DECENT JOBS AND DIGITAL GOVERNANCE: A HUMAN-CENTERED HRM ECOSYSTEM IN KAZAKHSTAN'S CIVIL SERVICE

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Aliya Dauyeshova
Azamat Zhanseitov
Aigerim Amirova
Saule Iskendirova
Zhansaya Zhunissova

Abstract

Kazakhstan's civil service modernization has placed human-centered governance, digital HRM, and decent jobs at the center of public administration reform. However, empirical evidence on how competencies and workplace resources shape civil servants' satisfaction remains limited in post-Soviet contexts. This study examines whether Human Resource Competency (HRC) and Work Environment Quality (WEQ) affect Civil Servant Satisfaction (CSS) within an ecosystem approach to HRM. The analysis uses anonymous national survey data from 12,562 civil servants in Kazakhstan and applies Partial Least Squares Structural Equation Modeling (PLS-SEM) in SmartPLS 4. Reliability and validity diagnostics confirmed strong measurement quality: average variance extracted ranged from 0.678 to 0.820, composite reliability exceeded 0.80 for all constructs, and HTMT values ranged from 0.659 to 0.876. The structural model explained 51.54% of the variance in CSS. HRC had a strong positive and statistically significant effect on CSS (β = 0.587, t = 28.449, p < 0.001, f² = 0.166), while WEQ also had a positive and significant but practically negligible direct effect (β = 0.146, t = 6.513, p < 0.001, f² = 0.010). Predictive relevance was supported by Q²_predict values of 0.387 for SAT1 and 0.414 for SAT2. The findings indicate that competence development is the dominant determinant of satisfaction, whereas workplace quality functions as a secondary organizational resource. Quantitatively, the study links human-centered HRM with quality jobs, equal opportunities, economic productivity, inclusive growth, and sustainable public-sector governance in Kazakhstan. These results clarify the relative explanatory weight of individual and organizational resources in civil service HRM ecosystems.


JEL Classification Codes: J24, M12, M54, H83, O33.

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Article Details

Section

Research Paper/Theoretical Paper/Review Paper/Short Communication Paper

Author Biographies

Aliya Dauyeshova , Head of the Competence Assessment Sector, Institute of Human Resource Management, Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Republic of Kazakhstan

Aliya Dauyeshova is the Head of the Competence Assessment Sector at the Institute of Human Resource Management, Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Republic of Kazakhstan. She specializes in human resource management, competency assessment, public sector talent development, and civil service capacity building. Her professional work focuses on designing and implementing competency-based assessment systems, leadership evaluation, performance management, and evidence-based human resource practices to enhance the effectiveness of public administration.

Ms. Dauyeshova has extensive experience in developing and evaluating competency frameworks, conducting personnel assessments, and supporting organizational development initiatives within the public sector. Her research interests include human resource management, competency-based management, public administration, organizational behavior, leadership development, employee performance, and digital transformation in human resource management. She has contributed to academic and professional projects aimed at strengthening institutional capacity and promoting innovation in public service management.

Azamat Zhanseitov , Associate Professor, Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Kazakhstan

Azamat Zhanseitov is an Associate Professor at the Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Kazakhstan. His academic and professional expertise encompasses public administration, public policy, governance, strategic management, and organizational development. He is actively engaged in teaching, research, and professional training, contributing to the advancement of public sector management and leadership.

Dr. Zhanseitov's research interests include public administration reform, strategic governance, human resource management, digital transformation in the public sector, leadership development, institutional effectiveness, and sustainable public management. He has participated in academic research, curriculum development, and capacity-building initiatives aimed at strengthening governance and improving public sector performance. Through his scholarly and professional contributions, he continues to support evidence-based policymaking and the modernization of public administration in Kazakhstan.

Aigerim Amirova , Assistant Professor, Astana IT University, Astana, Kazakhstan

Aigerim Amirova is an Assistant Professor at Astana IT University, Astana, Kazakhstan. Her academic expertise lies in information technology, digital transformation, data analytics, and interdisciplinary applications of emerging technologies. She is actively involved in teaching, research, and academic supervision, contributing to the development of innovative educational practices and technology-driven solutions.

Ms. Amirova's research interests include artificial intelligence, digital innovation, information systems, e-governance, business analytics, cybersecurity, and the application of advanced technologies in public administration and organizational management. She has participated in collaborative research projects and academic initiatives focused on leveraging digital technologies to improve organizational performance, support evidence-based decision-making, and foster sustainable digital transformation.

Saule Iskendirova , Associate Professor, Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Kazakhstan

Saule Iskendirova is an Associate Professor at the Academy of Public Administration under the President of the Republic of Kazakhstan, Astana, Kazakhstan. She is engaged in teaching, research, and professional development in the fields of public administration, public policy, governance, and organizational management. Her academic work focuses on strengthening public sector performance through evidence-based management and institutional innovation.

Dr. Iskendirova's research interests include public administration, strategic governance, human resource management, public sector leadership, organizational behavior, public policy analysis, and digital transformation in government. She has contributed to academic research, executive education, and capacity-building initiatives that support effective governance, civil service development, and sustainable public administration reforms in Kazakhstan.

Zhansaya Zhunissova , Lecturer, Karaganda National Research University named after Academician E. A. Buketov, Karaganda, Kazakhstan

Zhansaya Zhunissova is a Lecturer at Karaganda National Research University named after Academician E. A. Buketov, Karaganda, Kazakhstan. She is involved in teaching, academic research, and student mentoring, with a focus on advancing knowledge and fostering innovation in higher education. Her work emphasizes the integration of contemporary research and practical applications into teaching and learning.

Ms. Zhunissova's research interests include public administration, organizational management, human resource management, leadership, digital transformation, and sustainable development. She has participated in academic and interdisciplinary research projects, contributing to studies that promote evidence-based decision-making, institutional effectiveness, and the application of innovative approaches to organizational and public sector development.

How to Cite

Dauyeshova , A. ., Zhanseitov , A., Amirova , A., Iskendirova , S. ., & Zhunissova , Z. . (2026). DECENT JOBS AND DIGITAL GOVERNANCE: A HUMAN-CENTERED HRM ECOSYSTEM IN KAZAKHSTAN’S CIVIL SERVICE. Bangladesh Journal of Multidisciplinary Scientific Research, 11(3), 76-92. https://doi.org/10.46281/bjmsr.v11i3.2901

References

Alabri, A., & Shannaq, B. (2025). Enhancing employability outcomes through AI tools: A SEM-PLS approach with TAM and soft skills mediation. Bangladesh Journal of Multidisciplinary Scientific Research, 10(3), 26–36. https://doi.org/10.46281/bjmsr.v10i3.2422

Appelbaum, E., Bailey, T., Berg, P., & Kalleberg, A. L. (2000). Manufacturing advantage: Why high-performance work systems pay off. ILR Press.

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

Bakker, A. B., Demerouti, E., & Sanz-Vergel, A. (2023). Job demands-resources theory: Ten years later. Annual Review of Organizational Psychology and Organizational Behavior, 10, 25–53. https://doi.org/10.1146/annurev-orgpsych-120920-053933

Bakos, E. (2025). An international framework for human resource management indicators in public administration: Pilot results, methodologies and challenges (OECD Working Papers on Public Governance No. 85). OECD Publishing. https://doi.org/10.1787/03763bab-en

Bandura, A. (1997). Self-efficacy: The exercise of control. W. H. Freeman.

Bokayev, B., Amirova, A., & Torebekova, Z. (2024). Examining monetary and non-monetary incentives for public servants in Kazakhstan: Empirical evidence. Eurasian Journal of Economic and Business Studies, 68(2), 106–117. https://doi.org/10.47703/ejebs.v68i2.386

Borst, R. T., Kruyen, P. M., & Lako, C. J. (2019). Exploring the job demands-resources model of work engagement in government: Bringing in a psychological perspective. Review of Public Personnel Administration, 39(3), 372–397. https://doi.org/10.1177/0734371X17729870

Borst, R. T., Kruyen, P. M., Lako, C. J., & de Vries, M. S. (2020). The attitudinal, behavioral, and performance outcomes of work engagement: A comparative meta-analysis across the public, semipublic, and private sector. Review of Public Personnel Administration, 40(4), 613–640. https://doi.org/10.1177/0734371X19840399

Boselie, P., Dietz, G., & Boon, C. (2005). Commonalities and contradictions in HRM and performance research. Human Resource Management Journal, 15(3), 67–94. https://doi.org/10.1111/j.1748-8583.2005.tb00154.x

Bos-Nehles, A., Townsend, K., Cafferkey, K., & Trullen, J. (2023). Examining the ability, motivation and opportunity (AMO) framework in HRM research: Conceptualization, measurement and interactions. International Journal of Management Reviews, 25(4), 725–739. https://doi.org/10.1111/ijmr.12332

Bright, L. (2008). Does public service motivation really make a difference on the job satisfaction and turnover intentions of public employees? The American Review of Public Administration, 38(2), 149–166. https://doi.org/10.1177/0275074007311069

Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides (Ed.), Modern methods for business research (pp. 295–336). Lawrence Erlbaum Associates.

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Lawrence Erlbaum Associates.

Demo, G., Costa, A. C. R., & Coura, K. V. (2024). HRM practices in the public service: A measurement model. RAUSP Management Journal, 59(1), 50–66. https://doi.org/10.1108/RAUSP-01-2023-0005

Demerouti, E., Bakker, A. B., Nachreiner, F., & Schaufeli, W. B. (2001). The job demands-resources model of burnout. Journal of Applied Psychology, 86(3), 499–512. https://doi.org/10.1037/0021-9010.86.3.499

Díaz-Fúnez, P. A., Cardella, G. M., Hernández-Sánchez, B. R., Sánchez-García, J. C., & Mañas-Rodríguez, M. Á. (2024). Is adding resources always beneficial? Multiplicative impact of psychological capital and goal-oriented climate on Spanish public worker satisfaction and engagement. Frontiers in Psychology, 15, Article 1418409. https://doi.org/10.3389/fpsyg.2024.1418409

Dijkstra, T. K., & Henseler, J. (2015). Consistent partial least squares path modeling. MIS Quarterly, 39(2), 297–316. https://doi.org/10.25300/MISQ/2015/39.2.02

Ding, M., & Wang, C. (2023). Can public service motivation increase work engagement? A meta-analysis across cultures. Frontiers in Psychology, 13, Article 1060941. https://doi.org/10.3389/fpsyg.2022.1060941

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39–50. https://doi.org/10.1177/002224378101800104

Guest, D. E. (2017). Human resource management and employee well-being: Towards a new analytic framework. Human Resource Management Journal, 27(1), 22–38. https://doi.org/10.1111/1748-8583.12139

Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2–24. https://doi.org/10.1108/EBR-11-2018-0203

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

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

Knies, E., Boselie, P., Gould-Williams, J., & Vandenabeele, W. (2018). Strategic human resource management and public sector performance: Context matters. The International Journal of Human Resource Management, 29(1), 1–8. https://doi.org/10.1080/09585192.2017.1407088

Kramar, R. (2014). Beyond strategic human resource management: Is sustainable human resource management the next approach? The International Journal of Human Resource Management, 25(8), 1069–1089. https://doi.org/10.1080/09585192.2013.816863

Kruyen, P. M., & Van Genugten, M. (2020). Opening up the black box of civil servants' competencies. Public Management Review, 22(1), 118–140. https://doi.org/10.1080/14719037.2019.1638442

Locke, E. A. (1976). The nature and causes of job satisfaction. In M. D. Dunnette (Ed.), Handbook of industrial and organizational psychology (pp. 1297–1343). Rand McNally.

Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory (3rd ed.). McGraw-Hill.

OECD. (2025a). Government at a glance 2025. OECD Publishing. https://doi.org/10.1787/0efd0bcd-en

OECD. (2025b). OECD public governance scan of Kazakhstan. OECD Publishing. https://doi.org/10.1787/f8298798-en

Paauwe, J. (2009). HRM and performance: Achievements, methodological issues and prospects. Journal of Management Studies, 46(1), 129–142. https://doi.org/10.1111/j.1467-6486.2008.00809.x

Perry, J. L., & Wise, L. R. (1990). The motivational bases of public service. Public Administration Review, 50(3), 367–373.

Ringle, C. M., Wende, S., & Becker, J.-M. (2024). SmartPLS 4. SmartPLS. https://www.smartpls.com

Sarstedt, M., Ringle, C. M., & Hair, J. F. (2022). Partial least squares structural equation modeling. In C. Homburg, M. Klarmann, & A. Vomberg (Eds.), Handbook of market research. Springer. https://doi.org/10.1007/978-3-319-57413-4_15-1

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. https://doi.org/10.1002/job.248

Shmueli, G., Sarstedt, M., Hair, J. F., Cheah, J.-H., Ting, H., Vaithilingam, S., & Ringle, C. M. (2019). Predictive model assessment in PLS-SEM: Guidelines for using PLSpredict. European Journal of Marketing, 53(11), 2322–2347. https://doi.org/10.1108/EJM-02-2019-0189

Strohmeier, S. (2020). Digital human resource management: A conceptual clarification. German Journal of Human Resource Management, 34(3), 345–365. https://doi.org/10.1177/2397002220921131

Wright, P. M., & McMahan, G. C. (1992). Theoretical perspectives for strategic human resource management. Journal of Management, 18(2), 295–320. https://doi.org/10.1177/014920639201800205

Zhang, Y. (2023). Disclosing the relationship between public service motivation and job satisfaction in the Chinese public sector: A moderated mediation model. Frontiers in Psychology, 14, Article 1073370. https://doi.org/10.3389/fpsyg.2023.1073370

Zhenjing, G., Chupradit, S., Ku, K. Y., Nassani, A. A., & Haffar, M. (2022). Impact of employees' workplace environment on employees' performance: A multi-mediation model. Frontiers in Public Health, 10, Article 890400. https://doi.org/10.3389/fpubh.2022.890400

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