A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective

Artificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of AI on workplace outcomes more closely over the past two decades, the literature falls short in providing a holistic scholarly review of this b...

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Published inHuman resource management review Vol. 33; no. 1; p. 100857
Main Authors Pereira, Vijay, Hadjielias, Elias, Christofi, Michael, Vrontis, Demetris
Format Journal Article
LanguageEnglish
Published Elsevier Inc 01.03.2023
Subjects
Artificial intelligence
Integrative framework
Systematic review
Workplace outcomes
Systematic review
Integrative framework
Workplace outcomes
Artificial intelligence
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Abstract Artificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of AI on workplace outcomes more closely over the past two decades, the literature falls short in providing a holistic scholarly review of this body of research. Such a review is needed in order to: (a) guide future research on the effects of AI on the workplace; and (b) help managers make proper use of AI technology to improve workplace and organizational outcomes. This is the first systematic review to explore the relationship between artificial intelligence and workplace outcomes. Through an exhaustive systematic review and analysis of existing literature, we ultimately examine and cross-relate 60 papers, published in 30 leading international (AJG 3 and 4) journals over a period of 25 years (1995–2020). Our review researches the AI-workplace outcomes nexus by drawing on the major functions of human resource management and the process framework of ‘antecedents, phenomenon, outcomes’ at multiple levels of analysis. We review the sampled articles based on years of publication, theories, methods, and key themes across the ‘antecedents, phenomenon, outcomes’ framework. We provide useful directions for future research by embedding our discussion within HR literature, while we recommend topics drawing on alternative units of analysis and theories that draw on the individual, team, and institutional levels. •Critical review of literature on Artificial Intelligence and workplace outcomes.•Themes the literature based on HR functions.•Provides an integrative, process framework.•Analysis and future research directions drawing on distinct HR functions.•Suggestions are set out to guide the future research agenda on this research domain.
AbstractList Artificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of AI on workplace outcomes more closely over the past two decades, the literature falls short in providing a holistic scholarly review of this body of research. Such a review is needed in order to: (a) guide future research on the effects of AI on the workplace; and (b) help managers make proper use of AI technology to improve workplace and organizational outcomes. This is the first systematic review to explore the relationship between artificial intelligence and workplace outcomes. Through an exhaustive systematic review and analysis of existing literature, we ultimately examine and cross-relate 60 papers, published in 30 leading international (AJG 3 and 4) journals over a period of 25 years (1995–2020). Our review researches the AI-workplace outcomes nexus by drawing on the major functions of human resource management and the process framework of ‘antecedents, phenomenon, outcomes’ at multiple levels of analysis. We review the sampled articles based on years of publication, theories, methods, and key themes across the ‘antecedents, phenomenon, outcomes’ framework. We provide useful directions for future research by embedding our discussion within HR literature, while we recommend topics drawing on alternative units of analysis and theories that draw on the individual, team, and institutional levels. •Critical review of literature on Artificial Intelligence and workplace outcomes.•Themes the literature based on HR functions.•Provides an integrative, process framework.•Analysis and future research directions drawing on distinct HR functions.•Suggestions are set out to guide the future research agenda on this research domain.
ArticleNumber 100857
Author Hadjielias, Elias
Christofi, Michael
Vrontis, Demetris
Pereira, Vijay
Author_xml – sequence: 1
  givenname: Vijay
  surname: Pereira
  fullname: Pereira, Vijay
  email: vijay.pereira@port.ac.uk
  organization: NEOMA Business School, Reims Campus, France
– sequence: 2
  givenname: Elias
  surname: Hadjielias
  fullname: Hadjielias, Elias
  email: elias.hadjielias@cut.ac.cy
  organization: School of Management and Economics, Cyprus University of Technology, 30 Archbishop Kyprianos Street, 3036 Limassol, Cyprus
– sequence: 3
  givenname: Michael
  surname: Christofi
  fullname: Christofi, Michael
  email: michael.christofi@cut.ac.cy
  organization: School of Management and Economics, Cyprus University of Technology, 30 Archbishop Kyprianos Street, 3036 Limassol, Cyprus
– sequence: 4
  givenname: Demetris
  surname: Vrontis
  fullname: Vrontis, Demetris
  email: vrontis.d@unic.ac.cy
  organization: University of Nicosia, 46 Makedonitissas Avenue, CY-2417, P.O.Box 24005, CY-1700 Nicosia, Cyprus
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Snippet Artificial intelligence (AI) can bring both opportunities and challenges to human resource management (HRM). While scholars have been examining the impact of...
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StartPage 100857
SubjectTerms Artificial intelligence
Integrative framework
Systematic review
Workplace outcomes
Title A systematic literature review on the impact of artificial intelligence on workplace outcomes: A multi-process perspective
URI https://dx.doi.org/10.1016/j.hrmr.2021.100857
Volume 33
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