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저자동시인용분석에 의한 Business Analytics 분야의 지적 구조 분석: 2002 ~ 2020
임혜정 ( Lim Hyae Jung ),서창교 ( Suh Chang Kyo ) 한국정보시스템학회 2021 情報시스템硏究 Vol.30 No.1
Purpose The opportunities and approaches to big data have grown in various ways in the digital era. Business analytics is nowadays an inevitable strategy for organizations to earn a competitive advantage in order to survive in the challenged environments. The purpose of this study is to analyze the intellectual structure of business analytics literature to have a better insight for the organizations to the field. Design/methodology/approach This research analyzed with the data extracted from the database Web of Science. Total of 427 documents and 23,760 references are inserted into the analysis program CiteSpace. Author co-citation analysis is used to analyze the intellectual structure of the business analytics. We performed clustering analysis, burst detection and timeline analysis with the data. Findings We identified seven sub- areas of business analytics field. The top four sub-areas are “Big Data Analytics Infrastructure”, “Performance Management System”, “Interactive Exploration”, and “Supply Chain Management”. We also identified the top 5 references with the strongest citation bursts including Trkman et al.(2010) and Davenport(2006). Through timeline analysis we interpret the clusters that are expected to be the trend subjects in the future. Lastly, limitation and further research suggestion are discussed as concluding remarks.
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저자동시인용분석을 이용한 『한국SCM학회지: 2001∼2015』의 지적구조 탐색
임혜정(Hyae-jung Lim),김미애(Mi-Ae Kim),서창교(Chang-Kyo Suh) 한국SCM학회 2015 한국SCM학회지 Vol.15 No.2
This study is intended to introduce author co-citation analysis to identify the intellectual structure of the‘ Journal of the Korean Society of Supply Chain Management’. Author co-citation analysis is an analytical method to examine the intellectual structure of specific research areas through the relationship between two similar authors. The author co-citation analysis is frequently used to produce empirical maps of prominent authors and identify the knowledge structure of a research field. In this research, we collected 341 academic papers of ‘Journal of the Korean Society of Supply Chain Management’from 2001 to 2015. Among 6,557 references of these papers, we analyzed 1,408 references that were published by domestic authors. We produced a correlation matrix of 36 authors’co-citation matrix and conducted multi-variate analysis using clustering analysis and multi-dimensional scaling. We found five main sub-areas of supply chain management: (1) global SCM and logistics for manufacturing, (2) logistics, transportation, and environment, (3) SCM integration, (4) SCM success factors, partnership, SCM implementation, and SCM performance, and (5) SCM components and cooperation. The limitation of the paper and suggestion for further research are also discussed.
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