揭示供应链关系类型对企业绩效的影响

IF 4.4 4区计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

Enterprise Information Systems Pub Date : 2023-11-14 DOI:10.1080/17517575.2023.2274141

Ling Li

{"title":"揭示供应链关系类型对企业绩效的影响","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":"117 6","pages":"0"},"PeriodicalIF":4.4000,"publicationDate":"2023-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":\"117 6\",\"pages\":\"0\"},\"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}","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

摘要

摘要在过去的二十年中，供应链伙伴关系管理和双灵巧战略取得了显著的进展。然而，对影响伙伴关系建立和发展的因素仍然缺乏了解。本研究提出了一个理论驱动的模型，该模型整合了二元性概念，对供应链合作伙伴关系进行分类，评估其对企业绩效的影响。该研究在三个关键方面做出了贡献:首先，它解释了外部因素如何影响企业的供应链探索和开发。其次，它描述了供应链合作伙伴关系的发展，建议进行双向调整。第三，研究了合伙人类型与公司绩效之间的联系。此外，企业信息系统在实施供应链网络中的协同规划、预测和补充方面发挥着关键作用。关键词:供应链合作伙伴关系，双元性聚类分析，供应链绩效披露声明，作者未报告潜在的利益冲突。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Unveiling the effects of supply chain relationship types on enterprise performance

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).

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Enterprise Information Systems 工程技术-计算机：信息系统

CiteScore

11.00

自引率

6.80%

发文量

审稿时长

6 months

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.