Year: 2018
Type: article
Abstract: In the last two decades, researchers have increasingly conducted meta-analyses in the information systems (IS) field. As such, we need to ensure that researchers conduct such analyses in a sound and accurate way, use appropriate and effective meta-analytic techniques, and produce reliable and valid results. Nevertheless, few papers on conducting a meta-analysis in the IS field exist. In this paper, we review and re-interpret the procedures, issues, and techniques in conducting a meta-analysis in the IS field. By doing so, we make important contributions to helping IS researchers expand their baseline knowledge of meta-analyses and, thus, more effectively design and conduct them in the future.
Authors: Jiming Wu, Hongwei Du, Peng Xie
Language: English
Subfield: Statistics, Probability and Uncertainty
Field: Decision Sciences
Domain: Social Sciences
Open Access status: green
Funders: Clemson University, University of Southern Mississippi, Utah State University, Northern Illinois University, Syracuse University, University of Nevada, Las Vegas, Drexel University, Georgia State University, Copenhagen Business School, Deakin University, Curtin University of Technology, Aalto-Yliopisto, Aalborg Universitet, University of Hong Kong, Centre National de la Recherche Scientifique, Hong Kong University of Science and Technology, United Arab Emirates University
OpenAlex ID: W2940891523