N-gram and similarity - based discovery of research methodologies, focuses and trends in supply chain management

Abstract

This work presents an analysis of research methodologies, focuses and trends in supply chain management on the basis of large amounts of data from the Web of Knowledge. Using n-gram and similarity measures, we perform large scale of computing the paper abstracts and author keywords in supply chain management. This work proposes that the two most frequently used research strategies in the research supply chain management are modelling and case study, and this work attempts to provide an overview of changes in trendy ideas or focuses.