Artificial intelligence and family business

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Introduction

Artificial intelligence has become a topical issue for many family businesses due to the uncertainty around its usage and implementation. Recently the rapid advances in artificial intelligence have made it a reality for many businesses so it is important to consider how family businesses as a distinct type of family business are utilising it. This special journal issue will focus on broad issues related to artificial intelligence including the use of augmented, virtual and mixed reality by family businesses as well as the usage of the metaverse and alternative online worlds. Systematic reviews, new theoretical and conceptual articles related to artificial intelligence in family businesses are encouraged as well as empirical articles that can incorporate a range of methodological approaches.

List of Topic Areas

  • Artificial intelligence usage by family businesses 
  • Integration of digital technology using machine learning in family business 
  • Family businesses usage of augmented and virtual reality Internationalisation of family businesses through the metaverse 
  • Emerging artificial intelligence technology innovation by family business 
  • Succession issues regarding artificial intelligence 
  • Virtual technology usage by family businesses

Submissions Information

Submissions are made using ScholarOne Manuscripts. Registration and access are available here.
Author guidelines must be strictly followed. Please see here.
Authors should select (from the drop-down menu) the special issue title at the appropriate step in the submission process, i.e. in response to ““Please select the issue you are submitting to”. 
Submitted articles must not have been previously published, nor should they be under consideration for publication anywhere else, while under review for this journal.

Key Deadlines

Opening date for manuscripts submissions: 01/02/2024 
Closing date for manuscripts submission: 30/09/2024 
Closing date for abstract submission: 30/06/2024 
Email for abstract submissions: [email protected]