Research in e-HRM: Review and implications
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The extent of technological advancement and the techno-HR alliance is becoming increasingly important as it provides support to a diverse set of actors in HRM to undertake their tasks effectively.
“The extent of technological advancement and the techno-HR alliance is becoming increasingly important as it provides support to a diverse set of actors in HRM to undertake their tasks effectively”
From AI-augmented HRM: Antecedents, assimilation and multilevel consequences (2023) · cites this paper as Strohmeier, 2007
Researchers have yet to consistently define the terms HRIS and eHRM.
“researchers have yet to consistently define these terms (Strohmeier, 2007).”
From The Evolution of the Field of Human Resource Information Systems: Co-Evolution of Technology and HR Processes (2016) · cites this paper as Strohmeier, 2007
Cites
Firm Resources and Sustained Competitive Advantage
Barney, J. (1991) · Journal of Management · doi:10.1177/014920639101700108 · Cited by 48,334 · see citing works
User Acceptance of Information Technology: Toward A Unified View1
Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003) · MIS Quarterly · doi:10.2307/30036540 · Cited by 45,035 · see citing works
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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Vrontis, D., Christofi, M., Pereira, V., Tarba, S., Makrides, A., & Trichina, E. (2022) · The International Journal of Human Resource Management · doi:10.1080/09585192.2020.1871398 · Cited by 1,134 · see citing works
“…also referred to as eHRM, has gained increasing attention as scholars have sought to understand the external influences rather than internal influences on organizational operations and HRM practices in particular (e.g. Alcaraz et al., 2012; Parry & Tyson, 2011; Strohmeier, 2007; Strohmeier, 2009).”
BackgroundThe influence of technology on the future of human resource management
Stone, D. L., Deadrick, D. L., Lukaszewski, K. M., & Johnson, R. (2015) · Human Resource Management Review · doi:10.1016/j.hrmr.2015.01.002 · Cited by 618 · see citing works
Conceptualising the future of HRM and technology research
Bondarouk, T., & Brewster, C. (2016) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1232296 · Cited by 438 · see citing works
Electronic HRM: four decades of research on adoption and consequences
Bondarouk, T., Parry, E., & Furtmueller, E. (2017) · The International Journal of Human Resource Management · doi:10.1080/09585192.2016.1245672 · Cited by 423 · see citing works
“widespread among large organizations Strohmeier & Kabst (2009) describe larger companies as earlier adopters, successful adoption is more widespread among small organizations”
BackgroundMethodInfluentialMarketing AI recruitment: The next phase in job application and selection
van Esch, P., Black, J. S., & Ferolie, J. (2019) · Computers in Human Behavior · doi:10.1016/j.chb.2018.09.009 · Cited by 391 · see citing works
Digital human resource management: A conceptual clarification
Strohmeier, S. (2020) · German Journal of Human Resource Management: Zeitschrift für Personalforschung · doi:10.1177/2397002220921131 · Cited by 358 · see citing works
Self-citationAI-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
An examination of e-HRM as a means to increase the value of the HR function
Parry, E. (2011) · The International Journal of Human Resource Management · doi:10.1080/09585192.2011.556791 · Cited by 193 · 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
State University of New York, Johnson, R. D., Lukaszewski, K. M., Wright State University, Stone, D. L., & State University of New York & Virginia Tech (2016) · Communications of the Association for Information Systems · doi:10.17705/1cais.03828 · Cited by 121 · see citing works
.Thathsara, A. D. S., & Sutha, J. (2021) · International Journal of Engineering and Management Research · doi:10.31033/ijemr.11.1.1 · Cited by 15 · see citing works
“Therefore in order to decrease the costs, modern organizations characterized E-HRM as a competitive solution for business that has the ability to create perfect supports for management of all processes, activities, data and required information of HRM at the organization [23].”
BackgroundWhether and when e-HRM improves organizational performance: A meta-analysis
Cheng, Y., & Zou, Y. (2021) · Academy of Management Proceedings · doi:10.5465/ambpp.2021.133 · Cited by 3 · see citing works
- Authors
- Strohmeier, S.
- Affiliations
- Saarland University (DE)
- Corresponding author
- Strohmeier, Stefan
- ORCID
- Strohmeier, Stefan
- Venue
- Human Resource Management Review
- Publisher
- Elsevier BV
- Published
- 2007-03
- Volume
- 17
- Issue
- 1
- Pages
- 19-37
- ISSN
- 1053-4822 (ISSN-L)
- OpenAlex
- W2030507789
- Cited by
- 571
- References
- 4
- Citations by year
- 2026: 29 · 2025: 38 · 2024: 32 · 2023: 41 · 2022: 37 · 2021: 46 · 2020: 25 · 2019: 37 · 2018: 32 · 2017: 21 · 2016: 30 · 2015: 33 · 2014: 32 · 2013: 29 · 2012: 27
- FWCI
- 39.01
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Human Resource Management Review (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 › AI and HR Technologies
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Human Resource and Talent Management
- Keywords
- electronic human resource management, e-HRM, research agenda, theoretical framework, levels of analysis, empirical methods, future research directions
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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