{"title":"Supply Chain Integration: A Review and Bibliometric Analysis","authors":"A. Asgari, Abubakar Hamid, Nader Ale Ebrahim","doi":"10.4172/2162-6359.1000447","DOIUrl":null,"url":null,"abstract":"Supply chain integration has been widely identified as a key research topic by both practitioners and academicians. In such environment, it is essential to vividly illustrate the publications contribution during the period of time and recognize research area and interests as well as the direction of research trend for future studies. With the availability of bibliometric data and variety of analytical tools for evaluation purposes, disregarding bibliometric analysis would be a missed opportunity for this area. Therefore, the current research attempts to deliver a comprehensive comparison thorough using rigorous bibliometric tools that provides a better understanding not previously fully grasped or evaluated by prior studies in the area of supply chain integration. The objective of this research is to recognize the global scientific production; the most productive authors, journals, articles and countries as well as to extract the most influential articles. The analysis begins by identifying over 500 published studies during the period of 1980 to 24th February 2016, which are then purified to works of proven influence and those authored by influential investigators. Web of Science Core Collection (formerly known as ISI), category of management was utilized to identify the relevant articles. Gaps are also discussed in knowledge about literature and bibliometrics analysis. The findings provide wisdom and a vigorous roadmap for further investigation in this field.","PeriodicalId":384078,"journal":{"name":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","volume":"379 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Data Collection & Data Estimation Methodology (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4172/2162-6359.1000447","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12
Abstract
Supply chain integration has been widely identified as a key research topic by both practitioners and academicians. In such environment, it is essential to vividly illustrate the publications contribution during the period of time and recognize research area and interests as well as the direction of research trend for future studies. With the availability of bibliometric data and variety of analytical tools for evaluation purposes, disregarding bibliometric analysis would be a missed opportunity for this area. Therefore, the current research attempts to deliver a comprehensive comparison thorough using rigorous bibliometric tools that provides a better understanding not previously fully grasped or evaluated by prior studies in the area of supply chain integration. The objective of this research is to recognize the global scientific production; the most productive authors, journals, articles and countries as well as to extract the most influential articles. The analysis begins by identifying over 500 published studies during the period of 1980 to 24th February 2016, which are then purified to works of proven influence and those authored by influential investigators. Web of Science Core Collection (formerly known as ISI), category of management was utilized to identify the relevant articles. Gaps are also discussed in knowledge about literature and bibliometrics analysis. The findings provide wisdom and a vigorous roadmap for further investigation in this field.
供应链整合已被业界和学术界广泛认为是一个重要的研究课题。在这样的环境下,生动地说明这一时期的出版物贡献,认识到研究领域和兴趣,以及未来研究的研究趋势方向是非常必要的。随着文献计量学数据的可用性和用于评价目的的各种分析工具的出现,忽视文献计量学分析将会错过这个领域的机会。因此,目前的研究试图提供一个全面的比较,通过使用严格的文献计量工具,提供一个更好的理解以前没有完全掌握或评估在供应链整合领域的先前研究。本研究的目的是认识全球科学生产;最具生产力的作者、期刊、文章和国家以及提取最具影响力的文章。分析首先确定了1980年至2016年2月24日期间发表的500多项研究,然后将其净化为具有影响力的作品以及由有影响力的研究人员撰写的作品。Web of Science Core Collection(以前称为ISI),分类管理被用来识别相关文章。空白也讨论了关于文献和文献计量学分析的知识。这些发现为这一领域的进一步研究提供了智慧和有力的路线图。