A Novel Construct To Measure Employees’ Technology-Related Experiences of Well-Being: Empirical Validation of the Techno-Work Engagement Scale (TechnoWES)
References
- Bakker, A. B., Albrecht, S. L., & Leiter, M. P. (2011). Key questions regarding work engagement. European Journal of Work and Organizational Psychology, 20(1), 4–28. DOI: 10.1080/1359432X.2010.485352
- Bakker, A. B., & Demerouti, E. (2007). The job demands-resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. DOI: 10.1108/02683940710733115
- Bakker, A. B., & Demerouti, E. (2017). Job demands–resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273–285. DOI: 10.1037/ocp0000056
- Bordi, L., Okkonen, J., Mäkiniemi, J.-P., & Heikkilä-Tammi, K. (2018). Communication in the digital work environment: Implications for wellbeing at work 1. Nordic Journal of Working Life Studies, 8(29). DOI: 10.18291/njwls.v8iS3.105275
- Brunner, M., Nagy, G., & Wilhelm, O. (2012). A tutorial on hierarchically structured constructs. Journal of Personality, 80(4), 796–846. DOI: 10.1111/j.1467-6494.2011.00749.x
- Carayon, P., & Smith, M. J. (2014).
The balance concept revisited: Finding balance to reduce stress in a frantic world of IT . In C. Korunka & P. Hoonakker (Eds.), The impact of ICT on quality of working life (pp. 105–121). Dordrecht, Netherlands: Springer. DOI: 10.1007/978-94-017-8854-0_7 - Day, A., Paquet, S., Scott, N., & Hambley, L. (2012). Perceived information and communication technology (ICT) demands on employee outcomes: The moderating effect of organizational ICT support. Journal of Occupational Health Psychology, 17(4), 473–491. DOI: 10.1037/a0029837
- Day, A., Scott, N., & Kelloway, E. K. (2010).
Information and communication technology: Implications for job stress and employee well-being . In P. L. Perrewé and D. C. Ganster (Eds.), New developments in theoretical and conceptual approaches to job stress (Research in Occupational Stress and Well-being, Vol. 8, pp. 317–350). Bingley, UK: Emerald. DOI: 10.1108/S1479-3555(2010)0000008011 - de Bruin, G. P., & Henn, C. M. (2013). Dimensionality of the 9-item Utrecht Work Engagement Scale (UWES-9). Psychological Reports, 112(3), 788–799. DOI: 10.2466/01.03.PR0.112.3.788-799
- Fischer, C., & Pöhler, A. (2018).
Supporting the change to digitalized production environments through learning organization development . In C. Harteis (Ed.), The Impact of Digitalization in the Workplace (pp. 141–160). Cham: Springer. DOI: 10.1007/978-3-319-63257-5_10 - Fisher, G. G., Matthews, R. A., & Gibbons, A. M. (2016). Developing and investigating the use of single-item measures in organizational research. Journal of Occupational Health Psychology, 21(1), 3–23. DOI: 10.1037/a0039139
- Hakanen, J. (2009). Työn imun arviointimenetelmä – työn imu -menetelmän (Utrecht Work Engagement Scale) käyttäminen, validiointi ja viitetiedot Suomessa [Assessing Work Engagement with the Finnish version of the UWES: The use, validation and normscores]. Helsinki: Finnish Institute of Occupational Health. Retrieved from
http://www.wilmarschaufeli.nl/publications/Schaufeli/Test%20Manuals/Test_manual_UWES_Finnish.pdf - Hakanen, J. J., Ropponen, A., Schaufeli, W. B., & De Witte, H. (2019). Who is engaged at work? A large-scale study in 30 European countries. Journal of Occupational and Environmental Medicine, 61(5), 373–381. DOI: 10.1097/JOM.0000000000001528
- Halbesleben, J. R. (2010).
A meta-analysis of work engagement: Relationships with burnout, demands, resources, and consequences . In A. B. Bakker & M. P. Leiter (Eds.), Work engagement: A handbook of essential theory and research (pp. 102–117). Hove, UK: Psychology Press. - Hancock, G. R., & Mueller, R. O. (2011). The reliability paradox in assessing structural relations within covariance structure models. Educational and Psychological Measurement, 71(2), 306–324. DOI: 10.1177/0013164410384856
- Hu, L.-T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling: A Multidisciplinary Journal, 6(1), 1–55. DOI: 10.1080/10705519909540118
- Huhtala, M., & Feldt, T. (2016). The path from ethical organizational culture to employee commitment: Mediating roles of value congruence and work engagement. Scandinavian Journal of Work and Organizational Psychology, 1(1): 3, 1–14. DOI: 10.16993/sjwop.6
- Kim, W. H., Park, J. G., & Kwon, B. (2017). Work engagement in South Korea: Validation of the Korean version 9-Item Utrecht Work Engagement Scale. Psychological Reports, 120(3), 561–578. DOI: 10.1177/0033294117697085
- Korunka, C., & Hoonakker, P. (2014).
The future of ICT and quality of working life: Challenges, benefits, and risks . In C. Korunka & P. Hoonakker (Eds.), The impact of ICT on quality of working life (pp. 205–219). Dordrecht, Netherlands: Springer. DOI: 10.1007/978-94-017-8854-0 - Korunka, C., & Vartiainen, M. (2017).
Digital Technologies at Work Are Great, Aren’t They? The Development of Information and Communication Technologies (ICT) and Their Relevance in the World of Work . In N. Chmiel, F. Fraccaroli & M. Sverke (Eds.), An Introduction to Work and Organizational Psychology (pp. 102–120). US: John Wiley and Sons. DOI: 10.1002/9781119168058.ch6 - Kulikowski, K. (2017). Do we all agree on how to measure work engagement? Factorial validity of Utrecht Work Engagement Scale as a standard measurement tool – A literature review. International Journal of Occupational Medicine and Environmental Health, 30(2), 161–175. DOI: 10.13075/ijomeh.1896.00947
- Lam, S. F., Cheng, R. W. Y., & Choy, H. C. (2010). School support and teacher motivation to implement project-based learning. Learning and Instruction, 20(6), 487–497. DOI: 10.1016/j.learninstruc.2009.07.003
- Li, C. H. (2016). Confirmatory factor analysis with ordinal data: Comparing robust maximum likelihood and diagonally weighted least squares. Behavior Research Methods, 48(3), 936–949. DOI: 10.3758/s13428-015-0619-7
- Li, M., Wang, Z., You, X., & Gao, J. (2015). Value congruence and teachers’ work engagement: The mediating role of autonomous and controlled motivation. Personality and Individual Differences, 80, 113–118. DOI: 10.1016/j.paid.2015.02.021
- Marsh, H. W., Hau, K. T., & Wen, Z. (2004). In search of golden rules: Comment on hypothesis-testing approaches to setting cutoff values for fit indexes and dangers in overgeneralizing Hu and Bentler’s (1999) findings. Structural Equation Modeling, 11(3), 320–341. DOI: 10.1207/s15328007sem1103_2
- Mäkiniemi, J.-P., Ahola, S., & Joensuu, J. (2019). How are technology-related workplace resources associated with techno-work engagement among a group of Finnish teachers? Seminar.net, International Journal of Media, Technology and Lifelong Learning, 15(1), 1–21. Retrieved from
https://journals.hioa.no/index.php/seminar/article/view/2919 - Mäkiniemi, J.-P., Ahola, S., Syvänen, A., Heikkilä-Tammi, K., & Viteli, J. (2017). Digitalisoituva koulu – hyvinvoivat opettajat? Miten edistää digitalisoitumista ja työhyvinvointia. Tampere: University of Tampere, TRIM Research Reports 24. Retrieved from
http://urn.fi/URN:ISBN:978-952-03-0542-0 - McNeish, D., An, J., & Hancock, G. R. (2018). The thorny relation between measurement quality and fit index cutoffs in latent variable models. Journal of Personality Assessment, 100(1), 43–52. DOI: 10.1080/00223891.2017.1281286
- Nielsen, K., Nielsen, M. B., Ogbonnaya, C., Känsälä, M., Saari, E., & Isaksson, K. (2017). Workplace resources to improve both employee well-being and performance: A systematic review and meta-analysis. Work and Stress, 31(2), 101–120. DOI: 10.1080/02678373.2017.1304463
- O’Driscoll, M. P., Biron, C., & Cooper, C. L. (2009).
Work-related technological change and psychological well-being . In Y. Amichai-Hamburger (Ed.), Technology and psychological well-being (pp. 106–130). Cambridge, UK: Cambridge University Press. DOI: 10.1017/CBO9780511635373.005 - O’Sullivan, G. (2010). The relationship between hope, eustress, self-efficacy, and life satisfaction among undergraduates. Social Indicators Research, 101(1), 155–172. DOI: 10.1007/s11205-010-9662-z
- 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. DOI: 10.1287/isre.1070.0165
- Rodríguez-Sánchez, A. M., Schaufeli, W. B., Salanova, M., & Cifre, E. (2008). Flow experience among information and communication technology users. Psychological Reports, 102(1), 29–39. DOI: 10.2466/pr0.102.1.29-39
- Rolandsson, B., Dølvik, J. E., Hedenus, A., Steen, J. R., Ilsøe, A., Larsen, T. P., & Alasoini, T. (2019). Digitalization in Nordic manufacturing: Some case-study illustrations. Nordic Future of Work Project 2017–2020: Working Paper 3.
- 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. DOI: 10.1080/00207594.2012.680460
- Salanova, M., Llorens, S., & Ventura, M. (2014).
Technostress: The dark side of technologies . In C. Korunka & P. Hoonakker (Eds.), The impact of ICT on quality of working life (pp. 87–103). Dordrecht, Netherlands: Springer. DOI: 10.1007/978-94-017-8854-0_6 - Salmela-Aro, K., & Upadaya, K. (2012). The schoolwork engagement inventory: Energy, dedication, and absorption (EDA). European Journal of Psychological Assessment, 8(1), 60–67. DOI: 10.1027/1015-5759/a000091
- Schaufeli, W. B., & Bakker, A. B. (2004). Job demands, job resources, and their relationship with burnout and engagement: A multi-sample study. Journal of Organizational Behavior, 25(3), 293–315. DOI: 10.1002/job.248
- Schaufeli, W. B., Bakker, A. B., & Salanova, M. (2006). The measurement of work engagement with a short questionnaire: A cross-national study. Educational and Psychological Measurement, 66(4), 701–716. DOI: 10.1177/0013164405282471
- Schaufeli, W. B., Salanova, M., González-Romá, V., & Bakker, A. B. (2002). The measurement of engagement and burnout: A two sample confirmatory factor analytic approach. Journal of Happiness Studies, 3(1), 71–92. DOI: 10.1023/A:1015630930326
- Schaufeli, W. B., Shimazu, A., Hakanen, J., Salanova, M., & De Witte, H. (2017).
An ultra-short measure for work engagement: The UWES-3 validation across five countries . European Journal of Psychological Assessment. Advance online publication. DOI: 10.1027/1015-5759/a000430 - Schreiber, J. B., Nora, A., Stage, F. K., Barlow, E. A., & King, J. (2006). Reporting structural equation modeling and confirmatory factor analysis results: A review. The Journal of Educational Research, 99(6), 323–338. DOI: 10.3200/JOER.99.6.323-338
- Schwab, K. (2015, December 12). The Fourth Industrial Revolution. What it means and how to respond. Foreign Affairs. Retrieved from
https://www.foreignaffairs.com/articles/2015-12-12/fourth-industrial-revolution - Seppälä, P., Mauno, S., Feldt, T., Hakanen, J., Kinnunen, U., Tolvanen, A., & Schaufeli, W. (2009). The construct validity of the Utrecht Work Engagement Scale: Multisample and longitudinal evidence. Journal of Happiness Studies, 10(4), 459–481. DOI: 10.1007/s10902-008-9100-y
- Sinval, J., Marques-Pinto, A., Queirós, C., & Marôco, J. (2018). Work engagement among rescue workers: Psychometric properties of the Portuguese UWES. Frontiers in Psychology, 8, 22–29. DOI: 10.3389/fpsyg.2017.02229
- Skaalvik, E. M., & Skaalvik, S. (2011). Teacher job satisfaction and motivation to leave the teaching profession: Relations with school context, feeling of belonging, and emotional exhaustion. Teaching and Teacher Education, 27(6), 1029–1038. DOI: 10.1016/j.tate.2011.04.001
- Sonnentag, S. (2017). A task-level perspective on work engagement: A new approach that helps to differentiate the concepts of engagement and burnout. Burnout Research, 5, 12–20. DOI: 10.1016/j.burn.2017.04.001
- Sortheix, F. M., Dietrich, J., Chow, A., & Salmela-Aro, K. (2013). The role of career values for work engagement during the transition to working life. Journal of Vocational Behavior, 83(3), 466–475. DOI: 10.1016/j.jvb.2013.07.003
- Stich, J.-F., Farley, S., Cooper, C., & Tarafdar, M. (2015). Information and communication technology demands: Outcomes and interventions. Journal of Organizational Effectiveness: People and Performance, 2(4), 327–345. DOI: 10.1108/JOEPP-09-2015-0031
- Stock, T., Obenaus, M., Kunz, S., & Kohl, H. (2018). Industry 4.0 as enabler for a sustainable development: A qualitative assessment of its ecological and social potential. Process Safety and Environmental Protection, 118, 254–267. DOI: 10.1016/j.psep.2018.06.026
- Syvänen, A., Mäkiniemi, J. P., Syrjä, S., Heikkilä-Tammi, K., & Viteli, J. (2016). When does the educational use of ICT become a source of technostress for Finnish teachers? Seminar.net, International Journal of Media, Technology and Lifelong Learning, 12(2), 95–109. Retrieved from
https://journals.hioa.no/index.php/seminar/article/view/2281 - Tadić, M., Bakker, A. B., & Oerlemans, W. G. (2015). Challenge versus hindrance job demands and well-being: A diary study on the moderating role of job resources. Journal of Occupational and Organizational Psychology, 88(4), 702–725. DOI: 10.1111/joop.12094
- 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. DOI: 10.1111/isj.12169
- Ventura, M., Salanova, M., & Llorens, S. (2015). Professional self-efficacy as a predictor of burnout and engagement: The role of challenge and hindrance demands. The Journal of Psychology, 149(3), 277–302. DOI: 10.1080/00223980.2013.876380
- Wang, L., Ertmer, P. A., & Newby, T. J. (2004). Increasing preservice teachers’ self-efficacy beliefs for technology integration. Journal of Research on Technology in Education, 36(3), 231–250. DOI: 10.1080/15391523.2004.10782414
- Wefald, A. J., Mills, M. J., Smith, M. R., & Downey, R. G. (2012). A Comparison of three job engagement measures: Examining their factorial and criterion-related validity. Applied Psychology: Health and Well-Being, 4(1), 67–90. DOI: 10.1111/j.1758-0854.2011.01059.x
- World Economic Forum. (2018). The future of jobs report 2018. Geneva, Switzerland: World Economic Forum.
- Xanthopoulou, D., Bakker, A. B., Demerouti, E., & Schaufeli, W. B. (2007). The role of personal resources in the job demands-resources model. International Journal of Stress Management, 14(2), 121–141. DOI: 10.1037/1072-5245.14.2.121
DOI: https://doi.org/10.16993/sjwop.79 | Journal eISSN: 2002-2867
Language: English
Page range: 4 - 4
Submitted on: Dec 4, 2018
Accepted on: Mar 19, 2020
Published on: Apr 17, 2020
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2020 Jaana-Piia Mäkiniemi, Salla Ahola, Johanna Joensuu, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.