Mostrar el registro sencillo del documento

Evaluación del sistema de gestión de talento humano en una empresa estatal del sector de Hacienda y crédito público mediante el modelo de DeLone y McLean

dc.rights.licenseAtribución-NoComercial-CompartirIgual 4.0 Internacional
dc.contributor.advisorRojas Martínez, Sandra Liliana
dc.contributor.authorAtará Piraquive, Carlos Andrés
dc.date.accessioned2020-11-04T23:11:32Z
dc.date.available2020-11-04T23:11:32Z
dc.date.issued2020-10-29
dc.identifier.urihttps://repositorio.unal.edu.co/handle/unal/78585
dc.description.abstractEl presente trabajo presenta la aplicación del modelo de DeLone y McLean para la evaluación de la implementación del sistema de gestión del talento humano en una empresa estatal del sector de Hacienda y crédito público. Se aplicó un instrumento de medición para todos los usuarios finales del sistema y a partir los datos recolectados, se analizó la información con el fin de establecer un diagnóstico de la implementación, ventajas y desventajas del sistema de gestión del talento humano.
dc.description.abstractThis paper presents the application of DeLone and McLean's model for evaluating the implementation of the human talent management system in a state company in the Treasury and public credit sector. A measuring instrument was applied for all end users of the system and the data collected, information was analyzed in order to establish a diagnosis of the implementation, advantages and disadvantages of the human talent management system.
dc.format.extent133
dc.format.mimetypeapplication/pdf
dc.language.isospa
dc.rightsDerechos reservados - Universidad Nacional de Colombia
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject.ddc620 - Ingeniería y operaciones afines
dc.titleEvaluación del sistema de gestión de talento humano en una empresa estatal del sector de Hacienda y crédito público mediante el modelo de DeLone y McLean
dc.typeOtro
dc.rights.spaAcceso abierto
dc.description.additionalLínea de Investigación: Sistemas y Organizaciones
dc.type.driverinfo:eu-repo/semantics/other
dc.type.versioninfo:eu-repo/semantics/acceptedVersion
dc.publisher.programBogotá - Ingeniería - Maestría en Ingeniería - Ingeniería de Sistemas y Computación
dc.description.degreelevelMaestría
dc.publisher.branchUniversidad Nacional de Colombia - Sede Bogotá
dc.relation.referencesAlavi, M., & Henderson, J. C. (1981). An evolutionary strategy for implementing a decision support system. Management Science, 27(11), 1309-1323.
dc.relation.referencesAcuña G, Margoth (2016). Evaluación del Sistema de Información Académica (SIA) de la Universidad Nacional de Colombia. Universidad Nacional de Colombia.
dc.relation.referencesAyala R, Anderson R (2012). Evaluación del módulo de Recursos Humanos del Enterprise Resource Planning (ERP) en una empresa colombiana usando el modelo de Delone y Mclean. Universidad Nacional de Colombia.
dc.relation.referencesBailey, J. E., & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction. Management science, 29(5), 530-545.
dc.relation.referencesBaroudi, J. J., Olson, M. H., & Ives, B. (1986). An empirical study of the impact of user involvement on system usage and information satisfaction. Communications of the ACM, 29(3), 232-238.
dc.relation.referencesBelle, J. V., Nash, J. & Eccles, M. (2003). Discovering Information Systems.
dc.relation.referencesBenbasat, I., Dexter, A. S., & Masulis, P. S. (1981). An experimental study of the human/computer interface. Communications of the ACM, 24(11), 752-762.
dc.relation.referencesBeynon-Davies, P. (2020). Business information systems. Red Globe Press.
dc.relation.referencesChiavenato, I. (2007). Administración de Recursos Humanos (octava edición). Mc Graw Hill.
dc.relation.referencesDeLone, W. H. & McLean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information Systems Research, 3, 1, pp. 60-95.
dc.relation.referencesDeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems, 19, 4, pp. 9-30.
dc.relation.referencesDirección de Impuestos y Aduanas Nacionales, Ministerio de Hacienda y Crédito Público (2020a). La entidad. Recuperado de https://www.dian.gov.co/dian/entidad/Paginas/Presentacion.aspx
dc.relation.referencesDirección de Impuestos y Aduanas Nacionales, Ministerio de Hacienda y Crédito Público (2020b). Mapa de procesos. Recuperado de https://diancolombia.sharepoint.com/sites/diannetpruebas/procesos/Paginas/mapa_procesos.aspx
dc.relation.referencesDickson, G. W., DeSanctis, G., & McBride, D. J. (1986). Understanding the effectiveness of computer graphics for decision support: a cumulative experimental approach. Communications of the ACM, 29(1), 40-47.
dc.relation.referencesDunford, B. B., Snell, S. A. & Wright, P. M. (2001). Human resources and the resource based view of the firm. Journal of Management, 27, 6.
dc.relation.referencesEin-Dor, P., Segev, E., & Steinfeld, A. (1980). Use of management information systems: An empirical study. Tel-Aviv University, Faculty of Management, Leon Recanati Graduate School of Business Administration, Israel Institute of Business Research.
dc.relation.referencesFrost, R., Pike, J., Kenyo, L. & Pels, S. (2011). Business Information Systems: Design an App for That. Flat World Knowledge Inc.
dc.relation.referencesGable, Guy, Sedera, Darshana & Chan, Taizan. (2008). Re-conceptualizing information system success: the IS-Impact Measurement Model. Journal of the Association for Information Systems, 9, 7, pp. 377-408.
dc.relation.referencesGinzberg, M. J. (1981). Early diagnosis of MIS implementation failure: promising results and unanswered questions. Management science, 27(4), 459-478.
dc.relation.referencesGonzales, R. (2004). Impacto de la data warehouse e inteligencia de negocios en el desempeño de las empresas: investigación empírica en un país en vías de desarrollo. Tesis Doctoral, Universidad Ramon Llull.
dc.relation.referencesGoslar, M. D., Green, G. I., & Hughes, T. H. (1986). Applications and implementation decision support systems: an empirical assessment for decision making. Decision Sciences, 17(1), 79-91.
dc.relation.referencesHogue, C. J., Buehler, J. W., Strauss, L. T., & Smith, J. C. (1987). Overview of the National Infant Mortality Surveillance (NIMS) project--design, methods, results. Public Health Reports, 102(2), 126.
dc.relation.referencesIves, B. & Olson, M. (1984). User Involvement and MIS Success: A Review of Research. Management Science, 30, 5, pp. 586-603.
dc.relation.referencesKavanagh, M. J., Thite, M. & Johnson, R. D. (2012). Human resource information systems: basics, applications, and future directions (2 ed.). SAGE.
dc.relation.referencesKactus, Digitalware (2020). Ophelia. Recuperado de http://www.kactus.co/index.php/estrategia/tecnologia#arquitectura
dc.relation.referencesKing, W. R., & Epstein, B. J. (1983). Assessing information system value: An experimental study. Decision Sciences, 14(1), 34-45.
dc.relation.referencesKing, W. R., & Rodriguez, J. I. (1981). Note—participative design of strategic decision support systems: an empirical assessment. Management Science, 27(6), 717-726.
dc.relation.referencesKhanore, S., Patil, R. & Dand, H. (2011). Management information system. Institute of Distance and Open Learning, University of Mumbai.
dc.relation.referencesLaudon, Kenneth C. & Laudon, Jane Price. (2006). Management Information Systems: Managing the Digital Firm (9 ed.). Prentice Hall.
dc.relation.referencesLehman, J., Van Wetering, J., & Vogel, D. (1986). Mainframe and microcomputer-based business graphics: What satisfies users?. Information & Management, 10(3), 133-140.
dc.relation.referencesLengnick-Hall, M. L. & Moritz, S. (2003). The impact of e-HR on the human resource management function. Journal of Labor Research, 24, 3, 365-379.
dc.relation.referencesLiu, Y., Combs, J. G., Ketchen Jr, D. J. & Ireland R. D. (2007). The value of human resource management for organizational performance. Business Horizons, 50, 6, pp. 503-511.
dc.relation.referencesMahmood, M. A., & Medewitz, J. N. (1985). Impact of design methods on decision support systems success: an empirical assessment. Information & Management, 9(3), 137-151.
dc.relation.referencesMcKeen, J. D. (1983). Successful development strategies for business application systems. MiS Quarterly, 47-65.
dc.relation.referencesMiller, J., & Doyle, B. A. (1987). Measuring the effectiveness of computer-based information systems in the financial services sector. MIS quarterly, 107-124.
dc.relation.referencesMillman, Z., & Hartwick, J. (1987). The impact of automated office systems on middle managers and their work. MIS quarterly, 479-491.
dc.relation.referencesMondy, R. & Noe, R. (2005). Administración de Recursos Humanos (9 ed.). México: Pearson, Prentice Hall.
dc.relation.referencesPanayotopoulou, L., Vakola, M. & Galanaki, E. (2007). E-HR adoption and the role of HRM: evidence from Greece. Personnel Review, 36, 2, 277-294.
dc.relation.referencesParasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. the Journal of Marketing, 41-50.
dc.relation.referencesPetter, S., DeLone, W. & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 17, 3, pp. 236-263. DOI: 10.1057/ejis.2008.15
dc.relation.referencesPinto, J. K., Mantel, S. J. (1990). The Causes of Project Failure. IEEE transactions on engineering management, 37, 4.
dc.relation.referencesRai, A., Lang, S. S. & Welker, R. B. (2002). Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis. Information Systems Research, 13, 1, pp. 50-69.
dc.relation.referencesRainer, R. K., Prince, B., Splettstoesser-Hogeterp, I., Sanchez-Rodriguez, C., & Ebrahimi, S. (2020). Introduction to information systems. John Wiley & Sons.
dc.relation.referencesRivard, S., & Huff, S. L. (1985). An empirical study of users as application developers. Information & Management, 8(2), 89-102.
dc.relation.referencesRobbins, S. P. (2004). Comportamiento Organizacional (10 ed.). Prentice-Hall.
dc.relation.referencesRuël, Huub. (2009). Studying human resource information systems implementation using adaptive structuration theory: The case of an HRIS implementation at dow chemical company. 171-185. 10.4018/978-1-60566-304-3.ch010.
dc.relation.referencesSaffle, J. R., Medina, E., Raymond, J. A. N. I. C. E., Westenskow, D. W. A. Y. N. E., Kravitz, M. E. L. V. A., & Warden, G. D. (1985). Use of indirect calorimetry in the nutritional management of burned patients. The Journal of trauma, 25(1), 32-39.
dc.relation.referencesSanders, G. L., & Courtney, J. F. (1985). A field study of organizational factors influencing DSS success. MIS quarterly, 77-93.
dc.relation.referencesSecretaría de la Función Pública, Presidencia de la República del Paraguay (2010). Manual de Aplicación del Índice de Gestión de Personas de la Función Pública (IGP). Asunción, Paraguay. Gestión Ambiental para el desarrollo sustentable. Recuperado de http://www.geam.org.py/v3/cgp/files/2011/01/Manual-de-Aplicacion-del-IGP.pdf
dc.relation.referencesSeddon, P. B. (1997). A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research, 8, 3, pp. 240-253.
dc.relation.referencesSnitkin, S. R., & King, W. R. (1986). Determinants of the effectiveness of personal decision support systems. Information & Management, 10(2), 83-89.
dc.relation.referencesSrinivasan, A. (1985). Alternative measures of system effectiveness: associations and implications. MIS quarterly, 243-253.
dc.relation.referencesWang, Y.-S. & Liao Y.-W. (2008). Assessing eGovernment systems success: A validation of the DeLone and McLean model of information systems success. Government Information Quarterly, 25, 4, pp. 717-733.
dc.relation.referencesZapata Rotundo, G. J., & Canet Giner, M. T. (2008). Propuesta metodológica para la construcción de escalas de medición a partir de una aplicación empírica. Revista Electrónica" Actualidades Investigativas en Educación", 8(2).
dc.relation.referencesZmud, R. W., Boynton, A. C., & Jacobs, G. C. (1987, December). An Examination of Managerial Strategies for Increasing Information Technology Penetration in Organizations. In ICIS (p. 36).
dc.rights.accessrightsinfo:eu-repo/semantics/openAccess
dc.subject.proposalDeLone and McLean
dc.subject.proposalDeLone y McLean
dc.subject.proposalInformation systems
dc.subject.proposalSistemas de Información
dc.subject.proposalHuman talent management systems
dc.subject.proposalSistemas de Gestión del Talento Humano
dc.subject.proposalEvaluation model
dc.subject.proposalModelo de evaluación
dc.subject.proposalCritical success factors
dc.subject.proposalFactores críticos de éxito
dc.type.coarhttp://purl.org/coar/resource_type/c_1843
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.contentText
oaire.accessrightshttp://purl.org/coar/access_right/c_abf2


Archivos en el documento

Thumbnail
Nombre:
1019003696.2020.pdf
Tamaño:
2.796Mb
Formato:
PDF
Descargar
Thumbnail
Nombre:
license_rdf
Tamaño:
1.012Kb
Formato:
application/rdf+xml
Descargar

Este documento aparece en la(s) siguiente(s) colección(ones)

Mostrar el registro sencillo del documento

Atribución-NoComercial-CompartirIgual 4.0 InternacionalEsta obra está bajo licencia internacional Creative Commons Reconocimiento-NoComercial 4.0.Este documento ha sido depositado por parte de el(los) autor(es) bajo la siguiente constancia de depósito