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TRUVACE RECORD VERSION
record: TRV-2026-0437
version: 1
kind: certified
reason: Certified into the record
timestamp: 2026-07-20T10:50:34.762730Z
status: published
lens: trace
sector: business
headline: Generative Artificial Intelligence in Business: Towards a Strategic Human Resource Management Framework
dek: Abstract As businesses and society navigate the potentials of generative artificial intelligence (GAI), the integration of these technologies introduces unique challenges and opportunities for human resources, requiring a re‐evaluation of human resource management (HRM) frameworks. The existing frameworks may often fall short of capturing the novel attributes, complexities and impacts of GAI on workforce dynamics and organizational operations. This paper proposes a strategic HRM framework, underpinned by the the…
gain_title: Integrating generative AI within HRM practices under a strategic framework aligned with business objectives can boost operational efficiency, foster innovation and secure competitive advantage through responsible practices and workforce development.
problem_title: Existing HRM frameworks fall short of capturing the novel attributes, complexities and impacts of generative AI on workforce dynamics and organizational operations, introducing unique challenges for human resources.
trace_subject: integration of generative AI within HRM and its impact on workforce dynamics and organizational operations
gain_reading: Integrating generative AI within HRM practices under a strategic framework aligned with business objectives can boost operational efficiency, foster innovation and secure competitive advantage through responsible practices and workforce development.
gain_evidence: to boost operational efficiency, foster innovation and secure a competitive advantage through responsible practices and workforce development
problem_reading: Existing HRM frameworks fall short of capturing the novel attributes, complexities and impacts of generative AI on workforce dynamics and organizational operations, introducing unique challenges for human resources.
problem_evidence: The existing frameworks may often fall short of capturing the novel attributes, complexities and impacts of GAI on workforce dynamics and organizational operations | integration of these technologies introduces unique challenges and opportunities for human resources
quick_read: On 2024-04-11 this peer-reviewed paper proposed a strategic human resource management framework for integrating generative artificial intelligence in business, arguing existing HRM frameworks fall short and outlining components including alignment with business objectives, seizing opportunities, resource assessment and orchestration, re-institutionalization and continuous learning.

The framework matters because it attempts to link HRM practice to operational efficiency, innovation and competitive advantage while accounting for GAI-human capital symbiosis, but as of publication it remains conceptual and untested, with empirical validation and broader economic and societal implications left for future research.
limitation: The framework is conceptual and has not been empirically tested; its applicability, implications for HRM practices, and broader economic and societal consequences remain to be examined through future multi-disciplinary research.
tag: Automated dual reading
key_points: Proposes strategic HRM framework underpinned by theory of institutional entrepreneurship for sustainable organizations | Framework centers on alignment with business objectives, strategic resource assessment and orchestration, re-institutionalization, realignment and continuous learning | Identifies GAI-human capital symbiosis as core consideration for HRM
rundown: The paper draws on institutional entrepreneurship for sustainable organizations to structure the response, emphasizing strategic resource assessment and orchestration, re-institutionalization, realignment, and embracing a culture of continuous learning and adaptation.

It positions the contribution as bridging HRM and GAI adoption literature, explicitly accounting for GAI-human capital symbiosis and outlining a roadmap for navigating a GAI-enhanced business environment.
sources:
- peer_reviewed | British Journal of Management | https://doi.org/10.1111/1467-8551.12824 | 2024-04-11
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