Xueqi Qian , Lixin Shen , Yanan Wang , Jinglin Lin , Zhihong Jin , Ying-En Ge , Sandra Samy George Haddad
{"title":"Stability analysis of maritime logistics alliance based on blockchain","authors":"Xueqi Qian , Lixin Shen , Yanan Wang , Jinglin Lin , Zhihong Jin , Ying-En Ge , Sandra Samy George Haddad","doi":"10.1016/j.tranpol.2024.12.025","DOIUrl":null,"url":null,"abstract":"<div><div>Maritime logistics is essential to international trade, and maritime logistics alliances significantly enhance the efficiency, service quality, and competitiveness of maritime logistics through the complementary advantages and risk sharing among member enterprises. Blockchain can better solve the problems of information asymmetry and lack of trust in logistics alliances because of its decentralization and other characteristics. However, enhancing the rationality of benefit distribution of maritime logistics alliances based on blockchain is still a key issue to be addressed. In this paper, we first construct an evolutionary game model base on blockchain to analyze alliance stability among members. Through numerical simulation, we identify that the reasonable benefit distribution is the most significant influencing factor for alliance stability. Then, using the modified Shapley value method, we establish the benefit distribution model of alliance based on blockchain. Finally, based on blockchain, we design, deploy, and call a smart contract for the benefit distribution of maritime logistics alliances, which is intelligent and can be used for alliance benefit distribution.</div></div>","PeriodicalId":48378,"journal":{"name":"Transport Policy","volume":"163 ","pages":"Pages 219-231"},"PeriodicalIF":6.3000,"publicationDate":"2024-12-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transport Policy","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0967070X24003998","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
Maritime logistics is essential to international trade, and maritime logistics alliances significantly enhance the efficiency, service quality, and competitiveness of maritime logistics through the complementary advantages and risk sharing among member enterprises. Blockchain can better solve the problems of information asymmetry and lack of trust in logistics alliances because of its decentralization and other characteristics. However, enhancing the rationality of benefit distribution of maritime logistics alliances based on blockchain is still a key issue to be addressed. In this paper, we first construct an evolutionary game model base on blockchain to analyze alliance stability among members. Through numerical simulation, we identify that the reasonable benefit distribution is the most significant influencing factor for alliance stability. Then, using the modified Shapley value method, we establish the benefit distribution model of alliance based on blockchain. Finally, based on blockchain, we design, deploy, and call a smart contract for the benefit distribution of maritime logistics alliances, which is intelligent and can be used for alliance benefit distribution.
期刊介绍:
Transport Policy is an international journal aimed at bridging the gap between theory and practice in transport. Its subject areas reflect the concerns of policymakers in government, industry, voluntary organisations and the public at large, providing independent, original and rigorous analysis to understand how policy decisions have been taken, monitor their effects, and suggest how they may be improved. The journal treats the transport sector comprehensively, and in the context of other sectors including energy, housing, industry and planning. All modes are covered: land, sea and air; road and rail; public and private; motorised and non-motorised; passenger and freight.