Adoption of AI by the HR function in the civil service

Purpose This paper uses the Technology Acceptance Model (TAM) to assess the readiness of the HR function within the UK Civil Service (CSHR) to implement AI to support performance. Academic literature in relation to AI acceptance in HR functions is currently limited, so this paper aims to establish a better understanding of the current landscape and level of ambition in this area. Design/methodology/approach A quantitative research approach was adopted to determine likely behavioral intentions of workers in the human resource (HR)function if AI were implemented, by investigating key aspects of the TAM (the perceived usefulness of AI and the transparency of the CSHR in adopting AI). Findings While the results suggest that the CSHR is not ready to harness AI opportunities, employees were personally ready, despite perceiving a lack of sufficient knowledge in this area. The paper identifies that more time needs to be spent on raising awareness and upskilling the HR function before the CS can be considered fully ready to harness these opportunities. Originality/value The penetration of artificial intelligence (AI) technologies into the global workforce brings transformative potential to the governance structures and use of digital platforms in public sector organizations. AI is likely to play a role in the operation of HR functions and influence how they might operate in the near future.

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Institutions

Publication Details

Journal
Employee Relations
Published
2024-12-18
DOI
https://doi.org/10.1108/er-02-2024-0096
Citations
7
Primary Topic
Big Data and Business Intelligence
Type
article
Field-Weighted Citation Impact
3.70
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article

Adoption of AI by the HR function in the civil service

Hsiao‐Ting Tseng, Guru Prabhakar, Tahir M. Nisar, Melanie Hudson Smith
7 citations
Employee Relations
Big Data and Business Intelligence
3.70
article

Adoption of AI by the HR function in the civil service

Hsiao‐Ting Tseng, Guru Prabhakar, Tahir M. Nisar, Melanie Hudson Smith
article en
7 citations

Abstract

Purpose This paper uses the Technology Acceptance Model (TAM) to assess the readiness of the HR function within the UK Civil Service (CSHR) to implement AI to support performance. Academic literature in relation to AI acceptance in HR functions is currently limited, so this paper aims to establish a better understanding of the current landscape and level of ambition in this area. Design/methodology/approach A quantitative research approach was adopted to determine likely behavioral intentions of workers in the human resource (HR)function if AI were implemented, by investigating key aspects of the TAM (the perceived usefulness of AI and the transparency of the CSHR in adopting AI). Findings While the results suggest that the CSHR is not ready to harness AI opportunities, employees were personally ready, despite perceiving a lack of sufficient knowledge in this area. The paper identifies that more time needs to be spent on raising awareness and upskilling the HR function before the CS can be considered fully ready to harness these opportunities. Originality/value The penetration of artificial intelligence (AI) technologies into the global workforce brings transformative potential to the governance structures and use of digital platforms in public sector organizations. AI is likely to play a role in the operation of HR functions and influence how they might operate in the near future.

Employee RelationsVol. 47(1)
University of the West of England (GB), National Central University (TW), University of Southampton (GB)
Openalex Percentile: Top 6%
Big Data and Business Intelligence
3.70
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Adoption of AI by the HR function in the civil service — Hsiao‐Ting Tseng, Guru Prabhakar, et al. · Employee Relations (2024) | TGRS Research Map | TGRS