20.500.12556/DKUM-96697 Tripartite evolutionary game analysis of the adoption of AI delivery technology The decision of logistics enterprises to adopt AI delivery technology is influenced by multiple stakeholders, a fact that is largely ignored in existing research. A tripartite evolutionary game model incorporating the government, logistics enterprises, and consumers was established in this study. It analyzed the strategies adopted by the three actors in promoting AI delivery technology and examined the factors influencing their choices. Furthermore, the evolutionary equilibrium and stability of these strategies were explored and verified through simulation analysis. Results reveal several key insights: (1) Technology promotion is a collaborative process driven by multiple stakeholders. Government subsidies, enterprise costs and benefits, and consumer utility are the crucial variables determining system stability. (2) Government incentives not only reduce enterprises’ adoption costs but also increase consumer willingness to adopt through subsidies and publicity. These measures accelerate the system’s evolution toward the ideal stable state of “introduction, incentive, AI delivery”. (3) Enterprises’ investment decisions are highly sensitive to input costs and economic benefits. The threshold for technology adoption decreases when significant economic benefits are present or costs decline. (4) Consumers’ perceived utility and learning costs directly affect their usage intentions and subsequently influence the strategic choices of the government and enterprises through demand feedback. This study provides a novel perspective on the promotion of AI delivery and offers practical management insights for policy-making and user analysis in logistics enterprises. artificial intelligence AI delivery logistics delivery services technology adoption tripartite evolutionary game mode government incentives logistics enterprise decision-making consumer behaviour umetna inteligenca državne spodbude vedenje potrošnikov true false true Chair of Production Engineering (CPE), University of Maribor Faculty of Mechanical Engineering Angleški jezik Slovenski jezik https://apem-journal.org/ Članek v reviji 2026-01-23 13:44:47 2026-01-23 13:44:47 2026-01-24 03:11:35 0000-00-00 00:00:00 2025 0 0 str. 475-490 no. 4 Vol. 20 Dec. 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-09-10 2025-12-13 2025-12-31 658.562 265931523 10.14743/apem2025.4.553 1854-6250 APEM20-4_475-490.pdf APEM20-4_475-490.pdf 1 AE2E8408F7ED106E4949271A951A062F d5dada7e3353e05d8b8c059d84d9c56d332a9774d9ac3fa11eed4ccd409788a7 7ea89cb1-f859-11f0-8c23-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202500 https://apem-journal.org/Archives/2025/Abstract-APEM20-4_475-490.html 0 84252f76-f859-11f0-8c23-00155d00018d https://dk.um.si/Dokument.php?lang=slv&id=202501 Fakulteta za strojništvo Advances in production engineering & management 0 0 0