Madurez tecnológica de la generación Z: reto de la transformación digital en Colombia
Resumen
Las diferencias generacionales son consideradas la causa principal que determina la capacidad de interacción con nuevas tecnologías. El concepto de «nativo digital» ha tomado fuerza y visibilidad en ciertas áreas de conocimiento tales como ingenierías y tecnología, ciencias de la salud, ciencias sociales y administrativas, entre otras. Por tal motivo, el objetivo principal de esta investigación fue determinar la madurez digital de la generación Z en Colombia, a partir de la correlación existente entre el conocimiento sobre la transformación digital, la apropiación de tecnologías digitales, la experiencia e intención de uso de herramientas digitales en el futuro. El enfoque del estudio fue cuantitativo con un diseño no experimental, de carácter transversal, donde además se realizó un cuestionario como instrumento de recolección de datos, el cual fue suministrado, vía internet, a 250 personas. Entre los principales hallazgos se encontró que las variables de análisis como el conocimiento sobre la transformación digital, la experiencia de uso de herramientas digitales y la intención de uso en el futuro, aportan y están relacionadas de forma significativa con la madurez tecnológica de la generación Z. La evidencia proporcionada valida el comportamiento tradicional de adopción de nuevas tecnologías, donde, esta investigación contribuye al área de administración y gestión tecnológica argumentando que el nivel de madurez tecnológica de la generación Z impacta de manera directa cualquier estrategia de transformación digital empresarial.
Referencias bibliográficas
Adamik, A., Nowicki, M. (2018). Preparedness of companies for digital transformation and creating a competitive advantage in the age of Industry 4.0. Proceedings of the International Conference on Business Excellence, v. 12, n. 1, 10-24. https://doi.org/10.2478/picbe-2018-0003
Akçayir, M., Dündar, H., Akçayir, G. (2016). What makes you a digital native? Is it enough to be born after 1980? Computers in Human Behavior, v. 60, 435-440. https://doi.org/10.1016/j.chb.2016.02.089
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, v. 37, n. 2, 471-482. https://ssrn.com/abstract=2742300
Blayone, T. J. B., Mykhailenko, O., Kavtaradze, M., Kokhan, M., vanOostveen, R., Barber, W. (2018). Profiling the digital readiness of higher education students for transformative online learning in the post-soviet nations of Georgia and Ukraine. International Journal of Educational Technology in Higher Education, v. 15, n. 37. https://doi.org/10.1186/s41239-018-0119-9
Bond, M., Marín, V. I., Dolch, C., Bedenlier, S., Zawacki-Richter, O. (2018). Digital transformation in German higher education: student and teacher perceptions and usage of digital media. International Journal of Educational Technology in Higher Education, v. 15, n. 48. https://doi.org/10.1186/s41239-018-0130-1
Churchill, G. A. (1979). A paradigm for developing better measures of marketing constructs. Journal of Marketing Research, v. 16, n. 1, 64-73. https://doi.org/10.2307/3150876
Conner, K. R., Prahalad, C. K. (1996). A Resource-based Theory of the Firm- Knowledge Versus Opportunism. Organization Science, v. 7, n. 5, 469-592. https://doi.org/10.1287/orsc.7.5.477
De Luca, L. M., Herhausen, D., Troilo, G., Rossi, A. (2021). How and when do big data investments pay off? The role of marketing affordances and service innovation. Journal of the Academy of Marketing Science, v. 49, n. 4, 790-810. https://doi.org/10.1007/s11747-020-00739-x
El Hilali, W., El Manouar, A., Janati Idrissi, M. A. (2020). Reaching sustainability during a digital transformation: a PLS approach. International Journal of Innovation Science, v. 12, n. 1, 52-79. https://doi.org/10.1108/IJIS-08-2019-0083
Fonseca, L. M. (2018). Industry 4.0 and the digital society: concepts, dimensions and envisioned benefits. Proceedings of the International Conference on Business Excellence, v. 12, n. 1, 386-397. https://doi.org/10.2478/picbe-2018-0034
Gefen, D. (2000). E-commerce: The role of familiarity and trust. Omega, v. 28, n. 6, 725-737. https://doi.org/10.1016/S0305-0483(00)00021-9
Gurung, B., Rutledge, D. (2014). Digital learners and the overlapping of their personal and educational digital engagement. Computers & Education, v. 77, 91-100. https://doi.org/10.1016/j.compedu.2014.04.012
Ha, S., Stoel, L. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, v. 62, n. 5, 565-571. https://doi.org/10.1016/j.jbusres.2008.06.016
Hadullo, K., Oboko, R., Omwenga, E. (2017). A model for evaluating e-learning systems quality in higher education in developing countries. International Journal of Education and Development using Information and Communication Technology, v. 13, n. 2, 185-204. http://ijedict.dec.uwi.edu/viewissue.php?id=48
Hajkowicz, S., Reeson, A., Rudd, L., Bratanova, A., Hodgers, L., Mason, C., Boughen, N. (2016). Tomorrow’s Digitally Enabled Workforce: Megatrends and scenarios for jobs and employment in Australia over the coming twenty years. Csiro. https://doi.org/10.4225/08/58557df808f71
Hausberg, J. P., Liere-Netheler, K., Packmohr, S., Pakura, S., Vogelsang, K. (2019). Research streams on digital transformation from a holistic business perspective: a systematic literature review and citation network analysis. Journal of Business Economics, n. 89, 931-963. https://doi.org/10.1007/s11573-019-00956-z
Helsper, E. J., Eynon, R. (2010). Digital natives: where is the evidence? British educational research journal, v. 36, n. 3, 503-520. https://doi.org/10.1080/01411920902989227
Hernandez-de-Menendez, M., Escobar Díaz, C. A., Morales-Menendez, R. (2020). Educational experiences with Generation Z. International Journal on Interactive Design and Manufacturing (IJIDeM), v. 14, n. 3, 847-859. https://doi.org/10.1007/s12008-020-00674-9
Hinings, B., Gegenhuber, T., Greenwood, R. (2018). Digital innovation and transformation: An institutional perspective. Information and Organization, v. 28, n. 1, 52-61. https://doi.org/10.1016/j.infoandorg.2018.02.004
Ifenthaler, D., Egloffstein, M. (2020). Development and Implementation of a Maturity Model of Digital Transformation, TechTrends, v. 64, 302-309. https://doi.org/10.1007/s11528-019-00457-4
Ipatov, O., Barinova, D., Odinokaya, M., Rubtsova, A., Pyatnitsky, A., (2020). The Impact of Digital Transformation Process of the Russian University. Proceedings of the 31st DAAAM International Symposium, pp. 0271-0275. https://doi.org/10.2507/31st.daaam.proceedings.037
Kaminskyi, O. Y., Yereshko, Y. O., Kyrychenko, S. O. (2018). Digital Transformation of University Education in Ukraine: Trajectories of Development in the Conditions of New Technological and Economic Order. Information Technologies and Learning Tools, v. 64, n. 2, 128- 137. https://doi.org/10.33407/itlt.v64i2.2083
Kamsker, S., Janschitz, G., Monitzer, S. (2020). Digital Transformation and Higher Education: A Survey on the Digital Competencies of Learners to Develop Higher Education Teaching. International Journal for Business Education, n. 160, 22-41. https://eric.ed.gov/?id=EJ1265949
Kane, G. (2019). The Technology Fallacy: People Are the Real Key to Digital Transformation. Research Technology Management, v. 62, n. 6, 44-49. https://doi.org/10.1080/08956308.2019.1661079
Kisimov, V., Kabakchieva, D., Naydenov, A., Stefanova, K. (2020). Agile Elastic Desktop Corporate Architecture for Big Data. Cybernetics and Information Technologies, v. 20, n. 3, 15-31. https://doi.org/10.2478/cait-2020-0025
Kumar, N., Kumar, G., Singh, R. K. (2021). Big data analytics application for sustainable manufacturing operations: analysis of strategic factors. Clean Technologies and Environmental Policy, v. 23, 965-989. https://doi.org/10.1007/s10098-020-02008-5
Kuzin, D. V. (2019). Problems of Digital Maturity in Modern Business. The World of New Economy, v.13, n. 3, 89-99. https://doi.org/10.26794/2220-6469-2019-13-3-89-99
LeBlanc, P. J. (2018). Higher Education in a VUCA World. Change: The Magazine of Higher Learning, v. 50, n. 3-4, 23–26. https://doi.org/10.1080/00091383.2018.1507370
Lutteroth, C., Luxton-Reilly, A., Dobbie, G., Hamer, J. (2007). A maturity model for computing education. Conferences in Research and Practice in Information Technology Series, 66, 107-114.
Machika, P. C., Dolley, F. (2018). Framework for a learning management system at a university of technology with a weak information technology maturity system. South African Journal of Higher Education, v. 32, n. 2, 176-191. https://doi.org/10.20853/32-2-1502
Maslennikova, S. V., Zhurakovskaya, V. M., Bogovarova, V. A., Moiseev, R. (2019). Cognitive Modelling of the Socialization Process as a Digital Transformation Trend in Higher Education. V International Forum on Teacher Education, 1105-1112. https://doi.org/10.3897/ap.1.e1049
Matt, C. (2020). Some Remarks on the Challenges of Digital Transformation Research in the Business Sectors. Trilogía Ciencia Tecnología Sociedad, v. 12, n. 23, 7-10. https://doi.org/10.22430/21457778.1708
Matt, C., Hess, T., Benlian, A. (2015). Digital Transformation Strategies. Business and Information Systems Engineering, v. 57, n. 5, 339-343. https://doi.org/10.1007/s12599-015-0401-5
Matt, C., Hess, T., Benlian, A., Wiesbock, F., (2016). Options for Formulating a Digital Transformation Strategy. MIS Quarterly Executive, v. 15, n. 2. https://aisel.aisnet.org/misqe/vol15/iss2/6
Mugge, P., Abbu, H., Michaelis, T. L., Kwiatkowski, A., Gudergan, G. (2020). Patterns of digitization: A practical guide to digital transformation. Research-Technology Management, v. 63, n. 2, 27-35. https://doi.org/10.1080/08956308.2020.1707003
Newman, T., Beetham, H. (2017). Student digital experience tracker 2017: The voice of 22,000 UK learners. Bristol.
Pappas, I. O., Mikalef, P., Giannakos, M. N., Krogstie, J., Lekakos, G. (2018). Big data and business analytics ecosystems: paving the way towards digital transformation and sustainable societies. Information Systems and E-Business Management, v. 16, 479-491. https://link.springer.com/article/10.1007/s10257-018-0377-z
Putri, N. K. S., Muljoredjo, H. (2014). The Use Of Green Information Technology Governance Model To Determine Capability Maturity Level In Dki Jakarta Private Higher Education Institutions. Journal of Theoretical and Applied Information Technology, v. 61, n. 1, 1-9. http://www.jatit.org/volumes/sixtyfirst_1_2014.php
Redecker, C. (2017). European Framework for the Digital Competence of Educators: DigCompEdu. JRC Publications Repository. https://publications.jrc.ec.europa.eu/repository/handle/JRC107466
Roumani, Y., Nwankpa, J. K., Roumani, Y. F. (2015). The impact of incentives on the intention to try a new technology. Technology Analysis and Strategic Management, v. 27, n. 2, 126-141. https://doi.org/10.1080/09537325.2014.952625
Seong Leem, C., Kim, I. (2004). An integrated evaluation system based on the continuous improvement model of IS performance. Industrial Management & Data Systems, v. 104, n. 2. 115-128. https://doi.org/10.1108/02635570410522080
Seong Leem, C., Wan Kim, B., Jung Yu, E., Ho Paek, M. (2008). Information technology maturity stages and enterprise benchmarking: an empirical study. Industrial Management & Data Systems, v. 108, n. 9, 1200-1218. https://doi.org/10.1108/02635570810914892
Stjepić, A.-M., Ivančić, L., Vugec, D. S. (2020). Mastering digital transformation through business process management: Investigating alignments, goals, orchestration, and roles. Journal of Entrepreneurship, Management and Innovation, v. 16, n. 1, 41-74. https://doi.org/10.7341/20201612
Verčič, A. T., Verčič, D. (2013). Digital natives and social media. Public Relations Review, v. 39, n. 5, 600-602. https://doi.org/10.1016/j.pubrev.2013.08.008
Zhou, G., Xu, J. (2007). Adoption of Educational Technology: How Does Gender Matter? International Journal of Teaching and Learning in Higher Education, v. 19, n. 2, 140-153. https://eric.ed.gov/?id=EJ901292
Descargas
