Tecnoestrés y su efecto sobre la productividad en estudiantes universitarios en tiempos de la COVID-19
Palabras clave:
Tecnoestrés, productividad, estudiantes, COVID-19, Chile
Resumen
En los últimos años, los estudiantes se han enfrentado a nuevas exigencias y requisitos tecnológicos y han tenido que destinar una mayor cantidad de tiempo a su aprendizaje. Estas nuevas exigencias académicas podrían causarles efectos negativos como el tecnoestrés. El tecnoestrés es un trastorno que implica una serie de respuestas que afectan al comportamiento y la conducta humana. Basándose en la Teoría del Ajuste Persona-Entorno, el objetivo de este estudio es determinar la existencia de tecnoestrés en los estudiantes universitarios y su efecto en su productividad individual. Para ello, se ha aplicado una encuesta en línea a estudiantes universitarios chilenos. Los resultados del análisis de ecuaciones estructurales permiten concluir que el tecnoestrés se intensifica en los estudiantes cuando los apoyos institucionales son insuficientes en un contexto de altas exigencias académicas en la integración de Tecnologías de Información y Comunicación en su currículo y que la falta de competencias en el uso de herramientas tecnológicas aumenta los niveles de tecnoestrés y disminuye su productividad.
Citas
Abilleira, M. P., Rodicio-García, M. L., & Ríos-de-deus, M. P. (2020). Technostress in Spanish University Students: Validation of a Measurement Scale. Frontiers in Psychology, 11. https://doi.org/10.3389/fpsyg.2020.582317
Alam, M. (2016). Techno-stress and productivity: Survey evidence from the aviation industry. Journal of Air Transport Management, 50, 62-70. https://doi.org/10.1016/j.jairtraman.2015.10.003
Albort-Morant, G., Henseler, J., Cepeda-Carrión, G., & Leal-Rodríguez, A. L. (2018). Potential and Realized Absorptive Capacity as Complementary Drivers of Green Product and Process Innovation Performance. Sustainability, 10(2), 381. https://doi.org/10.3390/su10020381
Al-Fudail, M., & Mellar, H. (2008). Investigating teacher stress when using technology. Computers & Education, 51(3), 1103–1110. https://doi.org/10.1016/j.compedu.2007.11.004
Apaza, C. M., Sanz, R. S. S., & Arévalo, J. E. S. C. (2020). Factores psicosociales durante el confinamiento por el Covid-19–Perú. Revista Venezolana de Gerencia, 25(90), 402-413.
Arnetz, B., & Wiholm, C. (1997). Technological stress: Psychophysiological symptoms in modern offices. Journal of Psychosomatic Research, 43(1), 35-42. https://doi.org/10.1016/S0022-3999(97)00083-4
Avanzi, L., Fraccaroli, F., Castelli, L., Marcionetti, J., Crescentini, A., Balducci, C., et al. (2018). How to mobilize social support against workload and burnout: the role of organizational identification. Teaching and Teacher Education, 69, 154–167. https://doi.org/10.1016/j.tate.2017.10.001
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858. https://doi.org/10.2307/41409963
Brod, C. (1984). Technostress: The Human Cost of the Computer Revolution. Addison-Wesley.
Chandra, S., Shirish, A., & Srivastava, S. (2019). Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators. Communications of the Association for Information Systems, 44, 299–331. https://doi.org/10.17705/1CAIS.04419
Chen, L., & Muthitacharoen, A. (2016). An empirical investigation of the consequences of technostress: Evidence from China. Information Resources Management Journal, 29(2), 14–36. https://doi.org/10.4018/irmj.2016040102
Chuang, A., Shen, C. T., & Judge, T. A. (2016). Development of a multidimensional instrument of person–environment fit: the perceived person–environment fit scale (PPEFS). Applied Psychology, 65, 66–98. https://doi.org/10.1111/apps.12036
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
Dias Pocinho, M., & Costa Garcia, J. (2009). Impacto psicosocial de la tecnología de información y comunicación (TIC): Tecnoestrés, daños físicos y satisfacción laboral. Acta Colombiana de Psicología, 11(2), 127–139.
Edwards, J. R., Caplan, R. D., & Harrison, V. R. (1998). Person-environment fit theory: conceptual foundations, empirical evidence, and directions for future research. Academy of Management Annals, 2(1), 167-230. https://doi.org/10.5465/19416520802211503
Fisher, W., & Wesolkowski, S. (1999). Tempering technostress. IEEE Technology and Society Magazine, 18(1), 28-42. https://doi.org/10.1109/44.752243
Fuglseth, A., & Sørebø, O. (2014). The effects of technostress within the context of employee use of ICT. Computer in Human Behavior, 40, 161–170. https://doi.org/10.1016/j.chb.2014.07.040
Hair, J. F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd ed. Thousand Oaks: Sage Publications.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Hogan, R. L., & McKnight, M. A. (2007). Exploring burnout among university online instructors: an initial investigation. The Internet and High Education, 10(2), 117–124. https://doi.org/10.1016/j.iheduc.2007.03.001
Hsiao, K. (2017). Compulsive mobile application usage and technostress. The role of personality traits. Online Information Review, 41(2), 272–295. https://doi.org/10.1108/OIR-03-2016-0091
Jansen, K. J., & Kristof-Brown, A. (2006). Toward a multidimensional theory of person-environment fit. Journal of Managerial Issues, 18(2), 193–212.
Jena, R. (2015). Technostress in ICT enabled collaborative learning environment: An empirical study among Indian academician. Computers in Human Behavior, 51, 1116–1123. https://doi.org/10.1016/j.chb.2015.03.020
Joo, Y. J., Lim, K. Y., & Kim, N. H. (2016). The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Computers & Education, 95, 114–122. https://doi.org/10.1016/j.compedu.2015.12.004
Marchiori, D. M., Mainardes, E. W., & Rodrigues, R. G. (2019). Do individual characteristics influence the types of technostress reported by workers? International Journal of Human-Computer Interaction, 35(3), 218–230. https://doi.org/10.1080/10447318.2018.1449713
Nimrod, G. (2018). Technostress: measuring a new threat to well-being in later life. Aging & Mental Health, 22(8), 1086-1093. https://doi.org/10.1080/13607863.2017.1334037
Palma-Silva, Araya-Guzmán, S., & Salazar-Concha, C. (2021). Efecto de las características y factores estresantes del teletrabajo en el agotamiento y satisfacción laboral de los teletrabajadores y su incidencia en el rendimiento organizativo. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, E46, 573–587.
Player, D., Youngs, P., Perrone, F., & Grogan, E. (2017). How principal leadership and person-job fit are associated with teacher mobility and attrition. Teaching and Teacher Education, 67, 330–339. https://doi.org/10.1016/j.tate.2017.06.017
Qi, C. (2019). A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance. Behaviour & Information Technology, 38(12), 1337–1354. https://doi.org/10.1080/0144929X.2019.1585476
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-Based Structural Equation Modeling: Guidelines for Using Partial Least Squares in Information Systems Research. In M. Mora, O. Gelman, A. Steenkamp, & M. Raisinghani (Ed.), Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems (pp. 193-221). IGI Global. https://doi.org/10.4018/978-1-4666-0179-6.ch010
Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. https://doi.org/10.1080/00207594.2012.680460
Salazar-Concha, C. (2019). El tecnoestrés y su efecto sobre la productividad de los trabajadores chilenos: Un estudio psicométrico y predictivo. [Doctoral Thesis, Universitat Oberta de Catalunya, Barcelona, España]. https://www.tdx.cat/handle/10803/668131
Salazar-Concha, C., Ficapal-Cusí, P., & Boada-Grau. J. (2020). Tecnoestrés: Evolución del concepto y sus principales consecuencias. Teuken Bidikay - Revista Latinoamericana de Investigación en Organizaciones, Ambiente y Sociedad, 11(17), 165-180. https://doi.org/10.33571/teuken.v11n17a9
Salazar-Concha, C., Ficapal-Cusí, P., Boada-Grau. J., & Camacho, L.J. (2021). Analyzing the evolution of technostress: A science mapping approach. Heliyon, 7(4), e06726. https://doi.org/10.1016/j.heliyon.2021.e06726
Shu, Q., Tu, Q. & Wang, K. (2011). The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective. International Journal of Human-Computer Interaction, 27(10), 923–939. https://doi.org/10.1080/10447318.2011.555313
Singh, M., Jakhar, A. K., & Pandey, S. (2021). Sentiment analysis on the impact of coronavirus in social life using the BERT model. Social Network Analysis and Mining, 11(1), 1–11. https://doi.org/10.1007/s13278-021-00737-z
Tacy, J. (2016). Technostress: A concept analysis. Online Journal of Nursing Informatics, 20(2).
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169
Tarafdar, M., Pullins, E., & Ragu-Nathan, T. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Tarafdar, M., Tu, Q., & Ragu-Nathan, T. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303-334. https://doi.org/10.2753/MIS0742-1222270311
Tarafdar, M., Tu, Q., Ragu-Nathan, B., & Ragu-Nathan, T. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301-328. https://doi.org/10.2753/MIS0742-1222240109
Upadhyaya, P., y Vrinda. (2021). Impact of technostress on academic productivity of university students. Education and Information Technologies, 26(2), 1647–1664. https://doi.org/10.1007/s10639-020-10319-9
Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: an empirical investigation. Computers in Human Behavior, 24(6), 3002-3013. https://doi.org/10.1016/j.chb.2008.05.007
Wang, X., & Li, B. (2019). Technostress Among University Teachers in Higher Education: A Study Using Multidimensional Person-Environment Misfit Theory. Frontiers in Psychology, 10, 1791. https://doi.org/10.3389/fpsyg.2019.01791
Weil, M. M., & Rosen, L. D. (1997). Technostress. Wiley.
Alam, M. (2016). Techno-stress and productivity: Survey evidence from the aviation industry. Journal of Air Transport Management, 50, 62-70. https://doi.org/10.1016/j.jairtraman.2015.10.003
Albort-Morant, G., Henseler, J., Cepeda-Carrión, G., & Leal-Rodríguez, A. L. (2018). Potential and Realized Absorptive Capacity as Complementary Drivers of Green Product and Process Innovation Performance. Sustainability, 10(2), 381. https://doi.org/10.3390/su10020381
Al-Fudail, M., & Mellar, H. (2008). Investigating teacher stress when using technology. Computers & Education, 51(3), 1103–1110. https://doi.org/10.1016/j.compedu.2007.11.004
Apaza, C. M., Sanz, R. S. S., & Arévalo, J. E. S. C. (2020). Factores psicosociales durante el confinamiento por el Covid-19–Perú. Revista Venezolana de Gerencia, 25(90), 402-413.
Arnetz, B., & Wiholm, C. (1997). Technological stress: Psychophysiological symptoms in modern offices. Journal of Psychosomatic Research, 43(1), 35-42. https://doi.org/10.1016/S0022-3999(97)00083-4
Avanzi, L., Fraccaroli, F., Castelli, L., Marcionetti, J., Crescentini, A., Balducci, C., et al. (2018). How to mobilize social support against workload and burnout: the role of organizational identification. Teaching and Teacher Education, 69, 154–167. https://doi.org/10.1016/j.tate.2017.10.001
Ayyagari, R., Grover, V., & Purvis, R. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831-858. https://doi.org/10.2307/41409963
Brod, C. (1984). Technostress: The Human Cost of the Computer Revolution. Addison-Wesley.
Chandra, S., Shirish, A., & Srivastava, S. (2019). Does technostress inhibit employee innovation? Examining the linear and curvilinear influence of technostress creators. Communications of the Association for Information Systems, 44, 299–331. https://doi.org/10.17705/1CAIS.04419
Chen, L., & Muthitacharoen, A. (2016). An empirical investigation of the consequences of technostress: Evidence from China. Information Resources Management Journal, 29(2), 14–36. https://doi.org/10.4018/irmj.2016040102
Chuang, A., Shen, C. T., & Judge, T. A. (2016). Development of a multidimensional instrument of person–environment fit: the perceived person–environment fit scale (PPEFS). Applied Psychology, 65, 66–98. https://doi.org/10.1111/apps.12036
Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499
Dias Pocinho, M., & Costa Garcia, J. (2009). Impacto psicosocial de la tecnología de información y comunicación (TIC): Tecnoestrés, daños físicos y satisfacción laboral. Acta Colombiana de Psicología, 11(2), 127–139.
Edwards, J. R., Caplan, R. D., & Harrison, V. R. (1998). Person-environment fit theory: conceptual foundations, empirical evidence, and directions for future research. Academy of Management Annals, 2(1), 167-230. https://doi.org/10.5465/19416520802211503
Fisher, W., & Wesolkowski, S. (1999). Tempering technostress. IEEE Technology and Society Magazine, 18(1), 28-42. https://doi.org/10.1109/44.752243
Fuglseth, A., & Sørebø, O. (2014). The effects of technostress within the context of employee use of ICT. Computer in Human Behavior, 40, 161–170. https://doi.org/10.1016/j.chb.2014.07.040
Hair, J. F., Hult, G.T.M., Ringle, C.M., & Sarstedt, M. (2017). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM). 2nd ed. Thousand Oaks: Sage Publications.
Henseler, J., Hubona, G., & Ray, P. A. (2016). Using PLS Path Modeling in New Technology Research: Updated Guidelines. Industrial Management & Data Systems, 116(1), 2–20. https://doi.org/10.1108/IMDS-09-2015-0382
Hogan, R. L., & McKnight, M. A. (2007). Exploring burnout among university online instructors: an initial investigation. The Internet and High Education, 10(2), 117–124. https://doi.org/10.1016/j.iheduc.2007.03.001
Hsiao, K. (2017). Compulsive mobile application usage and technostress. The role of personality traits. Online Information Review, 41(2), 272–295. https://doi.org/10.1108/OIR-03-2016-0091
Jansen, K. J., & Kristof-Brown, A. (2006). Toward a multidimensional theory of person-environment fit. Journal of Managerial Issues, 18(2), 193–212.
Jena, R. (2015). Technostress in ICT enabled collaborative learning environment: An empirical study among Indian academician. Computers in Human Behavior, 51, 1116–1123. https://doi.org/10.1016/j.chb.2015.03.020
Joo, Y. J., Lim, K. Y., & Kim, N. H. (2016). The effects of secondary teachers’ technostress on the intention to use technology in South Korea. Computers & Education, 95, 114–122. https://doi.org/10.1016/j.compedu.2015.12.004
Marchiori, D. M., Mainardes, E. W., & Rodrigues, R. G. (2019). Do individual characteristics influence the types of technostress reported by workers? International Journal of Human-Computer Interaction, 35(3), 218–230. https://doi.org/10.1080/10447318.2018.1449713
Nimrod, G. (2018). Technostress: measuring a new threat to well-being in later life. Aging & Mental Health, 22(8), 1086-1093. https://doi.org/10.1080/13607863.2017.1334037
Palma-Silva, Araya-Guzmán, S., & Salazar-Concha, C. (2021). Efecto de las características y factores estresantes del teletrabajo en el agotamiento y satisfacción laboral de los teletrabajadores y su incidencia en el rendimiento organizativo. RISTI - Revista Ibérica de Sistemas e Tecnologias de Informação, E46, 573–587.
Player, D., Youngs, P., Perrone, F., & Grogan, E. (2017). How principal leadership and person-job fit are associated with teacher mobility and attrition. Teaching and Teacher Education, 67, 330–339. https://doi.org/10.1016/j.tate.2017.06.017
Qi, C. (2019). A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance. Behaviour & Information Technology, 38(12), 1337–1354. https://doi.org/10.1080/0144929X.2019.1585476
Ragu-Nathan, T. S., Tarafdar, M., Ragu-Nathan, B. S., & Tu, Q. (2008). The consequences of technostress for end users in organizations: Conceptual development and empirical validation. Information Systems Research, 19(4), 417–433. https://doi.org/10.1287/isre.1070.0165
Roldán, J. L., & Sánchez-Franco, M. J. (2012). Variance-Based Structural Equation Modeling: Guidelines for Using Partial Least Squares in Information Systems Research. In M. Mora, O. Gelman, A. Steenkamp, & M. Raisinghani (Ed.), Research Methodologies, Innovations and Philosophies in Software Systems Engineering and Information Systems (pp. 193-221). IGI Global. https://doi.org/10.4018/978-1-4666-0179-6.ch010
Salanova, M., Llorens, S., & Cifre, E. (2013). The dark side of technologies: Technostress among users of information and communication technologies. International Journal of Psychology, 48(3), 422–436. https://doi.org/10.1080/00207594.2012.680460
Salazar-Concha, C. (2019). El tecnoestrés y su efecto sobre la productividad de los trabajadores chilenos: Un estudio psicométrico y predictivo. [Doctoral Thesis, Universitat Oberta de Catalunya, Barcelona, España]. https://www.tdx.cat/handle/10803/668131
Salazar-Concha, C., Ficapal-Cusí, P., & Boada-Grau. J. (2020). Tecnoestrés: Evolución del concepto y sus principales consecuencias. Teuken Bidikay - Revista Latinoamericana de Investigación en Organizaciones, Ambiente y Sociedad, 11(17), 165-180. https://doi.org/10.33571/teuken.v11n17a9
Salazar-Concha, C., Ficapal-Cusí, P., Boada-Grau. J., & Camacho, L.J. (2021). Analyzing the evolution of technostress: A science mapping approach. Heliyon, 7(4), e06726. https://doi.org/10.1016/j.heliyon.2021.e06726
Shu, Q., Tu, Q. & Wang, K. (2011). The Impact of Computer Self-Efficacy and Technology Dependence on Computer-Related Technostress: A Social Cognitive Theory Perspective. International Journal of Human-Computer Interaction, 27(10), 923–939. https://doi.org/10.1080/10447318.2011.555313
Singh, M., Jakhar, A. K., & Pandey, S. (2021). Sentiment analysis on the impact of coronavirus in social life using the BERT model. Social Network Analysis and Mining, 11(1), 1–11. https://doi.org/10.1007/s13278-021-00737-z
Tacy, J. (2016). Technostress: A concept analysis. Online Journal of Nursing Informatics, 20(2).
Tarafdar, M., Cooper, C. L., & Stich, J. F. (2019). The technostress trifecta - techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6–42. https://doi.org/10.1111/isj.12169
Tarafdar, M., Pullins, E., & Ragu-Nathan, T. (2015). Technostress: negative effect on performance and possible mitigations. Information Systems Journal, 25(2), 103–132. https://doi.org/10.1111/isj.12042
Tarafdar, M., Tu, Q., & Ragu-Nathan, T. (2010). Impact of technostress on end-user satisfaction and performance. Journal of Management Information Systems, 27(3), 303-334. https://doi.org/10.2753/MIS0742-1222270311
Tarafdar, M., Tu, Q., Ragu-Nathan, B., & Ragu-Nathan, T. (2007). The impact of technostress on role stress and productivity. Journal of Management Information Systems, 24(1), 301-328. https://doi.org/10.2753/MIS0742-1222240109
Upadhyaya, P., y Vrinda. (2021). Impact of technostress on academic productivity of university students. Education and Information Technologies, 26(2), 1647–1664. https://doi.org/10.1007/s10639-020-10319-9
Wang, K., Shu, Q., & Tu, Q. (2008). Technostress under different organizational environments: an empirical investigation. Computers in Human Behavior, 24(6), 3002-3013. https://doi.org/10.1016/j.chb.2008.05.007
Wang, X., & Li, B. (2019). Technostress Among University Teachers in Higher Education: A Study Using Multidimensional Person-Environment Misfit Theory. Frontiers in Psychology, 10, 1791. https://doi.org/10.3389/fpsyg.2019.01791
Weil, M. M., & Rosen, L. D. (1997). Technostress. Wiley.
Publicado
2022-09-23
Cómo citar
Salazar-Concha, C., Encina Ramírez, C., Rojas Ramírez, G., & Araya-Guzmán, S. (2022). Tecnoestrés y su efecto sobre la productividad en estudiantes universitarios en tiempos de la COVID-19. Revista Venezolana De Gerencia, 27(100), 1721-1738. https://doi.org/10.52080/rvgluz.27.100.26
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