Algorithmic Governance for Inclusive Succession: A Socio-Technical Framework for AI Integration in Polygamous Family Firms

Ghandour, R ORCID: 0000-0002-2284-0671, Haj Youssef, M and Jahangir, W Algorithmic Governance for Inclusive Succession: A Socio-Technical Framework for AI Integration in Polygamous Family Firms. In: Conference Proceedings of the British Academy of Management . (British Academy of Management, 07th Sep 11thSep 2026, Royal Holloway University of London). (Accepted)

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Abstract

This paper investigates the transformative role of Artificial Intelligence (AI) in succession planning within family businesses, focusing on the unique governance complexities of polygamous family structures. While digital transformation offers significant potential for operational optimization, its integration into multi-branch kinship ecosystems remains undertheorized. Grounded in a triangulation of Socioemotional Wealth (SEW), the Technology Acceptance Model (TAM), and Agency Theory, this study proposes a novel socio-technical framework that positions AI as an agent of inclusion and fairness in decision-making. Drawing on interdisciplinary literature, the paper analyses how AI-driven decision-support systems can act as a neutral arbiter, mitigating "principal-principal" conflicts between competing maternal branches through data-driven, performance-based evaluations. However, the study identifies critical adoption barriers, specifically the tension between algorithmic rationality and the preservation of socioemotional assets. We argue that successful integration is contingent upon reaching a "Socio-Technical Equilibrium," where the Information System functions as a "Digital Steward" that enhances, rather than replaces, traditional family wisdom. By shifting the locus of authority toward an augmented meritocracy, this research offers a strategic roadmap for achieving equitable and sustainable leadership transitions. The paper concludes with four research propositions, providing a foundation for future empirical inquiry into the social implications of algorithmic governance and the role of information systems in fostering inclusive organizational environments.

Item Type:	Conference or Workshop Item (Paper)
Subjects:	H Social Sciences > HF Commerce > HF5001 Business Q Science > QA Mathematics > QA76 Computer software
Divisions:	Liverpool Business School
Date of acceptance:	5 May 2026
Date of first compliant Open Access:	21 September 2026
Date Deposited:	21 Sep 2026 08:52
Last Modified:	21 Sep 2026 08:52
URI:	https://researchonline.ljmu.ac.uk/id/eprint/29441

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