A Bibliometric Review of Information Systems Research From 1975-2018: Setting an Agenda for IS Research

A Bibliometric Review of Information Systems Research From 1975-2018: Setting an Agenda for IS Research

Yucheng Zhang, Linjie Ge, Lin Xiao, Meng Zhang, Siqi Liu
Copyright: © 2021 |Pages: 24
DOI: 10.4018/JGIM.287631
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Abstract

Information Systems (IS) scholars attempted to explore the intellectual structure of the IS discipline from previous literature. However, the corpus data, analytical method, and sample size are significantly different among these review studies, which lead to rather mixed results. In this bibliometric review, the authors portray and visualize the panorama of the evolutionary process of IS research with two powerful bibliometric tools, including both CiteSpace and VOSviewer. Specifically, based on a series of bibliometric algorithms (e.g., SCI-Map and referene-NLP), the authors analyze 80,147 primary articles and 1,325,376 secondary articles in the IS domain to examine its 1) intellectual output mode, 2) knowledge bases, and 3) the popular and promising topics in the future from the evolutionary and clustering perspectives. By doing so, the authors provide a comprehensive navigation for the IS studies and set up an agenda for future research.
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Introduction

As an emerging and applied inter-discipline, Information Systems (IS) has engaged great interest of scholars and practitioners since 1975 (Burton Swanson & Ramiller, 1993; Ives, Hamilton, & Davis, 1980; Taylor, Wingen, & Wingen, 2010; Zmud, 2003). Unlike traditional disciplines of business research, the scope and topics of IS research are always changing with the advancement and application of information technologies (Grover & Lyytinen, 2015; N. R. Hassan, Mingers, & Stahl, 2018). Although the diversity and adaptability of the research themes in the IS field have make this discipline practically significant, it might threaten the academic rigor (Avison & Elliot, 2006; Bakshi & Krishna, 2007; Banville, 1989; Córdoba & Paucar-Caceres, 2018; Robey, 2003; Taylor et al., 2010; Zmud, 2003), confuse the future research directions, and hinder the development of IS academic studies. Thus, the exploration of IS discipline has become an increasingly concerned issue (Jeyaraj & Zadeh, 2019b)(Jeyaraj & Zadeh, 2019a)[30] .

Recognized this, researchers have attempted to explore the various aspect of IS disciplines by conducting systematic review, such as the intellectual core of the IS research (Larsen & Levine, 2005; Sidorova, Evangelopoulos, Valacich, & Ramakrishnan, 2008), the collaboration network of IS scholars (Gallivan & Ahuja, 2015; Xu, 2014), knowledge concepts/themes in IS journals (Jeyaraj & Zadeh, 2019a; Lee & Chen, 2012), the maturity of the IS topics (Córdoba & Paucar-Caceres, 2018; Wade, Biehl, & Kim, 2006), the diversity of IS research over time (Bernroider, Pilkington, & Córdoba, 2013; Liu, Li, Goncalves, Kostakos, & Xiao, 2016), and the impacts of journals, authors, and articles (Khan & Trier, 2018; Taylor, Dillon, & Van Wingen, 2008). However, there are two gaps of these review research. First, majority of these review articles only cover a limited number of journals during a particular period for a specific topic. For instance, Khan and Trier (2018) collected 3587 articles published in eight AIS journals between 1995 and 2014 to examine academic performance of IS researchers. Second, based on incomplete data and different techniques, such as classification (Vessey, Ramesh, & Glass, 2002), co-word analysis (Liu et al., 2016), content analysis (Córdoba & Paucar-Caceres, 2018) and social network analysis (Vidgen, Henneberg, & Naudé, 2007), to analyze different data, such as abstracts, keywords, titles, citation frequency, and authors, these reviews provided rather mixed results. In light of these considerations, it is necessary to conduct a systematic and comprehensive literature review to uncover the intellectual structure and the evolutionary process of IS field, identify its promising research topics, and put forward an agenda for future research.

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