Staying Despite Strain: A Systematic Grounded Theory Study of Human-Centered HRM and Healthcare Worker Retention
Abstract
Healthcare organizations face a retention problem that conventional turnover metrics cannot fully diagnose. Workers may stay because they remain committed, because they need income or career credentials, or because secure employment traps them in defensive compliance. This study develops a grounded theory of how healthcare workers construct decisions to stay amid clinical, emotional, administrative, digital, and employment-status pressures. The study applies systematic grounded theory in the Strauss and Corbin tradition. Data were collected through three iterative rounds of semi-structured interviews with clinical workers, support personnel, unit managers, and HR-level informants. Round 1 opened the category, round 2 deepened it through theoretical sampling, and Round 3 tested the emerging model. The analysis used open, axial, and selective coding; constant comparison across professions, employment statuses, units, and two interviewer datasets; memo writing; negative-case attention; and audit-trail procedures. The core category is Conditional Staying. Healthcare workers stay not because strain disappears, but because they reinterpret layered strain through professional calling, employment security, peer solidarity, economic necessity, career aspirations, and perceived organizational care. The resulting typology distinguishes Committed Staying, Pragmatic Staying, and Defensive Staying. The model shows how Layered Strain activates a Perceived Organizational Care Gap, which triggers Retention Reframing and produces qualitatively different forms of staying. The study shifts healthcare retention theory from a binary stay-or-leave logic toward the quality of staying. It demarcates the perceived organizational care gap from perceived organizational support, psychological contract breach, and perceived organizational obstruction. It also reframes technostrain as a strategic HRM issue rather than a merely technical information-systems problem.
References
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
Bakker, A. B., & Demerouti, E. (2017). Job demands-resources theory: Taking stock and looking forward. Journal of Occupational Health Psychology, 22(3), 273-285. https://doi.org/10.1037/ocp0000056
Blau, P. M. (1964). Exchange and power in social life. Wiley.
Colquitt, J. A. (2001). On the dimensionality of organizational justice: A construct validation of a measure. Journal of Applied Psychology, 86(3), 386-400. https://doi.org/10.1037/0021-9010.86.3.386
Corbin, J., & Strauss, A. (2015). Basics of qualitative research: Techniques and procedures for developing grounded theory (4th ed.). SAGE.
de Vries, N., Boone, A., Godderis, L., Bouman, J., Szemik, S., Matranga, D., & de Winter, P. (2023). The race to retain healthcare workers: A systematic review on factors that impact retention of nurses and physicians in hospitals. Inquiry, 60, 1-21. https://doi.org/10.1177/00469580231159318
Eisenberger, R., Huntington, R., Hutchison, S., & Sowa, D. (1986). Perceived organizational support. Journal of Applied Psychology, 71(3), 500-507. https://doi.org/10.1037/0021-9010.71.3.500
Galanis, P., Vraka, I., Fragkou, D., Bilali, A., & Kaitelidou, D. (2021). Nurses' burnout and associated risk factors during the COVID-19 pandemic: A systematic review and meta-analysis. Journal of Advanced Nursing, 77(8), 3286-3302. https://doi.org/10.1111/jan.14839
Gibney, R., Zagenczyk, T. J., Fuller, J. B., Hester, K., & Caner, T. (2011). Exploring organizational obstruction and the expanded model of organizational identification. Journal of Applied Social Psychology, 41(5), 1083-1109. https://doi.org/10.1111/j.1559-1816.2011.00748.x
Mackey, J. D., McAllister, C. P., Brees, J. R., Huang, L., & Carson, J. E. (2018). Perceived organizational obstruction: A mediator that addresses source-target misalignment between abusive supervision and OCBs. Journal of Organizational Behavior, 39(10), 1283-1295. https://doi.org/10.1002/job.2293
Muhamad, R., et al. (2025). Technostress, burnout and fatigue among healthcare workers: Evidence from digital health work. PLOS ONE, 20(2), e0319506. https://doi.org/10.1371/journal.pone.0319506
Murad, M. H., Vaa Stelling, B. E., West, C. P., Hasan, B., Simha, S., Saadi, S., Firwana, M., Viola, K. E., Prokop, L. J., Nayfeh, T., & Wang, Z. (2024). Measuring documentation burden in healthcare. Journal of General Internal Medicine, 39(14), 2837-2848. https://doi.org/10.1007/s11606-024-08956-8
Pressley, C., & Garside, J. (2023). Safeguarding the retention of nurses: A systematic review on determinants of nurse's intentions to stay. Nursing Open, 10(2), 284-303. https://doi.org/10.1002/nop2.1361
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
Rhoades, L., & Eisenberger, R. (2002). Perceived organizational support: A review of the literature. Journal of Applied Psychology, 87(4), 698-714. https://doi.org/10.1037/0021-9010.87.4.698
Rousseau, D. M. (1989). Psychological and implied contracts in organizations. Employee Responsibilities and Rights Journal, 2(2), 121-139. https://doi.org/10.1007/BF01384942
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). SAGE.
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
Woo, T., Ho, R., Tang, A., & Tam, W. (2020). Global prevalence of burnout symptoms among nurses: A systematic review and meta-analysis. Journal of Psychiatric Research, 123, 9-20. https://doi.org/10.1016/j.jpsychires.2019.12.015
World Health Organization. (2024). Health workforce. https://www.who.int/health-topics/health-workforce
Wu, Y., Wu, M., Wang, C., Lin, J., Liu, J., & Liu, S. (2024). Evaluating the prevalence of burnout among health care professionals related to electronic health record use: Systematic review and meta-analysis. JMIR Medical Informatics, 12, e54811. https://doi.org/10.2196/54811





.png)















Contact Person +6282139474255
Email : ijebir@citakonsultindo.or.id / editor.ijebir@gmail.com