Marques, L. (2019). La red de suministros de salud : estado actual de la literatura y oportunidades de investigación. 7287. https://doi.org/10.1080/09537287.2019.1663451
dc.relation.referencesMartins, K., Gomes, L., & Paula, M. (2022). Software IRaMuTeQ: una herramienta de ayuda en el Análisis Textual Discursivo. PARADIGMA, 205–227. https://doi.org/10.37618/PARADIGMA.1011-2251.2022.p205-227.id1224
dc.relation.referencesMathew, J., & John, J. (2013). New Trends in Healthcare Supply chain
dc.relation.referencesMathur, B., Gupta, S., Meena, M. L., & Dangayach, G. S. (2018). Healthcare supply chain management: literature review and some issues. Journal of Advances in Management Research, 15(3), 265–287. https://doi.org/10.1108/JAMR-09-2017-0090
dc.relation.referencesMathur, B., Gupta, S., Meena, M. L., Dangayach, G. S., Packowski, J., Streuber, P., Purvis, L., Spall, S., Naim, M., Spiegler, V., Rossini, M., Staudacher, A. P., Santos, G., Murmura, F., Bravi, L., Shang, Y., Guo, E., Tavčar, J., Demšar, I., … Samaranayake, P. (2017). Achieving Better Integration in Trauma Care Delivery in India: Insights from a Patient Survey. International Journal of Production Research, 25(1), 603–626. https://doi.org/10.2495/ISME20131171
dc.relation.referencesMatt, D. T., Dallasega, P., & Rauch, E. (2014). Synchronization of the manufacturing process and on-site installation in ETO companies. 17, 457–462. https://doi.org/10.1016/j.procir.2014.01.058
dc.relation.referencesMazzocato, P., Savage, C., Brommels, M., Aronsson, H., & Thor, J. (2010). Lean thinking in healthcare: a realist review of the literature. Quality & Safety in Health Care, 19(5), 376–382. https://doi.org/10.1136/qshc.2009.037986
dc.relation.referencesMcLachlan, G. J. (1999). Mahalanobis distance. Resonance, 4(6), 20–26.
dc.relation.referencesMeehan, J., Menzies, L., & Michaelides, R. (2017). The long shadow of public policy; Barriers to a value-based approach in healthcare procurement. Journal of Purchasing and Supply Management, 23(4), 229–241. https://doi.org/10.1016/j.pursup.2017.05.003
dc.relation.referencesMeidute-Kavaliauskiene, I., Cebeci, H. I., Ghorbani, S., & Činčikaitė, R. (2021). An Integrated Approach for Evaluating Lean Innovation Practices in the Pharmaceutical Supply Chain. Logistics, 5(4). https://doi.org/10.3390/logistics5040074
dc.relation.referencesMeijboom, B., Schmidt‐Bakx, S., & Westert, G. (2011). Supply chain management practices for improving patient‐oriented care. Supply Chain Management: An International Journal, 16(3), 166–175. https://doi.org/10.1108/13598541111127155
dc.relation.referencesMeijer, R., van Limbeek, J., Kriek, B., Ihnenfeldt, D., Vermeulen, M., & de Haan, R. (2004). Prognostic social factors in the subacute phase after a stroke for the discharge destination from the hospital stroke-unit. A systematic review of the literature. Disability and Rehabilitation, 26(4), 191–197. https://doi.org/10.1080/09638280310001636437
dc.relation.referencesMeisel, C. A., Meisel, J. D., Bermeo-Andrade, H., Carranza, L., & Zsifkovits, H. (2022). Social network analysis to understand the dynamics of global supply chains. Kybernetes. https://doi.org/10.1108/K-02-2022-0191
dc.relation.referencesMelnyk, S. A., Page, T. J., Wu, S. J., & Burns, L. A. (2012). Would you mind completing this survey: Assessing the state of survey research in supply chain management. Journal of Purchasing and Supply Management, 18(1), 35–45.
dc.relation.referencesMelodie, C. (2019). Midwives in Ontario Hospitals: The Mainstreaming of “Alternative” Childbearing. In R. P. Costa & S. L. Blair (Eds.), Childbearing and the Changing Nature of Parenthood: The Contexts, Actors, and Experiences of Having Children (Vol. 14, pp. 97–119). Emerald Publishing Limited. https://doi.org/10.1108/S1530-353520190000014005
dc.relation.referencesMiemczyk, J., Howard, M., & Johnsen, T. E. (2016). Dynamic development and execution of closed-loop supply chains: a natural resource-based view. Supply Chain Management, 21(4), 453–469. https://doi.org/10.1108/SCM-12-2014-0405
dc.relation.referencesMinhacienda, M. de H. y C. P. (2021). Informe de ejecución del Presupuesto General de la Nación Acumulado a diciembre de 2021.
dc.relation.referencesMinisterio de Educación Nacional de Colombia, PNDU, & GQSP. (2020). Químico Farmacéutico.
dc.relation.referencesMinsalud, M. de salud y protección social. (n.d.). Registro Especial de Prestadores de Servicios de Salud - REPS. https://prestadores.minsalud.gov.co/habilitacion/
dc.relation.referencesMinsalud, M. de salud y protección social. (2020). Se actualiza Plan de Beneficios en Salud con cargo a la UPC. https://doi.org/https://www.minsalud.gov.co/Paginas/Se-actualiza-Plan-de-Beneficios-en-Salud-con-cargo-a-la-UPC.aspx
dc.relation.referencesMinsalud, M. de salud y protección social. (2020). Se actualiza Plan de Beneficios en Salud con cargo a la UPC. https://doi.org/https://www.minsalud.gov.co/Paginas/Se-actualiza-Plan-de-Beneficios-en-Salud-con-cargo-a-la-UPC.aspx
dc.relation.referencesMinsalud, M. de salud y protección social. (2022). Colombia llegó al aseguramiento universal en salud al alcanzar el 99,6 %.
dc.relation.referencesMinsalud, M. de salud y protección social. (2023). EPS VIGENTES DEL REGIMEN CONTRIBUTIVO Y SUBSIDIADO – SGSSS.
dc.relation.referencesMINSALUD, M. de salud y protección social. (2022a). decreto 441 de 2022.
dc.relation.referencesMINSALUD, M. de salud y protección social. (2022b). Plan Decenal de Salud Pública 2022-2031. Plan Decenal de Salud Pública 2022-2031, 32, 1–154
dc.relation.referencesMirdad, A., & Hussain, F. K. (2022). Blockchain-Based Pharmaceutical Supply Chain: A Literature Review. In B. L. (Ed.), 16th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing, 3PGCIC-2021 (Vol. 343, pp. 106–115). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-89899-1_11
dc.relation.referencesModgil, S., & Sharma, S. (2017). Impact of hard and soft TQM on supply chain performance: Empirical investigation of pharmaceutical industry. International Journal of Productivity and Quality Management, 20(4), 513–533. https://doi.org/10.1504/IJPQM.2017.082834
dc.relation.referencesMofrad, M. Y., Baghbani, S. M. G., & Rojui, M. (2019). Analyzing factors affecting knowledge sharing and their roles on supply chain performance through integrating hospitals suppliers in Mashhad . Journal of Health Administration, 22(2), 18–27.
dc.relation.referencesMoharana, H. S., Murty, J. S., Senapati, S. K., & Khuntia, K. (2012). Coordination, collaboration and integration for supply chain management. International Journal of Interscience Management Review, 2(2), 46–50.
dc.relation.referencesMontoya, M. P. (2019). Perfil Logistico Del Sector Farmacéutico De La Ciudad De Bogotá : Una Visión Hacia el mejoramiento estrategico de las operaciones.
dc.relation.referencesMooi, E., Sarstedt, M., & Mooi-Reci, I. (2018). Market research: The process, data, and methods using Stata. Springer.
dc.relation.referencesMoons, K., Waeyenbergh, G., & Pintelon, L. (2019). Measuring the logistics performance of internal hospital supply chains – A literature study R. Omega, 82, 205–217. https://doi.org/10.1016/j.omega.2018.01.007
dc.relation.referencesMoreno Romero, J. P. (2014). Prácticas logísticas hospitalarias-análisis de siete casos bogotanos.
dc.relation.referencesMorgan, T. R., Gabler, C. B., & Manhart, P. S. (2023). Supply chain transparency: theoretical perspectives for future research. International Journal of Logistics Management. https://doi.org/10.1108/IJLM-02-2021-0115
dc.relation.referencesMoro, V. R., Anna, D., & Pelin, G. A. (2017). Public–Private Partnerships for Sustainable Healthcare in Emerging Economies. In J. Leitão, E. de M. Sarmento, & J. Aleluia (Eds.), The Emerald Handbook of Public–Private Partnerships in Developing and Emerging Economies (pp. 407–437). Emerald Publishing Limited. https://doi.org/10.1108/978-1-78714-493-420171015
dc.relation.referencesMoses, M., & Seshadri, S. (2000). Policy mechanisms for supply chain coordination. IIE Transactions (Institute of Industrial Engineers), 32(3), 245–262. https://doi.org/10.1080/07408170008963896
dc.relation.referencesMoyano-Fuentes, J., Sacristán-Díaz, M., & Martínez-Jurado, P. J. (2012). Cooperation in the supply chain and lean production adoption: Evidence from the Spanish automotive industry. International Journal of Operations and Production Management, 32(9), 1075–1096. https://doi.org/10.1108/01443571211265701
dc.relation.referencesMu’ah, Purwanti, I., Sulton, M., & Arifin, M. S. (2020). The impact of supply chain management in service quality dimension on patient perception and hospital performance: Switching cost as a moderation. International Journal of Supply Chain Management, 9(1), 615–625.
dc.relation.referencesMüller, M. (2005). Action Research in Supply Chain Management — An Introduction BT - Research Methodologies in Supply Chain Management: In Collaboration with Magnus Westhaus (H. Kotzab, S. Seuring, M. Müller, & G. Reiner (eds.); pp. 349–364). Physica-Verlag HD. https://doi.org/10.1007/3-7908-1636-1_23
dc.relation.referencesMyers, M. D. (2019). Qualitative research in business and management. Qualitative Research in Business and Management, 1–364.
dc.relation.referencesNabelsi, V., & Gagnon, S. (2017). Information technology strategy for a patient-oriented, lean, and agile integration of hospital pharmacy and medical equipment supply chains. International Journal of Production Research, 55(14), 3929–3945.
dc.relation.referencesNakano, M., Akikawa, T., & Shimazu, M. (2013). Process integration mechanisms in internal supply chains: case studies from a dynamic resource-based view. International Journal of Logistics Research and Applications, 16(4), 328–347. https://doi.org/10.1080/13675567.2013.813919
dc.relation.referencesNakyanzi, J. K., Kitutu, F. E., Oria, H., & Kamba, P. F. (2010). Expiry of medicines in supply outlets in Uganda. Bulletin of the World Health Organization, 88(2), 154–158. https://doi.org/10.2471/BLT.08.057471
dc.relation.referencesNandi, M. L., Nandi, S., Moya, H., & Kaynak, H. (2020). Blockchain technology-enabled supply chain systems and supply chain performance: a resource-based view. Supply Chain Management, 25(6), 841–862. https://doi.org/10.1108/SCM-12-2019-0444
dc.relation.referencesNanyonjo, A., Counihan, H., Siduda, S. G., Belay, K., Sebikaari, G., & Tibenderana, J. (2019). Institutionalization of integrated community case management into national health systems in low- and middle-income countries: a scoping review of the literature. Global Health Action, 12(1), 1678283. https://doi.org/10.1080/16549716.2019.1678283
dc.relation.referencesNarayana, S. A., Kumar Pati, R., & Vrat, P. (2014). Managerial research on the pharmaceutical supply chain - A critical review and some insights for future directions. Journal of Purchasing and Supply Management, 20(1), 18–40. https://doi.org/10.1016/j.pursup.2013.09.001
dc.relation.referencesNartey, E., Aboagye-Otchere, F. K., & Yaw Simpson, S. N. (2020). The contingency effects of supply chain integration on management control system design and operational performance of hospitals in Ghana. Journal of Accounting in Emerging Economies, 10(2), 207–241. https://doi.org/10.1108/JAEE-10-2018-0111
dc.relation.referencesNematollahi, M., Hosseini-Motlagh, S.-M., Ignatius, J., Goh, M., & Saghafi Nia, M. (2018). Coordinating a socially responsible pharmaceutical supply chain under periodic review replenishment policies. Journal of Cleaner Production, 172, 2876–2891. https://doi.org/10.1016/j.jclepro.2017.11.126
dc.relation.referencesNeuendorf, K. A. (2017). The content analysis guidebook. sage.
dc.relation.referencesNewbert, S. L. (2008). Value, rareness, competitive advantage, and performance: a conceptual‐level empirical investigation of the resource‐based view of the firm. Strategic Management Journal, 29(7), 745–768.
dc.relation.referencesNguyen, A. M., Johnson, C. E., Wood, S. J., & Dowling, W. L. (2021). Organizational factors affecting successful physician-system integration: A qualitative study of Washington State health executives. Health Care Management Review, 46(1), 35–43. https://doi.org/10.1097/HMR.0000000000000238
dc.relation.referencesNguyen, X., Le, T., Nguyen, A., Pham, T., & Tran, T. (2021). Supply chain risk, integration, risk resilience and firm performance in global supply chain: Evidence from Vietnam pharmaceutical industry. Uncertain Supply Chain Management, 9(4), 779–796.
dc.relation.referencesNitzl, C., Roldan, J. L., & Cepeda, G. (2016). Mediation analysis in partial least squares path modeling: Helping researchers discuss more sophisticated models. Industrial Management & Data Systems, 116(9), 1849–1864.
dc.relation.referencesNoh, J., Kim, J. S., & Sarkar, B. (2019). Two-echelon supply chain coordination with advertising-driven demand under Stackelberg game policy. European Journal of Industrial Engineering, 13(2), 213–244. https://doi.org/10.1504/EJIE.2019.098516
dc.relation.referencesNollet, J., Beaulieu, M., & Fabbe-Costes, N. (2017). The impact of performance measurement on purchasing group dynamics: The Canadian experience. Journal of Purchasing and Supply Management, 23(1), 17–27. https://doi.org/https://doi.org/10.1016/j.pursup.2016.04.001
dc.relation.referencesNunnally, B., & Bernstein, I. (1994). Psychometric Theory. New York: Oxford Univer. Press.
dc.relation.referencesO’mahony, L., McCarthy, K., O’donoghue, J., Teeling, S. P., Ward, M., & McNamara, M. (2021). Using lean six sigma to redesign the supply chain to the operating room department of a private hospital to reduce associated costs and release nursing time to care. International Journal of Environmental Research and Public Health, 18(21). https://doi.org/10.3390/ijerph182111011
dc.relation.referencesOCDE. (2020a). Abordando la pandemia de COVID-19 en Latinoamérica y el Caribe.
dc.relation.referencesOCDE. (2020b). COVID-19 en América Latina y el Caribe: panorama de las respuestas de los gobiernos a la crisis.
dc.relation.referencesOCDE. (2020c). Gasto en Salud. https://www.oecd.org/espanol/estadisticas/gastoensalud.htm
dc.relation.referencesOCDE. (2021). Panorama de la salud 2021: Indicadores de la OCDE. In OECD Publishing. https://doi.org/https://doi.org/10.1787/ae3016b9-en. No
dc.relation.referencesOlhager, J., & Prajogo, D. I. (2012). The impact of manufacturing and supply chain improvement initiatives: A survey comparing make-to-order and make-to-stock firms. Omega, 40(2), 159–165. https://doi.org/10.1016/j.omega.2011.05.001
dc.relation.referencesOliveira-Dias, D., Moyano-Fuentes, J., & Maqueira-Marín, J. M. (2022). Understanding the relationships between information technology and lean and agile supply chain strategies: a systematic literature review. Annals of Operations Research, 312(2), 973–1005. https://doi.org/10.1007/s10479-022-04520-x
dc.relation.referencesOMS. (2019). Los países están gastando más en salud, pero las personas siguen pagando demasiado de sus bolsillos. 1.
dc.relation.referencesONU. (2020). The Impact of COVID-19 on Women 9 A P R I L 2 0 2 0 The year 2020, marking the twenty-fifth anniversary of the Beijing Platform for.
dc.relation.referencesOPS,. (2017). INEQUIDADES Y BARRERAS EN LOS SISTEMAS DE SALUD.
dc.relation.referencesOPS,. (2019). ESTRATEGIA Y PLAN DE ACCIÓN SOBRE LA PROMOCIÓN DE LA SALUD EN EL CONTEXTO DE LOS OBJETIVOS DE DESARROLLO SOSTENIBLE 2019-2030. 46.
dc.relation.referencesOrtiz, N. R., & Grass, H. C. (2016). Modelo integrado de calidad Lean Healthcare ISO 9001 en el Departamento de Emergencias diseñado a partir de revisión de literatura Quality Integrated. Researchgate.Net, August.
dc.relation.referencesOzawa, S., Chen, H.-H., Lee, Y.-F. A., Higgins, C. R., & Yemeke, T. T. (2022). Characterizing Medicine Quality by Active Pharmaceutical Ingredient Levels: A Systematic Review and Meta-Analysis across Low- and Middle-Income Countries. The American Journal of Tropical Medicine and Hygiene, 106(6), 1778–1790. https://doi.org/10.4269/ajtmh.21-1123
dc.relation.referencesPackowski, J., & Francas, D. (2014). LEAN SCM - Part 1: Supply chain management for the VUCA world. Pharmazeutische Industrie, 76(1), 69–73.
dc.relation.referencesPakurár, M., Benedek, S. A., Popp, J., Magda, R., & Oláh, J. (2019). Trust or doubt: Accuracy of determining factors for supply chain performance . Polish Journal of Management Studies, 19(1), 283–297. https://doi.org/10.17512/pjms.2019.19.1.22
dc.relation.referencesPark, K. C. (2022). Exploring the effects of lean practices and supply chain disruption on performance. International Journal of Services and Operations Management, 43(1), 88–108. https://doi.org/10.1504/ijsom.2022.126247
dc.relation.referencesPark, K. W., & Dickerson, C. (2009). Can efficient supply management in the operating room save millions? Current Opinion in Anaesthesiology, 22(2), 242–248. https://doi.org/10.1097/ACO.0b013e32832798ef
dc.relation.referencesParthiban, P., Narayana, S. N. S., & Dhanalakshmi, R. (2022). Implementation of lean and green supply chain in medium scale automobile industries using AHP, VIKOR and fuzzy VIKOR. International Journal of Business Information Systems, 39(4), 532–549. https://doi.org/10.1504/IJBIS.2022.122876
dc.relation.referencesParveen, C. M., Kumar, A. R. P., & Narasimha Rao, T. V. V. L. (2011). Integration of lean and green supply chain - Impact on manufacturing firms in improving environmental efficiencies. 143–147. https://doi.org/10.1109/GTEC.2011.6167659
dc.relation.referencesPatel, P., Samantaray, H., Mansharamani, R., Vora, D., Goyal, A., & Gupta, A. (2023). Analysis of Decentralized Pharmaceutical Supply Chain: A Systematic Review. 2023 International Conference on Artificial Intelligence and Smart Communication, AISC 2023, 800–805. https://doi.org/10.1109/AISC56616.2023.10085240
dc.relation.referencesPatil, A., Shardeo, V., Dwivedi, A., Madaan, J., & Varma, N. (2021). Barriers to sustainability in humanitarian medical supply chains. Sustainable Production and Consumption, 27, 1794–1807.
dc.relation.referencesPedreira, M. L. G., & Marin, H. F. (2004). Patient safety initiatives in Brazil: a nursing perspective. International Journal of Medical Informatics, 73(7–8), 563–567. https://doi.org/10.1016/j.ijmedinf.2004.05.001
dc.relation.referencesPeteraf, M. A. (1993). The cornerstones of competitive advantage: a resource‐based view. Strategic Management Journal, 14(3), 179–191.
dc.relation.referencesPhichitchaisopa, N., & Naenna, T. (2013). Factors affecting the adoption of healthcare information technology. EXCLI Journal, 12, 413–436.
dc.relation.referencesPiotrowicz, W. D., Ryciuk, U., & Szymczak, M. (2022). Lean and agile metrics. Literature review and framework for measuring leagile supply chain. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-10-2020-0560
dc.relation.referencesPolater, A., Bektas, C., & Demirdogen, S. (2014). An investigation of government and private hospitals’ supply chain management. 2014 International Conference on Advanced Logistics and Transport (ICALT), 115–119. https://doi.org/10.1109/ICAdLT.2014.6864097
dc.relation.referencesPoulin, E. (2003). Benchmarking The HospitalLogistics Process. CMA Management, 77(March 2003), 20–23.
dc.relation.referencesPourhejazy, P., & Kwon, O. K. (2016). The New Generation of Operations Research Methods in Supply Chain Optimization : A Review. https://doi.org/10.3390/su8101033
dc.relation.referencesPrada-Ríos, S. I., Pérez-Castaño, A. M., & Rivera-Triviño, A. F. (2017). Clasificación de instituciones prestadores de servicios de salud según el sistema de cuentas de la salud de la Organización para la Cooperación y el Desarrollo Económico: El caso de Colombia. Revista Gerencia y Politicas de Salud, 16(32), 51–65. https://doi.org/10.11144/Javeriana.rgps16-32.cips
dc.relation.referencesPrætorius, T., Chaudhuri, A., Venkataramanaiah, S., Hasle, P., & Singh, A. (2018). Achieving Better Integration in Trauma Care Delivery in India: Insights from a Patient Survey. Journal of Health Management, 20(3), 234–254. https://doi.org/10.1177/0972063418779896
dc.relation.referencesPrajogo, D., Oke, A., & Olhager, J. (2016). Supply chain processes: Linking supply logistics integration, supply performance, lean processes and competitive performance. International Journal of Operations & Production Management, 36(2), 1–29. https://doi.org/http://dx.doi.org/10.1108/MRR-09-2015-0216
dc.relation.referencesPreacher, K. J., & Hayes, A. F. (2008). Assessing mediation in communication research. The Sage sourcebook of advanced data analysis methods for communication
dc.relation.referencesPunnakitikashem, P. (2014). The Impact of Lean Practices and Organizational Commitment on Operational Performance in Hospitals. Production Planning & Control, 1–10.
dc.relation.referencesPurvis, L., Spall, S., Naim, M., & Spiegler, V. (2016). Developing a resilient supply chain strategy during ‘boom’ and ‘bust.’ Production Planning and Control, 27(7–8), 579–590. https://doi.org/10.1080/09537287.2016.1165306
dc.relation.referencesQamar, A., & Hall, M. (2018). Can Lean and Agile organisations within the UK automotive supply chain be distinguished based upon contextual factors? Supply Chain Management, 23(3), 239–254. https://doi.org/10.1108/SCM-05-2017-0185
dc.relation.referencesQi, X., Bard, J. F., & Yu, G. (2004). Supply chain coordination with demand disruptions. Omega, 32(4), 301–312. https://doi.org/10.1016/j.omega.2003.12.002
dc.relation.referencesQi, Y., Huo, B., Wang, Z., & Yeung, H. Y. J. (2017). The impact of operations and supply chain strategies on integration and performance. International Journal of Production Economics, 185, 162–174. https://doi.org/10.1016/j.ijpe.2016.12.028
dc.relation.referencesQrunfleh, S., Tarafdar, M., & Ragu-Nathan, T. S. (2012). Examining alignment between supplier management practices and information systems strategy. Benchmarking, 19(4), 604–617. https://doi.org/10.1108/14635771211258034
dc.relation.referencesR Core Team. (2020). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
dc.relation.referencesRachida, P., Chao-Hsien, C., & Heng, X. (2010). RFID Privacy Issues in Healthcare: Exploring the Roles of Technologies and Regulations. Journal of Information Privacy and Security, 6(3), 3–28. https://doi.org/10.1080/15536548.2010.10855891
dc.relation.referencesRadnor, Z. (2011). Implementing Lean in Health Care: Making the link between the approach, readiness and sustainability. International Journal of Industrial Engineering and Management (IJIEM), 2(1), 1–12.
dc.relation.referencesRaji, I. O., & Rossi, T. (2019). Exploring industry 4.0 technologies as drivers of lean and agile supply chain strategies. 4th North American IEOM Conference. IEOM 2019, 292–303.
dc.relation.referencesRaji, I. O., Shevtshenko, E., Rossi, T., & Strozzi, F. (2021). Industry 4.0 technologies as enablers of lean and agile supply chain strategies: an exploratory investigation. International Journal of Logistics Management, 32(4), 1150–1189. https://doi.org/10.1108/IJLM-04-2020-0157
dc.relation.referencesRakovska, M. A., & Stratieva, S. V. (2018). A taxonomy of healthcare supply chain management practices. Supply Chain Forum: An International Journal, 19(1), 4–24. https://doi.org/10.1080/16258312.2017.1395276
dc.relation.referencesRamasco, J. J., Dorogovtsev, S. N., & Pastor-Satorras, R. (2004). Self-organization of collaboration networks. Physical Review E, 70(3), 36106.
dc.relation.referencesRamirez-Castellanos, M. P. (2022). Análisis de las características de los modelos de trazabilidad para los procesos logísticos en la industria farmacéutica en colombia.
dc.relation.referencesRasoolimanesh, S. M., Wang, M., Roldan, J. L., & Kunasekaran, P. (2021). Are we in right path for mediation analysis? Reviewing the literature and proposing robust guidelines. Journal of Hospitality and Tourism Management, 48, 395–405.
dc.relation.referencesRay, S. R. (2009). Healthcare interoperability-lessons learned from the manufacturing standards sector. 88–89. https://doi.org/10.1109/COASE.2009.5234092
dc.relation.referencesRay,S.,Danks,N.P.andCaleroValdez,A.(2022),“SEMinR:buildingandestimatingstructuralequation models”,availableat:https://CRAN.R-project.org/package5seminr The CVPAT code for the statistical software R and technical instructions for its application are availablefor download at the following webpage https://github.com/ECONshare/CVPAT/
dc.relation.referencesRaza, S. A. (2018). Supply chain coordination under a revenue-sharing contract with corporate social responsibility and partial demand information. International Journal of Production Economics, 205, 1–14. https://doi.org/10.1016/j.ijpe.2018.08.023
dc.relation.referencesRegattieri, A., Bartolini, A., Cima, M., Fanti, M. G., & Lauritano, D. (2018). An innovative procedure for introducing the lean concept into the internal drug supply chain of a hospital. TQM Journal, 30(6), 717–731. https://doi.org/10.1108/TQM-03-2018-0039
dc.relation.referencesRego, N., & Sousa, J. P. (2009). Supply Chain Coordination in Hospitals (Issue December 2014). https://doi.org/10.1007/978-3-642-04568-4
dc.relation.referencesRehman Khan, S. A., Ahmad, Z., Sheikh, A. A., & Yu, Z. (2022). Digital transformation, smart technologies, and eco-innovation are paving the way toward sustainable supply chain performance. Science Progress, 105(4). https://doi.org/10.1177/00368504221145648
dc.relation.referencesRetmi, K., Tamir, M., & Ouzayd, F. (2021). Role of Digitalization in the Hospital Supply Chain Performance Improvement: Digitalization of Hospital Pharmacy. In F. M., L. M., T. M., D. P., S. M.M., C. F., D. G. G., & P. R. (Eds.), 4th European International Conference on Industrial Engineering and Operations Management, IEOM 2021 (pp. 1667–1675). IEOM Society.
dc.relation.referencesRingle, Christian M., Wende, Sven, & Becker, J.-M. (2022). SmartPLS 4 (No. 4). Oststeinbek: SmartPLS.
dc.relation.referencesRingle, C. M., & Sarstedt, M. (2016). Gain more insight from your PLS-SEM results: The importance-performance map analysis. Industrial Management & Data Systems, 116(9), 1865–1886.
dc.relation.referencesRingle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief, 48, 109074. https://doi.org/https://doi.org/10.1016/j.dib.2023.109074
dc.relation.referencesRitchi, H., Harnowo, A., Sugianto, L. P. M., Setiono, K., & Saputro, V. (2023). Reviving the information veracity in healthcare supply chain with blockchain: a systematic review. Supply Chain Forum. https://doi.org/10.1080/16258312.2023.2199904
dc.relation.referencesRitter, T., Wilkinson, I. F., & Johnston, W. J. (2004). Managing in complex business networks. Industrial Marketing Management, 33(3), 175–183.
dc.relation.referencesRivard‐Royer H, Sylvain, L., & Martin, B. (2002). Hybrid stockless: a case study: Lessons for health‐care supply chain integration. International Journal of Operations & Production Management, 22(4), 412–424. https://doi.org/10.1108/01443570210420412
dc.relation.referencesRiyadi, S. (2020). The mediating role of technology competences, supply chain technology between supply chain management, total quality management and firms supply chain performance in Indonesian textile sector. International Journal of Supply Chain Management, 9(2), 452–459.
dc.relation.referencesRoa, Á. (2016). Mejoramiento de la logística hospitalaria en el instituto del corazón de Bucaramanga SA. Bucaramanga: Universidad.
dc.relation.referencesRoberts, N., & Thatcher, J. (2009). Conceptualizing and testing formative constructs: Tutorial and annotated example. ACM Sigmis Database: The Database for Advances in Information Systems, 40(3), 9–39.
dc.relation.referencesRoberts, R. J., Wilson, A. E., & Quezado, Z. (2017). Using Lean Six Sigma Methodology to Improve Quality of the Anesthesia Supply Chain in a Pediatric Hospital. Anesthesia and Analgesia, 124(3), 922–924. https://doi.org/10.1213/ANE.0000000000001621
dc.relation.referencesRochmah, T. N., Fakhruzzaman, M. N., & Yustiawan, T. (2020). Hospital staff acceptance toward management information systems in Indonesia. Health Policy and Technology. https://doi.org/https://doi.org/10.1016/j.hlpt.2020.07.004
dc.relation.referencesRogan, M., & Mors, M. L. (2014). A network perspective on individual-level ambidexterity in organizations. Organization Science, 25(6), 1860–1877.
dc.relation.referencesRohner, P., & Mettler, T. (2010). Hospital Supplier relationship management: cooperation, coordination, and communication. International Journal of Applied Logistics (IJAL), 1(3), 44–61.
dc.relation.referencesRojas-Cortés, R. (2020). Substandard, falsified and unregistered medicines in Latin America, 2017-2018. Rev Panam Salud Publica;44, Sept. 2020. https://doi.org/https://doi.org/10.26633/RPSP.2020.125
dc.relation.referencesRosales, C. R., Magazine, M., & Rao, U. (2015). The 2Bin system for controlling medical supplies at point-of-use. European Journal of Operational Research, 243(1), 271–280. https://doi.org/10.1016/j.ejor.2014.10.041
dc.relation.referencesRossetti, C. L., Handfield, R., & Dooley, K. J. (2011). Forces, trends, and decisions in pharmaceutical supply chain management. International Journal of Physical Distribution and Logistics Management, 41(6), 601–622. https://doi.org/10.1108/09600031111147835
dc.relation.referencesRossini, M., & Staudacher, A. P. (2016). A comparison between lean and visibility approach in supply chain planning. 13-15-Sept, 215–219.
dc.relation.referencesRozo-Rojas, I., Piraquive, F., & Cárdenas, L. (2018). Revisión de literatura de prácticas para evaluar la calidad del servicio en instituciones de salud: Hacia un enfoque de Lean Healthcare.
dc.relation.referencesRucker, D. D., & Preacher, K. J. (2019). Mediation Analysis in Consumer Psychology: Models, Methods, and Considerations. In Handbook of Research Methods in Consumer Psychology (pp. 373–384). Routledge.
dc.relation.referencesRuíz-Orjuela, E. T., Gatica-González, G., & Adarme-Jaimes, W. (2023). Revisión de literatura con análisis bibliométrico de la cadena de suministro hospitalaria. Ingeniería, 28(Suppl SE-Industrial Engineering), e18987. https://doi.org/10.14483/23448393.18987
dc.relation.referencesRuiz-Orjuela, E. T., Pimiento, N. R. O., & Dueñas, D. A. C. (2023). Interpretative structural model development for the identification of key factors for implementing Lean Healthcare. Revista Ingenierías Universidad de Medellín, 22(42 SE-Articles). https://doi.org/10.22395/rium.v22n42a1
dc.relation.referencesRuiz, E. T., & Ortiz, N. R. (2015). LEAN HEALTHCARE: UNA REVISIÓN BIBLIOGRÁFICA Y FUTURAS LÍNEAS DE INVESTIGACIÓN. Scientia et Technica, 20(4 SE-Industrial), 358–365. https://doi.org/10.22517/23447214.11181
dc.relation.referencesRuíz, E. T., Rincon, O., & Adarme, W. (2023). Hospital Supply Chain Management: Cross-Disciplinarity Opportunities in the Post-Pandemic Era and Research Agenda. Operations and Supply Chain Management: An International Journal, 16(1), 47–61.
dc.relation.referencesRungtusanatham, M., Miller, J. W., & Boyer, K. K. (2014). Theorizing, testing, and concluding for mediation in SCM research: Tutorial and procedural recommendations. Journal of Operations Management, 32(3), 99–113.
dc.relation.referencesSadia, K., & David, B. (2000). Quality standards in drug and medical information departments. Aslib Proceedings, 52(4), 134–142. https://doi.org/10.1108/EUM0000000007008
dc.relation.referencesSaeed, G., Kohler, J. C., Cuomo, R. E., & Mackey, T. K. (2022). A systematic review of digital technology and innovation and its potential to address anti-corruption, transparency, and accountability in the pharmaceutical supply chain. Expert Opinion on Drug Safety, 21(8), 1061–1088. https://doi.org/10.1080/14740338.2022.2091543
dc.relation.referencesSaha, E., Rathore, P., Parida, R., & Rana, N. P. (2022). The interplay of emerging technologies in pharmaceutical supply chain performance: An empirical investigation for the rise of Pharma 4.0. Technological Forecasting and Social Change, 181. https://doi.org/10.1016/j.techfore.2022.121768
dc.relation.referencesSalah, A. H., Ruzita, J., & Imam, G. (2013). Decentralization, perceived environmental uncertainty, managerial performance and management accounting system information in Egyptian hospitals. International Journal of Accounting and Information Management, 21(4), 314–330. https://doi.org/10.1108/IJAIM-02-2012-0005
dc.relation.referencesSaleh, M., Sahin, K., Fikriye, Y., Z., Y. M., Fatih, S., Mustafa, K., Selami, Y., & Emeka, N. (2018). Impact of health sector reforms on hospital productivity in Turkey: Malmquist index approach. International Journal of Organization Theory & Behavior, 21(2), 72–84. https://doi.org/10.1108/IJOTB-03-2018-0025
dc.relation.referencesSalema, G., & Buvik, A. (2016). The impact of buyer-supplier integration on supplier logistics performance in the hospital sector in Tanzania: The moderation effect of buyers’ cross functional integration. International Journal of Procurement Management, 9(2), 166–184. https://doi.org/10.1504/IJPM.2016.075263
dc.relation.referencesSameer, K., A., D. R., & Daewon, C. (2008). Rx for smart hospital purchasing decisions: The impact of package design within US hospital supply chain. International Journal of Physical Distribution & Logistics Management, 38(8), 601–615. https://doi.org/10.1108/09600030810915134
dc.relation.referencesSantos, G., Murmura, F., & Bravi, L. (2019). Developing a model of vendor rating to manage quality in the supply chain. International Journal of Quality and Service Sciences, 11(1), 34–52. https://doi.org/10.1108/IJQSS-06-2017-0058
dc.relation.referencesSarstedt, M., Hair Jr, J. F., Cheah, J.-H., Becker, J.-M., & Ringle, C. M. (2019). How to specify, estimate, and validate higher-order constructs in PLS-SEM. Australasian Marketing Journal, 27(3), 197–211.
dc.relation.referencesSaunders, M. N. K., & Tosey, P. (2015). Handbook of research methods on human resource development. Edward Elgar Publishing.
dc.relation.referencesSawyerr, E., & Harrison, C. (2023). Resilience in healthcare supply chains: a review of the UK’s response to the COVID19 pandemic. International Journal of Physical Distribution and Logistics Management, 53(3), 297–329. https://doi.org/10.1108/IJPDLM-09-2021-0403
dc.relation.referencesScavarda, A., Daú, G., Scavarda, L., & Korzenowski, A. (2019). A proposed healthcare supply chain management framework in the emerging economies with the sustainable lenses: The theory, the practice, and the policy. Resources, Conservation and Recycling, 141, 418–430. https://doi.org/10.1016/j.resconrec.2018.10.027
dc.relation.referencesSchoenherr, T., Ellram, L. M., & Tate, W. L. (2015). A note on the use of survey research firms to enable empirical data collection. Journal of Business Logistics, 36(3), 288–300.
dc.relation.referencesSchoenherr, T., Narasimhan, R., & Bandyopadhyay, P. (2015). The assurance of food safety in supply chains via relational networking: a social network perspective. International Journal of Operations & Production Management, 35(12), 1662–1687.
dc.relation.referencesSchuberth, F., Henseler, J., & Dijkstra, T. K. (2018). Partial least squares path modeling using ordinal categorical indicators. Quality & Quantity, 52, 9–35.
dc.relation.referencesScott, J. (2011). Social network analysis: developments, advances, and prospects. Social Network Analysis and Mining, 1, 21–26.
dc.relation.referencesSedgwick, P. (2014). Non-response bias versus response bias. Bmj, 348.
dc.relation.referencesSelvaraju, S., Ramakrishnan, S., & Testani, M. (2012). A framework for lean deployment in support areas in manufacturing. 62nd IIE Annual Conference and Expo 2012, 3006–3015.
dc.relation.referencesSenna, P., Reis, A., Marujo, L. G., Ferro de Guimarães, J. C., Severo, E. A., & dos Santos, A. C. D. S. G. (2023). The influence of supply chain risk management in healthcare supply chains performance. Production Planning and Control. https://doi.org/10.1080/09537287.2023.2182726
dc.relation.referencesSenna, P., Reis, A., Santos, I. L., Dias, A. C., & Coelho, O. (2021). A systematic literature review on supply chain risk management: is healthcare management a forsaken research field? Benchmarking, 28(3), 926–956. https://doi.org/10.1108/BIJ-05-2020-0266
dc.relation.referencesSequeiros, J., Pereira, M. T., Oliveira, M., & Ferreira, F. A. (2023). The Influence of COVID-19 on the Hospital Supply Chain – The Case of Portuguese NHS. In M. J., S. F., T. J., I. V., A. K., R. Y., M. V.K., & P. A. (Eds.), 2nd International Conference Innovation in Engineering, ICIE 2022 (pp. 305–315). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-09360-9_25
dc.relation.referencesSerna, M. D. A., Jaime, W. A., & Portilla, P. C. (2011). Vendor Managed Inventory (VMI) in micro, small and medium enterprises (MSMEs)-Plantain agricultural-chain. Revista Facultad de Ingenieria, 59, 181–192.
dc.relation.referencesSerrou, D., & Abouabdellah, A. (2017). Proposal for a multidimensional approach for supply chain performance measurement: Application to the hospital sector in Morocco . Journal of Decision Systems, 26(1), 64–92. https://doi.org/10.1080/12460125.2016.1232531
dc.relation.referencesSettanni, E., Harrington, T. S., & Srai, J. S. (2017). Pharmaceutical supply chain models: A synthesis from a systems view of operations research. Operations Research Perspectives, 4, 74–95.
dc.relation.referencesSeye, B., Richard, O., & Kingsley, A. (2020). Healthcare commodities for emergencies in Africa: review of logistics models, suggested model and research agenda. Journal of Humanitarian Logistics and Supply Chain Management, 10(3), 371–390. https://doi.org/10.1108/JHLSCM-09-2019-0064
dc.relation.referencesSeyedshohadaie, S. R., & Zhang, Y. (2004). Centralized supply chain coordination: A service oriented architecture. In A. H.R., D. O., & C. S. (Eds.), Proceedings of the International Conference on Internet Computing, IC’04 (Vol. 2, pp. 993–998).
dc.relation.referencesSeyitoğlu, F., & Ivanov, S. (2020). A conceptual framework of the service delivery system design for hospitality firms in the (post-)viral world: The role of service robots. International Journal of Hospitality Management, 91. https://doi.org/10.1016/j.ijhm.2020.102661
dc.relation.referencesSharma, P. N., Liengaard, B. D., Hair, J. F., Sarstedt, M., & Ringle, C. M. (2022). Predictive model assessment and selection in composite-based modeling using PLS-SEM: extensions and guidelines for using CVPAT. European Journal of Marketing, ahead-of-print.
dc.relation.referencesShazali, N., Habidin, N., & Ali, N. (2013). Lean Healthcare Practice and Healthcare Performance in Malaysian Healthcare Industry. International Journal of …, 3(1), 1–5.
dc.relation.referencesShen, B., Choi, T.-M., & Minner, S. (2019). A review on supply chain contracting with information considerations: information updating and information asymmetry. International Journal of Production Research, 57(15–16), 4898–4936. https://doi.org/10.1080/00207543.2018.1467062
dc.relation.referencesShi, X.-J., Zhang, Z.-X., & Zhu, F.-F. (2007). Trade credit term determination under supply chain coordination: A principal-agent model. In 3rd International Conference on Intelligent Computing, ICIC 2007: Vol. 4681 LNCS (pp. 56–67). Springer Verlag. https://doi.org/10.1007/978-3-540-74171-8_7
dc.relation.referencesShiffler, R. E. (1988). Maximum Z Scores and Outliers. The American Statistician, 42(1), 79–80. https://doi.org/10.1080/00031305.1988.10475530
dc.relation.referencesShin, H., & Tunca, T. I. (2010). Do firms invest in forecasting efficiently? the effect of competition on demand forecast investments and supply chain coordination. Operations Research, 58(6), 1592–1610. https://doi.org/10.1287/opre.1100.0876
dc.relation.referencesShmueli, G., & Koppius, O. R. (2011). Predictive analytics in information systems research. MIS Quarterly, 553–572.
dc.relation.referencesShmueli, G., Ray, S., Velasquez Estrada, J. M., & Chatla, S. B. (2016). The elephant in the room: Predictive performance of PLS models. Journal of Business Research, 69(10), 4552–4564. https://doi.org/https://doi.org/10.1016/j.jbusres.2016.03.049
dc.relation.referencesShou, Y., Zhao, X., Dai, J., & Xu, D. (2021). Matching traceability and supply chain coordination: Achieving operational innovation for superior performance. Transportation Research Part E: Logistics and Transportation Review, 145. https://doi.org/10.1016/j.tre.2020.102181
dc.relation.referencesSiddh, M. M., Soni, G., Gadekar, G., & Jain, R. (2014). Integrating lean six sigma and supply chain approach for quality and business performance. 2014 2nd International Conference on Business and Information Management, ICBIM 2014, 53–57. https://doi.org/10.1109/ICBIM.2014.6970949
dc.relation.referencesSilva, J. D. (2017). Gestión de la cadena de suministro: una revisión desde la logística y el medio ambiente. Entre Ciencia e Ingeniería, 11(22), 51–59
dc.relation.referencesSinaga, O., Nurfarina, A., Iskandar, A. D., Mozammel, S., & Rosita, A. (2019). The role of HR practices in enhancing firm supply chain performance. International Journal of Supply Chain Management, 8(2), 95–104.
dc.relation.referencesSineenart, K., & L., M. B. (2017). The adoption of vendor managed inventory for hospital pharmaceutical supply. The International Journal of Logistics Management, 28(3), 755–780. https://doi.org/10.1108/IJLM-01-2015-0010
dc.relation.referencesSingh, K. M., Rajeev, R., & Mahipal, S. (2019). Just in time elements extraction and prioritization for health care unit using decision making approach. International Journal of Quality & Reliability Management, 36(7), 1243–1263. https://doi.org/10.1108/IJQRM-08-2018-0208
dc.relation.referencesSingh, R. K., Kumar, P., & Chand, M. (2019). Evaluation of supply chain coordination index in context to Industry 4.0 environment. Benchmarking, 28(5), 1622–1637. https://doi.org/10.1108/BIJ-07-2018-0204
dc.relation.referencesSingh, R. K., Kumar, R., & Kumar, P. (2016). Strategic issues in pharmaceutical supply chains: a review. International Journal of Pharmaceutical and Healthcare Marketing, 10(3), 234–257. https://doi.org/10.1108/IJPHM-10-2015-0050
dc.relation.referencesSinghal, P., Agarwal, G., & Mittal, M. L. (2011). Supply chain risk management: Review, classification and future research directions. International Journal of Business Science and Applied Management, 6(3), 15–42.
dc.relation.referencesSireci, S. G. (1998). The construct of content validity. Social Indicators Research, 45, 83–117.
dc.relation.referencesSkipworth, H., Delbufalo, E., & Mena, C. (2020). Logistics and procurement outsourcing in the healthcare sector: A comparative analysis. European Management Journal, 38(3), 518–532. https://doi.org/https://doi.org/10.1016/j.emj.2020.04.002
dc.relation.referencesSmajgl, A., & Barreteau, O. (2014). Empirical agent-based modelling-challenges and solutions (Vol. 1). Springer.
dc.relation.referencesSnowdon, A. W., & Wright, A. (2022). Supply chain capacity to respond to the COVID-19 pandemic in Ontario: Challenges faced by a health system in transition. Healthcare Management Forum, 35(2), 53–61. https://doi.org/10.1177/08404704211057664
dc.relation.referencesSong, X., Li, J., Hou, X., & Yang, Z. (2023). The effect of repeating transactions on service supply chain performance under proprietary and agent modeS. Journal of Industrial and Management Optimization, 19(8), 5690–5723. https://doi.org/10.3934/jimo.2022191
dc.relation.referencesSoto Lopez, D., Garshasbi, M., Kabir, G., Bari, A. B. M. M., & Ali, S. M. (2022). Evaluating interaction between internal hospital supply chain performance indicators: a rough-DEMATEL-based approach. International Journal of Productivity and Performance Management, 71(6), 2087–2113. https://doi.org/10.1108/IJPPM-02-2021-0085
dc.relation.referencesSouza, A. C. de, Alexandre, N. M. C., & Guirardello, E. de B. (2017). Psychometric properties in instruments evaluation of reliability and validity. Epidemiologia e Servicos de Saude, 26, 649–659.
dc.relation.referencesSouza, L. B. De. (2009). Trends and approaches in lean healthcare. Leadership in Health Services, 22(2), 121–139. https://doi.org/10.1108/17511870910953788
dc.relation.referencesSrivastava, S., & Singh, R. K. (2021). Exploring integrated supply chain performance in healthcare: a service provider perspective. Benchmarking: An International Journal, 28(1), 106–130. https://doi.org/10.1108/BIJ-03-2020-0125
dc.relation.referencesStaudacher, A. P., & Bush, A. (2014). Analyzing the Impact of Lean Approach in Pharmaceutical Supply Chain. International Conference on Health Care Systems Engineering, HCSE 2013, 61, 253–263. https://doi.org/10.1007/978-3-319-01848-5_20
dc.relation.referencesSteiner, B., Lan, K., Unterschultz, J., & Boxall, P. (2017). Applying the resource-based view to alliance formation in specialized supply chains. Journal of Strategy and Management, 10(3), 262–292. https://doi.org/10.1108/JSMA-06-2016-0040
dc.relation.referencesStemler, S. E. (2004). A comparison of consensus, consistency, and measurement approaches to estimating interrater reliability. Practical Assessment, Research, and Evaluation, 9(1), 4.
dc.relation.referencesSubramani, M. (2004). How do suppliers benefit from information technology use in supply chain relationships? MIS Quarterly: Management Information Systems, 28(1), 45–73. https://doi.org/10.2307/25148624
dc.relation.referencesSupeekit, T, Somboonwiwat, T., & Kritchanchai, D. (2014). Causal relationship of supply chain efficiency and patient safety in measuring internal hospital supply chain performance applying DEMATEL. In K. C., C. G., & U. O. (Eds.), Joint International Symposium on “‘The Social Impacts of Developments in Information, Manufacturing and Service Systems’” 44th International Conference on Computers and Industrial Engineering, CIE 2014 and 9th International Symposium on Intelligent Manufa (pp. 988–1001). Computers and Industrial Engineering.
dc.relation.referencesSupeekit, Tuangyot, Somboonwiwat, T., & Kritchanchai, D. (2016). DEMATEL-modified ANP to evaluate internal hospital supply chain performance. Computers & Industrial Engineering, 102, 318–330. https://doi.org/https://doi.org/10.1016/j.cie.2016.07.019
dc.relation.referencesSuperintendencia de Industria y Comercio. (2020). Estudios de mercado: sector farmacéutico en Colombia. Superintendencia de Industria y Comercio, 1–91.
dc.relation.referencesSuteerachai, B., & Siraphatthada, Y. (2019). The Mediating Role of Alliance Integrated Network in the Relationship between Service Supply Chain Management Practices and the Indonesian Public Healthcare Organizational Performance. Int. J Sup. Chain. Mgt Vol, 8(4), 280.
dc.relation.referencesSyahrir, I., Suparno, & Vanany, I. (2015). Healthcare and Disaster Supply Chain: Literature Review and Future Research. Procedia Manufacturing, 4, 2–9. https://doi.org/10.1016/j.promfg.2015.11.007
dc.relation.referencesSyahrir, I., Suparno, & Vanany, I. (2019). Inventory management in healthcare supply chain under uncertainty and emergency: A literature review. Journal of Advanced Research in Dynamical and Control Systems, 11(7 Special Issue), 702–708.
dc.relation.referencesTaheri, M., Ebrahimi, S. R., & Khoshalhan, F. (2014). Game-theoretic analysis of supply chain coordination under advertising and price dependent demand. International Journal of Industrial Engineering Computations, 5(3), 395–406. https://doi.org/10.5267/j.ijiec.2014.4.003
dc.relation.referencesTamir, M, Chiheb, R., & Ouzayd, F. (2018). A decision support platform based on cross-sorting methods for the selection of modeling methods: Case of the hospital supply chain performance analysis. International Journal of Advanced Computer Science and Applications, 9(10), 475–484. https://doi.org/10.14569/IJACSA.2018.091058
dc.relation.referencesTamir, Manal, Ouzayd, F., & Chiheb, R. (2017). Literature Review and Classification of Performance Analysis Methods: Hospital Supply Chain.
dc.relation.referencesTasdemir, C., & Gazo, R. (2018). A Systematic Literature Review for Better Understanding of Lean Driven Sustainability. https://doi.org/10.3390/su10072544
dc.relation.referencesTat, R., Heydari, J., & Rabbani, M. (2020). A mathematical model for pharmaceutical supply chain coordination: Reselling medicines in an alternative market. Journal of Cleaner Production, 268. https://doi.org/10.1016/j.jclepro.2020.121897
dc.relation.referencesTavakol, M., & Dennick, R. (2011). Making sense of Cronbach’s alpha. International Journal of Medical Education, 2, 53.
dc.relation.referencesTeece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.
dc.relation.referencesThamsatitdej, P., Jongpaiboon, M., Samaranayake, P., & Laosirihongthong, T. (2016). Green supply chain management, triple bottom line, and organizational theory-prioritization with fuzzy AHP method. IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2015, 2016-Janua, 1588–1592. https://doi.org/10.1109/IEEM.2015.7385915
dc.relation.referencesThanki, S., & Thakkar, J. (2018). A quantitative framework for lean and green assessment of supply chain performance. International Journal of Productivity and Performance Management, 67(2), 366–400. https://doi.org/10.1108/IJPPM-09-2016-0215
dc.relation.referencesTian, Y., Huang, D., & Liu, D.-B. (2008). Supply chain coordination involving retailer with flexible objectives. Huadong Ligong Daxue Xuebao /Journal of East China University of Science and Technology, 34(6), 837-842+901.
dc.relation.referencesTiep, N. C., Oanh, T. T. K., Thuan, T. D., Tien, D. V, & Ha, T. V. (2020). Industry 4.0, lean management and organizational support: A case of supply chain operations . Polish Journal of Management Studies, 22(1), 583–594. https://doi.org/10.17512/pjms.2020.22.1.37
dc.relation.referencesTigga, G. A., Kannabiran, G., & Arumugam, V. (2021). Exploring relationships among IT advancement, IT assimilation, supply chain capabilities and supply chain performance. Journal of Decision Systems, 30(4), 414–438. https://doi.org/10.1080/12460125.2021.1873022
dc.relation.referencesTobail, A., Egan, P., Abo-hamad, W., & Arisha, A. (2013). Application of Lean Thinking Using Simulation Modeling in A Private Hospital Application of Lean Thinking Using Simulation Modeling in A Private Hospital. October.
dc.relation.referencesTortorella, G. L., Marodin, G., Saurin, T. A., Li, W., & Staines, J. (2022). How have lean supply chains coped with the COVID-19 pandemic? A normal accidents theory perspective. Production Planning and Control. https://doi.org/10.1080/09537287.2022.2149433
dc.relation.referencesTortorella, G. L., Miorando, R. F., Fries, C. E., & Marodin, G. A. (2017). Lean supply chain: Empirical research on practices and performance. 7th Annual Conference on Industrial Engineering and Operations Management, IEOM 2017, 108–119.
dc.relation.referencesTortorella, G. L., Miorando, R., & Marodin, G. (2017). Lean supply chain management: Empirical research on practices, contexts and performance. International Journal of Production Economics, 193, 98–112. https://doi.org/10.1016/j.ijpe.2017.07.006
dc.relation.referencesTranfield, D., Denyer, D., & Smart, P. (2003). Towards a Methodology for Developing Evidence-Informed Management Knowledge by Means of Systematic Review* Introduction: the need for an evidence- informed approach. British Journal of Management, 14, 207–222.
dc.relation.referencesTrappey, C. V, Trappey, A. J. C., Lin, G. Y. P., Liu, C. S., & Lee, W. T. (2007). Business and logistics hub integration to facilitate global supply chain linkage. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 221(7), 1221–1233. https://doi.org/10.1243/09544054JEM753
dc.relation.referencesTritos, L., Premaratne, S., & Dotun, A. (2014). Prioritizing lean supply chain management initiatives in healthcare service operations: A Fuzzy-AHP approach. 236–242. https://doi.org/10.1109/IEEM.2013.6962410
dc.relation.referencesTseng, M.-L., Ha, H. M., Lim, M. K., Wu, K.-J., & Iranmanesh, M. (2020). Sustainable supply chain management in stakeholders: supporting from sustainable supply and process management in the healthcare industry in Vietnam. International Journal of Logistics Research and Applications, 1–20. https://doi.org/10.1080/13675567.2020.1749577
dc.relation.referencesTukamuhabwa, B. R., Mutebi, H., & Ojok, B. A. (2023). Supply Chain Performance in the Wooden Furniture Industry: The Effect of Institutional Pressures and Supply Chain Integration in a Developing Country Context. Journal of African Business. https://doi.org/10.1080/15228916.2023.2215572
dc.relation.referencesTyagi, M., Kumar, P., & Kumar, D. (2015). Assessment of critical enablers for flexible supply chain performance measurement system using fuzzy DEMATEL approach. Global Journal of Flexible Systems Management, 16(2), 115–132. https://doi.org/10.1007/s40171-014-0085-6
dc.relation.referencesUpadhyay, A., Mukhuty, S., Kumari, S., Garza-Reyes, J. A., & Shukla, V. (2022). A review of lean and agile management in humanitarian supply chains: analysing the pre-disaster and post-disaster phases and future directions. Production Planning and Control, 33(6–7), 641–654. https://doi.org/10.1080/09537287.2020.1834133
dc.relation.referencesUttley, J. (2019). Power analysis, sample size, and assessment of statistical assumptions—Improving the evidential value of lighting research. Leukos, 15(2–3), 143–162.
dc.relation.referencesValbuena, L. (2021). Retos en la Cadena de Suministro Farmacéutica: Caso vacunas COVID-19 en Bogotá (Vol. 3, Issue 1).
dc.relation.referencesValentina, B.-L., & Erin, K.-R. (2014). Demographic Trends and the Healthcare System in Moldova: Reforms and Challenges. In Family and Health: Evolving Needs, Responsibilities, and Experiences (Vol. 8B, pp. 105–130). Emerald Group Publishing Limited. https://doi.org/10.1108/S1530-35352014000008B013
dc.relation.referencesvan Eck, N. J., & Waltman, L. (2010). Software survey: VOSviewer, a computer program for bibliometric mapping. Scientometrics, 84(2), 523–538. https://doi.org/10.1007/s11192-009-0146-3
dc.relation.referencesVan Landeghem, H., Bauters, K., & Limère, V. (2013). A management system for sustainable lean implementation. IIE Annual Conference and Expo 2013, 941–950. https://doi.org/10.4018/978-1-4666-5039-8.ch009
dc.relation.referencesvan Weele, A. J., & van Raaij, E. M. (2014). The future of purchasing and supply management research: About relevance and rigor. Journal of Supply Chain Management, 50(1), 56–72. https://doi.org/10.1111/jscm.12042
dc.relation.referencesVanbrabant, L., Verdonck, L., Mertens, S., & Caris, A. (2023). Improving hospital material supply chain performance by integrating decision problems: A literature review and future research directions. Computers and Industrial Engineering, 180. https://doi.org/10.1016/j.cie.2023.109235
dc.relation.referencesVargas-Pérez, J. S. (2022). Análisis de la Gestión de Abastecimiento en la Logística Hospitalaria. Revista Científica Anfibios, 5(2), 110–125.
dc.relation.referencesVaske, J. J., Beaman, J., & Sponarski, C. C. (2017). Rethinking internal consistency in Cronbach’s alpha. Leisure Sciences, 39(2), 163–173.
dc.relation.referencesVasquez, M. A. F., & Medhekar, A. (2016). Service supply chain coordination factors: The case of Saudi Arabian hospitals. International Journal of Logistics Systems and Management, 23(3), 281–298. https://doi.org/10.1504/IJLSM.2016.074712
dc.relation.referencesVelasco, N., & Amaya, C. (2012). Logística hospitalaria: Lecciones y retos para Colombia.
dc.relation.referencesVelasco, N., Moreno, J.-P., & Rebolledo, C. (2018). Logistics practices in healthcare organizations in Bogota. Academia Revista Latinoamericana de Administración, 31(3), 519–533. https://doi.org/10.1108/ARLA-08-2016-0219
dc.relation.referencesViegas, C. V, Bond, A., Vaz, C. R., & Bertolo, R. J. (2019). Reverse flows within the pharmaceutical supply chain: A classificatory review from the perspective of end-of-use and end-of-life medicines. Journal of Cleaner Production, 238. https://doi.org/10.1016/j.jclepro.2019.117719
dc.relation.referencesVikram, B., Prakash, S., & Amrik, S. (2012). Collaborative management of inventory in Australian hospital supply chains: practices and issues. Supply Chain Management: An International Journal, 17(2), 217–230. https://doi.org/10.1108/13598541211212933
dc.relation.referencesVillegas, J. C., Gutiérrez, E. V., Ferro, D. N., Muriel, A. F. A., Bayona, J. I. Y., Polanía, C. C., Guerrero, W. J., Hernández, D. B. C., López, L. U., Cadavid, L. R., Acevedo, T., Restrepo, P., Lopera, J., Manco, O. C. Ú., Sierra, Y. A. R., Díaz, H. L., Tobón, E. A. Á., Orrego, M. C. R., Quintero, A. R. U., … Jaén-Posada, J. S. (2020). Aplicaciones de investigación de operaciones en sistemas de salud en Colombia. https://doi.org/10.11144/javeriana.9789587815757
dc.relation.referencesVisconti, R. M., & Morea, D. (2020). Healthcare digitalization and pay-for-performance incentives in smart hospital project financing. International Journal of Environmental Research and Public Health, 17(7). https://doi.org/10.3390/ijerph17072318
dc.relation.referencesVishwakarma, A., Dangayach, G. S., Meena, M. L., Gupta, S., & Luthra, S. (2022). Adoption of blockchain technology enabled healthcare sustainable supply chain to improve healthcare supply chain performance. Management of Environmental Quality: An International Journal. https://doi.org/10.1108/MEQ-02-2022-0025
dc.relation.referencesVoeng, S., & Kritchanchai, D. (2019). Factors Influencing Supplier Selection for Vendor Managed Inventory Adoption in Hospitals. 2019 4th Technology Innovation Management and Engineering Science International Conference (TIMES-ICON), 1–5. https://doi.org/10.1109/TIMES-iCON47539.2019.9024418
dc.relation.referencesVoigt, G. (2011). Supply Chain Coordination in Case of Asymmetric Information: Information Sharing and Contracting in a Just-in-Time environment. In V. G. (Ed.), Lecture Notes in Economics and Mathematical Systems (Vol. 650). https://doi.org/10.1007/978-3-642-20132-5
dc.relation.referencesVoigt, G., & Inderfurth, K. (2012). Supply chain coordination with information sharing in the presence of trust and trustworthiness. IIE Transactions (Institute of Industrial Engineers), 44(8), 637–654. https://doi.org/10.1080/0740817X.2011.635179
dc.relation.referencesVolland, J., Fügener, A., Schoenfelder, J., & Brunner, J. O. (2017). Material logistics in hospitals: A literature review. Omega, 69, 82–101. https://doi.org/https://doi.org/10.1016/j.omega.2016.08.004
dc.relation.referencesVosooghidizaji, M., Taghipour, A., & Canel-Depitre, B. (2020). Supply chain coordination under information asymmetry: a review. International Journal of Production Research, 58(6), 1805–1834. https://doi.org/10.1080/00207543.2019.1685702
dc.relation.referencesWang, J., Zhao, R., & Tang, W. (2009). Supply Chain Coordination by Single-Period and Long-Term Contracts with Fuzzy Market Demand. Tsinghua Science and Technology, 14(2), 218–224. https://doi.org/10.1016/S1007-0214(09)70033-1
dc.relation.referencesWang, S, Li, J., Song, J., Li, Y., & Sherk, M. (2018). Institutional pressures and product modularity: do supply chain coordination and functional coordination matter? International Journal of Production Research, 56(20), 6644–6657. https://doi.org/10.1080/00207543.2018.1444807
dc.relation.referencesWang, Siqi, Cheah, J.-H., Wong, C. Y., & Ramayah, T. (2023). Progress in partial least squares structural equation modeling use in logistics and supply chain management in the last decade: a structured literature review. International Journal of Physical Distribution & Logistics Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/IJPDLM-06-2023-0200
dc.relation.referencesWang, Y., & Gerchak, Y. (2001). Supply Chain Coordination when Demand Is Shelf-Space Dependent. Manufacturing and Service Operations Management, 3(1), 82–87. https://doi.org/10.1287/msom.3.1.82.9998
dc.relation.referencesWang, Y., Reivan Ortiz, G. G., Dextre-Martinez, W., & Zhang, L. (2022). Green Supply Chain Coordination During the COVID-19 Pandemic Based on Consignment Contract. Frontiers in Environmental Science, 10. https://doi.org/10.3389/fenvs.2022.899007
dc.relation.referencesWankhade, N., & Kundu, G. K. (2018). Supply chain performance management: A structured literature review. International Journal of Value Chain Management, 9(3), 209–240. https://doi.org/10.1504/ijvcm.2018.093885
dc.relation.referencesWernerfelt, B. (1984). A resource‐based view of the firm. Strategic Management Journal, 5(2), 171–180.
dc.relation.referencesWichmann, B. K., & Kaufmann, L. (2016). Social network analysis in supply chain management research: Social network analysis. International Journal of Physical Distribution and Logistics Management, 46(8), 740–762. https://doi.org/10.1108/IJPDLM-05-2015-0122
dc.relation.referencesWieser, P. (2011). From Health Logistics to Health Supply Chain Management. Supply Chain Forum: An International Journal, 12(1), 4–13. https://doi.org/10.1080/16258312.2011.11517249
dc.relation.referencesWinter, S. G. (2003). Understanding dynamic capabilities. Strategic Management Journal, 24(10), 991–995.
dc.relation.referencesWong, W.-P., & Soh, K.-L. (2019). Review of Pharmaceutical Sea Freight and Malaysian Third-Party Logistics Service Providers—A Supply Chain Perspective. In Lecture Notes in Logistics (pp. 125–146). Springer Science and Business Media B.V. https://doi.org/10.1007/978-3-030-15398-4_8
dc.relation.referencesWu, J., Belinkov, Y., Sajjad, H., Durrani, N., Dalvi, F., & Glass, J. (2020). Similarity Analysis of Contextual Word Representation Models. https://doi.org/10.18653/v1/2020.acl-main.422
dc.relation.referencesWu, Y.-C., Goh, M., Yuan, C.-H., & Huang, S.-H. (2017). Logistics management research collaboration in Asia. International Journal of Logistics Management, 28(1), 206–223. https://doi.org/10.1108/IJLM-09-2013-0104
dc.relation.referencesXu, L., & Beamon, B. M. (2006). Supply chain coordination and cooperation mechanisms: An attribute-based approach. Journal of Supply Chain Management, 42(1), 4–12. https://doi.org/10.1111/j.1745-493X.2006.04201002.x
dc.relation.referencesYadav, A. K., & Kumar, D. (2022). A fuzzy decision framework of lean-agile-green (LAG) practices for sustainable vaccine supply chain. International Journal of Productivity and Performance Management. https://doi.org/10.1108/IJPPM-10-2021-0590
dc.relation.referencesYadav, P. (2015). Health Product Supply Chains in Developing Countries: Diagnosis of the Root Causes of Underperformance and an Agenda for Reform. Health Systems & Reform, 1(2), 142–154. https://doi.org/10.4161/23288604.2014.968005
dc.relation.referencesYan, D. (2011). Identify Improvement Areas in Supply Chain Coordination A exploratory methodology development. 1–99.
dc.relation.referencesYan, R., Wang, X., & Li, J. (2013). Supply chain coordination under service competition. WIT Transactions on Information and Communication Technologies, 46 VOLUME, 2289–2294. https://doi.org/10.2495/ISME20133083
dc.relation.referencesYanamandra, R. (2018). Development of an integrated healthcare supply chain model. Supply Chain Forum: An International Journal, 00(00), 1–11. https://doi.org/10.1080/16258312.2018.1475823
dc.relation.referencesYang, B., Hu, M.-H., Zhao, G., & Yang, Y.-B. (2019). Structural and state controllability study of the supply chain network based on the complex network theory. Journal of Internet Technology, 20(6), 1879–1887. https://doi.org/10.3966/160792642019102006018
dc.relation.referencesYang, Y., Jia, F., & Xu, Z. (2019). Towards an integrated conceptual model of supply chain learning: an extended resource-based view. Supply Chain Management, 24(2), 189–214. https://doi.org/10.1108/SCM-11-2017-0359
dc.relation.referencesYao, Y., Evers, P. T., & Dresner, M. E. (2007). Supply chain integration in vendor-managed inventory. Decision Support Systems, 43(2), 663–674. https://doi.org/10.1016/j.dss.2005.05.021
dc.relation.referencesYap, L. L., & Tan, C. L. (2012). The effect of service supply chain management practices on the public healthcare organizational performance. International Journal of Business and Social Science, 3(16).
dc.relation.referencesYing, X., Liz, B., Tom, C., Dingchang, Z., & James, A. C. (2016). An exploratory study of reverse exchange systems used for medical devices in the UK National Health Service (NHS). Supply Chain Management: An International Journal, 21(2), 194–215. https://doi.org/10.1108/SCM-07-2015-0278
dc.relation.referencesYousefi, N., & Alibabaei, A. (2015). Information flow in the pharmaceutical supply chain. Iranian Journal of Pharmaceutical Research : IJPR, 14(4), 1299–1303.
dc.relation.referencesYu, W., Chavez, R., Jacobs, M. A., & Feng, M. (2018). Data-driven supply chain capabilities and performance: A resource-based view. Transportation Research Part E: Logistics and Transportation Review, 114, 371–385. https://doi.org/10.1016/j.tre.2017.04.002
dc.relation.referencesZabeeulla, & Varalakshmi, S. (2022). An Effective Review of The Problems and Opportunities of The Supply Chain for Pharmaceuticals. In D. R.K., S. A.Kr., K. G., & B. S. (Eds.), 11th International Conference on System Modeling and Advancement in Research Trends, SMART 2022 (pp. 799–804). Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/SMART55829.2022.10047275
dc.relation.referencesZajac, M., & Schwede, C. (2015). Cross-process production control by camera-based quality management inside a logistic assistance system. In Logistics and Supply Chain Innovation: Bridging the Gap between Theory and Practice (pp. 353–362). Springer International Publishing. https://doi.org/10.1007/978-3-319-22288-2_21
dc.relation.referencesZamora Aguas, J. P., Adarme Jaimes, W., & Vanegas Escamilla, E. P. (2016). Coordinación En Redes De Suministro De Medicamentos. Caso Aplicado Al Sector Salud Colombiano. Revista EIA, 13(25), 171–183. https://doi.org/10.24050/reia.v13i25.1025
dc.relation.referencesZepeda, B., Tlapa, D., Báez, Y., Romero, J., & Maldonado, A. (2015). Factores y Herramientas Importantes en Lean Healthcare. Academia Journals.
dc.relation.referencesZhang, M., Ying, S., & Xu, X. (2023). Dual-Channel Supply Chain Coordination with Loss-Averse Consumers. Discrete Dynamics in Nature and Society, 2023. https://doi.org/10.1155/2023/3172590
dc.relation.referencesZhang, T. L. (2011). Supply chain coordination under return policy with asymmetric information about cost of reverse logistics operations. Journal of Computers, 6(9), 1886–1890. https://doi.org/10.4304/jcp.6.9.1886-1890
dc.relation.referencesZhang, X., Song, H., Huang, G. Q., & Chen, W. (2010). Game-theoretic approach to tourism supply chain coordination under demand uncertainty for package holidays. Tourism Analysis, 15(3), 287–298. https://doi.org/10.3727/108354210X12801550666024
dc.relation.referencesZhang, Y., Hou, Z., Yang, F., Yang, M. M., & Wang, Z. (2021). Discovering the evolution of resource-based theory: Science mapping based on bibliometric analysis. Journal of Business Research, 137, 500–516.
dc.relation.referencesZhao, D., He, L., & Wang, Y. (2007). The framework of supply chain coordination mechanism choice: A view of transaction costs. 2007 IEEE International Conference on Automation and Logistics, ICAL 2007, 2544–2549. https://doi.org/10.1109/ICAL.2007.4339008
dc.relation.referencesZhao, L., & Jung, H.-B. (2018). The winning personality: Impact of founders’ personality traits and firms’ network relationships on Chinese apparel new venture performance. International Journal of Entrepreneurial Behaviour and Research, 24(2), 553–573. https://doi.org/10.1108/IJEBR-09-2016-0281
dc.relation.referencesZhao, X.-X., & Ning, L.-Y. (2009). Study of the lean logistics operating model based on RFID and its application in auto industry. https://doi.org/10.1109/CNMT.2009.5374587
dc.relation.referencesZiat, A., Sefiani, N., Reklaoui, K., & Azzouzi, H. (2020). A generic framework for hospital supply chain. International Journal of Healthcare Management, 13(sup1), 488–495. https://doi.org/10.1080/20479700.2019.1603415
dc.relation.referencesZidel, T. G. (2006). A Lean toolbox: Using Lean Principles and Techniques in Healthcare. Journal for Healthare Quality, 28(1), W1-7-W1-15.
dc.relation.referencesZikmund, W. G., Babin, B. J., Carr, J. C., & Griffin, M. (2013). Business research methods. Cengage learning.
dc.relation.referencesZuhair, A. R., & Bahjat, A. A. (2019). Lean management and operational performance in health care: Implications for business performance in private hospitals. International Journal of Productivity and Performance Management, 69(1), 1–21. https://doi.org/10.1108/IJPPM-09-2018-0342
dc.relation.referencesZwaida, T. A., Beauregard, Y., & Elarroudi, K. (2019). Comprehensive Literature Review about Drug Shortages in the Canadian Hospital’s Pharmacy Supply Chain. 2019 International Conference on Engineering, Science, and Industrial Applications, ICESI 2019. https://doi.org/10.1109/ICESI.2019.8863026
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.decsEquipos y Suministros de Hospitales
dc.subject.decsEquipment and Supplies, Hospital
dc.subject.proposalCadena de suministro hospitalaria
dc.subject.proposalCoordinación
dc.subject.proposalDeterminantes
dc.subject.proposalDesempeño
dc.subject.proposalGestión de cadenas de suministro
dc.subject.proposalHospital supply chain
dc.subject.proposalCoordination
dc.subject.proposalDeterminants
dc.subject.proposalPerformance
dc.subject.proposalSupply chain management
dc.title.translatedDeterminants of actor coordination and their impact on hospital supply chain performance in a lean environment
dc.type.coarhttp://purl.org/coar/resource_type/c_db06
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
dc.type.redcolhttp://purl.org/redcol/resource_type/TD
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2
dcterms.audience.professionaldevelopmentInvestigadores
dcterms.audience.professionaldevelopmentPúblico general
dc.subject.wikidataLean manufacturing
dc.subject.wikidataLean manufacturing
dc.subject.wikidataAdministración de la cadena de suministro
dc.subject.wikidatasupply chain management


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