Abstract
Anchored in Dynamic Capabilities Theory, this study examines the effect of Artificial Intelligence (AI) capabilities on the competitive performance of family firms and the moderating role of generational involvement. Using survey data from 120 Tunisian family firms adopting AI between 2021 and 2024 and applying confirmatory factor analysis and structural equation modeling, the findings show that AI capabilities significantly enhance firm performance, while generational involvement has no moderating effect. This challenges the assumption that intergenerational transitions inherently drive innovation and provides novel evidence from Tunisia that performance gains stem primarily from the strategic integration of AI rather than generational dynamics. The results offer actionable insights for policymakers and managers seeking to promote effective AI adoption in family firms and have broader relevance for similar contexts worldwide.
Keywords
AI capabilities, dynamic capabilities theory, competitive performance, generational involvement, Tunisia
Chinese Abstract
人工智能能力、代际参与和竞争绩效：以突尼斯家族企业为例
本研究以动态能力理论为基础，探讨人工智能（AI）能力对家族企业竞争绩效的影响，以及代际参与在其中所扮演的调节角色。研究以120家于2021至2024年间引入人工智能的突尼斯家族企业为样本，运用验证性因子分析与结构方程模型进行分析。研究结果表明，人工智能能力能显著提升企业绩效，而代际参与则未起到调节作用。这发现挑战了代际更替必然推动创新的传统假设，并以突尼斯为例提供了新的证据，表明绩效提升主要源于人工智能的战略性整合，而非代际动态。研究结果为寻求推动家族企业有效采用人工智能的政策制定者和管理者提供了切实可行的参考，并对全球类似情境亦具有广泛的借鉴意义。
人工智能能力、动态能力理论、竞争绩效、代际参与、突尼斯
ORCID Identifiers
Rim Gafsi: https://orcid.org/0000-0001-7603-5646
DOI
10.5038/2640-6489.11.1.1358
Recommended Citation
Gafsi, R. (2026). Artificial intelligence capabilities, generational involvement, and competitive performance: Case of Tunisian family businesses. Journal of Global Business Insights, 11(1), 1-14. https://www.doi.org/10.5038/2640-6489.11.1.1358
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License
