Causal Factors Affecting the Role of Artificial Intelligence (AI) in Enhancing the Efficiency of Green Logistics

Abstract

This research aims to: 1) To analyze the impact of technological, human resource, and economic

factors on the adoption of AI in logistics systems. 2) To assess the role of policy and legal factors

and the efficiency of green logistics systems by considering key indicators. to test cause-and-

effect relationships. Data were collected using questionnaires distributed to 360 logistics managers

and officers in organizations that have implemented AI. Structural Equation Modeling (SEM) was

employed for hypothesis testing. The research findings indicate that: 1) Technological factors

positively influence the role of AI in enhancing the efficiency of green logistics. 2) Human

resource factors positively affect the application of AI in green logistics. 3) Policy and legal

factors significantly influence the adoption of AI in sustainable logistics systems. 4) Economic

factors affect the capability to apply AI to improve environmental logistics efficiency. The

findings of this research can serve as a guideline for industrial sector operations and related

agencies. The insights can be applied to businesses with similar characteristics and operating

environments, including strategic planning in the logistics industry, policy and regulation design,

technology and innovation development, sustainable resource management, and support for skills

development and employment to enhance operational efficiency and effectiveness.