Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica

Este documento presenta el resultado de la investigación acerca de la relación entre las nuevas tecnologías digitales asociadas a Transformación Digital y el Desempeño de las organizaciones. Se establece la relación a través de la construcción de un modelo conceptual basado en una revisión sistemáti...

Full description

Autores:
Rosero Garcia, Javier
Tipo de recurso:
Work document
Fecha de publicación:
2019
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/77839
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/77839
Palabra clave:
330 - Economía, 620 - Ingeniería y operaciones afines, 658 - Administración general,
decision making
systematic literature review
digital transformation
organizational transformation
dynamic capabilities
toma de decisión
transformación digital
transformación organizacional
revisión sistemática de la literatura
capacidades dinámicas
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
id UNACIONAL2_22dc5e562197b03445efb8b63d1c39ca
oai_identifier_str oai:repositorio.unal.edu.co:unal/77839
network_acronym_str UNACIONAL2
network_name_str Universidad Nacional de Colombia
repository_id_str
dc.title.spa.fl_str_mv Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
dc.title.alternative.spa.fl_str_mv Digital transformation and organizational performance in electrical power companies
title Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
spellingShingle Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
330 - Economía, 620 - Ingeniería y operaciones afines, 658 - Administración general,
decision making
systematic literature review
digital transformation
organizational transformation
dynamic capabilities
toma de decisión
transformación digital
transformación organizacional
revisión sistemática de la literatura
capacidades dinámicas
title_short Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
title_full Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
title_fullStr Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
title_full_unstemmed Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
title_sort Transformación digital y desempeño organizacional en empresas del sector de energía eléctrica
dc.creator.fl_str_mv Rosero Garcia, Javier
dc.contributor.advisor.spa.fl_str_mv Peña, José Ismael
dc.contributor.author.spa.fl_str_mv Rosero Garcia, Javier
dc.contributor.corporatename.spa.fl_str_mv Universidad Nacional de Colombia
dc.contributor.researchgroup.spa.fl_str_mv Electrical Machines & Drives, EM&D
dc.subject.ddc.spa.fl_str_mv 330 - Economía, 620 - Ingeniería y operaciones afines, 658 - Administración general,
topic 330 - Economía, 620 - Ingeniería y operaciones afines, 658 - Administración general,
decision making
systematic literature review
digital transformation
organizational transformation
dynamic capabilities
toma de decisión
transformación digital
transformación organizacional
revisión sistemática de la literatura
capacidades dinámicas
dc.subject.proposal.eng.fl_str_mv decision making
systematic literature review
digital transformation
organizational transformation
dynamic capabilities
dc.subject.proposal.spa.fl_str_mv toma de decisión
transformación digital
transformación organizacional
revisión sistemática de la literatura
capacidades dinámicas
description Este documento presenta el resultado de la investigación acerca de la relación entre las nuevas tecnologías digitales asociadas a Transformación Digital y el Desempeño de las organizaciones. Se establece la relación a través de la construcción de un modelo conceptual basado en una revisión sistemática de la literatura (RSL) en la teoría de Capacidades Dinámicas (DC) y la contribución de algunas metodologías, experimentos y validaciones de teorías de visión basadas en recursos (RBV) y de visión basada en conocimiento (KBV). Este estudio incluye el marco teórico de los temas asociados a la temática planteada, la revisión sistemática de la literatura (RSL), el diseño de modelo conceptual e hipótesis, la realización de encuesta y análisis, validación del modelo y el análisis de resultados. Además, se identifican los factores que fomentan los cambios digitales en las organizaciones y que permitan aprovechar la transformación digital donde se busca optimizar los procesos basados en datos, logrando generar valor en los negocios y en la toma de decisiones. El estudio permite concluir que los procesos de las organizaciones funcionan como fenómenos que tienen realidades objetivas, que se pueden expresar en relaciones causales y medirse por medio de datos, en muchas ocasiones en tiempo real, y que producen conocimiento como elemento clave en la generación de valor en las organizaciones. El modelo desarrollado permite identificar la relación de la transformación digital y el desempeño organizacional que se representa a través de relaciones entre los conceptos independientes y dependientes de las organizaciones, donde es posible evaluar la contribución y fiabilidad de cada constructo e hipótesis establecida.
publishDate 2019
dc.date.issued.spa.fl_str_mv 2019-02-01
dc.date.accessioned.spa.fl_str_mv 2020-07-24T04:37:56Z
dc.date.available.spa.fl_str_mv 2020-07-24T04:37:56Z
dc.type.spa.fl_str_mv Documento de trabajo
dc.type.driver.spa.fl_str_mv info:eu-repo/semantics/workingPaper
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/acceptedVersion
dc.type.coar.spa.fl_str_mv http://purl.org/coar/resource_type/c_8042
dc.type.content.spa.fl_str_mv Text
dc.type.redcol.spa.fl_str_mv http://purl.org/redcol/resource_type/WP
format http://purl.org/coar/resource_type/c_8042
status_str acceptedVersion
dc.identifier.uri.none.fl_str_mv https://repositorio.unal.edu.co/handle/unal/77839
url https://repositorio.unal.edu.co/handle/unal/77839
dc.language.iso.spa.fl_str_mv spa
language spa
dc.relation.references.spa.fl_str_mv Adrian, C., Abdullah, R., Atan, R., & Jusoh, Y. Y. (2018). Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making. International Journal of Interactive Multimedia and Artificial Intelligence, InPress(InPress), 1. https://doi.org/10.9781/ijimai.2018.03.001
Alsaig, A., Alagar, V., & Ormandjieva, O. (2018). A Critical Analysis of the V-Model of Big Data. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 1809–1813. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00273
Amit, R., & Schoemaker, P. J. H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46. https://doi.org/10.1002/smj.4250140105
Anand, B., & Krishna, K. (2019). Overcoming Hurdles to Accelerate Data-Centric Ways of Working in the Energy Industry. In Offshore Technology Conference (Vol. 2019-May). Offshore Technology Conference. https://doi.org/10.4043/29446-MS
Anand, N., & Barsoux, J.-L. (2017). What Everyone Gets Wrong About Change Management: EBSCOhost. Harvard Business Review.
Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411
Andriushchenko, K., Buriachenko, A., Rozhko, O., Lavruk, O., Skok, P., Hlushchenko, Y., … Kondarevych, V. (2020). Peculiarities of sustainable development of enterprises in the context of digital transformation. Entrepreneurship and Sustainability Issues, 7(3), 2255–2270. https://doi.org/10.9770/jesi.2020.7.3(53)
Aono, K., Lajnef, N., Faridazar, F., & Chakrabartty, S. (2016). Infrastructural health monitoring using self-powered Internet-of-Things. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 2058–2061). https://doi.org/10.1109/ISCAS.2016.7538983
Argote, L. (2012). Organizational Learning: Creating, Retaining and Transferring Knowledge. Springer Science & Business Media.
Ashrafi, N., Kelleher, L., & Kuilboer, J. P. (2014). The impact of business intelligence on healthcare delivery in the USA. Interdisciplinary Journal of Information, Knowledge, and Management, 9, 117–130. https://doi.org/10.28945/1993
Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34. https://doi.org/10.1007/s11747-011-0278-x
Barney, J. B. (1986). Organizational culture: Can it be a source of sustained competitive advantage? Academy of Management Review, (11(3)), 656–665.
Barney, Jay B., Ketchen, D. J., & Wright, M. (2011). The future of resource-based theory: Revitalization or decline? Journal of Management, 37(5), 1299–1315. https://doi.org/10.1177/0149206310391805
Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2017). Resource management in big data initiatives: Processes and dynamic capabilities. Journal of Business Research, 70, 328–337. https://doi.org/10.1016/j.jbusres.2016.08.006
Briceño Moreno, M. de los Á., & Bernal Torres, C. A. (2010). Estudios de Caso Sobre La Gestión Del Conocimiento en Cuatro Organizaciones Colombianas Líderes en Penetración de Mercado. Estudios Gerenciales, 26(117), 173–193. Retrieved from https://www.redalyc.org/articulo.oa?id=21218551009
Brous, P., Janssen, M., & Herder, P. (2019). Internet of Things adoption for reconfiguring decision-making processes in asset management. Business Process Management Journal, 25(3), 495–511. https://doi.org/10.1108/BPMJ-11-2017-0328
Buono, A. F., & Kerber, K. W. (2010). Intervention and Organizational Change: Building Organizational Change Capacity. EBS Review,.
Bustos Martínez, E., Carrasco Sagredo, C., & Bull, M. T. (2018). Propuesta metodológica para implementar la primera fase del modelo de gestión del cambio organizacional de Lewin. Methodological Proposal to Implement the First Stage of Lewin’s Organizational Change Management.
Byrne, B. M. (2012). Testing the Factorial Validity of Scores From a Measuring Instrument First-Order Confirmatory Factor Analysis Model. Structural Equation Modeling With Mplus. https://doi.org/10.1080/10705511.2014.935842
Camisón, C., & Forés, B. (2010). New insights for its conceptualization and measurement. Journal of Business Research.
Céspedes, R., Rosero, J., Montaño, W., & Reyes, J. F. (2017). Methodology for defining the functionality of advanced measurement infraestructure in Colombia. 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017, 2017-Janua, 1–6. https://doi.org/10.1109/ISGT-LA.2017.8126745
Cha, K. J., & Cha, J. S. (2014). Information Technology Enabled Organizational Transformation: Toward an Integrative Theoretical Framework. International Journal of Multimedia and Ubiquitous Engineering, 9(2), 115–126. https://doi.org/10.14257/ijmue.2014.9.2.11
Chandler, a D. (1962). Strategy and structure: Chapters in the history of American enterprise. Massachusetts Institute of Technology Cambridge, 349–407.
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access, 6, 6505–6519. https://doi.org/10.1109/ACCESS.2017.2783682
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165. https://doi.org/10.2307/41703503
Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: The constructs and measurements. Journal of Operations Management, 22(2), 119–150. https://doi.org/10.1016/j.jom.2003.12.007
Cianni, Mary, and Steven Steckler. (2017). Transforming organizations to a digital world. People & Strategy, Spring, 14.
Conner, K. R. (1991). A historical comparison of resource-based theory and five schools of thought within industrial organization economics: Do we have a new theory of the firm? Journal of Management.
Correa Ospina, Martha Liliana; Díaz Pinzón, B. H. (2018). Capacidad en tecnologías de la información y desempeño organizacional : un estudio en. Innovar, 28, 99–115. https://doi.org/10.15446/innovar.v28n69.71
Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379–390. https://doi.org/10.1016/j.jbusres.2016.08.011
Dery, K., Sebastian, I. M., & van der Meulen, N. (2017). The Digital Workplace is Key to Digital Innovation. MIS Quarterly Executive, 16(2), 135–152. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=123370531&lang=es&site=ehost-live
Donate, M. J., & de Pablo, J. D. S. (2015). The role of knowledge-oriented leadership in knowledge management practices and innovation. Journal of Business Research.
Eisenhardt, K., & Martin, J. A. (2000). Dynamic capabilities: What are they. European Business Review, 31(1), 25–63. https://doi.org/10.1108/ebr-03-2018-0060
Emily Coyne, Joshua Coyne, Kenton Walker. (2018). Big Data Information Governance by Accountants. Journal of the American Health Information Management Association, 88(3), 28–29.
Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897–904. https://doi.org/10.1016/j.jbusres.2015.07.001
Fatás Juberías, E., & Roig Cotanda, J. (2004). Una introducción a la metodología experimental en economía. Cuadernos de Economía: Spanish Journal of Economics and Finance, 27(75), 7–36.
Fernández-Caramés, T. M., & Fraga-Lamas, P. (2018). A Review on the Use of Blockchain for the Internet of Things. IEEE Access, 6, 32979–33001. https://doi.org/10.1109/ACCESS.2018.2842685
Filippini, R., Güttel, W. H., & Nosella, A. (2012). Ambidexterity and the evolution of knowledge management initiatives. Journal of Business Research.
Fornell, C., & Larcker, D. F. (2012). Evaluating Structural Equation Models with Unobservable Variables and MeasurementError. Journal of Marketing Research, 66(1), 37–39.
Fosso Wamba, S., Akter, S., & de Bourmont, M. (2019). Quality dominant logic in big data analytics and firm performance. Business Process Management Journal, 25(3), 512–532. https://doi.org/10.1108/BPMJ-08-2017-0218
Galvez Martinez, A. C., Casteneda Cuellar, M., & Tarazona Bermudez, G. M. (2017). Integration Model of Business Intelligence and Knowledge Management. Redes de Ingeniería - Rompiendo Las Barreras Del Conocimiento, 109–118.
Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review.
Größler, A., & Grübner, A. (2006). An empirical model of the relationships between manufacturing capabilities. International Journal of Operations and Production Management (Vol. 26). https://doi.org/10.1108/01443570610659865
Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004
Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004
Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(2009), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014
Hill, C. W. L., & Jones, G. R. (1995). Strategic management: An integrated approach. Mass: Houghton Mifflin Co.
Hofer, C. W., & Schendel, D. (1980). Strategy formulation: Analytical concepts. West Publishing.
Jenatabadi, H. S. (2015). An Overview of Organizational Performance Index: Definitions and Measurements The electrochemical capacitive behavior of polymer-based nanocomposites View project An Overview of Organizational Performance Index: Definitions and Measurements. RessearchGate, (May), 1–10. https://doi.org/10.13140/RG.2.1.4298.3849
Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., & Childe, S. J. (2017). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, 55(17), 5011–5026. https://doi.org/10.1080/00207543.2016.1154209
Kafel, P., & Casadesus, M. (2016). The order and level of management standards implementation. The TQM Journal.
Kodama, M. (2006). Knowledge-based view of corporate strategy. Technovation, 26(12), 1390–1406. https://doi.org/10.1016/j.technovation.2005.08.006
Koo, D., Piratla, K., & Matthews, C. J. (2015). Towards Sustainable Water Supply: Schematic Development of Big Data Collection Using Internet of Things (IoT). Procedia Engineering, 118, 489–497. https://doi.org/https://doi.org/10.1016/j.proeng.2015.08.465
Li, W., Liu, K., Belitski, M., Ghobadian, A., & O’Regan, N. (2016). e-Leadership through strategic alignment: An empirical study of small- and medium-sized enterprises in the digital age. Journal of Information Technology, 31(2), 185–206. https://doi.org/10.1057/jit.2016.10
Lom, M., Pribyl, O., & Svitek, M. (2016). Industry 4.0 as a Part of Smart Cities. Proceedings of the IEEE, 104(February), 2–7. https://doi.org/10.1109/SCSP.2016.7501015
Martínez Ávila, M., & Fierro Moreno, E. (2018). Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico / Application of the PLS-SEM technique in Knowledge Management: a practical technical approach. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo (Vol. 8). https://doi.org/10.23913/ride.v8i16.336
May, G., & Stahl, B. (2017). The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes. International Journal of Production Research,.
McAfee, A., & Brynjolfsson, E. (2012). Big Data. The management revolution. Harvard Buiness Review, 90(10), 61–68. https://doi.org/10.1007/s12599-013-0249-5
Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L., & Canhoto, A. (2018). Big data, big decisions: The impact of big data on board level decision-making. Journal of Business Research, 93, 67–78. https://doi.org/10.1016/j.jbusres.2018.08.029
Mihardjo, L. W. W., Sasmoko, Alamsyah, F., & Elidjen. (2019). The influence of digital leadership on innovation management based on dynamic capability: Market orientation as a moderator. Management Science Letters, 9(7), 1059–1070. https://doi.org/10.5267/j.msl.2019.3.018
Ministerio de minas y Energía, Banco Interamericano de Desarrollo, Ministerio de Tecnologías de la Información y las Comunicaciones, Unidad de Planeación Minero-Energética, & Iniciativa Colombia Inteligente. (2016). 07 Parte II Mapa de Ruta: Construcción y Resultados (COMPONENTE I). Smart Grids Colombia Visión 2030, 2(Componente I), 175.
Mishra, D., Luo, Z., Hazen, B., Hassini, E., & Foropon, C. (2018, September 12). Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance: A resource-based perspective. Management Decision, pp. 1734–1755. https://doi.org/10.1108/MD-03-2018-0324
Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). The Internet of things is the backbone. IEEE Consumer Electronics Magazine, 5(3), 60–70. https://doi.org/10.1109/MCE.2016.2556879
Montúfar, R. G. (2013). Desarrollo organizacional: principios y aplicaciones. (2013 McGraw Hill/Interamericana de México, Ed.). McGraw Hill/Interamericana de México. Retrieved from https://books.google.com.co/books?id=E3BqngEACAAJ
Õrjan, L. (1998). Measurement of overall equipment effectiveness as a basis for TPM activities. International Journal of Operations & Production Management, 18(5), 495–507. https://doi.org/10.1108/01443579810206334
Patgiri, R., & Ahmed, A. (2016). Big Data : The V ’ s of the Game Changer Paradigm, 17–24. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.8
Penley, L. E., & Gould, S. (1988). Etzioni ’ s Model of Organizational Involvement : A Perspective for Understanding Commitment to Organizations Stable URL : http://www.jstor.org/stable/2488139 Linked references are available on JSTOR for this article : Etzioni ’ s model of organizational. Journal of Organizational Behavior, 9(March 1987), 43–59.
Pereira, C. S., Durão, N., Fonseca, D., Ferreira, M. J., & Moreira, F. (2020). An Educational Approach for Present and Future of Digital Transformation in Portuguese Organizations. Applied Sciences, 10(3), 757. https://doi.org/10.3390/app10030757
Peteraf, M. A., & Barney, J. B. (2003). Unraveling the resource-based tangle. Managerial and Decision Economics, 24(4), 309–323. https://doi.org/10.1002/mde.1126
Pisano, G., Teece, D. J., Shuen, A., & Teece Gary Shuen, Amy, D. J. P. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(07), 509–533. https://doi.org/10.1002/CJAS.117
Popper, K. R. (1963). Conjectures and refutations. The growth of scientific knowledge. Essays and Lectures.
Price, A. D. F., & Chahal, K. (2006). A strategic framework for change management. Construction Management and Economics, 24(3), 237–251. https://doi.org/10.1080/01446190500227011
Reis, J., Amorim, M., Melao, N., & Matos, P. (2018). Digital Transformation: A Literature Review and Guidelines for Future Research. In Á. R. et al. (Eds.) (Ed.), Advances in Intelligent Systems and Computing (WorldCIST’, pp. 411–421). Springer International Publishing AG, part of Springer Nature 2018. https://doi.org/10.1007/978-3-319-77703-0_41
Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019). Big data and dynamic capabilities: a bibliometric analysis and systematic literature review. Management Decision, MD-07-2018-0821. https://doi.org/10.1108/MD-07-2018-0821
Rialti, R., Marzi, G., Silic, M., & Ciappei, C. (2018). Ambidextrous organization and agility in big data era: The role of business process management systems. Business Process Management Journal, 24(5), 1091–1109. https://doi.org/10.1108/BPMJ-07-2017-0210
Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organizational performance: Towards methodological best practice. Journal of Management, 35(3), 718–804. https://doi.org/10.1177/0149206308330560
Rollins, M., Bellenger, D. N., & Johnston, W. J. (2012). Customer information utilization in business-to-business markets: Muddling through process? Journal of Business Research.
Romero, J., Matamoros, S., & Campo, C. A. (2013). On organizational change. A Literature Review. Innovar, 23(50), 35–52. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888105093&partnerID=40&md5=6a4b9bc90277ad4b433f1a4d312ecece
Sambamurthy, V., Bharadwaj, A., Grover, V., Bennett, J., Perrewé, P. L., Kane, G. C., … Performance, W. (2003). Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms. MIS Quarterly, 27(2), 237–263. https://doi.org/10.2307/30036530
Sandoval Duque, J. L. (2014). Los procesos de cambio organizacional y la generación de valor. Organizational Change Processes and Value Creation.
Santoro, G., Fiano, F., Bertoldi, B., & Ciampi, F. (2018, September 12). Big data for business management in the retail industry. Management Decision. https://doi.org/10.1108/MD-07-2018-0829
Santoro, G., Vrontis, D., Thrassou, A., & Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.02.034
SCE-Cisco-IBM Sgra Team_2011. (2011). Smart Grid Reference Architecture. International Business, 1, 1–118.
Schallmo, D., Williams, C. A., & Boardman, L. (2017). Digital Transformation of Business Models — Best Practice, Enablers, and Roadmap. International Journal of Innovation Management, 21(08), 1740014. https://doi.org/10.1142/S136391961740014X
Sklyar, A., Kowalkowski, C., Tronvoll, B., & Sörhammar, D. (2019). Organizing for digital servitization: A service ecosystem perspective. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.02.012
Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
Valentin, B. A. (2017). Methods of Assessment and Training of a Company Towards the Enterprise 4.0. Proceedings of the 28th DAAAM International Symposium, 28, 1065–1073. https://doi.org/10.2507/28th.daaam.proceedings.148
Van Eck, N. J., & Waltman, L. (2013). {VOSviewer} manual. Leiden: Univeristeit Leiden, (September). Retrieved from http://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.1.pdf
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wade, & Hulland. (2004). Review: The Resource-Based View and Information Systems Research: Review, Extension, and Suggestions for Future Research. MIS Quarterly, 28(1), 107. https://doi.org/10.2307/25148626
Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
Whitten, G. D., Kenneth, W. G., & Zelbst, P. J. (2012). Triple-A supply chain performance. International Journal of Operations and Production Management, 32(1), 28–48. https://doi.org/10.1108/01443571211195727
Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science.
dc.rights.spa.fl_str_mv Derechos reservados - Universidad Nacional de Colombia
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.license.spa.fl_str_mv Atribución-NoComercial 4.0 Internacional
dc.rights.spa.spa.fl_str_mv Acceso abierto
dc.rights.uri.spa.fl_str_mv http://creativecommons.org/licenses/by-nc/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv Atribución-NoComercial 4.0 Internacional
Derechos reservados - Universidad Nacional de Colombia
Acceso abierto
http://creativecommons.org/licenses/by-nc/4.0/
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 126
dc.format.mimetype.spa.fl_str_mv application/pdf
dc.publisher.program.spa.fl_str_mv Bogotá - Ciencias Económicas - Maestría en Administración
dc.publisher.department.spa.fl_str_mv Escuela de Administración y Contaduría Pública
dc.publisher.branch.spa.fl_str_mv Universidad Nacional de Colombia - Sede Bogotá
institution Universidad Nacional de Colombia
bitstream.url.fl_str_mv https://repositorio.unal.edu.co/bitstream/unal/77839/1/Tesis%20MSc_Transformaci%c3%b3n%20Digital_JARG_Rev_I.pdf
https://repositorio.unal.edu.co/bitstream/unal/77839/3/license_rdf
https://repositorio.unal.edu.co/bitstream/unal/77839/2/license.txt
https://repositorio.unal.edu.co/bitstream/unal/77839/4/Tesis%20MSc_Transformaci%c3%b3n%20Digital_JARG_Rev_I.pdf.jpg
bitstream.checksum.fl_str_mv e1803efb57d20e22a17befd668c69a1b
42fd4ad1e89814f5e4a476b409eb708c
6f3f13b02594d02ad110b3ad534cd5df
94d5b511f0b030013a68b136084358b5
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
MD5
MD5
repository.name.fl_str_mv Repositorio Institucional Universidad Nacional de Colombia
repository.mail.fl_str_mv repositorio_nal@unal.edu.co
_version_ 1814090192053600256
spelling Atribución-NoComercial 4.0 InternacionalDerechos reservados - Universidad Nacional de ColombiaAcceso abiertohttp://creativecommons.org/licenses/by-nc/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Peña, José Ismaelc6b06478-427d-44e0-885d-bc630a1bbecb-1Rosero Garcia, Javier816b6514-f02c-48ba-accf-aa3b171ff30aUniversidad Nacional de ColombiaElectrical Machines & Drives, EM&D2020-07-24T04:37:56Z2020-07-24T04:37:56Z2019-02-01https://repositorio.unal.edu.co/handle/unal/77839Este documento presenta el resultado de la investigación acerca de la relación entre las nuevas tecnologías digitales asociadas a Transformación Digital y el Desempeño de las organizaciones. Se establece la relación a través de la construcción de un modelo conceptual basado en una revisión sistemática de la literatura (RSL) en la teoría de Capacidades Dinámicas (DC) y la contribución de algunas metodologías, experimentos y validaciones de teorías de visión basadas en recursos (RBV) y de visión basada en conocimiento (KBV). Este estudio incluye el marco teórico de los temas asociados a la temática planteada, la revisión sistemática de la literatura (RSL), el diseño de modelo conceptual e hipótesis, la realización de encuesta y análisis, validación del modelo y el análisis de resultados. Además, se identifican los factores que fomentan los cambios digitales en las organizaciones y que permitan aprovechar la transformación digital donde se busca optimizar los procesos basados en datos, logrando generar valor en los negocios y en la toma de decisiones. El estudio permite concluir que los procesos de las organizaciones funcionan como fenómenos que tienen realidades objetivas, que se pueden expresar en relaciones causales y medirse por medio de datos, en muchas ocasiones en tiempo real, y que producen conocimiento como elemento clave en la generación de valor en las organizaciones. El modelo desarrollado permite identificar la relación de la transformación digital y el desempeño organizacional que se representa a través de relaciones entre los conceptos independientes y dependientes de las organizaciones, donde es posible evaluar la contribución y fiabilidad de cada constructo e hipótesis establecida.This document presents the result of the research about the relationship between the new digital technologies associated with Digital Transformation and the Performance of organizations. Relationship determined through the construction of a conceptual model based on a systematic literature review, in the theory of Dynamic Capabilities (DC) and the contribution of some methodologies, experiments and analyzed validations of resource-based vision theories (RBV) and knowledge based vision (KBV). The research includes the conceptual recapitulation in the theoretical framework of the topics associated with the proposed theme, the systematic review of the literature (RSL), the design of the conceptual model and hypothesis, the conduct of a survey and analysis, the validation of the model and the analysis of results. As main results, it is shown that research has paid little attention to the factors that encourage or hinder digital and technological changes in organizations, to take advantage of digital transformation and especially big data analytics. However, today's companies seek to optimize data-based processes, generating value in business and decision making. It is concluded, that the processes of organizations function, as phenomena that have objective realities, which can be expressed in causal relationships and measured by means of data, on many occasions in real time, that produce knowledge as a key element in the generation of value in the organizations With which, and through the model developed, it is possible to identify that, digital transformation and organizational performance can be represented through relationships between independent and dependent variables of organizations, in which it is possible to evaluate the contribution and reliability of each variable in the constructs and hypotheses established for each causal relationship.Magíster en Administración de Empresas. Línea de Investigación: Estrategia y Organizaciones.Maestría126application/pdfspa330 - Economía, 620 - Ingeniería y operaciones afines, 658 - Administración general,decision makingsystematic literature reviewdigital transformationorganizational transformationdynamic capabilitiestoma de decisióntransformación digitaltransformación organizacionalrevisión sistemática de la literaturacapacidades dinámicasTransformación digital y desempeño organizacional en empresas del sector de energía eléctricaDigital transformation and organizational performance in electrical power companiesDocumento de trabajoinfo:eu-repo/semantics/workingPaperinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_8042Texthttp://purl.org/redcol/resource_type/WPBogotá - Ciencias Económicas - Maestría en AdministraciónEscuela de Administración y Contaduría PúblicaUniversidad Nacional de Colombia - Sede BogotáAdrian, C., Abdullah, R., Atan, R., & Jusoh, Y. Y. (2018). Conceptual Model Development of Big Data Analytics Implementation Assessment Effect on Decision-Making. International Journal of Interactive Multimedia and Artificial Intelligence, InPress(InPress), 1. https://doi.org/10.9781/ijimai.2018.03.001Alsaig, A., Alagar, V., & Ormandjieva, O. (2018). A Critical Analysis of the V-Model of Big Data. 2018 17th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/ 12th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE), 1809–1813. https://doi.org/10.1109/TrustCom/BigDataSE.2018.00273Amit, R., & Schoemaker, P. J. H. (1993). Strategic assets and organizational rent. Strategic Management Journal, 14(1), 33–46. https://doi.org/10.1002/smj.4250140105Anand, B., & Krishna, K. (2019). Overcoming Hurdles to Accelerate Data-Centric Ways of Working in the Energy Industry. In Offshore Technology Conference (Vol. 2019-May). Offshore Technology Conference. https://doi.org/10.4043/29446-MSAnand, N., & Barsoux, J.-L. (2017). What Everyone Gets Wrong About Change Management: EBSCOhost. Harvard Business Review.Anderson, J. C., & Gerbing, D. W. (1988). Structural Equation Modeling in Practice: A Review and Recommended Two-Step Approach. Psychological Bulletin, 103(3), 411–423. https://doi.org/10.1037/0033-2909.103.3.411Andriushchenko, K., Buriachenko, A., Rozhko, O., Lavruk, O., Skok, P., Hlushchenko, Y., … Kondarevych, V. (2020). Peculiarities of sustainable development of enterprises in the context of digital transformation. Entrepreneurship and Sustainability Issues, 7(3), 2255–2270. https://doi.org/10.9770/jesi.2020.7.3(53)Aono, K., Lajnef, N., Faridazar, F., & Chakrabartty, S. (2016). Infrastructural health monitoring using self-powered Internet-of-Things. In 2016 IEEE International Symposium on Circuits and Systems (ISCAS) (pp. 2058–2061). https://doi.org/10.1109/ISCAS.2016.7538983Argote, L. (2012). Organizational Learning: Creating, Retaining and Transferring Knowledge. Springer Science & Business Media.Ashrafi, N., Kelleher, L., & Kuilboer, J. P. (2014). The impact of business intelligence on healthcare delivery in the USA. Interdisciplinary Journal of Information, Knowledge, and Management, 9, 117–130. https://doi.org/10.28945/1993Bagozzi, R. P., & Yi, Y. (2012). Specification, evaluation, and interpretation of structural equation models. Journal of the Academy of Marketing Science, 40(1), 8–34. https://doi.org/10.1007/s11747-011-0278-xBarney, J. B. (1986). Organizational culture: Can it be a source of sustained competitive advantage? Academy of Management Review, (11(3)), 656–665.Barney, Jay B., Ketchen, D. J., & Wright, M. (2011). The future of resource-based theory: Revitalization or decline? Journal of Management, 37(5), 1299–1315. https://doi.org/10.1177/0149206310391805Braganza, A., Brooks, L., Nepelski, D., Ali, M., & Moro, R. (2017). Resource management in big data initiatives: Processes and dynamic capabilities. Journal of Business Research, 70, 328–337. https://doi.org/10.1016/j.jbusres.2016.08.006Briceño Moreno, M. de los Á., & Bernal Torres, C. A. (2010). Estudios de Caso Sobre La Gestión Del Conocimiento en Cuatro Organizaciones Colombianas Líderes en Penetración de Mercado. Estudios Gerenciales, 26(117), 173–193. Retrieved from https://www.redalyc.org/articulo.oa?id=21218551009Brous, P., Janssen, M., & Herder, P. (2019). Internet of Things adoption for reconfiguring decision-making processes in asset management. Business Process Management Journal, 25(3), 495–511. https://doi.org/10.1108/BPMJ-11-2017-0328Buono, A. F., & Kerber, K. W. (2010). Intervention and Organizational Change: Building Organizational Change Capacity. EBS Review,.Bustos Martínez, E., Carrasco Sagredo, C., & Bull, M. T. (2018). Propuesta metodológica para implementar la primera fase del modelo de gestión del cambio organizacional de Lewin. Methodological Proposal to Implement the First Stage of Lewin’s Organizational Change Management.Byrne, B. M. (2012). Testing the Factorial Validity of Scores From a Measuring Instrument First-Order Confirmatory Factor Analysis Model. Structural Equation Modeling With Mplus. https://doi.org/10.1080/10705511.2014.935842Camisón, C., & Forés, B. (2010). New insights for its conceptualization and measurement. Journal of Business Research.Céspedes, R., Rosero, J., Montaño, W., & Reyes, J. F. (2017). Methodology for defining the functionality of advanced measurement infraestructure in Colombia. 2017 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2017, 2017-Janua, 1–6. https://doi.org/10.1109/ISGT-LA.2017.8126745Cha, K. J., & Cha, J. S. (2014). Information Technology Enabled Organizational Transformation: Toward an Integrative Theoretical Framework. International Journal of Multimedia and Ubiquitous Engineering, 9(2), 115–126. https://doi.org/10.14257/ijmue.2014.9.2.11Chandler, a D. (1962). Strategy and structure: Chapters in the history of American enterprise. Massachusetts Institute of Technology Cambridge, 349–407.Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2017). Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access, 6, 6505–6519. https://doi.org/10.1109/ACCESS.2017.2783682Chen, H., Chiang, R. H. L., & Storey, V. C. (2012). Business Intelligence and Analytics: From Big Data to Big Impact. MIS Quarterly, 36(4), 1165. https://doi.org/10.2307/41703503Chen, I. J., & Paulraj, A. (2004). Towards a theory of supply chain management: The constructs and measurements. Journal of Operations Management, 22(2), 119–150. https://doi.org/10.1016/j.jom.2003.12.007Cianni, Mary, and Steven Steckler. (2017). Transforming organizations to a digital world. People & Strategy, Spring, 14.Conner, K. R. (1991). A historical comparison of resource-based theory and five schools of thought within industrial organization economics: Do we have a new theory of the firm? Journal of Management.Correa Ospina, Martha Liliana; Díaz Pinzón, B. H. (2018). Capacidad en tecnologías de la información y desempeño organizacional : un estudio en. Innovar, 28, 99–115. https://doi.org/10.15446/innovar.v28n69.71Côrte-Real, N., Oliveira, T., & Ruivo, P. (2017). Assessing business value of Big Data Analytics in European firms. Journal of Business Research, 70, 379–390. https://doi.org/10.1016/j.jbusres.2016.08.011Dery, K., Sebastian, I. M., & van der Meulen, N. (2017). The Digital Workplace is Key to Digital Innovation. MIS Quarterly Executive, 16(2), 135–152. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&db=bth&AN=123370531&lang=es&site=ehost-liveDonate, M. J., & de Pablo, J. D. S. (2015). The role of knowledge-oriented leadership in knowledge management practices and innovation. Journal of Business Research.Eisenhardt, K., & Martin, J. A. (2000). Dynamic capabilities: What are they. European Business Review, 31(1), 25–63. https://doi.org/10.1108/ebr-03-2018-0060Emily Coyne, Joshua Coyne, Kenton Walker. (2018). Big Data Information Governance by Accountants. Journal of the American Health Information Management Association, 88(3), 28–29.Erevelles, S., Fukawa, N., & Swayne, L. (2016). Big Data consumer analytics and the transformation of marketing. Journal of Business Research, 69(2), 897–904. https://doi.org/10.1016/j.jbusres.2015.07.001Fatás Juberías, E., & Roig Cotanda, J. (2004). Una introducción a la metodología experimental en economía. Cuadernos de Economía: Spanish Journal of Economics and Finance, 27(75), 7–36.Fernández-Caramés, T. M., & Fraga-Lamas, P. (2018). A Review on the Use of Blockchain for the Internet of Things. IEEE Access, 6, 32979–33001. https://doi.org/10.1109/ACCESS.2018.2842685Filippini, R., Güttel, W. H., & Nosella, A. (2012). Ambidexterity and the evolution of knowledge management initiatives. Journal of Business Research.Fornell, C., & Larcker, D. F. (2012). Evaluating Structural Equation Models with Unobservable Variables and MeasurementError. Journal of Marketing Research, 66(1), 37–39.Fosso Wamba, S., Akter, S., & de Bourmont, M. (2019). Quality dominant logic in big data analytics and firm performance. Business Process Management Journal, 25(3), 512–532. https://doi.org/10.1108/BPMJ-08-2017-0218Galvez Martinez, A. C., Casteneda Cuellar, M., & Tarazona Bermudez, G. M. (2017). Integration Model of Business Intelligence and Knowledge Management. Redes de Ingeniería - Rompiendo Las Barreras Del Conocimiento, 109–118.Grant, R. M. (1991). The resource-based theory of competitive advantage: Implications for strategy formulation. California Management Review.Größler, A., & Grübner, A. (2006). An empirical model of the relationships between manufacturing capabilities. International Journal of Operations and Production Management (Vol. 26). https://doi.org/10.1108/01443570610659865Gunasekaran, A., Papadopoulos, T., Dubey, R., Wamba, S. F., Childe, S. J., Hazen, B., & Akter, S. (2017). Big data and predictive analytics for supply chain and organizational performance. Journal of Business Research, 70, 308–317. https://doi.org/10.1016/j.jbusres.2016.08.004Gupta, M., & George, J. F. (2016). Toward the development of a big data analytics capability. Information & Management, 53(8), 1049–1064. https://doi.org/10.1016/j.im.2016.07.004Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009). The use of partial least squares path modeling in international marketing. Advances in International Marketing, 20(2009), 277–319. https://doi.org/10.1108/S1474-7979(2009)0000020014Hill, C. W. L., & Jones, G. R. (1995). Strategic management: An integrated approach. Mass: Houghton Mifflin Co.Hofer, C. W., & Schendel, D. (1980). Strategy formulation: Analytical concepts. West Publishing.Jenatabadi, H. S. (2015). An Overview of Organizational Performance Index: Definitions and Measurements The electrochemical capacitive behavior of polymer-based nanocomposites View project An Overview of Organizational Performance Index: Definitions and Measurements. RessearchGate, (May), 1–10. https://doi.org/10.13140/RG.2.1.4298.3849Ji-fan Ren, S., Fosso Wamba, S., Akter, S., Dubey, R., & Childe, S. J. (2017). Modelling quality dynamics, business value and firm performance in a big data analytics environment. International Journal of Production Research, 55(17), 5011–5026. https://doi.org/10.1080/00207543.2016.1154209Kafel, P., & Casadesus, M. (2016). The order and level of management standards implementation. The TQM Journal.Kodama, M. (2006). Knowledge-based view of corporate strategy. Technovation, 26(12), 1390–1406. https://doi.org/10.1016/j.technovation.2005.08.006Koo, D., Piratla, K., & Matthews, C. J. (2015). Towards Sustainable Water Supply: Schematic Development of Big Data Collection Using Internet of Things (IoT). Procedia Engineering, 118, 489–497. https://doi.org/https://doi.org/10.1016/j.proeng.2015.08.465Li, W., Liu, K., Belitski, M., Ghobadian, A., & O’Regan, N. (2016). e-Leadership through strategic alignment: An empirical study of small- and medium-sized enterprises in the digital age. Journal of Information Technology, 31(2), 185–206. https://doi.org/10.1057/jit.2016.10Lom, M., Pribyl, O., & Svitek, M. (2016). Industry 4.0 as a Part of Smart Cities. Proceedings of the IEEE, 104(February), 2–7. https://doi.org/10.1109/SCSP.2016.7501015Martínez Ávila, M., & Fierro Moreno, E. (2018). Aplicación de la técnica PLS-SEM en la gestión del conocimiento: un enfoque técnico práctico / Application of the PLS-SEM technique in Knowledge Management: a practical technical approach. RIDE Revista Iberoamericana para la Investigación y el Desarrollo Educativo (Vol. 8). https://doi.org/10.23913/ride.v8i16.336May, G., & Stahl, B. (2017). The significance of organizational change management for sustainable competitiveness in manufacturing: exploring the firm archetypes. International Journal of Production Research,.McAfee, A., & Brynjolfsson, E. (2012). Big Data. The management revolution. Harvard Buiness Review, 90(10), 61–68. https://doi.org/10.1007/s12599-013-0249-5Merendino, A., Dibb, S., Meadows, M., Quinn, L., Wilson, D., Simkin, L., & Canhoto, A. (2018). Big data, big decisions: The impact of big data on board level decision-making. Journal of Business Research, 93, 67–78. https://doi.org/10.1016/j.jbusres.2018.08.029Mihardjo, L. W. W., Sasmoko, Alamsyah, F., & Elidjen. (2019). The influence of digital leadership on innovation management based on dynamic capability: Market orientation as a moderator. Management Science Letters, 9(7), 1059–1070. https://doi.org/10.5267/j.msl.2019.3.018Ministerio de minas y Energía, Banco Interamericano de Desarrollo, Ministerio de Tecnologías de la Información y las Comunicaciones, Unidad de Planeación Minero-Energética, & Iniciativa Colombia Inteligente. (2016). 07 Parte II Mapa de Ruta: Construcción y Resultados (COMPONENTE I). Smart Grids Colombia Visión 2030, 2(Componente I), 175.Mishra, D., Luo, Z., Hazen, B., Hassini, E., & Foropon, C. (2018, September 12). Organizational capabilities that enable big data and predictive analytics diffusion and organizational performance: A resource-based perspective. Management Decision, pp. 1734–1755. https://doi.org/10.1108/MD-03-2018-0324Mohanty, S. P., Choppali, U., & Kougianos, E. (2016). The Internet of things is the backbone. IEEE Consumer Electronics Magazine, 5(3), 60–70. https://doi.org/10.1109/MCE.2016.2556879Montúfar, R. G. (2013). Desarrollo organizacional: principios y aplicaciones. (2013 McGraw Hill/Interamericana de México, Ed.). McGraw Hill/Interamericana de México. Retrieved from https://books.google.com.co/books?id=E3BqngEACAAJÕrjan, L. (1998). Measurement of overall equipment effectiveness as a basis for TPM activities. International Journal of Operations & Production Management, 18(5), 495–507. https://doi.org/10.1108/01443579810206334Patgiri, R., & Ahmed, A. (2016). Big Data : The V ’ s of the Game Changer Paradigm, 17–24. https://doi.org/10.1109/HPCC-SmartCity-DSS.2016.8Penley, L. E., & Gould, S. (1988). Etzioni ’ s Model of Organizational Involvement : A Perspective for Understanding Commitment to Organizations Stable URL : http://www.jstor.org/stable/2488139 Linked references are available on JSTOR for this article : Etzioni ’ s model of organizational. Journal of Organizational Behavior, 9(March 1987), 43–59.Pereira, C. S., Durão, N., Fonseca, D., Ferreira, M. J., & Moreira, F. (2020). An Educational Approach for Present and Future of Digital Transformation in Portuguese Organizations. Applied Sciences, 10(3), 757. https://doi.org/10.3390/app10030757Peteraf, M. A., & Barney, J. B. (2003). Unraveling the resource-based tangle. Managerial and Decision Economics, 24(4), 309–323. https://doi.org/10.1002/mde.1126Pisano, G., Teece, D. J., Shuen, A., & Teece Gary Shuen, Amy, D. J. P. (1997). Dynamic Capabilities and Strategic Management. Strategic Management Journal, 18(07), 509–533. https://doi.org/10.1002/CJAS.117Popper, K. R. (1963). Conjectures and refutations. The growth of scientific knowledge. Essays and Lectures.Price, A. D. F., & Chahal, K. (2006). A strategic framework for change management. Construction Management and Economics, 24(3), 237–251. https://doi.org/10.1080/01446190500227011Reis, J., Amorim, M., Melao, N., & Matos, P. (2018). Digital Transformation: A Literature Review and Guidelines for Future Research. In Á. R. et al. (Eds.) (Ed.), Advances in Intelligent Systems and Computing (WorldCIST’, pp. 411–421). Springer International Publishing AG, part of Springer Nature 2018. https://doi.org/10.1007/978-3-319-77703-0_41Rialti, R., Marzi, G., Ciappei, C., & Busso, D. (2019). Big data and dynamic capabilities: a bibliometric analysis and systematic literature review. Management Decision, MD-07-2018-0821. https://doi.org/10.1108/MD-07-2018-0821Rialti, R., Marzi, G., Silic, M., & Ciappei, C. (2018). Ambidextrous organization and agility in big data era: The role of business process management systems. Business Process Management Journal, 24(5), 1091–1109. https://doi.org/10.1108/BPMJ-07-2017-0210Richard, P. J., Devinney, T. M., Yip, G. S., & Johnson, G. (2009). Measuring organizational performance: Towards methodological best practice. Journal of Management, 35(3), 718–804. https://doi.org/10.1177/0149206308330560Rollins, M., Bellenger, D. N., & Johnston, W. J. (2012). Customer information utilization in business-to-business markets: Muddling through process? Journal of Business Research.Romero, J., Matamoros, S., & Campo, C. A. (2013). On organizational change. A Literature Review. Innovar, 23(50), 35–52. Retrieved from https://www.scopus.com/inward/record.uri?eid=2-s2.0-84888105093&partnerID=40&md5=6a4b9bc90277ad4b433f1a4d312ececeSambamurthy, V., Bharadwaj, A., Grover, V., Bennett, J., Perrewé, P. L., Kane, G. C., … Performance, W. (2003). Shaping Agility through Digital Options: Reconceptualizing the Role of Information Technology in Contemporary Firms. MIS Quarterly, 27(2), 237–263. https://doi.org/10.2307/30036530Sandoval Duque, J. L. (2014). Los procesos de cambio organizacional y la generación de valor. Organizational Change Processes and Value Creation.Santoro, G., Fiano, F., Bertoldi, B., & Ciampi, F. (2018, September 12). Big data for business management in the retail industry. Management Decision. https://doi.org/10.1108/MD-07-2018-0829Santoro, G., Vrontis, D., Thrassou, A., & Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.02.034SCE-Cisco-IBM Sgra Team_2011. (2011). Smart Grid Reference Architecture. International Business, 1, 1–118.Schallmo, D., Williams, C. A., & Boardman, L. (2017). Digital Transformation of Business Models — Best Practice, Enablers, and Roadmap. International Journal of Innovation Management, 21(08), 1740014. https://doi.org/10.1142/S136391961740014XSklyar, A., Kowalkowski, C., Tronvoll, B., & Sörhammar, D. (2019). Organizing for digital servitization: A service ecosystem perspective. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2019.02.012Teece, D. J. (2007). Explicating dynamic capabilities: the nature and microfoundations of (sustainable) enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640Valentin, B. A. (2017). Methods of Assessment and Training of a Company Towards the Enterprise 4.0. Proceedings of the 28th DAAAM International Symposium, 28, 1065–1073. https://doi.org/10.2507/28th.daaam.proceedings.148Van Eck, N. J., & Waltman, L. (2013). {VOSviewer} manual. Leiden: Univeristeit Leiden, (September). Retrieved from http://www.vosviewer.com/documentation/Manual_VOSviewer_1.6.1.pdfVial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003Wade, & Hulland. (2004). Review: The Resource-Based View and Information Systems Research: Review, Extension, and Suggestions for Future Research. MIS Quarterly, 28(1), 107. https://doi.org/10.2307/25148626Warner, K. S. R., & Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001Whitten, G. D., Kenneth, W. G., & Zelbst, P. J. (2012). Triple-A supply chain performance. International Journal of Operations and Production Management, 32(1), 28–48. https://doi.org/10.1108/01443571211195727Zollo, M., & Winter, S. G. (2002). Deliberate learning and the evolution of dynamic capabilities. Organization Science.ORIGINALTesis MSc_Transformación Digital_JARG_Rev_I.pdfTesis MSc_Transformación Digital_JARG_Rev_I.pdfapplication/pdf3166360https://repositorio.unal.edu.co/bitstream/unal/77839/1/Tesis%20MSc_Transformaci%c3%b3n%20Digital_JARG_Rev_I.pdfe1803efb57d20e22a17befd668c69a1bMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.unal.edu.co/bitstream/unal/77839/3/license_rdf42fd4ad1e89814f5e4a476b409eb708cMD53LICENSElicense.txtlicense.txttext/plain; charset=utf-83991https://repositorio.unal.edu.co/bitstream/unal/77839/2/license.txt6f3f13b02594d02ad110b3ad534cd5dfMD52THUMBNAILTesis MSc_Transformación Digital_JARG_Rev_I.pdf.jpgTesis MSc_Transformación Digital_JARG_Rev_I.pdf.jpgGenerated Thumbnailimage/jpeg5080https://repositorio.unal.edu.co/bitstream/unal/77839/4/Tesis%20MSc_Transformaci%c3%b3n%20Digital_JARG_Rev_I.pdf.jpg94d5b511f0b030013a68b136084358b5MD54unal/77839oai:repositorio.unal.edu.co:unal/778392023-07-21 23:03:59.137Repositorio Institucional Universidad Nacional de Colombiarepositorio_nal@unal.edu.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

Publicaciones similares