Explorando habilidades requeridas para la industria 4.0: Un enfoque orientado al trabajador

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DOI: https://doi.org/10.6018/analesps.444311
Palabras clave: Habilidades, Industria 4.0, Era digital, Preparación laboral, COVID-19

Resumen

Tecnologías emergentes están dando forma al mundo del trabajo, creando así una industria cada vez más digital, también conocida como "Industria 4.0". Por tanto, examinar el requirimiento de habilidades se vuelve esencial para facilitar la adaptación organizacional a esta revolución tecnológica. El objetivo de este estudio fue explorar la percepción de las habilidades requeridas por los trabajadores de una empresa manufacturera altamente tecnológica. En el Estudio 1 (n = 671), se realizó un análisis factorial exploratorio para identificar grupos relevantes de habilidades. Un año después, en el Estudio 2 (n = 176), confirmamos la estructural factorial a través de un análisis factorial confirmatorio y realizamos un análisis de curva de crecimiento latente para examinar posibles cambios en las habilidades requeridas debido al confinamiento y el trabajo remoto forzado durante la pandemia del COVID-19. Los resultados mostraron que las habilidades cognitivas, funcionales del negocio, estratégicas y de gestión de personas se consideran recursos importantes para la industria 4.0, siendo las habilidades funcionales del negocio más relevantes en el tiempo 2. Además, identificamos diferencias entre gerentes y subordinados con respecto a tales habilidades. Discutimos las implicaciones teóricas y prácticas para el desarrollo de habilidades en la era digital.

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Ackerman, P. L., & Kanfer, R. (2020). Work in the 21st century: New directions for aging and adult development. American Psychologist, 75(4), 486-498. https://doi.org/10.1037/amp0000615

Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211. https://doi.org/10.1016/0749-5978(91)90020-t

Andrade, E. G. S. A., Queiroga, F., & Valentini, V. (2020). Versión reducida de la Escala de Autoevaluación del Desempeño en el Trabajo. Anales De Psicología, 36(3), 543-552. https://doi.org/10.6018/analesps.402661

Bakhshi, H., Downing, J. M., Osborne, M. A., & Schneider, P. (2017). The future of skills: Employment in 2030. London: Pearson and Nesta.

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Englewood Cliffs, NJ: Prentice Hall. https://doi.org/10.5465/amr.1987.4306538

Bandura, A. (2018). Toward a psychology of human agency: Pathways and reflections. Perspectives on Psychological Science, 13(2), 130-136. https://doi.org/10.1177/1745691617699280

Basoredo, C. (2011). Una perspectiva y un modo de explicar la competencia desde el ámbito del desempeño de tareas. Anales de Psicología, 27(2), 457-472.

Battistelli, A. & Odoardi, C. (2018). Entre changement et innovation : Le défi de la 4ème révolution industrielle. In Lauzier, M. & Lemieux, N. (Eds.) (2018). Améliorer la gestion du changement dans les organisations. Québec : Presses de l’Université du Québec. https://doi.org/10.2307/j.ctv10qqz06.9

Bliese, P. D., & Ployhart, R. E. (2002). Growth modeling using random coefficient models: Model building, testing, and illustrations. Organizational Research Methods, 5(4), 362-387. https://doi.org/10.1177%2F109442802237116

Brislin, R. W. (1980). Translation and content analysis of oral and written material. In H. C. Triandis, & J. W. Berry (Eds.), Handbook of cross-cultural psychology (pp. 398–444). Boston: Allyn and Bacon.

Browne, M. W., & Cudeck, R. (1992). Alternative ways of assessing model fit. Sociological Methods & Research, 21(2), 230-258. https://doi.org/10.1177/0049124192021002005

Burrus, J., Jackson, T., Xi, N., & Steinberg, J. (2013). Identifying the most important 21st century workforce competencies: An analysis of the Occupational Information Network (O* NET). ETS Research Report Series, 2013(2), 1-55. https://doi.org/10.1002/j.2333-8504.2013.tb02328.x

Campion, M. C., Schepker, D. J., Campion, M. A., & Sanchez, J. I. (2020). Competency modeling: A theoretical and empirical examination of the strategy dissemination process. Human Resource Management, 59(3), 291-306. https://doi.org/10.1002/hrm.21994

Cascio, W. F., & Montealegre, R. (2016). How technology is changing work and organizations. Annual Review of Organizational Psychology and Organizational Behavior, 3, 349-375. https://doi.org/10.1146/annurev-orgpsych-041015-062352

Chaka, C. (2020). Skills, competencies and literacies attributed to 4IR/Industry 4.0: Scoping review. IFLA Journal, 46(4), 369-399. https://doi.org/10.1177/0340035219896376

Collins, C., Earl, J., Parker, S., & Wood, R. (2020). Looking back and looking ahead: Applying organisational behaviour to explain the changing face of work. Australian Journal of Management. Advanced online publication. https://doi.org/10.1177/0312896220934857

Dierdorff, E., & Ellington, K. (2019). O* NET and the Nature of Work. In, F. L. Oswald, T. S. Behrend, & L. L. Foster (Eds.), Workforce Readiness and the Future of Work (pp. 110-130). New York: Routledge. https://doi.org/10.4324/9781351210485-7

Finney, S. J., DiStefano, C. (2006). Non-normal and categorical data in structural equation modeling. Structural equation modeling: A second course. In R. C. Serlin, Quantitative methods in education and the behavioral sciences: Issues, research, and teaching (p. 269-314. Information Greenwich: Age Publishing.

Durak, U. (2018). Flight 4.0: The changing technology landscape of aeronautics. In Durak U., Becker J., Hartmann S., Voros N. (eds), Advances in Aeronautical Informatics (pp. 3-13). Springer, Cham. https://doi.org/10.1007/978-3-319-75058-3_1

Frey, C. B., & Osborne, M. A. (2017). The future of employment: How susceptible are jobs to computerisation?. Technological forecasting and social change, 114, 254-280. https://doi.org/10.1016/j.techfore.2016.08.019

Goretzko, D., Pham, T. T. H., & Bühner, M. (2019). Exploratory factor analysis: Current use, methodological developments and recommendations for good practice. Current Psychology, Advance online publication. https://doi.org/10.1007/s12144-019-00300-2

Griffin, M. A., Neal, A., & Parker, S. K. (2007). A new model of work role performance: Positive behavior in uncertain and interdependent contexts. Academy of Management Journal, 50(2), 327-347. https://doi.org/10.5465/amj.2007.24634438

Guzmán, V. E., Muschard, B., Gerolamo, M., Kohl, H., & Rozenfeld, H. (2020). Characteristics and Skills of Leadership in the Context of Industry 4.0. Procedia Manufacturing, 43, 543-550. https://doi.org/10.1016/j.promfg.2020.02.167

Guzzo, R. A. (2019). Workforce Readiness in Times of Change: Employer Perspectives. In, F. L. Oswald, T. S. Behrend, & L. L. Foster (Eds.), Workforce Readiness and the Future of Work (pp. 71-91). New York: Routledge. https://doi.org/10.4324/9781351210485-5

Herde, C., Lievens, F., Solberg, E. G., Strong, M. H., & Burkholder, G. J. (2019). Situational judgment tests as measures of 21st century skills: Evidence across Europe and Latin America. Journal of Work and Organizational Psychology, 35(2), 65-74. https://doi.org/10.5093/jwop2019a8

Hu, L.-T., & Bentler, P. M. (1998). Fit indices in covariance structure modeling: Sensitivity to underparameterized model misspecification. Psychological Methods, 3(4), 424–453. https://doi.org/10.1037/1082-989X.3.4.424

Johns, G. (2018). Advances in the treatment of context in organizational research. Annual Review of Organizational Psychology and Organizational Behavior, 5, 21-46. https://doi.org/10.1146/annurev-orgpsych-032117-104406

Kanfer, R., & Blivin, J. (2019). Prospects and Pitfalls in Building the Future Workforce. In, F. L. Oswald, T. S. Behrend, & L. L. Foster (Eds.), Workforce Readiness and the Future of Work (pp. 251-259). New York: Routledge. https://doi.org/10.4324/9781351210485-14

Katz, D., & Kahn, R. L. (1978). The social psychology of organizations. New York: Wiley.

Kipper, L. M., Furstenau, L. B., Hoppe, D., Frozza, R., & Iepsen, S. (2020). Scopus scientific mapping production in industry 4.0 (2011–2018): a bibliometric analysis. International Journal of Production Research, 58(6), 1605-1627. https://doi.org/10.1080/00207543.2019.1671625

Lloret-Segura, S., Ferreres-Traver, A., Hernandez-Baeza, A., & Tomas-Marco, I. (2014). Exploratory item factor analysis: A practical guide revised and updated. Anales de Psicología, 30(3), 1151-1169. http://dx.doi.org/10.6018/analesps.30.3.199361

Lord, R. G., Day, D. V., Zaccaro, S. J., Avolio, B. J., & Eagly, A. H. (2017). Leadership in applied psychology: Three waves of theory and research. Journal of Applied Psychology, 102(3), 434-451. https://doi.org/10.1037/apl0000089

Maisiri, W., Darwish, H., & van Dyk, L. (2019). An investigation of industry 4.0 skills requirements. South African Journal of Industrial Engineering, 30(3), 90-105. http://dx.doi.org/10.7166/30-3-2230

McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah: Lawrence Erlbaum Associates, Inc.

McNeish, D. (2018). Thanks coefficient alpha, we’ll take it from here. Psychological Methods, 23(3), 412–433. https://doi.org/10.1037/met0000144

Morgeson, F. P., Mitchell, T. R., & Liu, D. (2015). Event system theory: An event-oriented approach to the organizational sciences. Academy of Management Review, 40(4), 515-537. https://doi.org/10.5465/amr.2012.0099

Motyl, B., Baronio, G., Uberti, S., Speranza, D., & Filippi, S. (2017). How will change the future engineers’ skills in the Industry 4.0 framework? A questionnaire survey. Procedia Manufacturing, 11, 1501-1509. https://doi.org/10.1016/j.promfg.2017.07.282

Mumford, M. D., & Connelly, M. S. (1991). Leaders as creators: Leader performance and problem solving in ill-defined domains. Leadership Quarterly, 2(4), 289−315. https://doi.org/10.1016/1048-9843(91)90017-V

Mumford, T. V., Campion, M. A., & Morgeson, F. P. (2007). The leadership skills strataplex: Leadership skill requirements across organizational levels. The Leadership Quarterly, 18(2), 154-166. https://doi.org/10.1016/j.leaqua.2007.01.005

Oztemel, E., & Gursev, S. (2020). Literature review of Industry 4.0 and related technologies. Journal of Intelligent Manufacturing, 31(1), 127-182. https://doi.org/10.1007/s10845-018-1433-8

Pacchini, A. P. T., Lucato, W. C., Facchini, F., & Mummolo, G. (2019). The degree of readiness for the implementation of Industry 4.0. Computers in Industry, 113, 103125. https://doi.org/10.1016/j.compind.2019.103125

Peterson, N. G., Mumford, M. D., Borman, W. C., Jeanneret, P. R., Fleishman, E. A., Levin, K. Y., ... & Gowing, M. K. (2001). Understanding work using the Occupational Information Network (O* NET): Implications for practice and research. Personnel Psychology, 54(2), 451-492. https://doi.org/10.1111/j.1744-6570.2001.tb00100.x

Ployhart, R. E., & Vandenberg, R. J. (2010). Longitudinal research: The theory, design, and analysis of change. Journal of Management, 36(1), 94-120. https://doi.org/10.1177%2F0149206309352110

Prifti, L., Knigge, M., Kienegger, H., & Krcmar, H. (2017). A competency model for ‘Industrie 4.0’ employees. In: Leimeister JM and Brenner W (eds.). Internationalen Tagung Wirtschaftsinformatik (WI 2017, pp. 46–60). St Gallen, Switzerland. https://www.wi2017.ch/images/wi2017-0262.pdf

Salkin, C., Oner, M., Ustundag, A., & Cevikcan, E. (2018). A conceptual framework for Industry 4.0. In Alp, U., Emre, C. (eds.), Industry 4.0: Managing the digital transformation (pp. 3-23). Springer, Cham. https://doi.org/10.1007/978-3-319-57870-5_1

Sanchez, J. I., & Levine, E. L. (2012). The rise and fall of job analysis and the future of work analysis. Annual review of psychology, 63, 397-425. https://doi.org/10.1146/annurev-psych-120710-100401

Schwab, K. (2017). The fourth industrial revolution. New York: Crown Business.

Sousa, M. J., & Wilks, D. (2018). Sustainable skills for the world of work in the digital age. Systems Research and Behavioral Science, 35(4), 399-405. https://doi.org/10.1002/sres.2540

Strong, M., Burkholder, G. J., Solberg, E., Stellmack, A., Presson, W., & Seitz, J. B. (2020). Development and validation of a global competency framework for preparing new graduates for early career professional roles. Higher Learning Research Communications, 10(2), 67-115. https://doi.org/10.18870/hlrc.v10i2.1205

Tippins, N., & Hilton, M. (2010). A database for a changing economy: Review of the Occupational Information Network (O*NET). Washington, DC: The National Academies Press.

Tjahjono, B., Esplugues, C., Ares, E., & Pelaez, G. (2017). What does industry 4.0 mean to supply chain?. Procedia Manufacturing, 13, 1175-1182. https://doi.org/10.1016/j.promfg.2017.09.191

Van Deursen, A. J., Helsper, E. J., & Eynon, R. (2016). Development and validation of the Internet Skills Scale (ISS). Information, Communication & Society, 19(6), 804-823. https://doi.org/10.1080/1369118X.2015.1078834

Van Laar, E., Van Deursen, A. J., Van Dijk, J. A., & De Haan, J. (2018). 21st-century digital skills instrument aimed at working professionals: Conceptual development and empirical validation. Telematics and informatics, 35(8), 2184-2200. https://doi.org/10.1016/j.tele.2018.08.006

Vogel, B., Reichard, R. J., Batistič, S., & Černe, M. (2020). A bibliometric review of the leadership development field: How we got here, where we are, and where we are headed. The Leadership Quarterly, 101381. https://doi.org/10.1016/j.leaqua.2020.101381

Wickham, M., & Parker, M. (2007). Reconceptualising organizational role theory for contemporary organizational contexts. Journal of Managerial Psychology, 22(5), 440-464. https://doi.org/10.1108/02683940710757182

Wood, R., & Bandura, A. (1989). Social cognitive theory of organizational management. Academy of management Review, 14(3), 361-384. https://doi.org/10.5465/amr.1989.4279067

Zhong, R. Y., Xu, X., Klotz, E., & Newman, S. T. (2017). Intelligent manufacturing in the context of industry 4.0: a review. Engineering, 3(5), 616-630. https://doi.org/10.1016/J.ENG.2017.05.015

Zickar, M. J. (2020). Measurement Development and Evaluation. Annual Review of Organizational Psychology and Organizational Behavior, 7, 213-222. https://doi.org/10.1146/annurev-orgpsych-012119-044957

Publicado
11-08-2021
Cómo citar
Peña-Jimenez, M., Battistelli, A., Odoardi, C., & Antino, M. (2021). Explorando habilidades requeridas para la industria 4.0: Un enfoque orientado al trabajador. Anales de Psicología / Annals of Psychology, 37(3), 577–588. https://doi.org/10.6018/analesps.444311
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Psicología social y de las organizaciones

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