Journal
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT
Volume 58, Issue 3, Pages 578-588Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TEM.2011.2136437
Keywords
Common method variance (CMV); common method bias; empirical research; information technology; methods; operations management; supply chain management; survey research
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Common method variance (CMV) is the amount of spurious correlation between variables that is created by using the same method-often a survey-to measure each variable. CMV may lead to erroneous conclusions about relationships between variables by inflating or deflating findings. We analyzed recent survey research in IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT, Journal of Operations Management, and Production and Operations Management to assess if and how scholars address CMV. We found that two-thirds of the relevant articles published between 2001 and 2009 did not formally address CMV, and many that did address CMV relied on relatively weak remedies. These findings have troubling implications for efforts to build knowledge within information technology, operations and supply chain management research. In an effort to strengthen future research designs, we provide recommendations to help scholars to better address CMV. Given the potentially severe effects of CMV, authors should apply the recommended CMV remedies within their survey-based studies, and reviewers should hold authors accountable when they fail to do so.
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