Technostress and individual work performance in Mexican teleworking university teachers
DOI:
https://doi.org/10.35588/wddtjs54Keywords:
Technostress, individual job performance, university teachers, teleworkersAbstract
The objective of this research was to analyze the relationship between technostress and individual job performance of 219 Mexican university teleworking teachers. A quantitative, non-experimental, cross-sectional, correlational research was conducted. A negative relationship between technostress and teachers' performance is evidenced. In the results, women report higher levels of technoanxiety. Marital status and educational level influence the dimensions of technostress and job performance. Teachers in common-law unions reported higher levels of technoaddiction, while those with a technical background had higher levels of technoanxiety and technofatigue compared to their colleagues with higher education. Teachers who telework entirely from home presented higher levels of technoaddiction. On the other hand, those with a remote office or partially teleworking showed better task performance.
Downloads
References
Aguinis, H., Gottfredson, R. K. y Joo, H. (2013). Avoiding a “me” versus “we” dilemma: Using performance management to turn teams into a source of competitive advantage. Business Horizons, 56(4), 503-512. https://doi.org/10.1016/j.bushor.2013.02.004
Antonio-Javier, M. T., Nava-Rogel, R. M. y García-Contreras, R. (2023). Validación de la escala de rendimiento laboral individual en entornos virtuales (México, 2022). Revista Internacional de Gestión del Conocimiento y la Tecnología, 11(2), 44-63. https://doi.org/10.5281/zenodo.10431420
Antonio-Javier, M. T. y Nava-Rogel, R. M. (2023). Validación de la escala de conductas laborales contraproducentes de entornos virtuales en México, 2022. Revista Gestión de las Personas y Tecnología, 16(48), 21. https://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-56932023000300028&lng=es&nrm=iso
Antonio-Javier, M. T. y Nava-Rogel, R. M. (2024). Implementación del teletrabajo durante la pandemia: percepciones de gerentes y trabajadores en el Estado de México, 2021. En P. Mejía-Reyes y C. Cadena-Inostrosa (Ed.), Políticas públicas y efectos socioeconómicos de la COVID-19 en el Estado de México (pp. 353-397). El Colegio Mexiquense, A. C. y Universidad Autónoma del Estado de México. http://hdl.handle.net/20.500.11799/141687
Antonio-Javier, M. T. (2025). Adaptación de la escala de tecnoestrés en docentes teletrabajadores de México. Revista Internacional de Gestión del Conocimiento y la Tecnología, 13(1), 32-53. https://doi.org/10.5281/zenodo.14872443
Aubé, C., Rousseau, V., Mama, C. y Morin, E. M. (2009). Counterproductive behaviors and psychological well-being: The moderating effect of task interdependence. Journal of Business and Psychology, 24, 351-361. https://doi.org/10.1007/s10869-009-9113-5
Ayyagari, R., Grover, V. y Purvis, R. (2011). Technostress: Technological Antecedents and Implications. Management Information Systems Research Center, 35(4), 831-858. https://www.jstor.org/stable/41409963
Bennett, R. J. y Robinson, S. L. (2000). Development of a measure of workplace deviance. Journal of Applied Psychology, 85(3), 349-360. https://doi.org/10.1037/0021-9010.85.3.349
D’Angelo, L. (2021). Tamaño de efecto, potencia de la prueba, factor de Bayes y meta análisis en el marco de la crisis de reproducibilidad de la ciencia. El caso de la diferencia de medias -con muestras independientes- (primera parte). Cuadernos del CIMBAGE, 1(23), 47-82. https://doi.org/10.56503/CIMBAGE/Vol.1/Nro.23(2021)p.47-82
Hoffman, B. J., Blair, C. A., Meriac, J. P. y Woehr, D. J. (2007). Expanding the criterion domain? A quantitative review of the OCB literature. Journal of Applied Psychology, 92(2), 555-566. https://doi.org/10.1037/0021-9010.92.2.555
Holland, S. J., Simpson, K. M., Dalal, R. S. y Vega, R. P. (2016). I can’t steal from a coworker if I work from home: Conceptual and measurement-related issues associated with studying counterproductive work behavior in a telework setting. Human Performance, 29(3), 172-190. https://doi.org/10.1080/08959285.2016.1160094
IMCO. (2023). Recursos para la educación en México. Proyecto de Presupuesto de Egresos de la Federación 2023. Instituto Mexicano para la Competitividad. Instituto Mexicano para la Competitividad. México. https://imco.org.mx/wp-content/uploads/2022/09/Educacion-en-el-Paquete-Economico-2023.doc.pdf
INEGI. (2023). Encuesta Nacional de Ocupación y Empleo 2023. Instituto Nacional de Estadística y Geografía (INEGI). https://www.inegi.org.mx/programas/enoe/15ymas/#Tabulados
Kerlinger, F. N. (1988). Investigación del Comportamiento. McGraw Hill.
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., Schaufeli, W. B., De Vet Henrica, C. W. y Van Der Beek, A. J. (2011). Conceptual frameworks of individual work performance: A systematic review. Journal of Occupational and Environmental Medicine, 53(8), 856-866. https://doi.org/10.1097/JOM.0b013e318226a763
Koopmans, L., Bernaards, C., Hildebrandt, V., van-Buuren, S., van-der-Beek, A. J. y de-Vet, H. C. W. (2013). Development of an individual work performance questionnaire. International Journal of Productivity and Performance Management, 62(1), 6-28. https://doi.org/10.1108/17410401311285273
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., de-Vet, H. C. W. y van-der-Beek, A. J. (2014a). Construct validity of the individual work performance questionnaire. Journal of Occupational and Environmental Medicine, 56(3), 331-337. https://doi.org/10.1097/jom.0000000000000113
Koopmans, L., Bernaards, C. M., Hildebrandt, V. H., de Vet, H. C. W. y van der Beek, A. J. (2014b). Measuring individual work performance: Identifying and selecting indicators. Work, 48(2), 229-238. https://doi.org/10.3233/WOR-131659
Kristof-Brown, A. L., Zimmerman, R. D. y Johnson, E. C. (2005). Consequences of individuals’ fit at work: a meta-analysis of Person-Job, Person-Organization, Person-Group and Person-Supervisor fit. Personnel Psychology, 58(2), 281-342. https://doi.org/10.1111/j.1744-6570.2005.00672.x
Kumar, R., Lal, R., Oshan, Bansal, Y. y Sharma, S. (2013). Technostress in Relation to Job Satisfaction and Organisational Commitment among IT Professionals. International Journal of Scientific and Research Publications, 3(12), 12-14. https://www.ijsrp.org/research-paper-1213/ijsrp-p2463.pdf
Lievens, F., Conway, J. M. y De-Corte, W. (2008). The relative importance of task, citizenship and counterproductive performance to job performance ratings: Do rater source and team-based culture matter? Journal of Occupational and Organizational Psychology, 81(1), 11-27. https://doi.org/10.1348/096317907X182971
Lofquist, L. H. y Dawis, R. V. (1984). Research on work adjustment and satisfaction: Implications for career counseling. Handbook of counseling psychology, 216-237.
Meyers, L. S., Gamst, G. y Guarino, A. J. (2006). Applied multivariate research: Design and interpretation. Sage Publications.
Miles, D. E., Borman, W. E., Spector, P. E. y Fox, S. (2002). Building an integrative model of extra role work behaviors: A comparison of counterproductive work behavior with organizational citizenship behavior. International Journal of Selection and Assessment, 10(1-2), 51-57. https://doi.org/10.1111/1468-2389.00193
Mishra, D. y Tageja, N. (2022). Cyberslacking for Coping Stress? Exploring the Role of Mindfulness as Personal Resource. JGBC, 17(1), 56-67. https://doi.org/10.1007/s42943-022-00064-w
Mohajan, H. K. (2017). Two criteria for good measurements in research: Validity and reliability. Annals of Spiru Haret University, 17(4), 59-82. https://www.ceeol.com/search/article-detail?id=673569
Morf, M., Feierabend, A. y Staffelbach, B. (2017). Task variety and counterproductive work behavior. Journal of Managerial Psychology, 32(8), 581-592. https://doi.org/10.1108/JMP-02-2017-0048
Naciones Unidas. (2023). Objetivos de Desarrollo Sostenible 2030: Garantizar una educación inclusiva, equitativa y de calidad. Naciones Unidas. https://www.un.org/sustainabledevelopment/education/
Nielsen, M. B., Christensen, J. O. y Knardahl, S. (2021). Working at home and alcohol use. Addictive Behaviors Reports, 14, 100377. https://doi.org/10.1016/j.abrep.2021.100377
Ramos, A. y Sánchez, M. (2022). El tecnoestrés y su efecto sobre el desempeño laboral del personal docente. (Trabajo de grado de máster). Universitat Oberta de Catalunya. https://openaccess.uoc.edu/handle/10609/142446
Reyna-Alcántara, A. de los S. (2022). Competencias digitales y desempeño docente en los colegios de Latinoamérica. Desafíos, 13(1), 25-36. https://doi.org/10.37711/desafios.2022.13.1.367
Rosero-Ordóñez, S. L. (2025). Fatiga digital en docentes universitarios: Impacto del uso intensivo de plataformas virtuales en la enseñanza y el bienestar laboral. Revista Caribeña de Investigación Educativa, 9, e9824. https://doi.org/10.32541/recie.v9.824
Rotundo, M. y Sackett, P. R. (2002). The relative importance of task, citizenship, and counterproductive performance to global ratings of job performance: a policy-capturing approach. Journal of Applied Psychology, 87(1), 66-80. https://doi.org/10.1037/0021-9010.87.1.66
Salanova, M., Llorens, S. y Cifre, E. (2007). Tecnoestrés: concepto, medida e intervención psicosocial. Notas Técnicas de prevención (1-6). Instituto Nacional de Seguridad e Higiene en el Trabajo. https://www.insst.es/documents/94886/327446/ntp_730.pdf/55c1d085-13e9-4a24-9fae-349d98deeb8a
Salanova, M., Llorens, S. y 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
Spector, P. E., Fox, S., Penney, L. M., Bruursema, K., Goh, A. y Kessler, S. (2006). The dimensionality of counterproductivity: Are all counterproductive behaviors created equal? Journal of Vocational Behavior, 68(3), 446-460. https://doi.org/10.1016/j.jvb.2005.10.005
Spector, P. E. y Fox, S. (2010). Theorizing about the deviant citizen: An attributional explanation of the interplay of organizational citizenship and counterproductive work behavior. Human Resource Management Review, 20(2), 132-143. https://doi.org/10.1016/j.hrmr.2009.06.002
Tarafdar, M., Tu, Q., Ragu-Nathan, B. S. y Ragu-Nathan, T. S. (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
Tarafdar, M., Cooper, C. L. y Stich, J. (2017). The technostress trifecta ‐ techno eustress, techno distress and design: Theoretical directions and an agenda for research. Information Systems Journal, 29(1), 6-42. (Primera publicación). https://doi.org/10.1111/isj.12169
Van-Vianen, A. E. M. (2018). Person-environment fit: A review of its basic tenets. Annual Review of Organizational Psychology and Organizational Behavior, 5, 75-101. https://doi.org/10.1146/annurev-orgpsych-032117-104702
Villavicencio-Ayub, E., Ibarra, D. G. y Calleja, N. (2020). Technostress in the Mexican population and its relationship with sociodemographic and labor variables. Psicogente, 23(44), 27-53. http://www.scielo.org.co/scielo.php?script=sci_abstract&pid=S0124-01372020000200027&lng=en&nrm=iso
Werner, J. M. (1994). Dimensions that make a difference: Examining the impact of in-role and extrarole behaviors on supervisory ratings. Journal of Applied Psychology, 79(1), 98-107. https://doi.org/10.1037/0021-9010.79.1.98
Xu, C., Yao, Z. y Xiong, Z. (2023). The impact of work-related use of information and communication technologies after hours on time theft. Journal of Business Ethics, 187, 185-198. https://doi.org/10.1007/s10551-022-05167-1
Zempoalteca-Durán, B., González-Martínez, J. y Guzmán-Flores, T. (2023). Competencia digital docente para la mediación en ambientes virtuales mixtos. Apertura, 15(1), 102-121. http://dx.doi.org/10.32870/Ap.v15n1.2276
Downloads
Submitted
2025-09-23Published
Issue
Section
License
Copyright (c) 2026 People and Technology Management Journal
This work is licensed under a Creative Commons Attribution 4.0 International License.
