Authors :
Constantinos Halkiopoulos; Hera Antonopoulou; Evgenia Gkintoni
Volume/Issue :
Volume 6 - 2021, Issue 4 - April
Google Scholar :
http://bitly.ws/9nMw
Scribd :
https://bit.ly/2StTS8b
Abstract :
Despite the crucial role of emotion in decisionmaking, research has yet to fully describe how viewers
effectively use emotional content. While an increasing
body of research explores the emotions at work in
consuming settings, a greater understanding of
consumers' emotional coping capacities has the potential
to impact business success outcomes. The current study
examines the effect of emotional intelligence on
consumer decision-making and quantifies consumers'
emotional capacities using a survey of social network
users. Additionally, empathy, personality, and emotional
intelligence are evaluated as distracting factors in the
current project that mediate and affect consumer
decision-making. The current project distinguished itself
by its application of data analysis methods to
psychometrics. Five psychometric scales measuring
empathy quotient and personality factors, emotional and
cognitive aspects, were distributed to participants to help
them understand how consumers to make personal
decisions. After collecting the data, it was analyzed,
ensuring that it was in a format appropriate for applying
the respective machine learning algorithms used in the R
package. The current research found that emotional
capacity predicts consumer success independently of
cognitive ability, demonstrating the construct's
significance in consumer behaviour.
Keywords :
Behavioral Data, Empathy, Decision Making, Consumer Ability, Machine Learning
Despite the crucial role of emotion in decisionmaking, research has yet to fully describe how viewers
effectively use emotional content. While an increasing
body of research explores the emotions at work in
consuming settings, a greater understanding of
consumers' emotional coping capacities has the potential
to impact business success outcomes. The current study
examines the effect of emotional intelligence on
consumer decision-making and quantifies consumers'
emotional capacities using a survey of social network
users. Additionally, empathy, personality, and emotional
intelligence are evaluated as distracting factors in the
current project that mediate and affect consumer
decision-making. The current project distinguished itself
by its application of data analysis methods to
psychometrics. Five psychometric scales measuring
empathy quotient and personality factors, emotional and
cognitive aspects, were distributed to participants to help
them understand how consumers to make personal
decisions. After collecting the data, it was analyzed,
ensuring that it was in a format appropriate for applying
the respective machine learning algorithms used in the R
package. The current research found that emotional
capacity predicts consumer success independently of
cognitive ability, demonstrating the construct's
significance in consumer behaviour.
Keywords :
Behavioral Data, Empathy, Decision Making, Consumer Ability, Machine Learning
