dc.contributor
Universitat Oberta de Catalunya. Estudis d'Economia i Empresa
dc.contributor.author
Rodríguez Ardura, Inma
dc.contributor.author
Meseguer Artola, Antoni
dc.date
2019-09-30T18:37:47Z
dc.date
2019-09-30T18:37:47Z
dc.identifier.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
dc.identifier.citation
0718-1876
dc.identifier.citation
10.4067/S0718-18762020000200101
dc.identifier.uri
http://hdl.handle.net/10609/101166
dc.description.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.
dc.format
application/pdf
dc.publisher
Journal of Theoretical and Applied Electronic Commerce Research
dc.relation
Journal of Theoretical and Applied Electronic Commerce Research, 2020, 15(2)
dc.relation
http://www.jtaer.com/portada.php?agno=2020&numero=2#
dc.rights
info:eu-repo/semantics/openAccess
dc.rights
<a href="http://creativecommons.org/licenses/by/3.0/es/">http://creativecommons.org/licenses/by/3.0/es/</a>
dc.subject
common method bias
dc.subject
common method variance
dc.subject
variación del método habitual
dc.subject
sesgo del método habitual
dc.subject
variació del mètode habitual
dc.subject
biaix del mètode habitual
dc.subject
Electronic commerce
dc.subject
Comerç electrònic
dc.subject
Comercio electrónico
dc.title
Editorial: How to prevent, detect and control common method variance in electronic commerce research
dc.type
info:eu-repo/semantics/other