Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/101166
Title: Editorial: How to prevent, detect and control common method variance in electronic commerce research
Author: Rodriguez-Ardura, Inma  
Meseguer-Artola, Antoni  
Others: Universitat Oberta de Catalunya. Estudis d'Economia i Empresa
Citation: Rodríguez-Ardura, I. & Meseguer-Artola, A. (2020). Editorial: How to prevent, detect and control common method variance in electronic commerce research. Journal of Theoretical and Applied Electronic Commerce Research, 15 (2), 1-5. doi: 10.4067/S0718-18762020000200101
Abstract: In electronic commerce research, questionnaire surveys are widely used to gather information. But these questionnaires usually include scales to measure both the predictor constructs and the criterion constructs, and the data is often collected from the same respondents at the same time: this can introduce the challenging issue of common method variance (CMV). This editorial within the Journal of Theoretical and Applied Electronic Commerce Research is designed to touch upon preventions and controls for CMV for authors submitting manuscripts.
Keywords: common method bias
common method variance
CMV
questionnaire
survey
DOI: 10.4067/S0718-18762020000200101
Document type: info:eu-repo/semantics/contributionToPeriodical
Issue Date: May-2020
Publication license: http://creativecommons.org/licenses/by/3.0/es/  
Appears in Collections:Articles

Files in This Item:
File Description SizeFormat 
RodriguezArdura_CMV_JTAER_published.pdf252,91 kBAdobe PDFThumbnail
View/Open