Designing an Adoption Model for Electronic Human Resource Management in Service-Oriented Organizations: A Case Study of Tehran Municipality

Document Type : Research Paper

Authors

Associate Prof., Department of Leadership and human capital, Faculty of Public Administration and Organizational Sciences, College of Management, University of Tehran, Tehran, Iran.

10.22059/jitm.2024.353944.3250

Abstract

This study aims to develop an adoption model tailored for service-oriented organizations and then evaluate its effectiveness within the specific context of Tehran Municipality, Iran's foremost service-oriented institution. Utilizing a mixed-method research approach integrating qualitative and quantitative methodologies, this study delineated the dimensions, categories, and indicators pertinent to the adoption of Electronic Human Resource Management (EHRM) systems in service-oriented organizations. Qualitative methodologies were employed to identify and develop the adoption model, which was subsequently evaluated within Tehran Municipality using a quantitative approach. In the qualitative segment of this study, in-depth interviews were conducted using a snowball sampling technique until theoretical saturation was achieved. For the quantitative phase, a sample of 310 experts affiliated with Tehran Municipality's EHRM system was surveyed. Structural equation modeling and Smart PLS 4.0 software were employed for data analysis. Ultimately, this research extracted five dimensions, 14 categories, and 94 indicators for the proposed adoption model. Notably, experts accorded the highest priority to the technological dimension in the adoption model, with specific emphasis on “adaptive architecture, security and privacy of employees, trialability and reliability, organizational citizenship behavior, organizational dynamic capabilities, digital Leadership Policy and Actions, cloud computing, etc…”, as pivotal factors in EHRM adoption. The organizational dimension assumed the second-highest priority, while the individual dimension was assigned a third-place ranking. Micro and macro-environmental factors followed in subsequent priority order.

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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.
AL Musadieq, M. O. C. H. A. M. M. A. D., Riza, M. F., & Albab, U. (2023). Exploration OF Successful Adoption OF E-HRM Systems. Journal of Jilin University (Engineering and Technology Edition), ISSN: 1671-5497, Vol: 42 Issue: 02-2023, DOI 10.17605/OSF.IO/ZBP43
Alam, S. S., & Islam, K. Z. (2021). Examining Adoption of Electronic Human Resource Management from the Perspective of Technology Organization Environment Framework. IEEE Engineering Management Review, 49, 59-75.
Amiri, G., & Nasir Zenozi, A. (2016). Review of individual and organizational models of information technology adoption. 4th Conference on Modern Researches in Management, Economics and Accounting, July 2016, Berlin, 13(8), 25-36. (In Persian)
Azar, A., Gholamzadeh, R., & Ghanavati, M. (2012). Path-structural modeling in management: Smart PLS Application. Tehran, Publishing Knowledge Look.
Bondarouk, T., Parry, E., & Furtmueller, E. (2017). Electronic HRM: Four decades of research on adoption and consequences. The International Journal of Human Resource Management, 2(1), 98-121.
Bondarouk, T., & Furtmueller, E. (2012). EHRM promises and empirical findings: Four decades of research. Best paper proceedings of the Academy of Management Annual Meeting, August 3–7, Boston (MA, USA), 180-201.
Burbach, R., & Royle, T. (2014). Institutional determinants of EHRM diffusion success. Employee Relations, 36(4), 89-101.
Cronin, B., Morath, R., Curtin, P., & Heil, M. (2006). Public sector use of technology in managing human resources. Human Resource Management Review, 16, 416–430.
De Alwis, C., Andrlic, B., & Sostar, M. (2019). International Environmental Factors and the Level of Adoption of HRIS. 30th DAM International Symposium on Intelligent Manufacturing and Automation, 8(7), 280-295.
Hu, S. (2024). Design of a SWOT Analysis Model and Suggestions for E-HRM Adoption. In Encyclopedia of Information Science and Technology, Sixth Edition (pp. 1-14). IGI Global.
Iliyas, M. (2019). A Study on EHRM on Role of Human Resource Managers. International Journal of Research and Analytical Reviews (IJRAR), 6(1), 2349-2358.
Kossek, E. E., Young, W., Gash, D. C., & Nichol, V. (1994). Waiting for innovation in the human resources department: Godot implements a human resource information system. Human Resource Management, 33,135–159.
Klein, M. (2020). Leadership Characteristics in the Era of Digital Transformation. Business & Management Studies: An International Journal, 4(7), 768-780.
Lather, S., & Kaur, S. (2019). Modeling the Effective EHRM Enablers using ISM and MICMAC approach. Delhi Business Reviews, Vol. 20, No. 1, 79-81.
Magaro, M., & Phahlane, M. (2019). EHRM: A Proposed Theory Based on the Social Cognitive Theory (SCT). Kalpa Publications in Computing, Volume 12, pages 132-142.
Mansour, A., Al-Qudah, S., Siam, Y., Hammouri, Q., & Hijazin, A. (2024). Employing E-HRM to attain contemporary organizational excellence at the Jordan Social Security Corporation. International Journal of Data and Network Science, 8(1), 549-556.
Peay, L. (2011). Innovation & The service Oriented Organization, the Workable, Practical Guide to Do Yourself, Vol 7.5, 2011.
Priyashantha, K. G., & Chandradasa, A. I. (2023). Electronic human resource management (e-HRM) adoption; a systematic literature review. Sri Lanka Journal of Social Sciences, 46(1), 19-37.
Ruel, H., & Bondarouk, T. (2014). E-HRM research and practice: facing the challenges ahead. In Handbook of Strategic e-Business Management (pp. 633-653). Springer، Berlin، Heidelberg.
 
Seyed Naqvi, M. A., Ghorbanzadeh, V. A., Hosseinpour, D., & Nadayi, A. (2021). Development of the conceptual framework of organizational dynamic capabilities using the hybrid approach; Iran Scientific and Industrial Research Organization in cooperation with Iran Technology Management Association; 4–8. (In Persian)
Shahreki, J., Jamaluddin, H., Lim Li Chin, A., Hashemi, S., & Nakanishi, H. (2020). An Examination on the Effects of Technology Acceptance Model in Electronic Human Resource Management. Journal of Soft Computing and Decision Support Systems, 7(3), 224-236.
Sharma, E., & Ahmad, J. (2022). Technology adoption model for HRM practices. International Journal of Technology Enhanced Learning, 14(1), 101-124.
Subhashree, V., & Vasantha (2020). Influence of IT Infrastructure And IT Expertise On EHRM Adoption. International Journal Of Scientific & Technology Research Volume 9, Issue 01, 2-13.
Taherdoost, H. (2017). A Review of Technology Acceptance and Adoption Models and Theories. 11th International Conference Interdisciplinary in Engineering, Tirgu- Mures, Romania, 15(7), 56-59.
Tanwar, Anjum (2017). Human Resource Management in Digital Age. International Journal of Research, ISSN (p): 2348–6848, Volume 04, Issue 07, 5-7.
Tricahyono, D., Permatasari, Y., & Indiyati, D. (2022). EHRM Adoption with Job Tenure, Gender, and Corona Fear as Moderating Variables Using UTAUT. Conference on Industrial Engineering and Operations Management.
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly: Management Information Systems, 27(3), 455-478.
Voermans, M., & van Veldhoven, M. (2007). Attitude towards E‐HRM: an empirical study at Philips. Personnel Review, Vol. 36 No. 6, pp. 887-902.
Vui, C. N., Keong, L. M., Biju, S., Shazana, N., Rani, A., & Masrie, R. (2022). Examining The Determinants of Employee Adoption and Intention to Use E-HRM: A Framework Based On the Technology Acceptance Model (TAM). International Journal of Early Childhood, 14(03), 1-2.
Yusliza Mohd, Y., Ramayah, T., & Haslindar, I. (2010). EHRM: A proposed model based on the technology acceptance model, School of Management, University Sains Malaysia, Penang, Malaysia, 2(1), 10–18.
Journal of Information Technology Management
Volume 16, Issue 2
2024
Pages 91-111

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