Effects of different electronic HRM configurations on organizational consequences: An intra-country analysis
Abstract
Purpose: This study focuses on the effects of electronic-Human Resource Management (e-HRM) on organizational consequences. In this analysis, the effects of different configurations are assessed within the same socio-economic context. Design/Methodology: This study adopts a cross-sectional survey of e-HRM actors, such as human resource managers, IT professionals, and line managers. The data analysis was conducted using linear regression. A sample of 300 respondents was selected based on Gill et al.’s framework for obtaining a representative sample. Findings: ‘Integrated e-HRM configurations’ employed in multinational corporations (MNCs) generate positive and improved operational, relational, and transformational consequences or outcomes. In small-to-medium-sized organizations, the operational-user configuration exhibits positive but lower operational, relational, and transformational consequences. However, the socio-economic variables used to categorize e-HRM configurations do not apply in a developing economy context. Practical implications: The application of information technology in HRM is not the sole predictor of organizational consequences. The sophistication of the adopted e-HRM system deserves some consideration too. When managers adopt sophisticated e-HRM systems, they are likely to achieve positive and improved outcomes. More predictor variables need to be uncovered for an elaborate categorization of effective e-HRM configurations. Originality/value: The contextual factors that define effective e-HRM configurations are not consistent across different socio-economic contexts. Company-based categorization of effective configurations is advisable. This study establishes the limitations of current categorization variables in explaining effective e-HRM systems.
References
Bondarouk, T., & Ruël, H. (2013). The strategic value of e-HRM: results from an exploratory study in a governmental organization. The International Journal of Human Resource Management, 24(2), 391–414. https://doi.org/10.1080/09585192.2012.675142
Bondarouk, T., Parry, E., & Furtmueller, E. (2016). Electronic HRM: four decades of research on adoption and consequences. The International Journal of Human Resource Management, 28(1), 98–131. https://doi.org/10.1080/09585192.2016.1245672
Galanaki, E., Lazazzara, A., & Parry, E. (2019). A Cross-National Analysis of E-HRM Configurations: Integrating the Information Technology and HRM Perspectives. In: Lazazzara, A., Nacamulli, R., Rossignoli, C., Za, S. (editors). Organizing for Digital Innovation. Lecture Notes in Information Systems and Organisation, 27. Springer, Cham. https://doi.org/10.1007/978-3-319-90500-6_20
Hooi, L. W. (2006). Implementing e-HRM: The Readiness of Small and Medium Sized Manufacturing Companies in Malaysia. Asia Pacific Business Review, 12(4), 465–485. https://doi.org/10.1080/13602380600570874
Kline, R. B. (2016). Principles and Practice of Structural Equation Modeling, 4th ed. New York: Guilford.
L’Écuyer, F., & Raymond, L. (2020). Enabling the HR function of industrial SMEs through the strategic alignment of e-HRM: a configurational analysis. Journal of Small Business & Entrepreneurship, 35(3), 450–482. https://doi.org/10.1080/08276331.2020.1802095
Lepak, D. P., & Snell, S. A. (1998). Virtual HR: strategic human resource management in the 21st century. Human Resource Management Review, 8(3), 215-234. https://doi.org/10.1016/S1053-4822(98)90003-1
Marler, J. H. (2009). Making human resources strategic by going to the Net: reality or myth? The International Journal of Human Resource Management, 20(3), 515–527. https://doi.org/10.1080/09585190802707276
Marler, J. H., & Fisher, S. L. (2013). An evidence-based review of e-HRM and strategic human resource management. Human Resource Management Review, 23(1), 18–36. https://doi.org/10.1016/j.hrmr.2012.06.002
Marler, J. H., & Parry, E.: (2015). Human resource management, strategic involvement and e-HRM technology. International Journal of Human Resource Management, 5192, 1-21.
Martín-Alcázar, F., Romero-Fernández, P. M., & Sánchez-Gardey, G. (2005). Strategic human resource management: integrating the universalistic, contingent, configurational and contextual perspectives. The International Journal of Human Resource Management, 16(5), 633–659. https://doi.org/10.1080/09585190500082519
Martini, M., Cavenago, D., & Marafioti, E. (2020). Exploring types, drivers and outcomes of social e-HRM. Employee Relations: The International Journal, 43(3), 788–806. https://doi.org/10.1108/er-10-2019-0404
Njoku, E., (2016). An analysis of the contribution of e-HRM to sustaining business performance [PhD thesis]. Newport: University of South Wales.
Obeidat, S. M. (2016). The link between e-HRM use and HRM effectiveness: an empirical study. Personnel Review, 45(6), 1281–1301. https://doi.org/10.1108/pr-04-2015-0111
Orlikowski, W. J., & Scott, S. V. (2008). 10 Sociomateriality: Challenging the Separation of Technology, Work and Organization. Academy of Management Annals, 2(1), 433–474. https://doi.org/10.5465/19416520802211644
Panayotopoulou, L., Galanaki, E., & Papalexandris, N. (2010). Adoption of electronic systems in HRM: is national background of the firm relevant? New Technology, Work and Employment, 25(3), 253–269. https://doi.org/10.1111/j.1468-005x.2010.00252.x
Panos, S., & Bellou, V. (2016). Maximizing e-HRM outcomes: a moderated mediation path. Management Decision, 54(5), 1088–1109. https://doi.org/10.1108/md-07-2015-0269
Parry, E., & Tyson, S. (2010). Desired goals and actual outcomes of e-HRM. Human Resource Management Journal, 21(3), 335–354. https://doi.org/10.1111/j.1748-8583.2010.00149.x
Ruël, H. J. M., Bondarouk, T. V., & Van der Velde, M. (2007). The contribution of e‐HRM to HRM effectiveness. Employee Relations, 29(3), 280–291. https://doi.org/10.1108/01425450710741757
Ruël, H., & van der Kaap, H. (2012). E-HRM Usage and Value Creation. Does a Facilitating Context Matter? German Journal of Human Resource Management: Zeitschrift Für Personalforschung, 26(3), 260–281. https://doi.org/10.1177/239700221202600304
Story, D. A., & Tait, A. R. (2019). Survey Research. Anesthesiology, 130(2), 192–202. https://doi.org/10.1097/aln.0000000000002436
Strohmeier, S. (2007). Research in e-HRM: Review and implications. Human Resource Management Review, 17(1), 19–37. https://doi.org/10.1016/j.hrmr.2006.11.002
Strohmeier, S. (2009). Concepts of e-HRM consequences: a categorisation, review and suggestion. The International Journal of Human Resource Management, 20(3), 528–543. https://doi.org/10.1080/09585190802707292
Strohmeier, S., & Kabst, R. (2009). Organizational adoption of e‐HRM in Europe. Journal of Managerial Psychology, 24(6), 482–501. https://doi.org/10.1108/02683940910974099
Strohmeier, S., & Kabst, R. (2014). Configurations of e-HRM – an empirical exploration. Employee Relations, 36(4), 333–353. https://doi.org/10.1108/er-07-2013-0082
Teo, T. S. H., Lim, G. S., & Fedric, S. A. (2007). The adoption and diffusion of human resources information systems in Singapore. Asia Pacific Journal of Human Resources, 45(1), 44–62. https://doi.org/10.1177/1038411107075402
Wahyudi, E., & Park, S. M. (2014). Unveiling the Value Creation Process of Electronic Human Resource Management. Public Personnel Management, 43(1), 83–117. https://doi.org/10.1177/0091026013517555
Zhang, Y. (2005). Age, gender, and Internet attitudes among employees in the business world. Computers in Human Behavior, 21(1), 1–10. https://doi.org/10.1016/j.chb.2004.02.006
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