Survey Research Methodology in Management Information Systems: An Assessment

Survey Research Methodology in Management Information Systems: An Assessment

1993-12-01 | Alain Pinsonneault, Kenneth L. Kraemer
The article "Survey Research Methodology in Management Information Systems: An Assessment" by Alain Pinsonneault and Kenneth L. Kraemer evaluates the application of survey research in the field of Management Information Systems (MIS) between 1980 and 1990. The authors find that while survey research is widely used, it often suffers from significant weaknesses, including single-method designs, inadequate sampling procedures, low response rates, weak linkages between units of analysis and respondents, and overreliance on cross-sectional surveys. The quality of survey research varies among studies, with explanatory studies generally being of better quality than exploratory and descriptive studies. The article presents a framework for classifying and assessing survey research and offers recommendations to improve the quality of survey research in MIS. Key issues addressed include the need for longitudinal studies, the use of multiple research methods, and the importance of representative sampling and adequate sample sizes. The authors conclude that while there has been a trend towards more explanatory research, the overall quality of survey research in MIS remains suboptimal.The article "Survey Research Methodology in Management Information Systems: An Assessment" by Alain Pinsonneault and Kenneth L. Kraemer evaluates the application of survey research in the field of Management Information Systems (MIS) between 1980 and 1990. The authors find that while survey research is widely used, it often suffers from significant weaknesses, including single-method designs, inadequate sampling procedures, low response rates, weak linkages between units of analysis and respondents, and overreliance on cross-sectional surveys. The quality of survey research varies among studies, with explanatory studies generally being of better quality than exploratory and descriptive studies. The article presents a framework for classifying and assessing survey research and offers recommendations to improve the quality of survey research in MIS. Key issues addressed include the need for longitudinal studies, the use of multiple research methods, and the importance of representative sampling and adequate sample sizes. The authors conclude that while there has been a trend towards more explanatory research, the overall quality of survey research in MIS remains suboptimal.
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