en زنجیره تامین و لجستیک Logistic & Apply Chain پژوهشي Research <div style="text-align: justify;"><span style="font-size:11pt"><span new="" roman="" style="font-family:" times=""><i><span style="font-size:12.0pt">This study investigates regulatory gaps impeding artificial intelligence (AI) integration in public sector logistics, revealing how fragmented legislative frameworks hinder operational efficiency and innovation. Through a quantitative cross-sectional survey of 182 legal professionals, public employees, and AI/legal scholars using stratified purposive sampling and validated instruments (Cronbach&rsquo;s &alpha;=0.985) we identified statistically significant stakeholder divergences (*p*<0.05) via &chi;&sup2; tests and Cramer&rsquo;s V effect sizes. Key findings demonstrate that: (1) legal experts prioritize regulatory clarity deficits (M=4.62), while public staff emphasize institutional resistance (M=4.41); (2) human capital training is systematically undervalued (M=2.57, V=0.26) despite its theoretical importance; and (3) while regulation enhances operational efficiency (M=4.36), it paradoxically inhibits logistical innovation (M=2.48), exposing a critical innovation-governance disconnect. The study&rsquo;s core contribution, a Dynamic Institutional Alignment Framework, resolves this tension through three pillars: human-centered regulatory design integrating legal-technical dimensions, adaptive policy sandboxes synchronized with AI advancement cycles, and stakeholder-specific implementation pathways. By embedding institutional adaptability within global compliance standards (EU AI Act, OECD Principles), this framework advances AI governance theory and offers public institutions actionable strategies for balancing technological advancement with accountability.</span></i></span></span></div> Logistics,Law,Institutions,Technology,Artificial Intelligence 81 92 http://ijiepr.iust.ac.ir/browse.php?a_code=A-10-3396-1&slc_lang=en&sid=1 Mohamed Hadi Al Najdawi m.najdawi@cu.ac.ae 1800319475328460014071 1800319475328460014071 Yes Mohamed Hadi Al Najdawi Associate Professor, College of Humanities, City University Ajman, Ajman, UAE Zainab Al Ghurabli z.ghurabli@cu.ac.ae 1800319475328460014072 1800319475328460014072 No Assistant Professor, College of Business, City University Ajman, Ajman, UAE Raghda Raafat r.raafat@cu.ac.ae 1800319475328460014073 1800319475328460014073 No Associate Professor, College of Law, City University Ajman, Ajman, UAE Ahmad Aburayya a.aburrayya@cu.ac.aa 1800319475328460014074 1800319475328460014074 No Assistant Professor, College of Business, City University Ajman, Ajman, UAE