Developing a Human Resource Empowerment Policy Model for Government Agencies in the Digital Age: A Strauss-Corbin-Informed Grounded Theory Study
Keywords:
digital transformation; government agencies; grounded theory; human resource empowerment; policy-making; public sectorAbstract
Background: Digital transformation is changing public-sector work, service delivery, organizational routines, and the competencies required of civil servants. Human-resource empowerment therefore constitutes a coordinated policy problem rather than a set of isolated training activities. This study developed a context-sensitive policy model for human-resource empowerment in government agencies in the digital age. Methods: An applied qualitative study was conducted using a Strauss-Corbin-informed grounded-theory approach. The final sample comprised 15 experts, senior managers, and heads of government agencies in Golestan Province, Iran. Initial recruitment was purposive, and sampling and analysis proceeded iteratively. The research team judged category saturation to have been reached at interview 12; three additional interviews were completed to examine the stability of the emerging category structure. Semi-structured interviews lasted approximately 30–45 minutes, were audio-recorded with informed consent, transcribed, and analyzed in MAXQDA through open, axial, and selective coding. The Strauss-Corbin paradigm functioned as a sensitizing analytic framework, while the specific codes and categories were developed from the interview material. Results: The analysis identified 63 open codes for causal conditions, 41 for contextual conditions, 63 for intervening conditions, 40 for implementation strategies, and 58 for consequences. These codes were organized into seven causal categories, seven contextual categories, 12 intervening categories, seven strategy categories, and 12 consequence categories. The model links workforce skills, organizational culture, leadership, policy frameworks, resources, infrastructure, innovation, and organizational structure with contextual and intervening conditions that shape the feasibility of implementation. The strategy layer includes digital-skills development, an innovation-oriented culture, digital performance evaluation, flexible implementation, technological HR infrastructure, policy governance and transparency, and organizational participation. Conclusion: Digital-era human-resource empowerment in government is conceptualized as an integrated policy architecture connecting people, culture, leadership, technology, incentives, governance, and implementation flexibility. The model links implementation strategies with individual, organizational, and societal consequences identified across the interviews.
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References
Ahn, M. J., & Chen, Y.-C. (2022). Digital transformation toward AI-augmented public administration: The perception of government employees and the willingness to use AI in government. Government Information Quarterly, 39(2), 101664. https://doi.org/10.1016/j.giq.2021.101664
Aluko, K., Ayentimi, D. T., Moloney, B., & Burgess, J. (2026). Contextualising HRM in the digital age: Local government responses to technological change in Australia. Asia Pacific Journal of Human Resources, 64(1), e70049. https://doi.org/10.1111/1744-7941.70049
Bian, X., Panyagometh, A., Wang, B., & Szabó, R. Z. (2025). AI-powered digital transformation of government human resource management: A bibliometric and systematic literature review. Journal of Innovation Management, 13(3), 66–95. https://doi.org/10.24840/2183-0606_013.003_0003
Bondarouk, T., & Brewster, C. (2016). Conceptualising the future of HRM and technology research. The International Journal of Human Resource Management, 27(21), 2652–2671. https://doi.org/10.1080/09585192.2016.1232296
Eom, S.-J., & Lee, J. (2022). Digital government transformation in turbulent times: Responses, challenges, and future direction. Government Information Quarterly, 39(2), 101690. https://doi.org/10.1016/j.giq.2022.101690
Escobar, F., Almeida, W. H. C., & Varajão, J. (2023). Digital transformation success in the public sector: A systematic literature review of cases, processes, and success factors. Information Polity, 28(1), 61–81. https://doi.org/10.3233/IP-211518
Haug, N., Dan, S., & Mergel, I. (2024). Digitally-induced change in the public sector: A systematic review and research agenda. Public Management Review, 26(7), 1963–1987. https://doi.org/10.1080/14719037.2023.2234917
Jo, H. (2025). Interplay among collaborative culture, empowerment leadership, and IT work environment in the public sector: A mixed methods study. International Journal of Information Management, 82, 102883. https://doi.org/10.1016/j.ijinfomgt.2025.102883
Lhakard, P. (2024). Digital human resource professionals: Empowering talent in the tech era. Human Behavior, Development and Society, 25(1), 104–115. https://doi.org/10.62370/hbds.v25i1.268455
Lincoln, Y. S., & Guba, E. G. (1985). Naturalistic inquiry. Sage.
Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation: Results from expert interviews. Government Information Quarterly, 36(4), 101385. https://doi.org/10.1016/j.giq.2019.06.002
OECD. (2017). Skills for a high performing civil service. OECD Public Governance Reviews. OECD Publishing. https://doi.org/10.1787/9789264280724-en
OECD. (2021). The OECD framework for digital talent and skills in the public sector (OECD Working Papers on Public Governance No. 45). OECD Publishing. https://doi.org/10.1787/4e7c3f58-en
Pittaway, J. J., & Montazemi, A. R. (2020). Know-how to lead digital transformation: The case of local governments. Government Information Quarterly, 37(4), 101474. https://doi.org/10.1016/j.giq.2020.101474
Strauss, A., & Corbin, J. (1998). Basics of qualitative research: Techniques and procedures for developing grounded theory (2nd ed.). Sage.
Tangi, L., Janssen, M., Benedetti, M., & Noci, G. (2021). Digital government transformation: A structural equation modelling analysis of driving and impeding factors. International Journal of Information Management, 60, 102356. https://doi.org/10.1016/j.ijinfomgt.2021.102356
Tong, A., Sainsbury, P., & Craig, J. (2007). Consolidated criteria for reporting qualitative research (COREQ): A 32-item checklist for interviews and focus groups. International Journal for Quality in Health Care, 19(6), 349–357. https://doi.org/10.1093/intqhc/mzm042
Toze, S., Roy, J., Sharaput, M., & Wilson, L. (2021). Smart technologies, digital competencies, and workforce development: An examination of the Government of Canada’s current and future capacities. International Journal of Public Administration in the Digital Age, 8(1), 1–19. https://doi.org/10.4018/IJPADA.294121
Vial, G. (2019). Understanding digital transformation: A review and a research agenda. The Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003
Wilson, C., & Mergel, I. (2022). Overcoming barriers to digital government: Mapping the strategies of digital champions. Government Information Quarterly, 39(2), 101681. https://doi.org/10.1016/j.giq.2022.101681
Wirtz, B. W., Weyerer, J. C., & Geyer, C. (2019). Artificial intelligence and the public sector—Applications and challenges. International Journal of Public Administration, 42(7), 596–615. https://doi.org/10.1080/01900692.2018.1498103