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Título : Editorial: How to prevent, detect and control common method variance in electronic commerce research
Autoría: Rodriguez-Ardura, Inma  
Meseguer-Artola, Antoni  
Otros: Universitat Oberta de Catalunya. Estudis d'Economia i Empresa
Citación : 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
Resumen : 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.
Palabras clave : variación del método habitual
CMV
cuestionario
encuesta
sesgo del método habitual
DOI: 10.4067/S0718-18762020000200101
Tipo de documento: info:eu-repo/semantics/contributionToPeriodical
Fecha de publicación : may-2020
Licencia de publicación: http://creativecommons.org/licenses/by/3.0/es/  
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