{"title":"The Evaluation of Logistics Enterprise Performance Index Based on TOPSIS-Grey Relational Analysis","authors":"Yuxian Zhou, Yasir Muhammad","doi":"10.4018/jgim.332856","DOIUrl":null,"url":null,"abstract":"Performance assessment is a pivotal facet within the operational framework of logistics enterprises, functioning as a mechanism to gauge business outcomes and growth potential. For this study, the authors developed a performance evaluation system for logistics enterprises under the paradigm of sustainable development to reveal the fissures and quandaries within the operational milieu by scrutinizing the current state of logistics enterprises. Drawing on pertinent references and empirical inquiries, they employed the entropy weight method to allocate weights to the performance evaluation metrics of logistics enterprises and TOPSIS–grey relational analysis method to comprehensively assess the performance of such enterprises. Empirical findings show that during the period of 2016–2018, a majority of the sampled logistics enterprises demonstrated an ascending trajectory in their comprehensive proximity, and a minority exhibited fluctuating and descending trends. These findings suggest the favorable trajectory of the evolution of logistics enterprises.","PeriodicalId":46306,"journal":{"name":"Journal of Global Information Management","volume":"50 1","pages":"0"},"PeriodicalIF":4.5000,"publicationDate":"2023-10-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Global Information Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/jgim.332856","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
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Abstract
Performance assessment is a pivotal facet within the operational framework of logistics enterprises, functioning as a mechanism to gauge business outcomes and growth potential. For this study, the authors developed a performance evaluation system for logistics enterprises under the paradigm of sustainable development to reveal the fissures and quandaries within the operational milieu by scrutinizing the current state of logistics enterprises. Drawing on pertinent references and empirical inquiries, they employed the entropy weight method to allocate weights to the performance evaluation metrics of logistics enterprises and TOPSIS–grey relational analysis method to comprehensively assess the performance of such enterprises. Empirical findings show that during the period of 2016–2018, a majority of the sampled logistics enterprises demonstrated an ascending trajectory in their comprehensive proximity, and a minority exhibited fluctuating and descending trends. These findings suggest the favorable trajectory of the evolution of logistics enterprises.
期刊介绍：
Authors are encouraged to submit manuscripts that are consistent to the following submission themes: (a) Cross-National Studies. These need not be cross-culture per se. These studies lead to understanding of IT as it leaves one nation and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one nation transfer. (b) Cross-Cultural Studies. These need not be cross-nation. Cultures could be across regions that share a similar culture. They can also be within nations. These studies lead to understanding of IT as it leaves one culture and is built/bought/used in another. Generally, these studies bring to light transferability issues and they challenge if practices in one culture transfer.
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