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

DOI

10.2991/icemaess-15.2016.162How to use a DOI?

Keywords

N-gram; Similarity; Research methodologies; Trends; 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.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - SHesen Guo
AU  - GanZhou Zhang
AU  - Yufei Guo
PY  - 2015/12
DA  - 2015/12
TI  - N-gram and similarity – based discovery of research methodologies, focuses and trends in supply chain management
BT  - Proceedings of the 2015 3rd International Conference on Education, Management, Arts, Economics and Social Science
PB  - Atlantis Press
SP  - 768
EP  - 773
SN  - 2352-5398
UR  - https://doi.org/10.2991/icemaess-15.2016.162
DO  - 10.2991/icemaess-15.2016.162
ID  - Guo2015/12
ER  -