Configurations of e-HRM-an empirical exploration
Abstract
Purpose: – The purpose of this paper is to investigate types, contexts and consequences of electronic HRM (e-HRM) configurations to get a deeper understanding of the reasons, kinds and success of different e-HRM types. Design/methodology/approach: – The paper uses a cross-sectional survey of senior HR persons and analyses data with exploratory methods, i.e. cluster analysis, classification tree analysis and analysis of variance. Findings: – The results show that actually three configurations of e-HRM – “non users”, “operational users” and “power users” – exist. These can be explained by a sparse, yet meaningful set of contextual variables. All three configurations markedly contribute to organisational success, whereas the “power user”-configuration exceeds the other configurations. Research limitations/implications: – The employed e-HRM typology shows a precursory status and the empirical study is exploratory in nature. Thus, searching for a clearer theoretical foundation, improving the hypothesising of variables and undertaking further empirical studies to replicate the findings are necessary future steps. Practical implications: – Not always a maximum of electronic support seems to be indicated. Depending on the respective organisational context, even no electronic support, or else, a merely operational electronic support appears to be admissible; while, however, in larger and strategic-oriented organisations full electronic support outperforms other configurations. Originality/value: –The paper focuses on different e-HRM types and gives some first insights into reasons, kinds and success of different configurations. This should lead to a refined understanding of e-HRM and evoke further research on the subject.
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Power-users e-HRM configuration will have a positive influence on HRM (AI) routinization.
“Research Proposition 3 (a-d): Power-users e-HRM configuration will have a positive influence on HRM (AI) (a) initiation,(b) adoption, (c) routinization, and (d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Strohmeier & Kabst, 2014
Power-users e-HRM configuration will have a positive influence on HRM (AI) extension.
“Research Proposition 3 (a-d): Power-users e-HRM configuration will have a positive influence on HRM (AI) (a) initiation,(b) adoption, (c) routinization, and (d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Strohmeier & Kabst, 2014
Power-users e-HRM configuration will have a positive influence on HRM (AI) adoption.
“Research Proposition 3 (a-d): Power-users e-HRM configuration will have a positive influence on HRM (AI) (a) initiation,(b) adoption, (c) routinization, and (d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Strohmeier & Kabst, 2014
Power-users e-HRM configuration will have a positive influence on HRM (AI) initiation.
“Research Proposition 3 (a-d): Power-users e-HRM configuration will have a positive influence on HRM (AI) (a) initiation,(b) adoption, (c) routinization, and (d) extension.”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Strohmeier & Kabst, 2014
Cites
Virtual HR: Strategic human resource management in the 21st century
Lepak, D. P., & Snell, S. A. (1998) · Human Resource Management Review · doi:10.1016/s1053-4822(98)90003-1 · Cited by 454 · see citing works
Ruël, H., Bondarouk, T., & Looise, J. K. (2004) · management revu · doi:10.5771/0935-9915-2004-3-364 · Cited by 441 · see citing works
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AI-augmented HRM: Antecedents, assimilation and multilevel consequences
Prikshat, V., Malik, A., & Budhwar, P. (2023) · Human Resource Management Review · doi:10.1016/j.hrmr.2021.100860 · Cited by 200 · see citing works
The link between e-HRM use and HRM effectiveness: an empirical study
Obeidat, S. M. (2016) · Personnel Review · doi:10.1108/pr-04-2015-0111 · Cited by 124 · see citing works
Unrealistic Optimism Regarding Artificial Intelligence Opportunities in Human Resource Management
Weber, P. (2023) · International Journal of Knowledge Management · doi:10.4018/ijkm.317217 · Cited by 31 · see citing works
- Authors
- Strohmeier, S., & Kabst, R.
- Affiliations
- Saarland University (DE)
- ORCID
- Strohmeier, Stefan
- Venue
- Employee Relations
- Publisher
- Emerald
- Published
- 2014-05-27
- Volume
- 36
- Issue
- 4
- Pages
- 333-353
- ISSN
- 0142-5455 (ISSN-L)
- OpenAlex
- W2109287190
- Cited by
- 73
- References
- 2
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 9 · 2023: 10 · 2022: 8 · 2021: 11 · 2020: 4 · 2019: 6 · 2018: 6 · 2017: 4 · 2016: 2 · 2015: 3
- FWCI
- 6.60
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Employee Relations (publishedVersion)
- Topics
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Employer Branding and e-HRM
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › AI and HR Technologies
- Keywords
- power users, non-users, HR technology adoption, organizational success, contextual factors, human resource management
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