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

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.

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Publication Details

Journal
International Journal of Business Continuity and Risk Management
Published
2025-01-01
DOI
https://doi.org/10.1504/ijbcrm.2025.144943
Primary Topic
Urban and Freight Transport Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

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

Pingping Tang, Kun Liao, Ozden Bayazit
International Journal of Business Continuity and Risk Management
Urban and Freight Transport Logistics
article

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

Pingping Tang, Kun Liao, Ozden Bayazit
article en

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.

International Journal of Business Continuity and Risk ManagementVol. 15(1)
Central Washington University (US), Washington State University (US)
Decent work and economic growth
Openalex Percentile: Top 96%
Urban and Freight Transport Logistics
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