The impact of AI technology adoption on operational decision-making in competitive heterogeneous ports☆

IF 8.8 1区 工程技术 Q1 ECONOMICS Transportation Research Part E-Logistics and Transportation Review Pub Date : 2024-03-01 Epub Date: 2024-01-29 DOI:10.1016/j.tre.2024.103428
Haonan Xu , Jiaguo Liu , Xiaofeng Xu , Jihong Chen , Xiaohang Yue
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Abstract

Artificial Intelligence (AI) technology is changing the industrial paradigm and has been widely adopted in port operations. Although AI technology can improve the efficiency of port operations and service quality, ports need to bear some costs. Discussing the role of applying AI technology to ports in complex competitive environments has become an important issue in the operations of ports and shipping. In this study, we construct a game-theoretic model of competitive heterogeneous ports. The research conclusions indicate that the adoption of AI technology by heterogeneous ports can enhance port profits. Unfortunately, simultaneous adoption exacerbates homogenized competition, posing a threat to profit realization. Furthermore, while the hub port can leverage AI-empowered capabilities to strengthen own competitiveness, it can undermine the performance of competitors and society at large. Surprisingly, the adoption of AI technology by feeder port is more advantageous in achieving social welfare and achieving multiple benefits such as carbon reduction.

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采用人工智能技术对竞争激烈的异质港口运营决策的影响☆。
人工智能(AI)技术正在改变工业模式,并被广泛应用于港口运营。虽然人工智能技术可以提高港口运营效率和服务质量,但港口也需要承担一定的成本。在复杂的竞争环境中,讨论人工智能技术在港口应用中的作用已成为港口和航运运营中的一个重要问题。在本研究中,我们构建了一个异质竞争港口的博弈论模型。研究结论表明,异质港口采用人工智能技术可以提高港口利润。遗憾的是,同时采用人工智能技术会加剧同质化竞争,对利润实现构成威胁。此外,虽然枢纽港可以利用人工智能赋能来增强自身竞争力,但也会损害竞争对手和整个社会的表现。令人惊讶的是,支线港采用人工智能技术在实现社会福利和碳减排等多重效益方面更具优势。
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来源期刊
CiteScore
16.20
自引率
16.00%
发文量
285
审稿时长
62 days
期刊介绍: Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management. Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.
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