A comprehensive review of survey‐based research in MIS

Abstract

Purpose -MIS researchers have consistently adopted survey-based research method while investigating MIS and related phenomenon, making survey-based research method one of the widely used research method in MIS research. This study seeks to revisit some of the inherent characteristics of survey-based research method with the aim of improving the quality, replication, and validation of results in MIS survey-based studies. Additionally, this study provides information on the most prevalent analytical and statistical tools used in MIS survey research studies. Design/methodology/approach -In this research, the authors adopt the content analysis technique. The choice of content analysis is premised on the desire to investigate the sources of survey data, units of analysis, research methods, and statistical tools used in MIS research with the aim of improving empirical research in the MIS discipline. Findings -The results show the prevalent sources of data, the dominant units of analysis, the most commonly used analytical research methods, and the statistical tools adopted by many MIS researchers. The results indicate that many MIS researchers get their data from US sources, although researchers are increasingly acquiring data from other countries. Also, the results reveal that most MIS survey researchers are using SEM, LISREL, and PLS statistical methods and tools. Practical implications -The paper concludes with recommendations and implications on how to inform and retool upcoming and existing researchers on the current and future MIS research tools and methods. Editors should ensure that MIS researchers provide as much information as possible about the sources of data, the dominant units of analysis, the analytical research methods used, and the statistical tools adopted; these will demonstrate the rigor of the research process and enable replication, validation, and extension of the research works. Originality/value -The paper presents the results of a content analysis of 749 survey-based research articles published between 1990 and 2010 in nine mainstream MIS Journals. Prior studies have broadly addressed aspects of MIS research methodologies like investigating MIS research methods, ranking them, and generated a taxonomy of MIS research methodology. The results of this study make a case for the reporting of, both, the analytical method(s) and statistical tools used by MIS researchers to aid in replicating, validating, and extending the resultant findings of their survey-based research.

Digitalization of waste management: Insights from German private and public waste management firms

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The role of industry and academia partnership in improving project management curriculum and competencies

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