期刊
INTERNATIONAL JOURNAL OF E-COLLABORATION
卷 11, 期 4, 页码 1-10出版社
IGI GLOBAL
DOI: 10.4018/ijec.2015100101
关键词
Common Method Bias; e-Collaboration Technology; Monte Carlo Simulation; Partial Least Squares; Structural Equation Modeling
The author discusses common method bias in the context of structural equation modeling employing the partial least squares method (PLS-SEM). Two datasets were created through a Monte Carlo simulation to illustrate the discussion: one contaminated by common method bias, and the other not contaminated. A practical approach is presented for the identification of common method bias based on variance inflation factors generated via a full collinearity test. The author's discussion builds on an illustrative model in the field of e-collaboration, with outputs generated by the software WarpPLS. They demonstrate that the full collinearity test is successful in the identification of common method bias with a model that nevertheless passes standard convergent and discriminant validity assessment criteria based on a confirmation factor analysis.
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