{"title":"Unveiling the effects of supply chain relationship types on enterprise performance","authors":"Ling Li","doi":"10.1080/17517575.2023.2274141","DOIUrl":null,"url":null,"abstract":"ABSTRACTOver the past two decades, supply chain partnership management and ambidexterity strategies have advanced significantly. However, there remains a lack of understanding regarding the factors influencing partnership creation and development. This study presents a theory-driven model that integrates ambidexterity concepts to categorize supply chain partner relationships, evaluating their impact on firm performance. The research contributes in three key ways: firstly, it explains how external factors shape a firm's supply chain exploration and exploitation. Secondly, it profiles supply chain partnerships as they evolve, recommending ambidexterity adjustments. Thirdly, it examines the link between partner types and firm performance. Additionally, enterprise information systems play a pivotal role in implementing collaborative planning, forecasting, and replenishment in supply chain networks.KEYWORDS: Supply chain partner relationshipambidexteritycluster analysissupply chain performance Disclosure statementNo potential conflict of interest was reported by the author(s).","PeriodicalId":11750,"journal":{"name":"Enterprise Information Systems","volume":null,"pages":null},"PeriodicalIF":4.4000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Enterprise Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/17517575.2023.2274141","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
ABSTRACTOver the past two decades, supply chain partnership management and ambidexterity strategies have advanced significantly. However, there remains a lack of understanding regarding the factors influencing partnership creation and development. This study presents a theory-driven model that integrates ambidexterity concepts to categorize supply chain partner relationships, evaluating their impact on firm performance. The research contributes in three key ways: firstly, it explains how external factors shape a firm's supply chain exploration and exploitation. Secondly, it profiles supply chain partnerships as they evolve, recommending ambidexterity adjustments. Thirdly, it examines the link between partner types and firm performance. Additionally, enterprise information systems play a pivotal role in implementing collaborative planning, forecasting, and replenishment in supply chain networks.KEYWORDS: Supply chain partner relationshipambidexteritycluster analysissupply chain performance Disclosure statementNo potential conflict of interest was reported by the author(s).
期刊介绍：
Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
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