{"doi":"10.4018/ijec.2015100101","title":"Common Method Bias in PLS-SEM","abstract":"<p>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.</p>","journal":"International Journal of e-Collaboration","year":2015,"id":1679,"datarank":9.956761847973743,"base_score":8.96392819372262,"endowment":8.96392819372262,"self_citation_contribution":1.3445892290583932,"citation_network_contribution":8.61217261891535,"self_endowment_contribution":1.3445892290583932,"citer_contribution":8.61217261891535,"corpus_percentile":87.9,"corpus_rank":1565,"citation_count":7815,"citer_count":196,"citers_with_citation_signal":196,"citers_with_endowment":196,"datacite_reuse_total":0,"is_dataset":false,"is_oa":false,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2015-10-01","authors":[{"id":19028,"name":"Ned Kock","orcid":"0000-0002-5791-5434","position":0,"is_corresponding":true}],"reference_count":19,"raw_metadata":{"citation_network_status":"fetched"},"created_at":"2026-03-01T18:20:47.508186Z","pmid":null,"pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}