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The evolution of Industrial Management & Data Systems over the past 25 years: A bibliometric overview

Chao Wang (Research Base of Beijing Modern Manufacturing Development, College of Economics and Management, Beijing University of Technology, Beijing, China) (Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts, USA)
Longfeng Zhao (School of Management, Xi'an Polytechnic University, Xi'an, China) (Center for Polymer Studies and Department of Physics, Boston University, Boston, Massachusetts, USA)
André L.M. Vilela (Universidade de Pernambuco, Escola Politécnica de Pernambuco, Pernambuco, Brazil)
Ming K. Lim (Centre for Business in Society, Coventry University, Coventry, UK) (College of Mechanical Engineering, Chongqing University, Chongqing, China)

Industrial Management & Data Systems

ISSN: 0263-5577

Article publication date: 8 February 2019

Issue publication date: 8 February 2019

840

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.

Keywords

Acknowledgements

Financial support was provided in part by Chinese and Brazilian institutions and funding agents: National Natural Science Foundation of China (61603011, 61773029 and 71772016), Beijing Social Science Foundation (16JDGLC005), International Postdoctoral Exchange Fellowship Program (20170016), UPE (PFA2016, PIAEXT2016), FACEPE (APQ-0565-1.05/14), CAPES, and CNPq. The Boston University Center for Polymer Studies is supported by NSF Grants PHY-1505000, CMMI-1125290 and CHE-1213217, and by DTRA Grant HDTRA1-14-1-0017.

Citation

Wang, C., Zhao, L., Vilela, A.L.M. and Lim, M.K. (2019), "The evolution of Industrial Management & Data Systems over the past 25 years: A bibliometric overview", Industrial Management & Data Systems, Vol. 119 No. 1, pp. 2-34. https://doi.org/10.1108/IMDS-11-2018-0506

Publisher

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Emerald Publishing Limited

Copyright © 2019, Emerald Publishing Limited

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