Ana Beatriz Lopes de Sousa Jabbour , Issam Laguir , Rebecca Stekelorum , Shivam Gupta
{"title":"人工智能与可持续发展绩效的关系：揭示供应链透明度和客户压力对道德行为的影响","authors":"Ana Beatriz Lopes de Sousa Jabbour , Issam Laguir , Rebecca Stekelorum , Shivam Gupta","doi":"10.1016/j.jenvman.2025.124847","DOIUrl":null,"url":null,"abstract":"<div><div>Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.</div></div>","PeriodicalId":356,"journal":{"name":"Journal of Environmental Management","volume":"379 ","pages":"Article 124847"},"PeriodicalIF":8.4000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The nexus of artificial intelligence and sustainability performance: Unveiling the impact of supply chain transparency and customer pressure on ethical conduct\",\"authors\":\"Ana Beatriz Lopes de Sousa Jabbour , Issam Laguir , Rebecca Stekelorum , Shivam Gupta\",\"doi\":\"10.1016/j.jenvman.2025.124847\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.</div></div>\",\"PeriodicalId\":356,\"journal\":{\"name\":\"Journal of Environmental Management\",\"volume\":\"379 \",\"pages\":\"Article 124847\"},\"PeriodicalIF\":8.4000,\"publicationDate\":\"2025-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Environmental Management\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0301479725008230\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/6 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Environmental Management","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0301479725008230","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/6 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
The nexus of artificial intelligence and sustainability performance: Unveiling the impact of supply chain transparency and customer pressure on ethical conduct
Drawing on the Resource-Based View (RBV) and Stakeholder Theory, this study tests construct relationships that bring about means of improving corporate sustainability performance (CSP) via artificial intelligence (AI) technology and accountable socio-environmental practices related to supply chain transparency (SCTrans). It also considers customer pressure for ethical conduct (CPEC). This research hinges on data from 204 French manufacturing firms, which were analyzed using hierarchical regression analysis. It shows that AI is a relevant technology to the RBV, because AI is able to act as a source of competitive advantage by improving both SCTrans and CSP. This research also shows that CPEC is an important contextual factor strengthening linkages between AI, SCTrans and CSP. Some unexpected results of the statistical analyses were also found and discussed. This work offers specific insights on the relationships among AI, SCTrans, CSP, and CPEC that guide the pursuit of more sustainable and transparent supply chains.
期刊介绍：
The Journal of Environmental Management is a journal for the publication of peer reviewed, original research for all aspects of management and the managed use of the environment, both natural and man-made.Critical review articles are also welcome; submission of these is strongly encouraged.
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