AI in Defence Logistic: Optimizing Supply Chains and Resources Management

Abstract

Abstract- Alongside the growing instability within Europe's security landscape, militaries begin to seek innovative ways to counter newly emerging threats. Whereas growth in logistics is relatively unexplored in the literature, this paper delves into how AI may enable military forces to develop, conduct, and grow their logistics capabilities in ways that help achieve operational objectives. This research will be based on the extant literature, whose body focuses on three relevant theories of growth explaining organizational expansion. The study argues the relationships among logistics, AI, growth theories, and industry growth practices in supporting the military logistics growth development where support from both the established growth theories and the long-standing industrial practices are needed. In this respect, the study positions AI as a crucial enhancer in developing an optimal strategic-fit growth concept. The paper identifies nine propositions that underscore the relationship between theoretical variables of growth enhanced by AI, providing a framework through which to guide future research on military logistics growth. The methodology employed in this study involves a comprehensive literature review synthesizing existing theories of organizational growth with practical industrial practices and exploring their intersection with AI- enhanced logistics in military contexts. This study proposes AI-driven strategies for military leaders to enhance logistics growth, contributing to military innovation and expansion by evaluating and implementing logistics growth. It further bridges the gap in the literature on an area relatively unexplored by AIenabled logistic growth in the military context, providing a strategic pathway for an innovation and expansion in military logistics.