ANALYSIS OF THE INNOVATION OF ARTIFICIAL INTELLIGENCE DELIVERY TECHNOLOGY CONSIDERING THE ROLE OF USERS

Abstract

Artificial intelligence (AI) advancements within logistics receive significant academic attention; however, existing research often overlooks innovation decision regarding delivery technology, particularly the mechanism of user influence. An evolutionary game model incorporating logistics enterprises, R&D institutions, and consumers was established from the perspective of users in this study. The model analyzed the strategic choices of these three actors in AI delivery innovation and examines the factors governing their decisions. Furthermore, simulation analysis verified the evolutionary equilibrium and stability of these strategies. Results revealed that: (1) Enhancing collaborative value-added effect amplifies tripartite benefits, thereby accelerating the transition to an optimal equilibrium of “introduction, technological innovation, active participation”. (2) Reducing implementation costs encourages logistics enterprises to adopt new AI technologies proactively. (3) Effective cost control further sustains the commitment of R&D institutions to achieving technological breakthroughs. (4) Increased benefits for consumers significantly bolster participation, which subsequently incentivizes enterprises and R&D institutions to pursue active innovation strategies. This study offers a new research perspective for AI delivery innovation and provides a feasible management framework for logistics stakeholders, fostering sustainable industry development.