Articulating a model to enhance the effect of e-HRM on sustainable competitive advantage

Musa Nyathi

doi:10.18282/hrms.v6i3.3421

Musa Nyathi School of Business Leadership, University of South Africa, Pretoria, South Africa

Ariticle ID: 3421

21 Views, 14 PDF Downloads

DOI: https://doi.org/10.18282/hrms.v6i3.3421

Keywords: e-HRM use; sustainable competitive advantage; job satisfaction; employee performance; perception of organizational politics

Abstract

Purpose: This paper articulates a model that maximizes the use of e-HRM to achieve sustainable competitive advantage. It examines the indirect effects of e-HRM use on sustainable competitive advantage, through job satisfaction, employee performance, and perceived organizational politics. Design/methodology/approach: A survey approach was used to collect data from 30 organizations. A purposive sampling technique was used to select the study sample. The SPSS PROCESS Macro for running mediation analysis was used to analyze data. Findings: The findings show the indirect effect of e-HRM on sustainable competitive advantage through job satisfaction, employee performance, and perceived organizational politics. Job satisfaction has the biggest effect on achieving strategic outcomes. For organizational excellence, e-HRM use should complement other HRM practices. Practical implications: Management should pay attention to employee outcomes during the implementation of e-HRM. This study broadens the scope of the interaction between e-HRM use and sustainable competitive advantage. This study was conducted in a developing economy and demonstrated that the effects of e-HRM use on sustainable competitive advantage are not limited to developed economies. Originality/value: This study is one of the pioneering efforts to develop a model that maximizes organizational outcomes in developing countries. In addition, this study contributes to the understanding of intervening variables necessary to enhance information technology’s potential within the HR function.

References

Armstrong, M. (2008). Strategic Human Resource Management, A Guide to Action. Kogan Page, London.

Autor, D., Levy, F., & Murnane, R. J. (2003). The Skill Content of Recent Technological Change: An Empirical Exploration. Oxford University Press, Oxford.

Baruch, Y. & Holton, B. (2008). Survey response rate levels and trends in organizational research. Human Relations, 61(8), 1139–1160. https://doi.org/10.1177/0018726708094863

Beulen, E. (2009). The contribution of a global service provider’s Human Resources Information System (HRIS) to staff retention in emerging markets. Information Technology & People, 22(3), 270–288. https://doi.org/10.1108/09593840910981446

Bodla, M., Afza, T. & Danish, R. (2014). Relationship between organizational politics perceptions and employees’ performance: Mediating role of social exchange perceptions. Pakistan Journal of Commerce and Social Sciences, 8(2), 426–444.

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. (2014). Orchestrating the e-HRM symphony. University of Twente, Enschede.

Bondarouk, T., Parry, E. & Furtmueller, E. (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

Bondarouk, T. V. & Ruël, H. J. M. (2009). Electronic Human Resource Management: challenges in the digital era. The International Journal of Human Resource Management, 20(3), 505–514. https://doi.org/10.1080/09585190802707235

Bouckenooghe, D., Zafar, A. & Raja, U. (2015). How ethical leadership shapes employees’ job performance: The mediating roles of goal congruence and psychological capital. Journal of Business Ethics, 129(2), 251–264. https://doi.org/10.1007/s10551-014-2162-3

Bravo, E., Santana, M. & Rodon, J. (2016). Automating and informating roles to examine technology’s impact on performance. Behaviour & Information Technology, 35(7), 586–604. https://doi.org/10.1080/0144929x.2016.1166521

Brubaker, T. (2012). Measuring political perception in organizations: assessing reliability and validity of POPS across cultures. Journal of Economics and Behavioral Studies, 4(10), 603–611. https://doi.org/10.22610/jebs.v4i10.361

Bryman, A. (2016). Social Research Methods. Oxford University Press.

Chang, C., Rosen, C. & Levy, P. (2009). The relationship between perceptions of organizational politics and employee attitudes, strain, and behavior: A meta-analytic examination. Academy of Management Journal, 52(4), 779-801.

Diamantidis, D. & Chatzoglou, P. (2019). Factors affecting employee performance: an empirical approach. International Journal of Productivity and Performance Management, 68(1), 171–193.

Gonzalez, C. & Geovany, E. (2021). Rethinking the fourth power dimension: Organizational subject and culture change. Ciencias Administrativas, 18, 086. https://doi.org/10.24215/23143738e086

Goodhue, D. L. & Thompson, R. L. (1995). Task-technology fit and individual performance. MIS Quarterly, 19(2), 213. https://doi.org/10.2307/249689

Goodman, S. A. & Svyantek, D. J. (1999). Person-organization fit and contextual performance: do shared values matter. Journal of Vocational Behavior, 55(2), 254–275. https://doi.org/10.1006/jvbe.1998.1682

Hackman, J. R. & Oldham, G. R. (1980). Development of the Job Diagnostic Survey. Journal of Applied Psychology, 60(2), 159–170. https://doi.org/10.1037/h0076546

Haines, V. Y. & Lafleur, G. (2008). Information technology usage and human resource roles and effectiveness. Human Resource Management, 47(3), 525–540. https://doi.org/10.1002/hrm.20230

Johnson, R., Lukaszewski, K. & Stone, D. (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), 533–553. https://doi.org/10.17705/1cais.03828

Judge, T., Zhang, S. & Glerum, D. (2020). Job satisfaction. In: Essentials of job attitudes and other workplace psychological constructs. Routledge, London.

Kacmar, K. & Carlson, D. (1997). Further validation of the perceptions of politics scale (POPS): A multiple sample investigation. Journal of Management, 23(5), 627–658.

Khalid, S. & Ishaq, S. (2015). Job related outcomes in relation to perceived organizational politics. In: Pakistan Economic and Social Review. Punjab University.

Kulkarni, S. (2014). Human capital enhancement through e-HRM. Journal of Management & Research, 3(1), 59–74.

Manzoor, F., Wei, L., Banyai, T., et al. (2019). An examination of sustainable HRM practices on job performance: An application of training as a moderator. Sustainability, 11(8), 2263. https://doi.org/10.3390/su11082263

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

Martin, G. & Reddington, M. (2010). Theorizing the links between e-HR and strategic HRM: A model, case illustration and reflections. The International Journal of Human Resource Management, 21(10), 1553–1574. https://doi.org/10.1080/09585192.2010.500483

Meisler, G. & Vigoda-Gadot, E. (2013). Perceived organizational politics, emotional intelligence and work outcomes. Personnel Review, 43(1), 116–135. https://doi.org/10.1108/pr-02-2012-0040

Melián-González, S. & Bulchand-Gidumal, J. (2016). A model that connects information technology and hotel performance. Tourism Management, 53, 30–37. https://doi.org/10.1016/j.tourman.2015.09.005

Miner, J. (2015). Organizational Behavior 4: From Theory to Practice. Routledge, London

Morris, M. G., & Venkatesh, V. (2010). Job Characteristics and Job Satisfaction: Understanding the Role of Enterprise Resource Planning System Implementation. MIS Quarterly, 34(1), 143. https://doi.org/10.2307/20721418

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

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. (2011). 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

Parry, E. (2011). An examination of e-HRM as a means to increase the value of the HR function. The International Journal of Human Resource Management, 22(5), 1146–1162. https://doi.org/10.1080/09585192.2011.556791

Perrewe, P., Rosen, C. & Masiach, C. (2012). Organizational politics and stress: The development of a process model. In: Politics in organizations: Theory and research considerations. Routledge, London.

Poisat, P. & Mey, M. (2017). Electronic human resource management: Enhancing or entrancing? S.A Journal of Human Resource Management, 15(1), 1–9.

Ram, P. & Prabhakar, G. (2010). The role of employee engagement in work-related outcomes. Interdisciplinary Journal of Research in Business, 1(3), 47–61.

Robbins, S. & Judge, T. (2017). Organizational Behavior, 16th ed. Pearson, London.

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

Ruel, H. J. M., Bondarouk, T. & van der Velde, M. (2007). The contribution of e-HRM to HRM effectiveness. Results from a quantitative study in a Dutch Ministry. Employee Relations, 29(3), 280–291. https://doi.org/10.1108/01425450710741757

Saeed, M., Butt, A. & Azam, N (2013). Effects of organizational politics, organizational commitment, organizational communication and task delegation on the individual project team members’ performance. In: Proceedings of the 2013 International Conference on Safety, Construction Engineering and Project Management.

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

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

Sykes, T. A., Venkatesh, V. & Johnson, J. L. (2014). Enterprise system implementation and employee job performance: Understanding the role of advice networks. MIS Quarterly, 38(1), 51–72. https://doi.org/10.25300/misq/2014/38.1.03

Tafti, A., Mithas, S. & Krishnan, M. S. (2007). Information technology and the autonomy—control duality: Toward a theory. Information Technology and Management, 8(2), 147–166. https://doi.org/10.1007/s10799-007-0014-x

Wahyudi, E. & Park, S. (2014). Unveiling the value creation process of electronic human resource management: an Indonesian case. Public Personnel Management, 43(1), 83–117. https://doi.org/10.1177/0091026013517555

Weiss, D. J., Dawis, R. V., England, G. W. & Lofquist, L. H. (1967). Manual for the Minnesota satisfaction questionnaire. University of Minnesota.

Yusoff, R., Ali, A. & Khan, A. (2014). Assessing reliability and validity of job performance scale among university teachers. Journal of Basic and Applied Scientific Research, 4(1), 35–41.