Digital Well-Being Work System Scale Development Using Content Validity and Exploratory Factor Analysis

Authors

  • Annisa Ciptagustia Indonesia University of Education image/svg+xml Author
  • Rofi Rofaida Indonesia University of Education image/svg+xml Author
  • Heny Hendrayati Indonesia University of Education image/svg+xml Author
  • Riskeu Faldesiani Indonesia University of Education image/svg+xml Author
  • Murni Zarina Razali Universiti Teknologi MARA (UiTM) Author
  • M. Ikhwan Maulana Haeruddin Makassar State University Author

DOI:

https://doi.org/10.17509/image.2025.165

Keywords:

Content Validity Index, Digital Well-Being, Exploratory Factor Analysis, Sustainable HRM, Technostress

Abstract

Digitalization intensifies connectivity demands and exposes early-career Generation Z banking employees to digital overload and boundary erosion, yet organizations still lack a system-level diagnostic to assess HR practices that protect digital well-being while sustaining performance. This study develops the Digital Well-Being Work System (DWWS) scale by translating HR-systems logic into six actionable domains and testing its initial psychometric properties. Item development combined domain specification and readability checks, followed by expert–user review (six raters) using the Content Validity Index (CVI). A main survey of 294 Generation Z banking employees in West Java was then analyzed using exploratory factor analysis (Principal Axis Factoring with Varimax rotation). Scale-level CVI showed excellent relevance and clarity (S-CVI/Ave = 0.965), with minor wording refinements to a small set of non-unanimous items before constructing testing. EFA supported a stable six-factor solution (KMO = 0.852; Bartlett’s p < .001) with moderate-to-strong loadings (≈0.555–0.751) across 24 retained items. The resulting DWWS offers a practical instrument to audit and improve organizational support for healthy digital work; future research should confirm the structure via CFA in an independent sample and test predictive validity across sectors.

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References

Aggarwal, M., Dutta, M., Madaan, V., Pham, L., & Lourens, M. (2023). Impact of green human resource management on sustainable performance. E3S Web of Conferences, 399, 07005. https://doi.org/10.1051/e3sconf/202339907005

Anshima, A., Bhardwaj, B., Sharma, D., & Chand, M. (2024). Ensuring sustainability through green HRM practices: A review, synthesis and research avenues. Journal of Organizational Effectiveness: People and Performance, 11(4), 1120–1140. https://doi.org/10.1108/JOEPP-10-2023-0493

Arman, R., Saleem, I., & Ghani, A. S. (2023). Critical review of sustainable human resource management (SHRM) practices, approaches, and outcomes. Journal of Cleaner Production, 382, 135291. https://doi.org/10.1016/j.jclepro.2022.135291

Arslankara, V. B., Demir, A., Öztaş, Ö., & Usta, E. (2022). Digital well-being scale validity and reliability study. Journal of Teacher Education and Lifelong Learning, 4(2), 263–274.

Ayyagari, R., Grover, V., & Purvis, R. L. (2011). Technostress: Technological antecedents and implications. MIS Quarterly, 35(4), 831–858. https://doi.org/10.2307/41409963

Badan Pusat Statistik. (2024). Statistik Pemuda Indonesia 2024 (Vol. 22, No. 04200.24026). Direktorat Statistik Kesejahteraan Rakyat.

Bakker, A. B., & Demerouti, E. (2007). The job demands–resources model: State of the art. Journal of Managerial Psychology, 22(3), 309–328. https://doi.org/10.1108/02683940710733115

Bashir, H., Memon, M., & Muenjohn, N. (2024). Fostering a safe workplace: The transformative impact of responsible leadership and employee-oriented HRM. International Journal of Manpower, 45(9), 1721–1740. https://doi.org/10.1108/IJM-06-2023-0318

Becker, B. E., & Huselid, M. A. (1998). High performance work systems and firm performance: A synthesis of research and managerial implications. In G. R. Ferris (Ed.), Research in Personnel and Human Resources Management (Vol. 16, pp. 53–101). JAI Press.

Boxall, P., & Macky, K. (2009). Research and theory on high-performance work systems: Progressing the high-involvement stream. Human Resource Management Journal, 19(1), 3–23. https://doi.org/10.1111/j.1748-8583.2008.00082.x

Brougham, D., & Haar, J. (2021). Smart technology and employment vulnerability: A comparative analysis across five countries. New Technology, Work and Employment, 36(2), 187–203. https://doi.org/10.1111/ntwe.12187

Buga, L. (2024). High retention HR systems: Bridging employee wellbeing and organizational commitment for sustainable success. Virgil Madgearu Review of Economic Studies and Research, 17(1), 45–60. https://doi.org/10.24193/rvm.2024.17.107

Chand, P. K., & Mishra, N. (2024). Detached effects of doom scrolling on Generation Z employee performance in the Indian information technology sector. Information Discovery and Delivery, 52(4), 412–425. https://doi.org/10.1108/IDD-07-2023-0081

Chari, R., Sauter, S. L., Petrun Sayers, E. L., Huang, W., Fisher, G. G., & Chang, C.-C. (2022). Development of the National Institute for Occupational Safety and Health Worker Well-Being Questionnaire. Journal of Occupational and Environmental Medicine, 64(8), 707–717. https://doi.org/10.1097/JOM.0000000000002585

Chillakuri, B., & Vanka, S. (2020). Examining the effects of workplace well-being and high-performance work systems on health harm: A sustainable HRM perspective. Society and Business Review, 15(2), 115–134. https://doi.org/10.1108/SBR-03-2020-0033

Choi, W., Wang, W., Kim, H., Lee, J., & Kang, S. (2024). Unraveling the link between perceived ESG and psychological well-being: The moderated mediating roles of job meaningfulness and pay satisfaction. Behavioral Sciences, 14(7), 606. https://doi.org/10.3390/bs14070606

Ciptagustia, A., & Faldesiani, R. (2024). Redefining well-being: A CFA-based and Rasch model approach to employee well-being measurement for Generation Z [Unpublished research report]. Universitas Pendidikan Indonesia (UPI).

Ciptagustia, A., Faldesiani, R., & Firmansyah, Y. (2024). Exploring future research of employee well-being: A bibliometric approach. Proceedings of the International Conference on Economics, Business, Education, and Finance (ICEBEF 2024). Universitas Pendidikan Indonesia (UPI). (Conference paper, in press).

Daovisan, H., & Intarakamhang, U. (2024). Measuring occupational well-being indicators: Scale construction and validation. Behavioral Sciences, 14(3), 248. https://doi.org/10.3390/bs14030248

De Stefano, F., Bagdadli, S., & Camuffo, A. (2023). Remote working, well-being, and performance in the digital era: A systematic literature review and research agenda. Human Resource Management Review, 33(4), 100929. https://doi.org/10.1016/j.hrmr.2023.100929

Derks, D., van Mierlo, H., & Schmitz, E. B. (2014). A diary study on work-related smartphone use, psychological detachment and exhaustion: Examining the role of the perceived segmentation norm. Journal of Occupational Health Psychology, 19(1), 74–84. https://doi.org/10.1037/a0035076

Dilshan, H., & Annuar, N. (2020). Exploring HRM practices to retain Generation-Z in information technology sector: A systematic literature review. International Journal of Advanced Science and Technology, 29(8), 1325–1335.

Fabrigar, L. R., Wegener, D. T., MacCallum, R. C., & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. https://doi.org/10.1037/1082-989X.4.3.272

Gomes, G., Coelho, A., & Ribeiro, N. (2024). A systematic literature review on sustainable HRM and its relations with employees’ attitudes: State of art and future research agenda. Journal of Organizational Effectiveness: People and Performance, 11(5), 1–22. https://doi.org/10.1108/JOEPP-11-2023-0497

Grant, C. A., Wallace, L. M., & Spurgeon, P. C. (2021). An exploration of the psychological factors affecting remote e-worker’s job effectiveness, well-being and work-life balance. Employee Relations, 43(2), 428–452. https://doi.org/10.1108/ER-01-2020-0021

Hamouche, S., & Marchand, A. (2021). Occupational e-mental health interventions: A systematic review. Computers in Human Behavior, 125, 106899. https://doi.org/10.1016/j.chb.2021.106899

Jarden, R. J., Siegert, R. J., Koziol-McLain, J., Bujalka, H., & Sandham, M. H. (2023). Wellbeing measures for workers: A systematic review and methodological quality appraisal. Frontiers in Public Health, 11, 1053179. https://doi.org/10.3389/fpubh.2023.1053179

Jiang, K., Lepak, D. P., Hu, J., & Baer, J. C. (2012). How does human resource management influence organizational outcomes? A meta-analytic investigation of mediating mechanisms. Academy of Management Journal, 55(6), 1264–1294. https://doi.org/10.5465/amj.2011.0088

Jora, R., Mittal, P., Kaushal, S., & Raghuvaran, S. (2023). Tech-enabled sustainable HR strategies: Fostering green practices. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 2496–2501). IEEE. https://doi.org/10.1109/ICACCS57279.2023.10113050

Kalei, A. (2024). Green human resource management practices and environment sustainability: From empirical evidence. Journal of Business and Management Studies, 6(3), 45–58. https://doi.org/10.32996/jbms.2024.6.3.19

Kopelman, R. E., Brief, A. P., & Guzzo, R. A. (1990). The role of climate and culture in productivity. In B. Schneider (Ed.), Organizational climate and culture (pp. 282–318). Jossey-Bass.

Kulkarni, V., & Rai, P. (2023). Generation Z talent management in organisations: An HR perspective. Journal of Survey in Fisheries Sciences, 10(1), 2275–2285. https://doi.org/10.53555/sfs.v10i1.2275

Laker, B., Patel, C., Budhwar, P., & Malik, A. (2022). How job crafting relates to digital resilience. MIT Sloan Management Review, 63(3), 55–62.

Lepak, D. P., Liao, H., Chung, Y., & Harden, E. E. (2006). A conceptual review of human resource management systems in strategic human resource management research. In J. J. Martocchio (Ed.), Research in Personnel and Human Resources Management (Vol. 25, pp. 217–271). Emerald Group Publishing. https://doi.org/10.1016/S0742-7301(06)25006-0

MacKinnon, N. J., Ambade, P. N., Hoffman, Z. T., Mehra, K., Ange, B., Ruffa, A., et al. (2024). Development of a new instrument to measure workplace mental health and well-being. Mayo Clinic Proceedings: Innovations, Quality & Outcomes, 8(6), 507–516. https://doi.org/10.1016/j.mayocpiqo.2024.09.002

Madero-Gómez, S. M., Rubio Leal, Y. L., Olivas-Luján, M., & Yusliza, M. Y. (2023). Companies could benefit when they focus on employee wellbeing and the environment: A systematic review of sustainable human resource management. Sustainability, 15(6), 5435. https://doi.org/10.3390/su15065435

Malik, A., Budhwar, P., & Srikanth, N. R. (2022). Gig work in a post-pandemic world: Evidence from global staffing platforms. International Journal of Human Resource Management, 33(6), 1083–1110. https://doi.org/10.1080/09585192.2021.1968304

Marsh, H. W., Morin, A. J. S., Parker, P. D., & Kaur, G. (2014). Exploratory structural equation modeling: An integration of the best features of exploration and confirmatory factor analysis. Annual Review of Clinical Psychology, 10, 85–110. https://doi.org/10.1146/annurev-clinpsy-032813-153700

Mazmanian, M., Orlikowski, W. J., & Yates, J. (2013). The autonomy paradox: The implications of mobile email devices for knowledge professionals. Organization Science, 24(5), 1337–1357. https://doi.org/10.1287/orsc.1120.0806

Meske, C., & Junglas, I. (2020). Investigating the elicitation of employees’ support towards digital workplace transformation. Behaviour & Information Technology, 40(11), 1120–1136. https://doi.org/10.1080/0144929X.2020.1742782

National Institute for Occupational Safety and Health (NIOSH). (2024). NIOSH Worker Well-Being Questionnaire (WellBQ) (DHHS (NIOSH) Publication No. 2021-110, revised 05/2024). Centers for Disease Control and Prevention. https://doi.org/10.26616/NIOSHPUB2021110revised052024

Parent-Lamarche, A., Dextras-Gauthier, J., & Julien, A. (2023). Toward a new model of human resource management practices: Construction and validation of the High Wellbeing and Performance Work System Scale. Frontiers in Psychology, 14, 1151783. https://doi.org/10.3389/fpsyg.2023.1151781

Parker, S. K., & Grote, G. (2022). Automation, algorithms, and beyond: Why work design matters more than ever in a digital world. Applied Psychology, 71(4), 1171–1204. https://doi.org/10.1111/apps.12241

Polit, D. F., & Beck, C. T. (2006). The content validity index: Are you sure you know what's being reported? Critique and recommendations. Research in Nursing & Health, 29(5), 489–497. https://doi.org/10.1002/nur.20147

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

Robertson, I. T., Cooper, C. L., Sarkar, M., & Curran, T. (2023). Resilience training in the workplace: A systematic review of literature. Journal of Occupational and Organizational Psychology, 96(2), 342–366. https://doi.org/10.1111/joop.12425

Sampil, N. S., Daud, A., & Hairon, S. M. (2025). Translation and validation of Malay version of NIOSH worker well-being questionnaire (WellBQ). PLOS ONE, 20(5), e0322451. https://doi.org/10.1371/journal.pone.0322451

Seabrook, K. (2024). PL09 Connecting the dots: The value of people at work and their health, safety and well-being. Occupational Medicine, 74(Supplement_1). https://doi.org/10.1093/occmed/kqae023.0010

Shi, L., Van Veldhoven, M., Kooij, D., Van De Voorde, K., & Karanika-Murray, M. (2024). High-performance work systems and individual performance: A longitudinal study of the differential roles of happiness and health well-being. Frontiers in Psychology, 14, 1261564. https://doi.org/10.3389/fpsyg.2023.1261564

Sidik, I. M., Firmansyah, Y., & Ciptagustia, A. (2024). Implementation of hybrid work system in supporting employees’ work-life balance. Journal of Global Business and Management Review, 6(2), 253–259.

Tarafdar, M., Tu, Q., Ragu-Nathan, B. S., & 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

Wang, B., Liu, Y., & Parker, S. K. (2022). How does the use of information and communication technologies affect individuals? A meta-analysis. Psychological Bulletin, 148(1–2), 1–28. https://doi.org/10.1037/bul0000358

Worthington, R. L., & Whittaker, T. A. (2006). Scale development research: A content analysis and recommendations for best practices. The Counseling Psychologist, 34(6), 806–838. https://doi.org/10.1177/0011000006288127

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Published

30-10-2025

How to Cite

Digital Well-Being Work System Scale Development Using Content Validity and Exploratory Factor Analysis. (2025). Image : Jurnal Riset Manajemen, 13(2), 177-191. https://doi.org/10.17509/image.2025.165