Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT

Pawan Budhwar; Soumyadeb Chowdhury; Geoffrey Wood; Herman Aguinis; Greg J. Bamber; Jose R. Beltran; Paul Boselie; Fang Lee Cooke; Stephanie Decker; Angelo DeNisi; Prasanta Kumar Dey; David Guest; Andrew J. Knoblich; Ashish Malik; Jaap Paauwe; Savvas Papagiannidis; Charmi Patel; Vijay Pereira; Shuang Ren; Steven Rogelberg; Mark N.K. Saunders; Rosalie L. Tung; Arup Varma

doi:10.1111/1748-8583.12524

Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT

Pawan Budhwar
, Soumyadeb Chowdhury
, Geoffrey Wood
, Herman Aguinis
, Greg J. Bamber
, Jose R. Beltran
, Paul Boselie
, Fang Lee Cooke
, Stephanie Decker
, Angelo DeNisi
, Prasanta Kumar Dey
, David Guest
, Andrew J. Knoblich
, Ashish Malik
, Jaap Paauwe
, Savvas Papagiannidis
, Charmi Patel
, Vijay Pereira
, Shuang Ren
, Steven Rogelberg

Mark N.K. Saunders, Rosalie L. Tung, Arup Varma

Quinlan School of Business

Aston University
TBS Business School
University of Western Ontario
Cranfield University
University of Bath
Trinity Business School
The George Washington University
Monash University
Rutgers University–Camden
Tilburg University
Utrecht University School of Governance
Birmingham Business School
A. B. Freeman School of Business
Aston Business School
King's College London
University of North Carolina
Newcastle Business School
Newcastle University Business School, United Kingdom
Henley Business School
NEOMA Business School
Queen’s University Belfast
Simon Fraser University

Research output: Contribution to journal › Review article › peer-review

Original language	English
Pages (from-to)	606-659
Number of pages	54
Journal	Human Resource Management Journal
Volume	33
Issue number	3
DOIs	https://doi.org/10.1111/1748-8583.12524
State	Published - Jul 2023

ASJC Scopus Subject Areas

Organizational Behavior and Human Resource Management

Keywords

CSR
ChatGPT
HRM
artificial intelligence
ethics
generative AI
human resource strategy
international human resource management
productivity
sustainability

Access to Document

10.1111/1748-8583.12524

Cite this

Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., Boselie, P., Lee Cooke, F., Decker, S., DeNisi, A., Dey, P. K., Guest, D., Knoblich, A. J., Malik, A., Paauwe, J., Papagiannidis, S., Patel, C., Pereira, V., Ren, S., ... Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606-659. https://doi.org/10.1111/1748-8583.12524

Budhwar, P, Chowdhury, S, Wood, G, Aguinis, H, Bamber, GJ, Beltran, JR, Boselie, P, Lee Cooke, F, Decker, S, DeNisi, A, Dey, PK, Guest, D, Knoblich, AJ, Malik, A, Paauwe, J, Papagiannidis, S, Patel, C, Pereira, V, Ren, S, Rogelberg, S, Saunders, MNK, Tung, RL & Varma, A 2023, 'Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT', Human Resource Management Journal, vol. 33, no. 3, pp. 606-659. https://doi.org/10.1111/1748-8583.12524

@article{276cf99e914f45a1a84628f9c0d1019d,

title = "Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT",

keywords = "CSR, ChatGPT, HRM, artificial intelligence, ethics, generative AI, human resource strategy, international human resource management, productivity, sustainability",

author = "Pawan Budhwar and Soumyadeb Chowdhury and Geoffrey Wood and Herman Aguinis and Bamber, \{Greg J.\} and Beltran, \{Jose R.\} and Paul Boselie and \{Lee Cooke\}, Fang and Stephanie Decker and Angelo DeNisi and Dey, \{Prasanta Kumar\} and David Guest and Knoblich, \{Andrew J.\} and Ashish Malik and Jaap Paauwe and Savvas Papagiannidis and Charmi Patel and Vijay Pereira and Shuang Ren and Steven Rogelberg and Saunders, \{Mark N.K.\} and Tung, \{Rosalie L.\} and Arup Varma",

note = "Publisher Copyright: {\textcopyright} 2023 The Authors. Human Resource Management Journal published by John Wiley \& Sons Ltd.",

year = "2023",

month = jul,

doi = "10.1111/1748-8583.12524",

language = "English",

volume = "33",

pages = "606--659",

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T1 - Human resource management in the age of generative artificial intelligence

T2 - Perspectives and research directions on ChatGPT

AU - Budhwar, Pawan

AU - Chowdhury, Soumyadeb

AU - Wood, Geoffrey

AU - Aguinis, Herman

AU - Bamber, Greg J.

AU - Beltran, Jose R.

AU - Boselie, Paul

AU - Lee Cooke, Fang

AU - Decker, Stephanie

AU - DeNisi, Angelo

AU - Dey, Prasanta Kumar

AU - Guest, David

AU - Knoblich, Andrew J.

AU - Malik, Ashish

AU - Paauwe, Jaap

AU - Papagiannidis, Savvas

AU - Patel, Charmi

AU - Pereira, Vijay

AU - Ren, Shuang

AU - Rogelberg, Steven

AU - Saunders, Mark N.K.

AU - Tung, Rosalie L.

AU - Varma, Arup

PY - 2023/7

Y1 - 2023/7

KW - CSR

KW - ChatGPT

KW - HRM

KW - artificial intelligence

KW - ethics

KW - generative AI

KW - human resource strategy

KW - international human resource management

KW - productivity

KW - sustainability

UR - https://www.scopus.com/pages/publications/85164660060

UR - https://www.scopus.com/pages/publications/85164660060#tab=citedBy

U2 - 10.1111/1748-8583.12524

DO - 10.1111/1748-8583.12524

M3 - Review article

AN - SCOPUS:85164660060

SN - 0954-5395

VL - 33

SP - 606

EP - 659

JO - Human Resource Management Journal

JF - Human Resource Management Journal

IS - 3

ER -

Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT

ASJC Scopus Subject Areas

Keywords

Access to Document

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