Digital Transformation of Strategic Human Resource Management in Kosovo Small and Medium Enterprises

Blerim Dragusha; Saso Josimovski

doi:10.15408/etk.v25i2.46997

Authors

Blerim Dragusha Faculty of Economy, University of Prishtina
Saso Josimovski Ss. Cyril and Methodius University in Skopje

DOI:

https://doi.org/10.15408/etk.v25i2.46997

Keywords:

human capital management, remote work, employee retention, crisis management, technology acceptance, organizational agility

Abstract

Research Originality: This study provides the first two-wave longitudinal panel evidence on cognition-based digital human resource adoption in Kosovo’s small and medium enterprises, revealing the temporal and regional boundary conditions that cross-sectional national studies fail to detect.

Research Objectives: The research analyzes how managers’ perceptions of digital tools drive actual technology use in small and medium enterprises and, through it, employee productivity, retention, recruitment quality, and organizational performance across two pandemic phases.

Research Method: A matched panel of 248 human resource managers was surveyed at the onset of the pandemic (2020) and during the stabilization phase (2021); the data were analyzed using multi-group structural equation modeling.

Empirical Results: Perceived usefulness and ease of use drive adoption at both waves; adoption improves all strategic outcomes, although retention benefits emerge only over time and the ease-of-use mechanism weakens in peripheral regions.

Implications: Returns on digital investment compound over time; policy should combine infrastructure investment with usability-oriented training in lagging regions.

JEL Classification: M15, O33, J24

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References

Al-Alawi, A. I., Messaadia, M., Mehrotra, A., Sanosi, S. K., Elias, H., & Althawadi, A. H. (2023). Digital Transformation Adoption in Human Resources Management during COVID-19. Arab Gulf Journal of Scientific Research, 41(4), 446–461. https://doi.org/10.1108/AGJSR-05-2022-0069.

Alomari, A. M. (2023). Exploring the Impact of e-HRM on Organizational Performance: A Mediated Model. International Journal of Data and Network Science, 7(4), 1913–1920. https://doi.org/10.5267/j.ijdns.2023.7.002.

Amoako, R., Jiang, Y., Adu-Yeboah, S. S., Frempong, M. F., & Tetteh, S. (2023). Factors Influencing Electronic Human Resource Management Implementation in Public Organisations in an Emerging Economy: An Empirical Study. South African Journal of Business Management, 54(1), a2937. https://doi.org/10.4102/sajbm.v54i1.2937.

Barney, J. B., & Mackey, A. (2016). Text and Metatext in the Resource-Based View. Human Resource Management Journal, 26(4), 369–378. https://doi.org/10.1111/1748-8583.12123.

Bondarouk, T., Harms, R., & Lepak, D. (2017). Does E-HRM Lead to Better HRM Service? The International Journal of Human Resource Management, 28(9), 1332–1362. https://doi.org/10.1080/09585192.2015.1118139.

Carnevale, J. B., & Hatak, I. (2020). Employee Adjustment and Well-Being in the Era of COVID-19: Implications for Human Resource Management. Journal of Business Research, 116, 183–187. https://doi.org/10.1016/j.jbusres.2020.05.037.

Collings, D. G., Nyberg, A. J., Wright, P. M., & McMackin, J. (2021). Leading through Paradox in a COVID-19 World: Human Resources Comes of Age. Human Resource Management Journal, 31(4), 819–833. https://doi.org/10.1111/1748-8583.12343.

Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–340. https://doi.org/10.2307/249008.

Dragusha, B., Josimovski, S., & Jovevski, D. (2019). Impact of E-Recruitment Strategies in Enterprises of the Republic of Kosovo. Iliria International Review, 9(2), 193–206.

Dragusha, B., & Prenaj, V. (2021). The Role of Social Networks As a Tool For an Effective Recruitment Process in Enterprises in Kosovo. Journal of Eastern European and Central Asian Research, 8(3), 425–437. https://doi.org/10.15549/jeecar.v8i3.696.

Groysberg, B., Lee, J., Price, J., & Cheng, J. Y. (2018). The Leader’s Guide to Corporate Culture. Harvard Business Review, 96(1), 44–52.

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.

Hu, D., & Lan, Y. (2024). The Dual Path Effect Mechanism Study of Digital-HRM on Employee Innovative Performance and Cyberloafing. PLOS ONE, 19(8), e0307195. https://doi.org/10.1371/journal.pone.0307195.

Johnson, R. D., Lukaszewski, K. M., & Stone, D. L. (2016). The Evolution of the Field of Human Resource Information Systems: Co-Evolution of Technology and HR Processes. Communications of the Association for Information Systems, 38(1), Article 28. https://doi.org/10.17705/1CAIS.03828.

Khalaif, K. N., Abdulhafedh, A. H., Khalaf, H. Q., & Jameel, S. M. (2026). The Role of Organizational Culture in Crisis Management. In Hameed, A. A., & Jamil, A. (Eds.). Digital Transformation in Achieving Sustainable Development of Management, Economic, And Applied Sciences. Berlin: Springer.

Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling (4th ed.). New York: Guilford Press.

Kosovo Agency of Statistics. (2021). Information and Communication Technology Survey 2021. Kosovo: KAS Publications.

Marler, J. H., & Parry, E. (2016). Human Resource Management, Strategic Involvement and E-HRM Technology. The International Journal of Human Resource Management, 27(19), 2233–2253. https://doi.org/10.1080/09585192.2015.1091980.

Millar, C. C. J. M., Chen, S., & Waller, L. (2017). Leadership, Knowledge and People in Knowledge-Intensive Organizations: Implications for HRM Theory and Practice. The International Journal of Human Resource Management, 28(2), 261–275. https://doi.org/10.1080/09585192.2016.1244919.

Okatta, C., Ajayi, F., & Olawale, O. (2024). Leveraging HR Analytics for Strategic Decision Making: Opportunities and Challenges. International Journal of Management & Entrepreneurship Research, 6(4), 1304–1325. https://doi.org/10.51594/ijmer.v6i4.1060.

Oles, T. (2024). Superstar Firms and Labor Share Decline: The Role of Digitalization in France, Germany, Italy, and Spain. Ekonomický Časopis/Journal of Economics, 72(9–10), 419–439. https://doi.org/10.31577/ekoncas.2024.09-10.01.

Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88(5), 879–903. https://doi.org/10.1037/0021-9010.88.5.879.

Priyashantha, K. G., & Chandradasa, A. H. I. (2023). Electronic Human Resource Management (E-HRM) Adoption: A Systematic Literature Review. Sri Lanka Journal of Social Sciences, 46(1), 19–37. https://doi.org/10.4038/sljss.v46i1.8573.

Rogers, D. L. (2016). The Digital Transformation Playbook: Rethink Your Business for The Digital Age. New York: Columbia University Press.

Rosseel, Y. (2012). lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48(2), 1–36. https://doi.org/10.18637/jss.v048.i02.

Ruiz, L., Benítez, J., Castillo, A., & Braojos, J. (2024). Digital Human Resource Strategy: Conceptualization, Theoretical Development, and an Empirical Examination of its Impact on Firm Performance. Information & Management, 61(4), 103966. https://doi.org/10.1016/j.im.2024.103966.

Shet, S. V., Patil, S. V., & Chandawarkar, M. R. (2019). Competency-based Superior Performance and Organizational Effectiveness. International Journal of Productivity and Performance Management, 68(4), 753–773. https://doi.org/10.1108/IJPPM-03-2018-0128.

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.

Tambe, P., Cappelli, P., & Yakubovich, V. (2019). Artificial Intelligence in Human Resources Management: Challenges and a Path Forward. California Management Review, 61(4), 15–42. https://doi.org/10.1177/0008125619867910.

Teece, D. J. (2018). Business Models and Dynamic Capabilities. Long Range Planning, 51(1), 40–49. https://doi.org/10.1016/j.lrp.2017.06.007.

Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3), 425–478. https://doi.org/10.2307/30036540.

Venkatesh, V., Thong, J. Y. L., & Xu, X. (2016). Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead. Journal of the Association for Information Systems, 17(5), 328–376. https://doi.org/10.17705/1jais.00428.

Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022). Artificial Intelligence, Robotics, Advanced Technologies and Human Resource Management: A Systematic Review. The International Journal of Human Resource Management, 33(6), 1237–1266. https://doi.org/10.1080/09585192.2020.1871398.