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A Cross-National Analysis of E-HRM Configurations: Integrating the Information Technology and HRM Perspectives

In: Organizing for Digital Innovation

Author

Listed:
  • Eleanna Galanaki

    (Athens University of Economics and Business)

  • Alessandra Lazazzara

    (University of Milan)

  • Emma Parry

    (Cranfield University)

Abstract

This study is based on a configurational approach and aims to provide systematic knowledge on which configurations of e-HRM adoption actually exist at the global level. We operationalised e-HRM configuration as a combination of the actual degree of technological presence and the degree to which the technology is used to enable HRM activities. The core research questions addressed in this paper are: Which configurational types exist in e-HRM adoption? Which contextual factors explain the emergence of a certain configurational type of e-HRM? We adopted an exploratory cross-national research design and performed a cluster analysis among 5854 companies operating in 31 countries. According to our findings four types of e-HRM configurations can be identified named “non-usage”, “HR primacy”, “Integrated e-HRM”, and “IT primacy”. In particular, the lack of cooperation between IT and HR departments generates hybrid e-HRM configurations and unsuccessful adoption. Moreover, organizational size, SHRM and competing in international markets contribute more to determine the actual type of e-HRM configuration. Our results suggest also that the effect of national policies triggering innovation on e-HRM configurations should be considered rather than broader geographical clusters.

Suggested Citation

  • Eleanna Galanaki & Alessandra Lazazzara & Emma Parry, 2019. "A Cross-National Analysis of E-HRM Configurations: Integrating the Information Technology and HRM Perspectives," Lecture Notes in Information Systems and Organization, in: Alessandra Lazazzara & Raoul C.D. Nacamulli & Cecilia Rossignoli & Stefano Za (ed.), Organizing for Digital Innovation, pages 261-276, Springer.
    • Handle: RePEc:spr:lnichp:978-3-319-90500-6_20
    DOI: 10.1007/978-3-319-90500-6_20
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    Cited by:

    1. Zia Ullah & Naveed Ahmad & Miklas Scholz & Bilal Ahmed & Ilyas Ahmad & Muhammad Usman, 2021. "Perceived Accuracy of Electronic Performance Appraisal Systems: The Case of a Non-for-Profit Organization from an Emerging Economy," Sustainability, MDPI, vol. 13(4), pages 1-16, February.
    2. Neelam Kaushal & Rahul Pratap Singh Kaurav & Brijesh Sivathanu & Neeraj Kaushik, 2023. "Artificial intelligence and HRM: identifying future research Agenda using systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 73(2), pages 455-493, June.
    3. Fadoua El Hajjaji El Idrissi & Abdelhay Benabdelhadi & Hind Kabaili, 2021. "Adoption and impact of electronic Human Resource Management: A systematic literature review," Technium Social Sciences Journal, Technium Science, vol. 21(1), pages 594-610, July.
    4. repec:thr:techub:10021:y:2021:i:1:p:594-610 is not listed on IDEAS

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