TY - JOUR
T1 - Defining an Affective Algorithm for Purchasing Decisions in E-Commerce Environments
AU - Cabrera, Daniel
AU - Araya, Nicole
AU - Jaime, Hernan
AU - Cubillos, Claudio
AU - Vicari, R. M.
AU - Urra, Enrique
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/1
Y1 - 2015/7/1
N2 - This paper presents an affective algorithm to support purchasing decisions in e-commerce environments. The literature associated with decision-making theory includes the affective dimension as a clear human decision factor. In the same sense, several models and proposals of consumer behavior consider both affective and social dimensions as very important factors that influence each human decision. However, the related work associated with electronic commerce proposes strongly the use of rational dimension as the main decision factor. Our approach proposes the incorporation of the affective dimension as a central component within an integrated decision schema. The proposed algorithm considers three different decision factors: an objective dimension, which represents the rational decision factors; an individual subjective dimension, which represents the affective decision factors; and a social subjective dimension, which represents the social decision factors. The study case explains how the proposal algorithm can be implemented in a real scenario.
AB - This paper presents an affective algorithm to support purchasing decisions in e-commerce environments. The literature associated with decision-making theory includes the affective dimension as a clear human decision factor. In the same sense, several models and proposals of consumer behavior consider both affective and social dimensions as very important factors that influence each human decision. However, the related work associated with electronic commerce proposes strongly the use of rational dimension as the main decision factor. Our approach proposes the incorporation of the affective dimension as a central component within an integrated decision schema. The proposed algorithm considers three different decision factors: an objective dimension, which represents the rational decision factors; an individual subjective dimension, which represents the affective decision factors; and a social subjective dimension, which represents the social decision factors. The study case explains how the proposal algorithm can be implemented in a real scenario.
KW - Affective algorithm
KW - e-Commerce
KW - purchasing decisions
UR - http://www.scopus.com/inward/record.url?scp=84942880339&partnerID=8YFLogxK
U2 - 10.1109/TLA.2015.7273796
DO - 10.1109/TLA.2015.7273796
M3 - Article
AN - SCOPUS:84942880339
VL - 13
SP - 2335
EP - 2346
JO - IEEE Latin America Transactions
JF - IEEE Latin America Transactions
SN - 1548-0992
IS - 7
M1 - 7273796
ER -