The evolution of Industrial Management and Data Systems over the past 25 years: a bibliometric overview

Wang, C., Zhao, L., Vilela, A.L.M. and Lim, M.K. (2019) The evolution of Industrial Management and Data Systems over the past 25 years: a bibliometric overview. Industrial Management and Data Systems, 119(1), pp. 2-34. (doi: 10.1108/IMDS-11-2018-0506)

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Abstract

Purpose: The purpose of this paper is to examine publication characteristics and dynamic evolution of the Industrial Management & Data Systems (IMDS) over the past 25 years from volume 94, issue 1, in 1994 through volume 118, issue 9, in 2018, using a bibliometric analysis, and identify the leading trends that have affected the journal during this time frame. Design/methodology/approach: A bibliometric approach was used to provide a basic overview of the IMDS, including distribution of publication and citations, articles citing the IMDS, top-cited papers and publication patterns. Then, a complex network analysis was employed to present the most productive, influential and active authors, institutes and countries/regions. In addition, cluster analysis and alluvial diagram were used to analyze author keywords. Findings: This study presents the basic bibliometric results for the IMDS and focuses on exploring its performance over the last 25 years. And it reveals the most productive, influential and active authors, institutes and countries/regions in IMDS. Moreover, this study detects the existence of at least five different keywords clusters and discovers how themes have evolved through the intricate citation relationships in IMDS. Originality/value: The main contribution of this paper is the use of multiple analysis techniques from a complex network paradigm to emphasize the time evolving nature of the co-occurrence networks and to explore the variation of the collaboration networks in the IMDS. For the first time, the evolution of research themes is revealed with a purely data-driven approach.

Item Type:Articles
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Lim, Professor Ming
Authors: Wang, C., Zhao, L., Vilela, A.L.M., and Lim, M.K.
College/School:College of Social Sciences > Adam Smith Business School > Management
Journal Name:Industrial Management and Data Systems
Publisher:Emerald
ISSN:0263-5577

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