Addressing Common Method Variance: Guidelines for Survey Research on Information Technology, Operations, and Supply Chain Management
By Christopher W. Craighead, Dave J. Ketchen, Kaitlin S. Dunn, G. Tomas M. Hult. IEEE transactions on engineering management, 2011
497 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Information Systems
View Paper: https://www.semanticscholar.org/paper/94eda6ad8dc62357b04edf9460b66efab0dc53f8
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In Information Systems and Management
In Management Information Systems
Citations in the corpus
- Common Method Variance Techniques (2014, background): “…but potentially involve greater levels of time and money than may be available (see Chang et al, 2010, p. 179; Podsakoff et al, 2003, pp. 887-888; Craighead et al, 2011; and MacKenzie and Podsakoff, 2012, pp. 544-545): • Obtain independent and dependent measures from separate sources (if…”
- Creativity and Control: A Paradox. Evidence from the Levers of Control Framework (2017, unknown): “Craighead, Ketchen, Dunn, and Hult (2011) argue that this approach is more robust because differences between a one-factor model and the multifactor model can be tested by comparing the fit statistics.”
- The role of perceived effectiveness of policy measures in predicting recycling behaviour in Hong Kong (2014, methodology): “Craighead et al. (2011) suggested that Harman’s single-factor test is straightforward for CMV without incurring additional resources.”
- Common Method Bias in Public Management Studies (2015, background): “will fit the data, and there is no useful guideline as to what would be the acceptable percentage of explained variance of a single-factor model’’ (see also Podsakoff et al. 2003; Craighead et al. 2011; MacKenzie and Podsakoff 2012).”
- How the Use of Big Data Analytics Affects Value Creation in Supply Chain Management (2015, unknown): “First, the potential for CMV is lessened somewhat by the fact that the supply chain executive was the appropriate respondent for the data, because he or she was the subject matter expert most knowledgeable about internal and external supply chain related matters [19].”