Unlocking the value of artificial intelligence in human resource management through AI capability framework
Soumyadeb Chowdhury
1
,
Prasanta Kumar Dey
2
,
Sian Joel Edgar
3
,
Sudeshna Bhattacharya
4
,
Amelie Abadie
5
,
Linh Truong
2
1
Information, Operations and Management Sciences Department, TBS Business School, 1 Place Alphonse Jourdain, 31068 Toulouse, France
|
5
Marketing Department, TBS Business School, Lot. La Colline II, Route de Nouasseur, Casablanca, Morocco
|
Publication type: Journal Article
Publication date: 2023-03-01
scimago Q1
wos Q1
SJR: 3.934
CiteScore: 24.7
Impact factor: 13.0
ISSN: 10534822, 18737889
Organizational Behavior and Human Resource Management
Applied Psychology
Abstract
Artificial Intelligence (AI) is increasingly adopted within Human Resource management (HRM) due to its potential to create value for consumers, employees, and organisations. However, recent studies have found that organisations are yet to experience the anticipated benefits from AI adoption, despite investing time, effort, and resources. The existing studies in HRM have examined the applications of AI, anticipated benefits, and its impact on human workforce and organisations. The aim of this paper is to systematically review the multi-disciplinary literature stemming from International Business, Information Management, Operations Management, General Management and HRM to provide a comprehensive and objective understanding of the organisational resources required to develop AI capability in HRM. Our findings show that organisations need to look beyond technical resources, and put their emphasis on developing non-technical ones such as human skills and competencies, leadership, team co-ordination, organisational culture and innovation mindset, governance strategy, and AI-employee integration strategies, to benefit from AI adoption. Based on these findings, we contribute five research propositions to advance AI scholarship in HRM. Theoretically, we identify the organisational resources necessary to achieve business benefits by proposing the AI capability framework, integrating resource-based view and knowledge-based view theories. From a practitioner’s standpoint, our framework offers a systematic way for the managers to objectively self-assess organisational readiness and develop strategies to adopt and implement AI-enabled practices and processes in HRM. • A systematic and bibliometric review of multidisciplinary management literature is reported to advance AI scholarship in HRM • The key themes identified are: HRM applications; Collective Intelligence; Employment; Drivers and barriers to AI adoption • We propose AI capability framework to develop resources, skillsets and strategies that will facilitateAI adoption in HRM • The research priorities are: AI transparency, AI-employee collaboration, AI skills, governance and SME-centric studies.
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Metrics
499
Total citations:
499
Citations from 2024:
419
(83.97%)
The most citing journal
Citations in journal:
19
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GOST
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Chowdhury S. et al. Unlocking the value of artificial intelligence in human resource management through AI capability framework // Human Resource Management Review. 2023. Vol. 33. No. 1. p. 100899.
GOST all authors (up to 50)
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Chowdhury S., Dey P. K., Joel Edgar S., Bhattacharya S., Rodríguez-Espíndola O., Abadie A., Truong L. Unlocking the value of artificial intelligence in human resource management through AI capability framework // Human Resource Management Review. 2023. Vol. 33. No. 1. p. 100899.
Cite this
RIS
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TY - JOUR
DO - 10.1016/j.hrmr.2022.100899
UR - https://doi.org/10.1016/j.hrmr.2022.100899
TI - Unlocking the value of artificial intelligence in human resource management through AI capability framework
T2 - Human Resource Management Review
AU - Chowdhury, Soumyadeb
AU - Dey, Prasanta Kumar
AU - Joel Edgar, Sian
AU - Bhattacharya, Sudeshna
AU - Rodríguez-Espíndola, Oscar
AU - Abadie, Amelie
AU - Truong, Linh
PY - 2023
DA - 2023/03/01
PB - Elsevier
SP - 100899
IS - 1
VL - 33
SN - 1053-4822
SN - 1873-7889
ER -
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BibTex (up to 50 authors)
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@article{2023_Chowdhury,
author = {Soumyadeb Chowdhury and Prasanta Kumar Dey and Sian Joel Edgar and Sudeshna Bhattacharya and Oscar Rodríguez-Espíndola and Amelie Abadie and Linh Truong},
title = {Unlocking the value of artificial intelligence in human resource management through AI capability framework},
journal = {Human Resource Management Review},
year = {2023},
volume = {33},
publisher = {Elsevier},
month = {mar},
url = {https://doi.org/10.1016/j.hrmr.2022.100899},
number = {1},
pages = {100899},
doi = {10.1016/j.hrmr.2022.100899}
}
Cite this
MLA
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Chowdhury, Soumyadeb, et al. “Unlocking the value of artificial intelligence in human resource management through AI capability framework.” Human Resource Management Review, vol. 33, no. 1, Mar. 2023, p. 100899. https://doi.org/10.1016/j.hrmr.2022.100899.
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