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

IF 5.4 2区医学 Q2 MATERIALS SCIENCE, BIOMATERIALS

ACS Biomaterials Science & Engineering Pub 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。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

ACS Biomaterials Science & Engineering Materials Science-Biomaterials

CiteScore

10.30

自引率

3.40%

发文量

413

期刊介绍： ACS Biomaterials Science & Engineering is the leading journal in the field of biomaterials, serving as an international forum for publishing cutting-edge research and innovative ideas on a broad range of topics: Applications and Health – implantable tissues and devices, prosthesis, health risks, toxicology Bio-interactions and Bio-compatibility – material-biology interactions, chemical/morphological/structural communication, mechanobiology, signaling and biological responses, immuno-engineering, calcification, coatings, corrosion and degradation of biomaterials and devices, biophysical regulation of cell functions Characterization, Synthesis, and Modification – new biomaterials, bioinspired and biomimetic approaches to biomaterials, exploiting structural hierarchy and architectural control, combinatorial strategies for biomaterials discovery, genetic biomaterials design, synthetic biology, new composite systems, bionics, polymer synthesis Controlled Release and Delivery Systems – biomaterial-based drug and gene delivery, bio-responsive delivery of regulatory molecules, pharmaceutical engineering Healthcare Advances – clinical translation, regulatory issues, patient safety, emerging trends Imaging and Diagnostics – imaging agents and probes, theranostics, biosensors, monitoring Manufacturing and Technology – 3D printing, inks, organ-on-a-chip, bioreactor/perfusion systems, microdevices, BioMEMS, optics and electronics interfaces with biomaterials, systems integration Modeling and Informatics Tools – scaling methods to guide biomaterial design, predictive algorithms for structure-function, biomechanics, integrating bioinformatics with biomaterials discovery, metabolomics in the context of biomaterials Tissue Engineering and Regenerative Medicine – basic and applied studies, cell therapies, scaffolds, vascularization, bioartificial organs, transplantation and functionality, cellular agriculture