Abstract
We explored research dynamics in supply chain management(SCM) based on topic modeling and social network analysis. We used latent Dirichlet allocation for topic models and author co-citation analysis for social network analysis. We queried Web of Science database with ‘supply chain management’ and collected 10,538 research articles between 2002 and 2019. We used R program packages for topic modeling and CiteSpace for social network analysis. First, we explored how SCM research have developed in this period including publication trends, Web of Science categories, top 15 journals and research institutes. Second, we found 14 topics in supply chain management and identified three hot topics(Green SCM, Healthcare SCM, and Sustainable SCM) and three cold topics(Bullwhip Effect, Information Sharing, and Supply Chain Integration). Third, we examined the major researchers in SCM such as Sarkis J, Zhu QH, Gunasekaran A, and Seuring S and visualized the relationship among them with the author network. Fourth, we identified major keywords in SCM to represent the keyword network with the relationship among them. Performance is the most popular keyword. Inventory management and supplier-related words such as supplier development and supply evaluation stand next. Finally, conclusions and potential direction for further research were provided.
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