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Trends and topics in IJENM from 2006 to 2020: a statistical history using topic modelling

Trends and topics in IJENM from 2006 to 2020: a statistical history using topic modelling The International Journal of Enterprise Network Management (IJENM) has been disseminating innovative research in understanding the complexity of a supply chain in an enterprise-wide scope in various industries using frameworks, adapted theories and configurable models since 2006. In this paper, we study the history of IJENM by analysing the articles published in the journal using text mining and topic modelling to bring out the evolution of topics and focus areas. We used text mining to identify the most frequently occurring terms in the title, keywords and abstract of IJENM papers and constructed co-occurrence network to analyse the interrelationship between focus areas. We then used topic modelling techniques to perform an unsupervised review and analysed the temporal trends of top ten topics in the journal. Our results showed that the focus area of IJENM started with traditional issues related to supply chain, and in the recent years has also started to cover trending topics like analytics, technology and internet of things. Our results indicate the evolving interests of the journal and its readers over the last 15 years and could benefit different stakeholders in the academic community to identify promising topics and realign the focus for journal development. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Enterprise Network Management Inderscience Publishers

Trends and topics in IJENM from 2006 to 2020: a statistical history using topic modelling

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd
ISSN
1748-1252
eISSN
1748-1260
DOI
10.1504/ijenm.2022.124800
Publisher site
See Article on Publisher Site

Abstract

The International Journal of Enterprise Network Management (IJENM) has been disseminating innovative research in understanding the complexity of a supply chain in an enterprise-wide scope in various industries using frameworks, adapted theories and configurable models since 2006. In this paper, we study the history of IJENM by analysing the articles published in the journal using text mining and topic modelling to bring out the evolution of topics and focus areas. We used text mining to identify the most frequently occurring terms in the title, keywords and abstract of IJENM papers and constructed co-occurrence network to analyse the interrelationship between focus areas. We then used topic modelling techniques to perform an unsupervised review and analysed the temporal trends of top ten topics in the journal. Our results showed that the focus area of IJENM started with traditional issues related to supply chain, and in the recent years has also started to cover trending topics like analytics, technology and internet of things. Our results indicate the evolving interests of the journal and its readers over the last 15 years and could benefit different stakeholders in the academic community to identify promising topics and realign the focus for journal development.

Journal

International Journal of Enterprise Network ManagementInderscience Publishers

Published: Jan 1, 2022

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