Analysis of social factors and their relationship with perceived risk for e-commerce purchases

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Autore principale: James Ariel Sánchez-Alzate
Natura: Artículo científico
Lingua:en
Pubblicazione: Universidad Nacional de Colombia 2017
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author James Ariel Sánchez-Alzate
author_facet James Ariel Sánchez-Alzate
contents Analysis of social factors and their relationship with perceived risk for e-commerce purchases James Ariel Sánchez-Alzate Javier A. Sánchez-Torres Ingeniería Internet commerce risks Web reputation Social Influence Purchase intention Many purchasing decisions have an associated level of risk deriving from the uncertain environment facing the buyer and the possible negative consequences of an online purchase. Through an empirical study, using a regression analysis of latent variables and the ordinary Partial Least Squares (PLS) optimization technique, a model that represents the relationship between customer orientation, social influence, reputation, privacy and how they affect the perceived risk, is proposed. The purpose of this is to enable companies to develop more effective methods of reducing this barrier and create strategies to increase purchases through e-commerce. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910039 https://www.redalyc.org/journal/496/49650910039/ https://www.redalyc.org/journal/496/49650910039/html/ https://www.redalyc.org/journal/496/49650910039/49650910039.epub https://www.redalyc.org/journal/496/49650910039/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84
format Artículo científico
id redalyc_49650910039
language en
publishDate 2017
publisher Universidad Nacional de Colombia
spellingShingle Analysis of social factors and their relationship with perceived risk for e-commerce purchases
James Ariel Sánchez-Alzate
Ingeniería
Internet
commerce risks
Web reputation
Social Influence
Purchase intention
Analysis of social factors and their relationship with perceived risk for e-commerce purchases James Ariel Sánchez-Alzate Javier A. Sánchez-Torres Ingeniería Internet commerce risks Web reputation Social Influence Purchase intention Many purchasing decisions have an associated level of risk deriving from the uncertain environment facing the buyer and the possible negative consequences of an online purchase. Through an empirical study, using a regression analysis of latent variables and the ordinary Partial Least Squares (PLS) optimization technique, a model that represents the relationship between customer orientation, social influence, reputation, privacy and how they affect the perceived risk, is proposed. The purpose of this is to enable companies to develop more effective methods of reducing this barrier and create strategies to increase purchases through e-commerce. 2017 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49650910039 https://www.redalyc.org/journal/496/49650910039/ https://www.redalyc.org/journal/496/49650910039/html/ https://www.redalyc.org/journal/496/49650910039/49650910039.epub https://www.redalyc.org/journal/496/49650910039/movil en http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.200 Vol.84
title Analysis of social factors and their relationship with perceived risk for e-commerce purchases
topic Ingeniería
Internet
commerce risks
Web reputation
Social Influence
Purchase intention
url https://www.redalyc.org/articulo.oa?id=49650910039
https://www.redalyc.org/journal/496/49650910039/
https://www.redalyc.org/journal/496/49650910039/html/
https://www.redalyc.org/journal/496/49650910039/49650910039.epub
https://www.redalyc.org/journal/496/49650910039/movil