Repository logo
Log In(current)
  1. Home
  2. Prodotti della ricerca
  3. D. Contributo in Atti di convegno
  4. D1. Contributo in Atti di convegno
  5. Alternative Work Arrangements and Artificial Intelligence: a Bibliometric Literature Review

Alternative Work Arrangements and Artificial Intelligence: a Bibliometric Literature Review

Author(s)
Trivelli, Rebecca
Smacchia, Marco  
Cipriano, Michele
Za, Stefano
Date Issued
2024
Type
conferenceObject
Abstract
The organizational design of firms is increasingly affected by digital transformation initiatives, where technological advancements, particularly in artificial intelligence (AI), often generate instability in working and organizational practices. In the literature, some researchers are exploring the latest conceptualizations of work arrangements, such as remote, hybrid, and fluid work. Although the discussion on alternative work arrangements and technology adoption spans over thirty years of research, few studies provide a comprehensive understanding of the heterogeneous conceptualizations, antecedents, and innovations relative to different forms and practices of work. This study proposes a comprehensive synthesis of such a discourse, examining the interconnection with the AI domain. By manually selecting a sample of 341 over 1129 documents retrieved on Scopus, ranging from 1992 to (early) 2024, we conducted a bibliometric literature review, performing descriptive and conceptual analyses. We identified six themes that underline the significant impact of AI on transforming various aspects of work, requiring a new set of skills and new management approaches from both organizations and individuals. This study contributes to the existing body of literature on non-standard forms of employment and could offer insights that can guide managers in identifying effective strategies for workforce management.
Handle
http://hdl.handle.net/2067/53892
Related items
Metrics
Conference(s)
MCIS 2024 Navigating Digital Landscapes: Bridging Technology, People, and Processes

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science

  • Accessibility settings
  • Privacy policy
  • End User Agreement
  • Send Feedback
Repository logo COAR Notify