En 7 día(s), 2 hora(s) y 15 minuto(s): El Repositorio Institucional UNAL informa a la comunidad universitaria que, con motivo del periodo de vacaciones colectivas, el servicio de publicación estará suspendido: Periodo de cierre: Del 20 de diciembre al 18 de enero de 2026. Sobre los depósitos: Durante este tiempo, los usuarios podrán continuar realizando el depósito respectivo de sus trabajos en la plataforma. Reanudación: Una vez reiniciadas las actividades administrativas, los documentos serán revisados y publicados en orden de llegada.

Factores de preparación para la adopción de Academic Analytics (AA) en un contexto universitario : estudio de caso Facultad de Ciencias Económicas de la Universidad Nacional de Colombia

dc.contributor.advisorDíaz Pinzón, Beatriz Helenaspa
dc.contributor.authorEsteban Pérez, Edwar Leonardospa
dc.contributor.researchgroupGrupo de Investigación en Sistemas y Tecnologías de la Información y de la Comunicación en las Organizaciones - GISTICspa
dc.date.accessioned2020-06-11T17:48:26Zspa
dc.date.available2020-06-11T17:48:26Zspa
dc.date.issued2020-05-03spa
dc.description.abstractLas Instituciones de Educación no son ajenas a los beneficios de la adopción de nuevas Tecnologías de la Información, no obstante, al igual que otro tipo de organizaciones pueden tener dinámicas particulares que se presentan como facilitadores o barreras en la adopción de estas. En este trabajo se estudian las relaciones entre los factores de preparación para la adopción de Academic Analytics en un contexto universitario, se identifican los factores, se establecen sus relaciones y se propone un curso de acción que la organización podría seguir para facilitar la adopción de estas tecnologías.spa
dc.description.abstractEducational Institutions are not excluded from the benefits of adopting new Information Technologies, however, like other types of organizations, they may have particular dynamics that present themselves as facilitators or barriers in their adoption. In this work, the relationships between the factors of preparation for the adoption of Academic Analytics in a university context are studied, the factors are identified, their relationships are established and a course of action is proposed that the organization could follow to facilitate the adoption of these technologies.spa
dc.description.degreelevelMaestríaspa
dc.format.extent109spa
dc.format.mimetypeapplication/pdfspa
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/77645
dc.language.isospaspa
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotáspa
dc.publisher.departmentEscuela de Administración y Contaduría Públicaspa
dc.publisher.programBogotá - Ciencias Económicas - Maestría en Administraciónspa
dc.relation.referencesAdamala, S., & Cidrin, L. (2011). Key Success Factors in Business Intelligence. Journal of Intelligence Studies in Business, 1. https://doi.org/10.37380/jisib.v1i1.19spa
dc.relation.referencesAhmadi, S., Papageorgiou, E., Yeh, C.-H., & Martin, R. (2015). Managing readiness-relevant activities for the organizational dimension of ERP implementation. Computers in Industry, 68, 89–104. https://doi.org/https://doi.org/10.1016/j.compind.2014.12.009spa
dc.relation.referencesAin, N., Vaia, G., DeLone, W. H., & Waheed, M. (2019). Two decades of research on business intelligence system adoption, utilization and success – A systematic literature review. Decision Support Systems, 125, 113113. https://doi.org/https://doi.org/10.1016/j.dss.2019.113113spa
dc.relation.referencesAin Zulkefli, N., Miskon, S., Hashim, H., Alinda Alias, R., Syed Abdullah, N., Ahmad, N., … Aizaini Maarof, M. (2015). A business intelligence framework for higher education institutions, 10(23). Retrieved from www.arpnjournals.comspa
dc.relation.referencesAli, M. S., & Miah, S. J. (2018). Identifying organizational factors for successful business intelligence implementation. International Journal of Business Intelligence Research, 9(2), 47–63. https://doi.org/10.4018/IJBIR.2018070103spa
dc.relation.referencesAlmosallam, E. A., & Ouertani, H. C. (2014). Learning analytics: Definitions, applications and related fields a study for future challenges. In Lecture Notes in Electrical Engineering (Vol. 285 LNEE, pp. 721–730). Springer, Singapore. https://doi.org/10.1007/978-981-4585-18-7_81spa
dc.relation.referencesAnjariny, A H, & Zeki, A. M. (2013). The Important Dimensions for Assessing Organizations’ Readiness toward Business Intelligence Systems from the Perspective of Malaysian Organization. In 2013 International Conference on Advanced Computer Science Applications and Technologies (pp. 544–548). https://doi.org/10.1109/ACSAT.2013.113spa
dc.relation.referencesAnjariny, Ahmed H., & Zeki, A. M. (2011). Development of model for assessing organizations’ readiness toward successful Business Intelligence systems. In 2011 International Conference on Research and Innovation in Information Systems, ICRIIS’11. https://doi.org/10.1109/ICRIIS.2011.6125712spa
dc.relation.referencesAportela Rodríguez, I. M., & Gómez, C. G. (2015). La información como recurso estratégico en las empresas de base tecnológica. Revista General de Información y Documentación, 25(2), 265–285. https://doi.org/10.5209/rev_RGID.2015.v25.n2.51238spa
dc.relation.referencesAppelbaum, D., Kogan, A., Vasarhelyi, M., & Yan, Z. (2017). Impact of business analytics and enterprise systems on managerial accounting. International Journal of Accounting Information Systems, 25, 29–44. https://doi.org/10.1016/J.ACCINF.2017.03.003spa
dc.relation.referencesAppelbaum, S., St-Pierre, N., & Glavas, W. (1998). Strategic organizational change: The role of leadership, learning, motivation and productivity. Management Decision, 36, 289–301. https://doi.org/10.1108/00251749810220496spa
dc.relation.referencesApraxine, D., & Stylianou, E. (2017, April). Business intelligence in a higher educational institution: The case of University of Nicosia. 2017 IEEE Global Engineering Education Conference (EDUCON). IEEE. https://doi.org/10.1109/EDUCON.2017.7943085spa
dc.relation.referencesAriyarathna, K., & Peter, S. (2019). Business analytics maturity models: A systematic review of literature. In 9th International Conference on Industrial Engineering and Operations Management, IEOM 2019 (Vol. 2019, pp. 1762–1767). Department of Industrial Management, University of Kelaniya, Sri Lanka: IEOM Society. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067235056&partnerID=40&md5=c2bb0b7dbde40c1dc2365cb621c9b5d6spa
dc.relation.referencesAziz, K. A., & Yusof, M. M. (2012). Measuring organizational readiness in information systems adoption. 18th Americas Conference on Information Systems 2012, AMCIS 2012, 4, 2742–2749.spa
dc.relation.referencesBach, M. P., Jaklič, J., & Vugec, D. S. (2018). Understanding impact of business intelligence to organizational performance using cluster analysis: Does culture matter? International Journal of Information Systems and Project Management, 6(3), 63–86. https://doi.org/10.12821/ijispm060304spa
dc.relation.referencesBarneveld, A. Van, Arnold, K. E., & Campbell, J. P. (2012). Analytics in Higher Education : Establishing a Common Language. Educause Learning Initiative, 1(January), 1–11.spa
dc.relation.referencesBatra, D. (2018). Agile values or plan-driven aspects: Which factor contributes more toward the success of data warehousing, business intelligence, and analytics project development? Journal of Systems and Software, 146, 249–262. https://doi.org/https://doi.org/10.1016/j.jss.2018.09.081spa
dc.relation.referencesBertsimas, D., & Kallus, N. (2014). From Predictive to Prescriptive Analytics. https://doi.org/10.1287/xxxx.0000.0000spa
dc.relation.referencesBradford, M., & Florin, J. (2003). Examining the Role of Innovation Diffusion Factors on the Implementation Success of Enterprise Resource Planning Systems. International Journal of Accounting Information Systems, 4, 205–225. https://doi.org/10.1016/S1467-0895(03)00026-5spa
dc.relation.referencesBuchely, G. (2011). Diseño y desarrollo de un modelo de apoyo en gestión del conocimiento. Universidad Nacional de Colombia. Retrieved from http://bdigital.unal.edu.co/4793/1/299745.2011.pdfspa
dc.relation.referencesCalzada, L., & Abreu, J. L. (2009). El impacto de las herramientas de inteligencia de negocios en la toma de decisiones de los ejecutivos. International Journal of Good Conscience, 4(2), 16–52. Retrieved from http://www.spentamexico.org/v4-n2/4(2) 16-52.pdfspa
dc.relation.referencesCampbell, J., DeBlois, P., & Oblinger, D. (2007). Academic Analytics: A New Tool for a New Era. EDUCAUSE Review, 42.spa
dc.relation.referencesChacon, M. J., Toledano, D., & Oliveira, A. (2014). La Inteligencia Institucional y cadena de valor de la información: el ejemplo de la Universidad Federal de Rio Grande do Norte - Brasil., 2(3), 88–103. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=99884785&lang=es&site=ehost-livespa
dc.relation.referencesChang, Y. W., Hsu, P. Y., & Wu, Z. Y. (2015). Exploring managers’ intention to use business intelligence: The role of motivations. Behaviour and Information Technology. https://doi.org/10.1080/0144929X.2014.968208spa
dc.relation.referencesChatti, M. A., Dyckhoff, A. L., Schroeder, U., & Thüs, H. (2012). A reference model for learning analytics. International Journal of Technology Enhanced Learning, 4(5/6), 318. https://doi.org/10.1504/IJTEL.2012.051815spa
dc.relation.referencesChuah, M.-H., & Wong, K.-L. (2012). Construct an Enterprise Business Intelligence Maturity Model (EBI2M) Using an Integration Approach: A Conceptual Framework. https://doi.org/10.5772/35457spa
dc.relation.referencesCooper, R. B., & Zmud, R. W. (1990). Information Technology Implementation Research: A Technological Diffusion Approach. Management Science, 36(2), 123–139. https://doi.org/10.1287/mnsc.36.2.123spa
dc.relation.referencesCreswell, J. W. (2012). Educational research: planning. Conducting, and Evaluating.spa
dc.relation.referencesDarab, B., & Montazer, G. A. (2011). An eclectic model for assessing e-learning readiness in the Iranian universities. Computers and Education. https://doi.org/10.1016/j.compedu.2010.11.002spa
dc.relation.referencesDwivedi, Y., Williams, M., Lal, B., & Schwarz, A. (2008). Profiling Adoption, Acceptance and Diffusion Research in the Information Systems Discipline.spa
dc.relation.referencesEckerson, W. W. (2003). Smart companies in the 21st century: the secrets of creating successful business intelligence solutions. TDWI Report Series.spa
dc.relation.referencesEder, F., & Koch, S. (2018). Critical success factors for the implementation of business intelligence systems. International Journal of Business Intelligence Research, 9(2), 27–46. https://doi.org/10.4018/IJBIR.2018070102spa
dc.relation.referencesFadhil, A., Yusof, A. F., Miskon, S., Ahmad, N., Alias, R. A., Hashim, H., … Maarof, M. A. (2015). Implementation issues affecting the business intelligence adoption in public university. ARPN Journal of Engineering and Applied Sciences, 10(23).spa
dc.relation.referencesFerguson, R. (2012). Learning analytics: drivers, developments and challenges. International Journal of Technology Enhanced Learning Int. J. Technology Enhanced Learning Int. J. Technology Enhanced Learning, 4(x), 304–317. https://doi.org/10.1504/IJTEL.2012.051816spa
dc.relation.referencesGarcía, J. H. M. (2010). La inteligencia de negocios como herramienta para la toma de decisiones estratégicas en las empresas: análisis de su aplicabilidad en el contexto corporativo colombiano / Business intelligence as a tool for strategic decision making in business: analysis. Universidad Nacional de Colombia. Retrieved from http://bdigital.unal.edu.co/3098/spa
dc.relation.referencesGarcía, P., Silva, J., Rojas, Y., & Hernández, C. (2009). SISTEMADE INFORMACIÓN FINANCIERO QUIPU.spa
dc.relation.referencesGonzález, P. G., & Bermúdez, T. (2010). Fuentes de información, indicadores y herramientas más usadas por gerentes de Mipyme en Cali, Colombia. Contaduría y Administración, 0(232). https://doi.org/10.22201/fca.24488410e.2010.235spa
dc.relation.referencesGuitart, I., & Conesa, J. (2016). Creating University Analytical Information Systems: A Grand Challenge for Information Systems Research. In Formative Assessment, Learning Data Analytics and Gamification: In ICT Education (pp. 167–186). Elsevier. https://doi.org/10.1016/B978-0-12-803637-2.00009-9spa
dc.relation.referencesGuitart, Isabel, & Conesa, J. (2015). Analytic Information Systems in the Context of Higher Education: Expectations, Reality and Trends. In Proceedings - 2015 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2015 (pp. 294–300). IEEE. https://doi.org/10.1109/INCoS.2015.71spa
dc.relation.referencesGuitart, Isabel, Conesa, J., & Casas, J. (2016). A preliminary study about the analytic maturity of educational organizations. In Proceedings - 2016 International Conference on Intelligent Networking and Collaborative Systems, IEEE INCoS 2016. https://doi.org/10.1109/INCoS.2016.53spa
dc.relation.referencesHalaweh, M., Fidler, C., & McRobb, S. (2008). Integrating the Grounded Theory Method and Case Study Research Methodology Within IS Research: A Possible “Road Map”. ICIS 2008 Proceedings - Twenty Ninth International Conference on Information Systems.spa
dc.relation.referencesHameed, M. A., Counsell, S., & Swift, S. (2012). A conceptual model for the process of IT innovation adoption in organizations. Journal of Engineering and Technology Management, 29(3), 358–390. https://doi.org/https://doi.org/10.1016/j.jengtecman.2012.03.007spa
dc.relation.referencesHerrera Camacho, C. A. (2016). Modelo de gestión del conocimiento en área de atención de usuarios de un organismo público. Knowledge Management in Customer Service Department of a Public Institution., 47(3), 27–35. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=lih&AN=124572040&lang=es&site=ehost-livespa
dc.relation.referencesJahantigh, F. F., Habibi, A., & Sarafrazi, A. (2019). A conceptual framework for business intelligence critical success factors. International Journal of Business Information Systems, 30(1), 109–123. https://doi.org/10.1504/IJBIS.2019.097058spa
dc.relation.referencesKallio, H., Pietilä, A.-M., Johnson, M., & Kangasniemi, M. (2016). Systematic methodological review: developing a framework for a qualitative semi-structured interview guide. Journal of Advanced Nursing, 72(12), 2954–2965. https://doi.org/10.1111/jan.13031spa
dc.relation.referencesKeramati, A., Afshari-Mofrad, M., & Kamrani, A. (2011). The role of readiness factors in E-learning outcomes: An empirical study. Computers & Education, 57(3), 1919–1929. https://doi.org/https://doi.org/10.1016/j.compedu.2011.04.005spa
dc.relation.referencesKwahk, K.-Y., & Lee, J.-N. (2008). The role of readiness for change in ERP implementation: Theoretical bases and empirical validation. Information & Management, 45(7), 474–481. https://doi.org/https://doi.org/10.1016/j.im.2008.07.002spa
dc.relation.referencesLahrmann, G., Marx, F., Winter, R., & Wortmann, F. (2011). Business intelligence maturity models: an overview. Proceedings of the Annual Hawaii International Conference on System Sciences. https://doi.org/10.1109/HICSS.2011.90spa
dc.relation.referencesLee, I. (2017). Big data: Dimensions, evolution, impacts, and challenges. Business Horizons, 60(3), 293–303. https://doi.org/https://doi.org/10.1016/j.bushor.2017.01.004spa
dc.relation.referencesLocke, K. (2000). Grounded theory in management research. Sage. Retrieved from https://pdfs.semanticscholar.org/f2ac/ee2ec29c549a078f95f3a032332e5bc3f68e.pdfspa
dc.relation.referencesLucas Jr., H. C., Swanson, E. B., & Zmud, R. W. (2007). Implementation, innovation, and related themes over the years in information systems research. Journal of the Association for Information Systems, 8(4), 206–210. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-37249052503&partnerID=40&md5=05f41d493988919eda210b9d45e20847spa
dc.relation.referencesMagaireah, A. I., Sulaiman, H., & Ali, N. (2017). Theoretical framework of critical success factors (CSFs) for Business Intelligence (BI) System. In 8th International Conference on Information Technology, ICIT 2017 (pp. 455–463). Information Systems Department, College of Information Technology, Universiti Tenaga Nasional (UNITEN), Selangor, Malaysia: Institute of Electrical and Electronics Engineers Inc. https://doi.org/10.1109/ICITECH.2017.8080042spa
dc.relation.referencesMatsebula, F., & Mnkandla, E. (2016). Information systems innovation adoption in higher education: Big data and analytics. In 2016 International Conference on Advances in Computing and Communication Engineering (ICACCE) (pp. 326–329). https://doi.org/10.1109/ICACCE.2016.8073769spa
dc.relation.referencesMcNaughton, M., Rao, L., & Mansingh, G. (2017a). An agile approach for academic analytics: a case study. Journal of Enterprise Information Management, 30(5), 701–722. https://doi.org/10.1108/JEIM-06-2016-0121spa
dc.relation.referencesMcNaughton, M., Rao, L., & Mansingh, G. (2017b). An agile approach for academic analytics: a case study. Journal of Enterprise Information Management, 30(5), 701–722. https://doi.org/10.1108/JEIM-06-2016-0121spa
dc.relation.referencesMessatfa, H., Reyes, L., & Schroeck, M. (2011). The power of analytics for public sector: Building analytics competency to accelerate outcomes. IBM Institute for Business Value. March.spa
dc.relation.referencesMiles, M. B., Huberman, A. M., & Saldaña, J. (2014). Qualitative data analysis: A methods sourcebook. 3rd. Ed: Thousand Oaks, CA: Sage.spa
dc.relation.referencesMingers, J. (2006). A critique of statistical modelling in management science from a critical realist perspective: Its role within multimethodology. Journal of the Operational Research Society, 57(2), 202–219. https://doi.org/10.1057/palgrave.jors.2601980spa
dc.relation.referencesMingers, J., & Brocklesby, J. (1997). Multimethodology: Towards a framework for mixing methodologies. Omega, 25(5), 489–509. https://doi.org/10.1016/S0305-0483(97)00018-2spa
dc.relation.referencesMontoya, M. E. (2015). Propuesta de acción para disminuir la resistencia al uso debido al cambio de sistema de información. Estudio de caso SIIGAF - HERMES, Facultad de Ciencias Económicas, Universidad Nacional de Colombia. Universidad Nacional de Colombia - Sede Bogotá. Retrieved from http://bdigital.unal.edu.co/52549/spa
dc.relation.referencesMoore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192–222. https://doi.org/10.1287/isre.2.3.192spa
dc.relation.referencesMuller, L., & Hart, M. (2016). Updating business intelligence and analytics maturity models for new developments. (D. B., L. S., & O. F., Eds.), 2nd International Conference on Decision Support System Technology, ICDSST 2016. Department of Information Systems, University of Cape Town, Cape Town, South Africa: Springer Verlag. https://doi.org/10.1007/978-3-319-32877-5_11spa
dc.relation.referencesMusa, S., Ali, N. B. M., Miskon, S. B., & Giro, M. A. (2019). Success factors for business intelligence systems implementation in higher education institutions – A review. Advances in Intelligent Systems and Computing (Vol. 843). Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_31spa
dc.relation.referencesMutula, S. M., & van Brakel, P. (2006). An evaluation of e-readiness assessment tools with respect to information access: Towards an integrated information rich tool. International Journal of Information Management. https://doi.org/10.1016/j.ijinfomgt.2006.02.004spa
dc.relation.referencesNjenga, J. K., Rodello, I. A., Hartl, K., & Jacob, O. (2017). Identifying opportunities and challenges for adding value to decision-making in higher education through academic analytics. In Advances in Intelligent Systems and Computing (Vol. 570, pp. 474–480). https://doi.org/10.1007/978-3-319-56538-5_48spa
dc.relation.referencesNooradilla, A., Hasan, S., Miskon, N., Ahmad, M., Ali, H., Hashim, N., … Maarof, A. (2016). Business Intelligence Readiness Factors for Higher Education Institution. Journal of Theoretical and Applied Information Technology, 15(1), 174–181. Retrieved from www.jatit.orgspa
dc.relation.referencesNordin, N. (2011). The influence of emotional intelligence, leadership behaviour and organizational commitment on organizational readiness for change in higher learning institution. In Procedia - Social and Behavioral Sciences. https://doi.org/10.1016/j.sbspro.2011.11.217spa
dc.relation.referencesNova, J. S. (2018). Relaciones entre el conocimiento organizativo y la apropiación de las Tecnologías de la información. Un análisis desde la literatura académica. Universidad Nacional de Colombia - Sede Bogotá. https://doi.org/10.13140/RG.2.2.35101.15848spa
dc.relation.referencesOchoa, R. L. U., & Peña, J. I. R. (2012). Teoría de la Difusión de Innovaciones: Evolución y uso en los Sistemas de Información. In III Congreso Internacional de Gestión Tecnológica e Innovación COGESTEC (pp. 1–13). Retrieved from http://www.bdigital.unal.edu.co/51979/spa
dc.relation.referencesOficina de Cooperación Universitaria (OCU). (2013). Libro blanco de inteligencia institucional en universidades. OCU. https://doi.org/10.1111/j.1365-3083.2009.02361.xspa
dc.relation.referencesPomeroy, W. (2014). Academic Analytics in Higher Education: Barriers to Adoption, 1–190.spa
dc.relation.referencesPowers, V. (2011). Business Intelligence Gets Smarter. University Business.spa
dc.relation.referencesRafati, L., & Poels, G. (2015). Towards Model-Based Strategic Sourcing (pp. 29–51). Springer, Cham. https://doi.org/10.1007/978-3-319-26739-5_2spa
dc.relation.referencesRaffoni, A., Visani, F., Bartolini, M., & Silvi, R. (2018). Business Performance Analytics: exploring the potential for Performance Management Systems. Production Planning & Control, 29(1), 51–67. https://doi.org/10.1080/09537287.2017.1381887spa
dc.relation.referencesRockart, J. F. (1979). Chief executives define their own data needs. Harvard Business Review, 57(2), 81–93.spa
dc.relation.referencesRodríguez, E., & Pedraja, L. (2009). Análisis del impacto del proceso de toma de decisiones estratégicas sobre la eficacia de las organizaciones públicas. Innovar. scieloco. Retrieved from http://www.scielo.org.co/scielo.php?script=sci_arttext&pid=S0121-50512009000300004&nrm=isospa
dc.relation.referencesRogers, E. M. (1983). Diffusion of innovations. The free press.spa
dc.relation.referencesRosemann, M., & Bruin, T. (2005). Towards a Business Process Management Maturity. ECIS 2005 Proceedings of the Thirteenth European Conference on Information Systems, 37.spa
dc.relation.referencesSaint, J., & Gutierrez, A. (2017). Adoption of learning analytics in the UK: Identification of key factors using the TOE framework. In 2017 SIGED International Conference on Information Systems Education and Research.spa
dc.relation.referencesSakys, V., & Butleris, R. (2011). Business intelligence tools and technologies for the analysis of university studies management. Transformations in Business and Economics, 10(2), 125–136. Retrieved from http://etalpykla.lituanistikadb.lt/fedora/objects/LT-LDB-0001:J.04~2011~1367178235275/datastreams/DS.002.1.01.ARTIC/contentspa
dc.relation.referencesSaldaña, J. (2003). Longitudinal qualitative research: Analyzing change through time. Rowman Altamira.spa
dc.relation.referencesSalleh, H., Alshawi, M., Azlinda, N., Sabli, M., Zolkafli, U., & Judi, S. (2011). Measuring readiness for successful information technology/information system (IT/IS) project implementation: A conceptual model. African Journal of Business Management, 5.spa
dc.relation.referencesSchultze, U., & Avital, M. (2011). Designing interviews to generate rich data for information systems research. Information and Organization, 21(1), 1–16. https://doi.org/10.1016/j.infoandorg.2010.11.001spa
dc.relation.referencesStieglitz, S., Mirbabaie, M., Ross, B., & Neuberger, C. (2018). Social media analytics – Challenges in topic discovery, data collection, and data preparation. International Journal of Information Management, 39, 156–168. Retrieved from http://10.0.3.248/j.ijinfomgt.2017.12.002spa
dc.relation.referencesSundberg, L., & Larsson, A. (2017). The Impact of Formal Decision Processes on e-Government Projects. Administrative Sciences (2076-3387), 7(2), 1–12. Retrieved from http://10.0.13.62/admsci7020014spa
dc.relation.referencesTaherdoost, H. (2018). A review of technology acceptance and adoption models and theories. Procedia Manufacturing, 22, 960–967. https://doi.org/https://doi.org/10.1016/j.promfg.2018.03.137spa
dc.relation.referencesThamir, A., & Theodoulidis, B. (2013). Business Intelligence Maturity Models: Information Management Perspective BT - Information and Software Technologies. In T. Skersys, R. Butleris, & R. Butkiene (Eds.) (pp. 198–221). Berlin, Heidelberg: Springer Berlin Heidelberg.spa
dc.relation.referencesTodericiu, R., & Stanit, A. (2016). Knowledge management practices improvement in public sector administration. Review of General Management, 24(2), 33–39. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=120707530&lang=es&site=ehost-livespa
dc.relation.referencesTursunbayeva, A., Franco, M., & Pagliari, C. (2017, April 1). Use of social media for e-Government in the public health sector: A systematic review of published studies. Government Information Quarterly. JAI. https://doi.org/10.1016/j.giq.2017.04.001spa
dc.relation.referencesVásquez, F. E., & Gabalán, J. (2015). Información y ventaja competitiva. Coexistencia exitosa en las organizaciones de vanguardia. El Profesional de La Información, 24(2), 149. https://doi.org/10.3145/epi.2015.mar.08spa
dc.relation.referencesVenkatesh, V. (2006). Where To Go From Here? Thoughts on Future Directions for Research on Individual‐Level Technology Adoption with a Focus on Decision Making*. Decision Sciences, 37(4), 497–518. https://doi.org/10.1111/j.1540-5414.2006.00136.xspa
dc.relation.referencesVidgen, R., Shaw, S., & Grant, D. B. (2017). Management challenges in creating value from business analytics. European Journal of Operational Research, 261, 626–639. https://doi.org/10.1016/j.ejor.2017.02.023spa
dc.relation.referencesVignau, B. S. S., & Muñoz, J. V. R. (2000). La información como recurso en el desarrollo de las organizaciones de las administraciones públicas. In Anales de documentación (Vol. 3, pp. 155–165).spa
dc.relation.referencesWilliams, S., & Williams, N. (2004). Assessing BI Readiness : The Key to BI ROI. Business Intelligence Journal.spa
dc.relation.referencesWixom, B., & Watson, H. (2001). An Empirical Investigation of the Factors Affecting Data Warehousing Success. MIS Quarterly, 25, 17–41. https://doi.org/10.2307/3250957spa
dc.relation.referencesYeoh, & Popovič, A. (2016). Extending the understanding of critical success factors for implementing business intelligence systems. Journal of the Association for Information Science and Technology, 67, 134–147. https://doi.org/10.1002/asi.23366spa
dc.relation.referencesYeoh, W., Gao, J., & Koronios, A. (2008). Towards a Critical Success Factor Framework for Implementing Business Intelligence Systems: A Delphi Study in Engineering Asset Management Organizations BT - Research and Practical Issues of Enterprise Information Systems II. In L. D. Xu, A. M. Tjoa, & S. S. Chaudhry (Eds.) (pp. 1353–1367). Boston, MA: Springer US.spa
dc.relation.referencesYeoh, W., & Koronios, A. (2010). Critical Success Factors for Business Intelligence Systems. Journal of Computer Information Systems, 50(3), 23–32. https://doi.org/10.1080/08874417.2010.11645404spa
dc.relation.referencesYin, R. (2011). Applications of case study research. Sage.spa
dc.rightsDerechos reservados - Universidad Nacional de Colombiaspa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.rights.licenseAtribución-NoComercial-SinDerivadas 4.0 Internacionalspa
dc.rights.spaAcceso abiertospa
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/spa
dc.subject.ddc600 - Tecnología (Ciencias aplicadas)spa
dc.subject.ddc000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadoresspa
dc.subject.ddc600 - Tecnología (Ciencias aplicadas)::607 - Educación, investigación, temas relacionadosspa
dc.subject.proposalAcademic Analyticseng
dc.subject.proposalAcademic Analyticsspa
dc.subject.proposalBusiness Intelligenceeng
dc.subject.proposalInteligencia de Negociosspa
dc.subject.proposalEducational Institutionseng
dc.subject.proposalInstituciones de Educaciónspa
dc.subject.proposalFactores de Preparaciónspa
dc.subject.proposalReadiness Factorseng
dc.titleFactores de preparación para la adopción de Academic Analytics (AA) en un contexto universitario : estudio de caso Facultad de Ciencias Económicas de la Universidad Nacional de Colombiaspa
dc.typeTrabajo de grado - Maestríaspa
dc.type.coarhttp://purl.org/coar/resource_type/c_bdccspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/masterThesisspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2spa

Archivos

Bloque original

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
Tesis_Leonardo_Esteban.pdf
Tamaño:
1.22 MB
Formato:
Adobe Portable Document Format

Bloque de licencias

Mostrando 1 - 1 de 1
Cargando...
Miniatura
Nombre:
license.txt
Tamaño:
3.9 KB
Formato:
Item-specific license agreed upon to submission
Descripción: