TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Böhmer, Nicole
A1  - Schinnenburg, Heike
T1  - Critical exploration of AI‐driven HRM to build up organizational capabilities
JF  - Employee Relations
N2  - HRM processes are increasingly AI-driven, and HRM supports the general digital transformation of companies’ viable competitiveness. This paper points out possible positive and negative effects on HRM, workplaces, and workersorganizations along the HR processes and its potential for competitive advantage in regard to managerial decisions on AI implementation regarding augmentation and automation of work.
A systematic literature review that includes 62 international journals across different disciplines and contains top-tier academic and German practitioner journals was conducted. The literature analysis applies the resource-based view (RBV) as a lens through which to explore AI-driven HRM as a potential source of organizational capabilities.
The analysis shows four ambiguities for AI-driven HRM that might support sustainable company development or might prevent AI application: job design, transparency, performance and data ambiguity. A limited scholarly discussion with very few empirical studies can be stated. To date, research has mainly focused on HRM in general, recruiting, and HR analytics in particular.
The four ambiguities’ context-specific potential for capability building in firms is indicated, and research avenues are developed.
This paper critically explores AI-driven HRM and structures context-specific potential for capability building along four ambiguities that must be addressed by HRM to strategically contribute to an organization’s competitive advantage.
KW  - Artificial Intelligence
KW  - HRM
KW  - Resource-Based View
KW  - Ambiguity
KW  - Context
KW  - Literature Review
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:959-opus-40133
SN  - 1758-7069
SS  - 1758-7069
U6  - https://doi.org/10.1108/ER-04-2022-0202
DO  - https://doi.org/10.1108/ER-04-2022-0202
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Veröffentlichter Artikel unter https://doi.org/10.1108/ER‐04‐2022‐0202
SP  - 41
S1  - 41
ER  -