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http://hdl.handle.net/10609/101166
Title: Editorial: How to prevent, detect and control common method variance in electronic commerce research
Author: Rodríguez Ardura, Inma
Meseguer Artola, Antoni  
Others: Universitat Oberta de Catalunya. Estudis d'Economia i Empresa
Keywords: common method bias
common method variance
CMV
questionnaire
survey
Issue Date: May-2020
Publisher: Journal of Theoretical and Applied Electronic Commerce Research
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
Also see: http://www.jtaer.com/portada.php?agno=2020&numero=2#
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.
Language: English
URI: http://hdl.handle.net/10609/101166
ISSN: 0718-1876MIAR
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