Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano.
En el entorno competitivo actual, las organizaciones enfrentan el desafío de alinear sus estrategias de negocio con tácticas de datos efectivas para maximizar el valor generado a partir de sus activos informacionales. Esta convergencia es especialmente relevante en el sector financiero, donde el uso...
- Autores:
-
Neira Ávila, Tito Pablo
- Tipo de recurso:
- Doctoral thesis
- Fecha de publicación:
- 2024
- Institución:
- Universidad de los Andes
- Repositorio:
- Séneca: repositorio Uniandes
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.uniandes.edu.co:1992/75436
- Acceso en línea:
- https://hdl.handle.net/1992/75436
- Palabra clave:
- Estrategia de datos
Generación de valor
Sector bancario
América Latina
Competitividad
Inteligencia artificial
Data Strategy
Value Creation
Banking Sector
Latin America
Competitiveness
Artificial Intelligence
Administración
Ingeniería
Diseño
- Rights
- embargoedAccess
- License
- Attribution-NonCommercial-NoDerivatives 4.0 International
| id |
UNIANDES2_37f0651a1aa3303cf19c5d4e5dcddb8f |
|---|---|
| oai_identifier_str |
oai:repositorio.uniandes.edu.co:1992/75436 |
| network_acronym_str |
UNIANDES2 |
| network_name_str |
Séneca: repositorio Uniandes |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| dc.title.alternative.eng.fl_str_mv |
Determinants of the Effectiveness of Data Strategies in Companies: Evidence from the Colombian Banking Sector |
| title |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| spellingShingle |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. Estrategia de datos Generación de valor Sector bancario América Latina Competitividad Inteligencia artificial Data Strategy Value Creation Banking Sector Latin America Competitiveness Artificial Intelligence Administración Ingeniería Diseño |
| title_short |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| title_full |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| title_fullStr |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| title_full_unstemmed |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| title_sort |
Factores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano. |
| dc.creator.fl_str_mv |
Neira Ávila, Tito Pablo |
| dc.contributor.advisor.none.fl_str_mv |
Vesga Fajardo, Rafael Augusto |
| dc.contributor.author.none.fl_str_mv |
Neira Ávila, Tito Pablo |
| dc.contributor.jury.none.fl_str_mv |
Dakduk, Silvana Albir, Ana Cruz, Juan Francisco Vela, Santiago De |
| dc.subject.keyword.spa.fl_str_mv |
Estrategia de datos |
| topic |
Estrategia de datos Generación de valor Sector bancario América Latina Competitividad Inteligencia artificial Data Strategy Value Creation Banking Sector Latin America Competitiveness Artificial Intelligence Administración Ingeniería Diseño |
| dc.subject.keyword.none.fl_str_mv |
Generación de valor Sector bancario América Latina Competitividad Inteligencia artificial Data Strategy Value Creation Banking Sector Latin America Competitiveness Artificial Intelligence |
| dc.subject.themes.none.fl_str_mv |
Administración Ingeniería Diseño |
| description |
En el entorno competitivo actual, las organizaciones enfrentan el desafío de alinear sus estrategias de negocio con tácticas de datos efectivas para maximizar el valor generado a partir de sus activos informacionales. Esta convergencia es especialmente relevante en el sector financiero, donde el uso estratégico de datos puede transformar la toma de decisiones, mejorar la eficiencia operativa e impulsar la innovación. Sin embargo, la implementación exitosa de estas prácticas se enfrenta a numerosos desafíos técnicos, organizacionales y culturales que pueden influir significativamente en su desemvpeño.Este trabajo doctoral examina estos desafíos mediante un estudio detallado de caso en el Grupo Aval, uno de los conglomerados financieros más grandes de América Latina. El objetivo principal es identificar y analizar los factores que afectan el éxito de las estrategias de datos. A través de un enfoque metodológico mixto, en donde se combinan la investigación cualitativa y cuantitativa, esta revela cómo la calidad de los datos, la tecnología, el liderazgo, la cultura organizacional y la colaboración impactan directamente en el desempeño de las iniciativas de datos, determinando su capacidad para generar valor.La contribución principal de esta tesis radica en la integración clara y práctica de la estrategia de datos con la estrategia de negocio, demostrando cómo una alineación efectiva entre ambas puede potenciar el retorno de inversión y ofrecer ventajas competitivas. Este estudio proporciona una nueva perspectiva teórica sobre la relación entre factores técnicos y organizacionales y el desempeño en estrategias de datos y también aporta ideas prácticas para que organizaciones que buscan optimizar sus operaciones lo puedan hacer a través de un uso estratégico de los datos.Finalmente, esta investigación ofrece una contribución a la discusión académica al proponer un marco conceptual que define la estrategia de datos en un contexto específico y subraya su relevancia en el negocio. Este marco proporciona una guía para comprender cómo optimizar el valor de los datos en un entorno empresarial cada vez más digitalizado, competitivo y globalizado. |
| publishDate |
2024 |
| dc.date.issued.none.fl_str_mv |
2024-11-13 |
| dc.date.accessioned.none.fl_str_mv |
2025-01-16T13:06:10Z |
| dc.date.accepted.none.fl_str_mv |
2025/01/15 |
| dc.date.available.none.fl_str_mv |
2028-01-15 |
| dc.type.none.fl_str_mv |
Trabajo de grado - Doctorado |
| dc.type.driver.none.fl_str_mv |
info:eu-repo/semantics/doctoralThesis |
| dc.type.version.none.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| dc.type.coar.none.fl_str_mv |
http://purl.org/coar/resource_type/c_db06 |
| dc.type.content.none.fl_str_mv |
Text |
| dc.type.redcol.none.fl_str_mv |
https://purl.org/redcol/resource_type/TD |
| format |
http://purl.org/coar/resource_type/c_db06 |
| status_str |
acceptedVersion |
| dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/1992/75436 |
| dc.identifier.instname.none.fl_str_mv |
instname:Universidad de los Andes |
| dc.identifier.reponame.none.fl_str_mv |
reponame:Repositorio Institucional Séneca |
| dc.identifier.repourl.none.fl_str_mv |
repourl:https://repositorio.uniandes.edu.co/ |
| url |
https://hdl.handle.net/1992/75436 |
| identifier_str_mv |
instname:Universidad de los Andes reponame:Repositorio Institucional Séneca repourl:https://repositorio.uniandes.edu.co/ |
| dc.language.iso.none.fl_str_mv |
spa |
| language |
spa |
| dc.relation.references.none.fl_str_mv |
Alharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002 Alharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002 Anton, Eduard, Thuy Duong Oesterreich, Markus Aptyka, and Frank Teuteberg. 2023. “Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture.” Pacific Asia Journal of the Association for Information Systems 15(3). doi: 10.17705/1pais.15301. Alharthi, A., Krotov, N., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002 Alharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002. https://doi.org/10.1016/j.bushor.2017.01.002 Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187 Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187. Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187 Arner, Douglas W., Ross P. Buckley, and Dirk A. Zetzsche. 2022. “Open Banking, Open Data and Open Finance: Lessons from the European Union.” Open Banking. Amit, R, Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187 Boztepe, Suzan. 2007. “User Value: Competing Theories and Models.” International Journal of Design 1(2). Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301 Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301. Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., Venkatraman, N. (2013). Digital Business Strategy: Toward a next Generation of Insights. MIS Quarterly: Management Information Systems 37(2). https://doi.org/10.25300/MISQ/2013/37:2.3 Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301 Cappa, F., Oriani, R., Peruffo, E., McCarth, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545 Chen, Ying, Jeffrey Kreulen, Murray Campbell, and Carl Abrams. 2011. “Analytics Ecosystem Transformation: A Force for Business Model Innovation.” in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009 Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009 Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009 Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence in Encyclopedia of Mental Health, Third Edition: Vol. 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7 Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence. in Encyclopedia of Mental Health, Third Edition: Vol. 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7 Charpentier, A. (2020). Big Data, GAFA et Assurance. Annales Des Mines - Réalités Industrielles Févrir 2020(1). https://doi.org/10.3917/rindu1.201.0053 Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence in Encyclopedia of Mental Health, Third Edition: Volume 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7 Duan, Yanqing, Guangming Cao, and John S. Edwards. 2020. “Understanding the Impact of Business Analytics on Innovation.” European Journal of Operational Research 281(3). doi: 10.1016/j.ejor.2018.06.021. Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355 Fruhwirth, M., C. Ropposch, and V. Schindler. 2020. “Supporting Data-Driven Business Model Innovations: A Structured Literature Review on Tools and Mehods.” Journal of Business Models 8(1). Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355 Chen, Y, Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12 Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355 Lacković, Ivana Dvorski, Vladimir Kovšca, and Zrinka Lacković Vincek. 2020. “A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management.” Journal of Information and Organizational Sciences 44(2). Bakshi, K. (2012). Considerations for Big Data: Architecture and Approach in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357 Bakshi, K. (2012). “Considerations for Big Data: Architecture and Approach.” in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357 Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088 Bakshi, K. (2012). Considerations for Big Data: Architecture and Approach in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357 Minatogawa, Vinicius Luiz Ferraz, Matheus Munhoz Vieira Franco, Izabela Simon Rampasso, Rosley Anholon, Ruy Quadros, Orlando Durán, and Antonio Batocchio. 2020. “Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations.” Sustainability (Switzerland) 12(1). doi: 10.3390/su12010277. Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6 Comuzzi, M., Patel, A. (2016). How Organizations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495 Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6 Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6 Roden, S., A. Nucciarelli, F. Li, and G. Graham. 2017. “Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda.” Production Planning and Control 28(11–12). doi: 10.1080/09537287.2017.1336792. Davenport, T. H. (2018). From Analytics to Artificial Intelligence. Journal of Business Analytics 1(2). https://doi.org/10.1080/2573234X.2018.1543535 Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486 Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486 Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486 Sharma, Rajeev, Sunil Mithas, and Atreyi Kankanhalli. 2014. “Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations.” European Journal of Information Systems 23(4). Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/ijbdm.2020.106876 Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/IJBDM.2020.106876 Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1). Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/IJBDM.2020.106876 Zolnowski, Andreas, Towe Christiansen, and Jan Gudat. 2016. “Business Model Transformation Patterns of Data-Driven Innovations.” in 24th European Conference on Information Systems, ECIS 2016. Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021 Canedo, E., Dias, A., Seidel Calazans, T., Sousa Silva, G., Teixeira Costa, P. H., Toffano Seidel Masson, E. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3). Canedo, E. D, Seidel Calazans, A. T., Ramos Sousa Silva, G., Teixeira Costa, P. H., Seidel Masson, E. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3). Canedo, E. D., Seidel Calazans, A. T., Ramos Sousa Silva, E., Teixeira Costa, P. H., Seidel Masson, E. T. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3). Cappa, F., Oriani, R., Peruffo, E., McCarthy, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545 Elia, G., Raguseo, E., Solazzo, G., Pigni, F. (2022). Strategic Business Value from Big Data Analytics: An Empirical Analysis of the Mediating Effects of Value Creation Mechanisms. Information and Management 59(8). https://doi.org/10.1016/j.im.2022.103701 Cappa, F, Oriani, R., Peruffo, E., McCarthy. I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance”.Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545 Cappa, F., Oriani, R., Peruffo, E., McCarthy, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545. Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238 Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238 Ellström, D, Holtstrom, J., Berg, E., Johansson, C. (2021). Dynamic Capabilities for Digital Transformation. Journal of Strategy and Management. https://doi.org/10.1108/JSMA-04-2021-0089 Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238 Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12 Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). “Analytics Ecosystem Transformation: A Force for Business Model Innovation.” in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12 Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12 Fitzgerald, M, Kruschwitz, N., Bonnet, D., Welch, M. (2013). Embracing Digital Technology: A New Strategic Imperative | Capgemini Consulting Worldwide. MIT Sloan Management Review 55(1). Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088 Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088 Gómez, Y., Cánovas, A., Saura, A.C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1), 47–53. https://doi.org/10.3233/SJI-220114 Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088. Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495. Hess, T, Matt, C., Benlian, A., Wiesböck, F. (2019). Options for Formulating a Digital Transformation Strategy. MIS Quarterly E 15(2). https://doi.org/10.4324/9780429286797-7 Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495 Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495 Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas.” Enseñanza e investigación en psicología 22(1). Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas. Enseñanza e investigación en psicología 22(1). Kitchenham, B. (2004). Procedures for Performing Systematic Reviews Barbara Kitchenham. Annals of Saudi Medicine 37(1). Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas. Enseñanza e investigación en psicología 22(1). Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June). Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June). Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June). Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10 Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st. Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st. Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2 Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st. Dam, R. F., Yu Siang, T. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29. Dam, R. F., Yu Siang, T. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29. Dam, R. F., Siang, T. Y. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29. Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010 Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1). Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024 Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1). Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1). Newell, S., Marabelli, M. (2015). Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’. Journal of Strategic Information Systems 24(1). https://doi.org/10.1016/j.jsis.2015.02.001 Dhirasasna, N, Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042 Dhirasasna, N., Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042 Dhirasasna, N, Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042 Nwankpa, J. K., Roumani, Y. (2016). IT Capability and Digital Transformation: A Firm Performance Perspective in 2016 International Conference on Information Systems, ICIS 2016. Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021 Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021 Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021 Quach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6), 1299–1323. https://doi.org/10.1007/s11747-022-00845-y Dzhumashev, R., Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143 Dzhumashev, R., Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143 Dzhumashev, R, Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143 Fisher, John M. 2012. “The Process of Personal Transition (Fisher’s Personal Transition Curve).” Human Resource Development International Journal 2012(Revised). Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792 Fisher, J. M. (2012). The Process of Personal Transition (Fisher’s Personal Transition Curve). Human Resource Development International Journal 2012 (Revised). Fisher, J. M. (2012). The Process of Personal Transition (Fisher’s Personal Transition Curve). Human Resource Development International Journal 2012(Revised). Flores Arocutipa, J. P., Manrique Nugent, M. A. L., Serna Silva, G. J., Aybar Bellido, I E. (2021). Liderazgo en tiempos de 4ta revolución industrial.” Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7 Sandberg, B., Aarikka-Stenroos, L. (2014). What Makes It So Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003 Flores Arocutipa, J. P., Manrique Nugent M. A. L., Serna Silva, G. J., Aybar Bellido, I. E. (2021). Liderazgo en tiempos de 4ta revolución industrial. Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7 Flores Arocutipa, J. P, Manrique Nugent, M. A. L., Serna Silva, G. J., Aybar Bellido, I. A. (2021). Liderazgo en tiempos de 4ta revolución industrial. Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7 García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414 García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414 García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414 Schoemaker, P. J. H., Heaton, S., Teece, D. (2018). Innovation, Dynamic Capabilities, and Leadership. California Management Review 61(1). https://doi.org/10.1177/0008125618790246 Gómez, Y., Cánovas, A., Saura, A. C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1):47–53. https://doi.org/10.3233/SJI-220114 Sharma, R, Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17 Gómez, Y., Cánovas, A., Saura, A. C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1), 47–53. https://doi.org/10.3233/SJI-220114 Gómez, Y., Cánovas, A., Saura, A.C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1):47–53. https://doi.org/10.3233/SJI-220114 Shollo, A., Hopf, K., Thiess, T., Müller, O. (2022). Shifting ML Value Creation Mechanisms: A Process Model of ML Value Creation. Journal of Strategic Information Systems 31(3). https://doi.org/10.1016/j.jsis.2022.101734 Grant, M. J., Booth, A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.x Grant, M. J., Booth, A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.x Grant, M. J., Booth. A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.x Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004 Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo. Revista Andaluza de Antropología 9(19). Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo. Revista Andaluza de Antropología 9(19). Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo.” Revista andaluza de antropología 9(19). Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108 Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108. Vial, G. (2019). Understanding Digital Transformation: A Review and a Research Agenda. Journal of Strategic Information Systems 28(2). https://doi.org/10.1016/j.jsis.2019.01.003 Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108 Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398 Kotronoulas, Grigorios, S. M., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E. Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398 Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E. Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398 Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4). Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7 Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7 Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7 Ylijoki, O., Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082 Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047 Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047 Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047 Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043 Zahra, S. A., Nambisan, S. (2012). Entrepreneurship and Strategic Thinking in Business Ecosystems. Business Horizons 55(3). https://doi.org/10.1016/j.bushor.2011.12.004 López Martínez, P., Dintén,R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020 López Martínez, P., Dintén, R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020 López Martínez, P, Dintén, R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020 Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10 Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10 Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10 Macías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-y Macías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-y Macías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-y Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2 Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2 Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2 Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648 Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648 Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648 Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010 Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010 Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010 Merino, J. I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024 Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024 Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024 Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6 Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6 Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6 Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI. in DAAAM International Scientific Book 2009. https://doi.org/10.2507/daaam.scibook.2009.15 Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI in DAAAM International Scientific Book. https://doi.org/10.2507/daaam.scibook.2009.15 Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI in DAAAM International Scientific Book. https://doi.org/10.2507/daaam.scibook.2009.15 Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19 Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19 Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19 Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 – 157. ISSN 1646-9895 Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 - 157. ISSN 1646-9895 Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 - 157. ISSN 1646-9895 Osorio Rodríguez, A, Martinez Lopez, M. (2013). Guía Práctica Para Arquitecturas de Datos Empresariales. Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013). Osorio Rodríguez, A., Martinez Lopez, M. (2013). Guía Práctica Para Arquitecturas de Datos Empresariales. Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013). Osorio Rodríguez, Alain, and Mairelys Martinez Lopez. 2013. “Guía Práctica Para Arquitecturas de Datos Empresariales.” Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013). Quach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6), 1299–1323. https://doi.org/10.1007/s11747-022-00845-y Quach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6):1299–1323. doi: 10.1007/s11747-022-00845-y. Quach, S., P. Thaichon, K. D. Martin, S. Weaven, and R. W. Palmatier. 2022. “Digital Technologies: Tensions in Privacy and Data.” Journal of the Academy of Marketing Science 50(6):1299–1323. https://doi.org/10.1007/s11747-022-00845-y Raffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De. Raffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De. Raffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De. Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792 Roden, S., Nucciarelli, A., Li, F., Graham, G. (20179. Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792 Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792 Romero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development. Researchgate. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENT Romero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development in Happiness management and creativity in the XXI Century: intangible capitals as a source of innovation, competitiveness and sustainable development (pp.55-69) Editorial Comares. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENT Romero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENT Sandberg, B, Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003 Sandberg, B., Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003 Sandberg, B, Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003 Sandoval Ramos, S. J, Armijos Romero, D. A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760 Sandoval Ramos, S. J, Armijos Romero, D. A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760 Sandoval Ramos, S. J., Armijos Romero, D A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760 Schröer, C., Kruse, F., Gómez, J .M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model. Procedia Computer Science, 181. https://doi.org/10.1016/j.procs.2021.01.199 Schröer, C., Kruse, F., Gómez, J. M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model. Procedia Computer Science. Vol. 181. https://doi.org/10.1016/j.procs.2021.01.199 Schröer, C., Kruse, F., Gómez, J. M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model in Procedia Computer Science. Vol. 181. https://doi.org/10.1016/j.procs.2021.01.199 Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12 Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12 Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12 Sharma, R. , Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17 Sharma, R., Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17 Sharma, R., Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17 Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050 Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050 Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050 Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials. Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials. Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials. Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004 Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004 Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004 Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443 Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443 Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443 Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681 Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681 Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681 Watzlawick, P., Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802 Watzlawick, P., Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802 Watzlawick, P, Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802 Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4). Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4). Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4). Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography, vols. 1–12. Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography. Vols. 1–12. Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography: Volume 1-12. Yin, R. K. (2012). Yin , Robert K : Case Study Research . Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101 Yin, R. K. (2012). Yin, Robert K.: Case Study Research. Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101 Yin, R. K. (2012). Yin, Robert K.: Case Study Research. Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101 Ylijoki, O, Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082 Ylijoki, O., Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082 Ylijoki, O, Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082 Yuxi, Z., Mengjie. S. (2020). Research on Data-Driven Business Model Innovation. Advances in Social Science, Education and Humanities Research https://doi.org/10.2991/assehr.k.201023.043 Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043 Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043 |
| dc.rights.en.fl_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International |
| dc.rights.uri.none.fl_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
| dc.rights.accessrights.none.fl_str_mv |
info:eu-repo/semantics/embargoedAccess |
| dc.rights.coar.none.fl_str_mv |
http://purl.org/coar/access_right/c_f1cf |
| rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/ http://purl.org/coar/access_right/c_f1cf |
| eu_rights_str_mv |
embargoedAccess |
| dc.format.extent.none.fl_str_mv |
114 páginas |
| dc.format.mimetype.none.fl_str_mv |
application/pdf |
| dc.publisher.none.fl_str_mv |
Universidad de los Andes |
| dc.publisher.program.none.fl_str_mv |
Doctorado en Gestión de la Innovación Tecnológica |
| dc.publisher.faculty.none.fl_str_mv |
Nodo de Innovación |
| publisher.none.fl_str_mv |
Universidad de los Andes |
| institution |
Universidad de los Andes |
| bitstream.url.fl_str_mv |
https://repositorio.uniandes.edu.co/bitstreams/45a6d0b3-2bce-47b4-91f3-052f7b1aee94/download https://repositorio.uniandes.edu.co/bitstreams/4e56cf85-1dcc-46ee-a010-bd69f48a792a/download https://repositorio.uniandes.edu.co/bitstreams/5c5fc0e0-986f-4e0a-af36-2abb5658ed5a/download https://repositorio.uniandes.edu.co/bitstreams/416ab4bd-6881-40b5-bbb2-913746e1cbd1/download https://repositorio.uniandes.edu.co/bitstreams/fdb0a711-92a1-4bfe-9137-c2e10fff3776/download https://repositorio.uniandes.edu.co/bitstreams/fad8321f-49a7-45f6-af5c-bed5d57d315c/download https://repositorio.uniandes.edu.co/bitstreams/1dfe23cb-689c-4f37-82e6-696e5f04fd60/download https://repositorio.uniandes.edu.co/bitstreams/c24eef5e-cf50-45f1-aa4d-6b5b68fcfd75/download |
| bitstream.checksum.fl_str_mv |
ae9e573a68e7f92501b6913cc846c39f f2f917a3531c6569983d2da4f22b3346 d51af5260673617c24a44a41fe97b847 4460e5956bc1d1639be9ae6146a50347 b196cf7188a072c9584e865108c5fa8d 8a4a31b14bf30e79bcf3da5e6f249c80 05eb00340d23e41795a4ae0c00277182 efa22c90c4cb732381c21a4dc0527f54 |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio institucional Séneca |
| repository.mail.fl_str_mv |
adminrepositorio@uniandes.edu.co |
| _version_ |
1828159298809626624 |
| spelling |
Vesga Fajardo, Rafael Augustovirtual::22128-1Neira Ávila, Tito PabloDakduk, SilvanaAlbir, AnaCruz, JuanFrancisco Vela, Santiago De2025-01-16T13:06:10Z2028-01-152024-11-132025/01/15https://hdl.handle.net/1992/75436instname:Universidad de los Andesreponame:Repositorio Institucional Sénecarepourl:https://repositorio.uniandes.edu.co/En el entorno competitivo actual, las organizaciones enfrentan el desafío de alinear sus estrategias de negocio con tácticas de datos efectivas para maximizar el valor generado a partir de sus activos informacionales. Esta convergencia es especialmente relevante en el sector financiero, donde el uso estratégico de datos puede transformar la toma de decisiones, mejorar la eficiencia operativa e impulsar la innovación. Sin embargo, la implementación exitosa de estas prácticas se enfrenta a numerosos desafíos técnicos, organizacionales y culturales que pueden influir significativamente en su desemvpeño.Este trabajo doctoral examina estos desafíos mediante un estudio detallado de caso en el Grupo Aval, uno de los conglomerados financieros más grandes de América Latina. El objetivo principal es identificar y analizar los factores que afectan el éxito de las estrategias de datos. A través de un enfoque metodológico mixto, en donde se combinan la investigación cualitativa y cuantitativa, esta revela cómo la calidad de los datos, la tecnología, el liderazgo, la cultura organizacional y la colaboración impactan directamente en el desempeño de las iniciativas de datos, determinando su capacidad para generar valor.La contribución principal de esta tesis radica en la integración clara y práctica de la estrategia de datos con la estrategia de negocio, demostrando cómo una alineación efectiva entre ambas puede potenciar el retorno de inversión y ofrecer ventajas competitivas. Este estudio proporciona una nueva perspectiva teórica sobre la relación entre factores técnicos y organizacionales y el desempeño en estrategias de datos y también aporta ideas prácticas para que organizaciones que buscan optimizar sus operaciones lo puedan hacer a través de un uso estratégico de los datos.Finalmente, esta investigación ofrece una contribución a la discusión académica al proponer un marco conceptual que define la estrategia de datos en un contexto específico y subraya su relevancia en el negocio. Este marco proporciona una guía para comprender cómo optimizar el valor de los datos en un entorno empresarial cada vez más digitalizado, competitivo y globalizado.In today’s competitive environment, organizations face the challenge of aligning their business strategies with effective data-driven tactics to maximize the value generated from their informational assets. This convergence is particularly relevant in the financial sector, where the strategic use of data can transform decision-making, enhance operational efficiency, and drive innovation. However, the successful implementation of such practices encounters numerous technical, organizational, and cultural challenges that can significantly influence their performance. This doctoral research examines these challenges through a detailed case study of Grupo Aval, one of the largest financial conglomerates in Latin America. The primary objective is to identify and analyze the factors that affect the success of data strategies. Using a mixed-methods approach that combines qualitative and quantitative research, the study reveals how data quality, technology, leadership, organizational culture, and collaboration directly impact the performance of data initiatives, shaping their ability to generate value. The main contribution of this thesis lies in the clear and practical integration of data strategy with business strategy, demonstrating how effective alignment between the two can enhance return on investment and provide competitive advantages. This study offers a novel theoretical perspective on the relationship between technical and organizational factors and the performance of data strategies. It also provides practical insights for organizations seeking to optimize their operations through the strategic use of data. Finally, this research contributes to the academic discourse by proposing a conceptual framework that defines data strategy in a specific context and highlights its business relevance. This framework serves as a guide for understanding how to optimize the value of data in an increasingly digitalized, competitive, and globalized business environment.ADL DIGITAL LABDoctoradoGeneración de valor empresarial mediante el uso de datos e inteligencia artifical114 páginasapplication/pdfspaUniversidad de los AndesDoctorado en Gestión de la Innovación TecnológicaNodo de InnovaciónAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/embargoedAccesshttp://purl.org/coar/access_right/c_f1cfFactores determinantes de la eficacia de las estrategias de datos en empresas: Evidencia del sector bancario colombiano.Determinants of the Effectiveness of Data Strategies in Companies: Evidence from the Colombian Banking SectorTrabajo de grado - Doctoradoinfo:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/acceptedVersionhttp://purl.org/coar/resource_type/c_db06Texthttps://purl.org/redcol/resource_type/TDEstrategia de datosGeneración de valorSector bancarioAmérica LatinaCompetitividadInteligencia artificialData StrategyValue CreationBanking SectorLatin AmericaCompetitivenessArtificial IntelligenceAdministraciónIngenieríaDiseñoAlharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002Alharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002Anton, Eduard, Thuy Duong Oesterreich, Markus Aptyka, and Frank Teuteberg. 2023. “Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture.” Pacific Asia Journal of the Association for Information Systems 15(3). doi: 10.17705/1pais.15301.Alharthi, A., Krotov, N., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002Alharthi, A., Krotov, V., Bowman, M. (2017). Addressing Barriers to Big Data. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.002. https://doi.org/10.1016/j.bushor.2017.01.002Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187.Amit, R., Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187Arner, Douglas W., Ross P. Buckley, and Dirk A. Zetzsche. 2022. “Open Banking, Open Data and Open Finance: Lessons from the European Union.” Open Banking.Amit, R, Zott, C. (2001). Value Creation in E-Business. Strategic Management Journal 22(6–7). https://doi.org/10.1002/smj.187Boztepe, Suzan. 2007. “User Value: Competing Theories and Models.” International Journal of Design 1(2).Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301.Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., Venkatraman, N. (2013). Digital Business Strategy: Toward a next Generation of Insights. MIS Quarterly: Management Information Systems 37(2). https://doi.org/10.25300/MISQ/2013/37:2.3Anton, E., Oesterreich, T. D., Aptyka, M., Teuteberg, F. (2023). Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture. Pacific Asia Journal of the Association for Information Systems 15(3). https://doi.org/10.17705/1pais.15301Cappa, F., Oriani, R., Peruffo, E., McCarth, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545Chen, Ying, Jeffrey Kreulen, Murray Campbell, and Carl Abrams. 2011. “Analytics Ecosystem Transformation: A Force for Business Model Innovation.” in Proceedings - 2011 Annual SRII Global Conference, SRII 2011.Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009Arner, D. W., Buckley, R. P., Zetzsche, D. A. (2022). Open Banking, Open Data and Open Finance: Lessons from the European Union. Open Banking. https://doi.org/10.1093/oso/9780197582879.003.0009Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence in Encyclopedia of Mental Health, Third Edition: Vol. 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence. in Encyclopedia of Mental Health, Third Edition: Vol. 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7Charpentier, A. (2020). Big Data, GAFA et Assurance. Annales Des Mines - Réalités Industrielles Févrir 2020(1). https://doi.org/10.3917/rindu1.201.0053Ashkanasy, N. M., Battel, A. (2023). Emotional Intelligence in Encyclopedia of Mental Health, Third Edition: Volume 1. https://doi.org/10.1016/B978-0-323-91497-0.00035-7Duan, Yanqing, Guangming Cao, and John S. Edwards. 2020. “Understanding the Impact of Business Analytics on Innovation.” European Journal of Operational Research 281(3). doi: 10.1016/j.ejor.2018.06.021.Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355Fruhwirth, M., C. Ropposch, and V. Schindler. 2020. “Supporting Data-Driven Business Model Innovations: A Structured Literature Review on Tools and Mehods.” Journal of Business Models 8(1).Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355Chen, Y, Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12Audrin, C., Audrin, B. (2023). More than Just Emotional Intelligence Online: Introducing ‘Digital Emotional Intelligence’. Frontiers in Psychology 14. https://doi.org/10.3389/fpsyg.2023.1154355Lacković, Ivana Dvorski, Vladimir Kovšca, and Zrinka Lacković Vincek. 2020. “A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management.” Journal of Information and Organizational Sciences 44(2).Bakshi, K. (2012). Considerations for Big Data: Architecture and Approach in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357Bakshi, K. (2012). “Considerations for Big Data: Architecture and Approach.” in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088Bakshi, K. (2012). Considerations for Big Data: Architecture and Approach in IEEE Aerospace Conference Proceedings. https://doi.org/10.1109/AERO.2012.6187357Minatogawa, Vinicius Luiz Ferraz, Matheus Munhoz Vieira Franco, Izabela Simon Rampasso, Rosley Anholon, Ruy Quadros, Orlando Durán, and Antonio Batocchio. 2020. “Operationalizing Business Model Innovation through Big Data Analytics for Sustainable Organizations.” Sustainability (Switzerland) 12(1). doi: 10.3390/su12010277.Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6Comuzzi, M., Patel, A. (2016). How Organizations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6Bisinella, V., Christensen, T. H., Astrup, T. F. (2021). Future Scenarios and Life Cycle Assessment: Systematic Review and Recommendations. International Journal of Life Cycle Assessment 26(11). https://doi.org/10.1007/s11367-021-01954-6Roden, S., A. Nucciarelli, F. Li, and G. Graham. 2017. “Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda.” Production Planning and Control 28(11–12). doi: 10.1080/09537287.2017.1336792.Davenport, T. H. (2018). From Analytics to Artificial Intelligence. Journal of Business Analytics 1(2). https://doi.org/10.1080/2573234X.2018.1543535Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486Boeije, H. (2002). A Purposeful Approach to the Constant Comparative Method in the Analysis of Qualitative Interviews. Quality and Quantity 36(4). https://doi.org/10.1023/A:1020909529486Sharma, Rajeev, Sunil Mithas, and Atreyi Kankanhalli. 2014. “Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations.” European Journal of Information Systems 23(4).Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/ijbdm.2020.106876Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/IJBDM.2020.106876Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1).Camilleri, M. A. (2020). The Use of Data-Driven Technologies for Customer-Centric Marketing. International Journal of Big Data Management 1(1). https://doi.org/10.1504/IJBDM.2020.106876Zolnowski, Andreas, Towe Christiansen, and Jan Gudat. 2016. “Business Model Transformation Patterns of Data-Driven Innovations.” in 24th European Conference on Information Systems, ECIS 2016.Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021Canedo, E., Dias, A., Seidel Calazans, T., Sousa Silva, G., Teixeira Costa, P. H., Toffano Seidel Masson, E. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3).Canedo, E. D, Seidel Calazans, A. T., Ramos Sousa Silva, G., Teixeira Costa, P. H., Seidel Masson, E. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3).Canedo, E. D., Seidel Calazans, A. T., Ramos Sousa Silva, E., Teixeira Costa, P. H., Seidel Masson, E. T. (2023). Use of Journey Maps and Personas in Software Requirements Elicitation. International Journal of Software Engineering and Knowledge Engineering 33(3).Cappa, F., Oriani, R., Peruffo, E., McCarthy, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545Elia, G., Raguseo, E., Solazzo, G., Pigni, F. (2022). Strategic Business Value from Big Data Analytics: An Empirical Analysis of the Mediating Effects of Value Creation Mechanisms. Information and Management 59(8). https://doi.org/10.1016/j.im.2022.103701Cappa, F, Oriani, R., Peruffo, E., McCarthy. I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance”.Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545Cappa, F., Oriani, R., Peruffo, E., McCarthy, I. (2021). Big Data for Creating and Capturing Value in the Digitalized Environment: Unpacking the Effects of Volume, Variety, and Veracity on Firm Performance. Journal of Product Innovation Management 38(1). https://doi.org/10.1111/jpim.12545.Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238Ellström, D, Holtstrom, J., Berg, E., Johansson, C. (2021). Dynamic Capabilities for Digital Transformation. Journal of Strategy and Management. https://doi.org/10.1108/JSMA-04-2021-0089Cardona Triana, C. P., Trejos Parra, J. J. (2020). Programa de educación experiencial para mejorar el trabajo en equipo en las organizaciones. https://doi.org/10.22517/9789587224238Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). “Analytics Ecosystem Transformation: A Force for Business Model Innovation.” in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12Chen, Y., Kreulen, J., Campbell, M., Abrams, C. (2011). Analytics Ecosystem Transformation: A Force for Business Model Innovation in Proceedings - 2011 Annual SRII Global Conference, SRII 2011. https://doi.org/10.1109/SRII.2011.12Fitzgerald, M, Kruschwitz, N., Bonnet, D., Welch, M. (2013). Embracing Digital Technology: A New Strategic Imperative | Capgemini Consulting Worldwide. MIT Sloan Management Review 55(1).Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088Gómez, Y., Cánovas, A., Saura, A.C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1), 47–53. https://doi.org/10.3233/SJI-220114Clarke, R. (2016). Big Data, Big Risks. Information Systems Journal 26(1). https://doi.org/10.1111/isj.12088.Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495.Hess, T, Matt, C., Benlian, A., Wiesböck, F. (2019). Options for Formulating a Digital Transformation Strategy. MIS Quarterly E 15(2). https://doi.org/10.4324/9780429286797-7Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495Comuzzi, M., Patel, A. (2016). How Organisations Leverage: Big Data: A Maturity Model. Industrial Management and Data Systems 116(8). https://doi.org/10.1108/IMDS-12-2015-0495Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas.” Enseñanza e investigación en psicología 22(1).Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas. Enseñanza e investigación en psicología 22(1).Kitchenham, B. (2004). Procedures for Performing Systematic Reviews Barbara Kitchenham. Annals of Saudi Medicine 37(1).Corrales, A., Quijano, N., Góngora, E. (2017). Empatía, comunicación asertiva y seguimiento de normas. Enseñanza e investigación en psicología 22(1).Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June).Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June).Creswell, J. W. (2017). John W, Creswell, Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. Journal of Social and Administrative Sciences 4(June).Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st.Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st.Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2Creswell, J. W., Plano, V., Clark, L. (2018). Designing and Conducting Mix Method Research. Vol. 1st.Dam, R. F., Yu Siang, T. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29.Dam, R. F., Yu Siang, T. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29.Dam, R. F., Siang, T. Y. (2020). Empathy Map – Why and How to Use It. The Interaction Design Foundation 29.Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1).Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1).Davenport, T. H., Barth, P., Bean, R. (2012). How ‘big Data’ Is Different. MIT Sloan Management Review 54(1).Newell, S., Marabelli, M. (2015). Strategic Opportunities (and Challenges) of Algorithmic Decision-Making: A Call for Action on the Long-Term Societal Effects of ‘Datification’. Journal of Strategic Information Systems 24(1). https://doi.org/10.1016/j.jsis.2015.02.001Dhirasasna, N, Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042Dhirasasna, N., Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042Dhirasasna, N, Sahin, O. (2019). A Multi-Methodology Approach to Creating a Causal Loop Diagram. Systems 7(3). https://doi.org/10.3390/systems7030042Nwankpa, J. K., Roumani, Y. (2016). IT Capability and Digital Transformation: A Firm Performance Perspective in 2016 International Conference on Information Systems, ICIS 2016.Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021Duan, Y., Cao, G., Edwards, J. S. (2020). Understanding the Impact of Business Analytics on Innovation. European Journal of Operational Research 281(3). https://doi.org/10.1016/j.ejor.2018.06.021Quach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6), 1299–1323. https://doi.org/10.1007/s11747-022-00845-yDzhumashev, R., Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143Dzhumashev, R., Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143Dzhumashev, R, Tursunalieva, A. (2019). Synthetic Instrumental Variables. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3370143Fisher, John M. 2012. “The Process of Personal Transition (Fisher’s Personal Transition Curve).” Human Resource Development International Journal 2012(Revised).Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792Fisher, J. M. (2012). The Process of Personal Transition (Fisher’s Personal Transition Curve). Human Resource Development International Journal 2012 (Revised).Fisher, J. M. (2012). The Process of Personal Transition (Fisher’s Personal Transition Curve). Human Resource Development International Journal 2012(Revised).Flores Arocutipa, J. P., Manrique Nugent, M. A. L., Serna Silva, G. J., Aybar Bellido, I E. (2021). Liderazgo en tiempos de 4ta revolución industrial.” Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7Sandberg, B., Aarikka-Stenroos, L. (2014). What Makes It So Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003Flores Arocutipa, J. P., Manrique Nugent M. A. L., Serna Silva, G. J., Aybar Bellido, I. E. (2021). Liderazgo en tiempos de 4ta revolución industrial. Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7Flores Arocutipa, J. P, Manrique Nugent, M. A. L., Serna Silva, G. J., Aybar Bellido, I. A. (2021). Liderazgo en tiempos de 4ta revolución industrial. Revista Venezolana de Gerencia 26(96). https://doi.org/10.52080/rvgluz.26.96.7García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414García-Díaz, C., Olaya, C. (2017). Introduction: The Why, What and How of Social Systems Engineering. Social Systems Engineering: The Design of Complexity. https://doi.org/10.1002/9781118974414Schoemaker, P. J. H., Heaton, S., Teece, D. (2018). Innovation, Dynamic Capabilities, and Leadership. California Management Review 61(1). https://doi.org/10.1177/0008125618790246Gómez, Y., Cánovas, A., Saura, A. C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1):47–53. https://doi.org/10.3233/SJI-220114Sharma, R, Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17Gómez, Y., Cánovas, A., Saura, A. C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1), 47–53. https://doi.org/10.3233/SJI-220114Gómez, Y., Cánovas, A., Saura, A.C. (2022). Trusted Smart Statistics and the Need for New Ethical Principles. Statistical Journal of the IAOS 39(1):47–53. https://doi.org/10.3233/SJI-220114Shollo, A., Hopf, K., Thiess, T., Müller, O. (2022). Shifting ML Value Creation Mechanisms: A Process Model of ML Value Creation. Journal of Strategic Information Systems 31(3). https://doi.org/10.1016/j.jsis.2022.101734Grant, M. J., Booth, A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.xGrant, M. J., Booth, A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.xGrant, M. J., Booth. A. (2009). A Typology of Reviews: An Analysis of 14 Review Types and Associated Methodologies. Health Information and Libraries Journal 26(2). https://doi.org/10.1111/j.1471-1842.2009.00848.xSullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo. Revista Andaluza de Antropología 9(19).Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo. Revista Andaluza de Antropología 9(19).Hernández, K., Lesmes, A. (2017). La escucha activa como elemento necesario para el diálogo.” Revista andaluza de antropología 9(19).Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108.Vial, G. (2019). Understanding Digital Transformation: A Review and a Research Agenda. Journal of Strategic Information Systems 28(2). https://doi.org/10.1016/j.jsis.2019.01.003Hollweck, T. (2015). Robert K. Yin. (2014). Case Study Research Design and Methods (5th Ed.). Canadian Journal of Program Evaluation 30(1). https://doi.org/10.3138/cjpe.30.1.108Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E., Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398Kotronoulas, Grigorios, S. M., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E. Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398Kotronoulas, G., Miguel, S., Dowling, M., Fernández-Ortega, P., Colomer-Lahiguera, S., Bağçivan, G., Pape, E. Drury, A., Semple, C., Dieperink, K. B., Papadopoulou, C. (2023). An Overview of the Fundamentals of Data Management, Analysis, and Interpretation in Quantitative Research. Seminars in Oncology Nursing 39(2). https://doi.org/10.1016/j.soncn.2023.151398Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4).Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7Lacković, I. D., Kovšca, V., Lacković Vincek, Z. (2020). A Review of Selected Aspects of Big Data Usage in Banks’ Risk Management. Journal of Information and Organizational Sciences 44(2). https://doi.org/10.31341/jios.44.2.7Ylijoki, O., Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047Leavy, B. (2020). Stefan Thomke: The Power of Experimentation in the Digital Era. Strategy and Leadership 48(4). https://doi.org/10.1108/SL-03-2020-0047Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043Zahra, S. A., Nambisan, S. (2012). Entrepreneurship and Strategic Thinking in Business Ecosystems. Business Horizons 55(3). https://doi.org/10.1016/j.bushor.2011.12.004López Martínez, P., Dintén,R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020López Martínez, P., Dintén, R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020López Martínez, P, Dintén, R., Drake, J. M., Zorrilla, M. (2021). A Big Data-Centric Architecture Metamodel for Industry 4.0. Future Generation Computer Systems 125. https://doi.org/10.1016/j.future.2021.06.020Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10Lycett, M. (2013). ‘Datafication’: Making Sense of (Big) Data in a Complex World. European Journal of Information Systems 22(4). https://doi.org/10.1057/ejis.2013.10Macías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-yMacías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-yMacías, J. A., Culén, A. L. (2021). Enhancing Decision-Making in User-Centered Web Development: A Methodology for Card-Sorting Analysis. World Wide Web 24(6). https://doi.org/10.1007/s11280-021-00950-yMartin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2Martin, N., Matt, C., Niebel, C., Blind, K. (2019). How Data Protection Regulation Affects Startup Innovation. Information Systems Frontiers 21(6). https://doi.org/10.1007/s10796-019-09974-2Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648Martinez, J. (2022). Customer-Centric Framework: The Missing Link between Data and Business Value. Applied Marketing Analytics 7(4), 345–54. https://doi.org/10.69554/LDCR8648Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010Mazzei, M. J., Noble, D. (2017). Big Data Dreams: A Framework for Corporate Strategy. Business Horizons 60(3). https://doi.org/10.1016/j.bushor.2017.01.010Merino, J. I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024Merino, J., Caballero, I., Rivas, B., Serrano, M., Piattini, M. (2016). A Data Quality in Use Model for Big Data. Future Generation Computer Systems 63. https://doi.org/10.1016/j.future.2015.11.024Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6Mohanty, S., Jagadeesh, M., Srivatsa, H. (2013). Big Data Imperatives: Enterprise Big Data Warehouse, BI Implementations and Analytics. https://doi.org/10.1007/978-1-4302-4873-6Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI. in DAAAM International Scientific Book 2009. https://doi.org/10.2507/daaam.scibook.2009.15Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI in DAAAM International Scientific Book. https://doi.org/10.2507/daaam.scibook.2009.15Nagyova, A., Pacaiova, H. (2009). How to Build Manual for Key Performance Indicators – KPI in DAAAM International Scientific Book. https://doi.org/10.2507/daaam.scibook.2009.15Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19Nancarrow, S. A., Booth, A., Ariss, S., Smith, T., Enderby, P., Roots, A. (2013). Ten Principles of Good Interdisciplinary Team Work. Human Resources for Health 11(1). https://doi.org/10.1186/1478-4491-11-19Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 – 157. ISSN 1646-9895Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 - 157. ISSN 1646-9895Neira, T., Vesga, R. (2024). Factores que afectan la generación de valor en la estrategia de datos de las organizaciones. RISTI E72: 137 - 157. ISSN 1646-9895Osorio Rodríguez, A, Martinez Lopez, M. (2013). Guía Práctica Para Arquitecturas de Datos Empresariales. Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013).Osorio Rodríguez, A., Martinez Lopez, M. (2013). Guía Práctica Para Arquitecturas de Datos Empresariales. Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013).Osorio Rodríguez, Alain, and Mairelys Martinez Lopez. 2013. “Guía Práctica Para Arquitecturas de Datos Empresariales.” Eleventh LACCEI Latin American and Caribbean Conference for Engineering and Technology (LACCEI’2013).Quach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6), 1299–1323. https://doi.org/10.1007/s11747-022-00845-yQuach, S., Thaichon, P., Martin, K. D., Weaven, S., Palmatier, R. W. (2022). Digital Technologies: Tensions in Privacy and Data. Journal of the Academy of Marketing Science 50(6):1299–1323. doi: 10.1007/s11747-022-00845-y.Quach, S., P. Thaichon, K. D. Martin, S. Weaven, and R. W. Palmatier. 2022. “Digital Technologies: Tensions in Privacy and Data.” Journal of the Academy of Marketing Science 50(6):1299–1323. https://doi.org/10.1007/s11747-022-00845-yRaffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De.Raffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De.Raffino, M. E. (2019). Comunicación asertiva: concepto, tipos, técnicas y ejemplos.” Concepto.De.Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792Roden, S., Nucciarelli, A., Li, F., Graham, G. (20179. Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792Roden, S., Nucciarelli, A., Li, F., Graham, G. (2017). Big Data and the Transformation of Operations Models: A Framework and a New Research Agenda. Production Planning and Control 28(11–12). https://doi.org/10.1080/09537287.2017.1336792Romero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development. Researchgate. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENTRomero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development in Happiness management and creativity in the XXI Century: intangible capitals as a source of innovation, competitiveness and sustainable development (pp.55-69) Editorial Comares. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENTRomero Rodríguez, L. M., Castillo Abdul, B. (2019). Happiness Management and Creativity in the XXI Century: Intagible Capitals as a Source of Innovation Competitiveness and Sustainable Development. https://www.researchgate.net/publication/336699213_HAPPINESS_MANAGEMENT_AND_CREATIVITY_IN_THE_XXI_CENTURY_INTANGIBLE_CAPITALS_AS_A_SOURCE_OF_INNOVATION_COMPETITIVENESS_AND_SUSTAINABLE_DEVELOPMENTSandberg, B, Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003Sandberg, B., Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003Sandberg, B, Aarikka-Stenroos, L. (2014). What Makes It so Difficult? A Systematic Review on Barriers to Radical Innovation. Industrial Marketing Management 43(8). https://doi.org/10.1016/j.indmarman.2014.08.003Sandoval Ramos, S. J, Armijos Romero, D. A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760Sandoval Ramos, S. J, Armijos Romero, D. A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760Sandoval Ramos, S. J., Armijos Romero, D A., González Caraguay, K. G. (2018). La comunicación del talento humano en la productividad empresarial. INNOVA Research Journal 3(8.1). https://doi.org/10.33890/innova.v3.n8.1.2018.760Schröer, C., Kruse, F., Gómez, J .M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model. Procedia Computer Science, 181. https://doi.org/10.1016/j.procs.2021.01.199Schröer, C., Kruse, F., Gómez, J. M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model. Procedia Computer Science. Vol. 181. https://doi.org/10.1016/j.procs.2021.01.199Schröer, C., Kruse, F., Gómez, J. M. (2021). A Systematic Literature Review on Applying CRISP-DM Process Model in Procedia Computer Science. Vol. 181. https://doi.org/10.1016/j.procs.2021.01.199Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12Schwaninger, M., Klocker, J. (2017). Holistic System Design in Social Systems Engineering. https://doi.org/10.1002/9781118974414.ch12Sharma, R. , Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17Sharma, R., Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17Sharma, R., Mithas, S., Kankanhalli, A. (2014). Transforming Decision-Making Processes: A Research Agenda for Understanding the Impact of Business Analytics on Organisations. European Journal of Information Systems 23(4). https://doi.org/10.1057/ejis.2014.17Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050Sheth, J., Kellstadt, C. H. (2021). Next Frontiers of Research in Data Driven Marketing: Will Techniques Keep up with Data Tsunami? Journal of Business Research 125. https://doi.org/10.1016/j.jbusres.2020.04.050Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials.Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials.Signorelli, P. (2019). Three Ways To Build Your Business’ OKR Muscles. Talent Management Excellence Essentials.Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004Sullivan, C. (2014). Protecting Digital Identity in the Cloud: Regulating Cross Border Data Disclosure. Computer Law and Security Review 30(2). https://doi.org/10.1016/j.clsr.2014.01.004Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443Thomke, S., Euchner, J. (2020). High Velocity Business Experiments: An Interview with Stefan Thomke. Research Technology Management 63(4). https://doi.org/10.1080/08956308.2020.1762443Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681Vahabi, A., Nasirzadeh, F., Mills, A. (2022). Impact of Project Briefing Clarity on Construction Project Performance. International Journal of Construction Management 22(13). https://doi.org/10.1080/15623599.2020.1802681Watzlawick, P., Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802Watzlawick, P., Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802Watzlawick, P, Beavin, J. (1967). Some Formal Aspects of Communication. American Behavioral Scientist 10(8). https://doi.org/10.1177/0002764201000802Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4).Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4).Weill, P., Woerner, S. L. (2015). Thriving in an Increasingly Digital Ecosystem. MIT Sloan Management Review 56(4).Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography, vols. 1–12.Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography. Vols. 1–12.Withers, S. D. (2009). Categorical Data Analysis in International Encyclopedia of Human Geography: Volume 1-12.Yin, R. K. (2012). Yin , Robert K : Case Study Research . Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101Yin, R. K. (2012). Yin, Robert K.: Case Study Research. Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101Yin, R. K. (2012). Yin, Robert K.: Case Study Research. Design and Methods. Zeitschrift Für Personalforschung 26. https://doi.org/10.1177/239700221202600101Ylijoki, O, Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082Ylijoki, O., Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082Ylijoki, O, Porras, J. (2019). A Recipe for Big Data Value Creation. Business Process Management Journal 25(5). https://doi.org/10.1108/BPMJ-03-2018-0082Yuxi, Z., Mengjie. S. (2020). Research on Data-Driven Business Model Innovation. Advances in Social Science, Education and Humanities Research https://doi.org/10.2991/assehr.k.201023.043Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043Yuxi, Z., Mengjie, S. (2020). Research on Data-Driven Business Model Innovation. https://doi.org/10.2991/assehr.k.201023.043200518236Publication612f2e7d-6b09-43a5-b87d-ba22f201bfa1virtual::22128-1612f2e7d-6b09-43a5-b87d-ba22f201bfa1virtual::22128-1https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001335923virtual::22128-1LICENSElicense.txtlicense.txttext/plain; charset=utf-82535https://repositorio.uniandes.edu.co/bitstreams/45a6d0b3-2bce-47b4-91f3-052f7b1aee94/downloadae9e573a68e7f92501b6913cc846c39fMD51ORIGINALFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdfFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdfHIDEapplication/pdf268899https://repositorio.uniandes.edu.co/bitstreams/4e56cf85-1dcc-46ee-a010-bd69f48a792a/downloadf2f917a3531c6569983d2da4f22b3346MD52Factores determinantes de la eficacia de las estrategias de datos en empresas.pdfFactores determinantes de la eficacia de las estrategias de datos en empresas.pdfSe tiene informacion restringida de la empresa patrocinadoraapplication/pdf6287090https://repositorio.uniandes.edu.co/bitstreams/5c5fc0e0-986f-4e0a-af36-2abb5658ed5a/downloadd51af5260673617c24a44a41fe97b847MD53CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8805https://repositorio.uniandes.edu.co/bitstreams/416ab4bd-6881-40b5-bbb2-913746e1cbd1/download4460e5956bc1d1639be9ae6146a50347MD54TEXTFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdf.txtFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdf.txtExtracted texttext/plain2035https://repositorio.uniandes.edu.co/bitstreams/fdb0a711-92a1-4bfe-9137-c2e10fff3776/downloadb196cf7188a072c9584e865108c5fa8dMD55Factores determinantes de la eficacia de las estrategias de datos en empresas.pdf.txtFactores determinantes de la eficacia de las estrategias de datos en empresas.pdf.txtExtracted texttext/plain101813https://repositorio.uniandes.edu.co/bitstreams/fad8321f-49a7-45f6-af5c-bed5d57d315c/download8a4a31b14bf30e79bcf3da5e6f249c80MD57THUMBNAILFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdf.jpgFORMATO AUTORIZACIÓN DE TESIS AL SISTEMA DE BIBLIOTECAS.pdf.jpgGenerated Thumbnailimage/jpeg11063https://repositorio.uniandes.edu.co/bitstreams/1dfe23cb-689c-4f37-82e6-696e5f04fd60/download05eb00340d23e41795a4ae0c00277182MD56Factores determinantes de la eficacia de las estrategias de datos en empresas.pdf.jpgFactores determinantes de la eficacia de las estrategias de datos en empresas.pdf.jpgGenerated Thumbnailimage/jpeg16634https://repositorio.uniandes.edu.co/bitstreams/c24eef5e-cf50-45f1-aa4d-6b5b68fcfd75/downloadefa22c90c4cb732381c21a4dc0527f54MD581992/75436oai:repositorio.uniandes.edu.co:1992/754362025-03-05 10:16:55.816http://creativecommons.org/licenses/by-nc-nd/4.0/Attribution-NonCommercial-NoDerivatives 4.0 Internationalrestrictedhttps://repositorio.uniandes.edu.coRepositorio institucional Sénecaadminrepositorio@uniandes.edu.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 |