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

Pawan Budhwar, Ashish Malik, Shuang Ren

Research output: Contribution to journalComment/debatepeer-review

Abstract

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, … 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. 


In this article, some of the affiliations linked to Greg J. Bamber throughout the article were incorrect. The correct affiliations to Greg J. Bamber should be: 8Monash Data Futures Institute, Monash University, Melbourne, Australia 12Monash Business School, Monash University, Melbourne, Australia 19Newcastle University Business School, Newcastle University, Newcastle Upon Tyne, UK 

In addition, the city to Affiliation 5 “University of Bath, Claver Down, UK” was incorrect. This should have read: “University of Bath, Claverton Down, UK”. We apologize for these errors.

Original languageEnglish
Pages (from-to)1097
Number of pages1
JournalHuman Resource Management Journal
Volume33
Issue number4
Early online date01 Sept 2023
DOIs
Publication statusPublished - Nov 2023

Bibliographical note

Publisher Copyright:
© 2023 John Wiley & Sons Ltd.

ASJC Scopus subject areas

  • Organizational Behavior and Human Resource Management

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