Family Business 4.0: Reimagining Family Businesses in the Age of Artificial Intelligence

Call for Papers

Family Business 4.0: Reimagining Family Businesses in the Age of Artificial Intelligence

Journal: Technological Forecasting and Social Change
Publisher: Elsevier
Submission Window: 1 September 2026 – 28 February 2027

Introduction
AI transforms family businesses (FBs)—economic powerhouses—yet FBs adopt AI slower due to family control, risk aversion, and socioemotional wealth (SEW) priorities. This Special Issue explores AI adoption drivers/barriers, applications (succession, CRM, innovation), governance tensions, next-generation roles, and future-of-work implications reconciling legacy preservation with technological innovation.

Guest Editors
Elias Hadjielias (elias.hadjielias@cut.ac.cy)
Andrea Calabro (andrea.calabro2@sdabocconi.it)
Mohamed Ouiakoub (mohamed.ouiakoub@univ-lorraine.fr)
Christina Theodoraki (christina.theodoraki@iae-aix.com)

List of Topic Areas
Submissions invited addressing:

• Drivers/barriers to AI adoption influenced by family characteristics/SEW

• Reconciling innovation-legacy paradoxes through AI

• Next-generation ("Gen AI") roles in AI implementation/training

• AI's impact on family governance, decision-making, professionalization

• AI applications enhancing performance, continuity, sustainability

• Ethical issues, stakeholder trust in AI-integrated FBs

• Human-AI collaboration reshaping future of work in FBs

• AI as research tool (NLP, ML) for family business studies

Guest Editors Contact Details

Submission Process & Deadlines
Submit via Editorial Manager at https://www.editorialmanager.com/tfs/default.aspx, selecting "VSI: Family Business 4.0".
Double-blind review; quantitative, qualitative, conceptual, case studies, reviews welcome.

Submission Guidelines
Guide for Authors: https://www.sciencedirect.com/journal/technological-forecasting-and-social-change/publish/guide-for-authors

About the Journal
Technological Forecasting and Social Change (Impact Factor 13.3, CiteScore 26.3) leads research on technology adoption, innovation, and societal impacts.

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