Title: Artificial intelligence in trucking industry: a triple-win environmental, social and governance approach

Authors: Kun Liao; Ozden Bayazit; Pingping Tang

Addresses: Department of Finance and Supply Chain Management, College of Business, Central Washington University, Lynnwood, WA, 98036, USA ' Department of Finance and Supply Chain Management, College of Business, Central Washington University, Lynnwood, WA, 98036, USA ' Department of Finance and Management Science, Carson College of Business, Washington State University, Pullman, WA, 99164, USA

Abstract: This study examines a triple-win approach introduced by an artificial intelligence (AI) technology service company in Shenzhen, China, that is analysed through the environmental, social and governance (ESG theory) factors. This approach is promising because it may improve the operational efficiency as well as the financial performance of the insurance company and the trucking logistics company. More importantly, technology and service can vastly decrease the accident rate of logistics companies, resulting in positive social impacts. Hence, this study proposes a framework for adopting AI in logistics and classifies success factors of AI projects into three categories based on findings from the innovative Chinese startup and other previously implemented AI projects: viable technology, profitability, and positive social impact.

Keywords: artificial intelligence; autonomous driving; social responsibility; insurance; trucking industry; success factors.

DOI: 10.1504/IJBCRM.2025.144943

International Journal of Business Continuity and Risk Management, 2025 Vol.15 No.1, pp.32 - 45

Received: 03 Jun 2024
Accepted: 09 Jul 2024
Published online: 13 Mar 2025 *

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