Analysis of social factors and their relationship with perceived risk for e-commerce purchases
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) o...
- Autores:
-
Sánchez-Alzate, James Ariel
Sánchez-Torres, Javier A.
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2017
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/60430
- Acceso en línea:
- https://repositorio.unal.edu.co/handle/unal/60430
http://bdigital.unal.edu.co/58762/
- Palabra clave:
- 62 Ingeniería y operaciones afines / Engineering
E-commerce risks
Purchase intention
Internet
Social Influence
Web reputation
Riesgo electrónico
Intensión de compra
Internet
Influencia social
Reputación web
- Rights
- openAccess
- License
- Atribución-NoComercial 4.0 Internacional
| Summary: | 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. |
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