Title
Personality Traits as Predictor of M-Payment Systems: A SEM-Neural Networks Approach
Abstract
AbstractMobile phones have led to a great revolution of modern society, helpful for many businesses to reorient their sales methods towards effective commercial formats. The m-payment, for instance, as an emergent technology to these novel commercial setups, is now undertaking the adoption process. Individual users are known to vary in their tendency to accept new technologies. Not surprisingly, some conceptual models describe how and why individuals use m-payments. Until recently, however, the role of personality in overall, and the big five model of personality, in particular, had remained mostly unexplored. This article aims to ascertain the impact of personality traits on m-payment adoption. Data were collected from 323 m-payment customers and analyzed using a two-step research methodology. SEM was applied to test the hypothesis, and significant antecedents of m-payment were identified. Next significant personality factors were input to a neural network model for ranking. The results showed that conscientious and agreeableness is the two main predictors of m-payment adoption.
Year
DOI
Venue
2019
10.4018/JOEUC.2019100105
Periodicals
Keywords
Field
DocType
Agreeableness,Artificial Neural Networks,Conscientiousness,Extraversion,M-Commerce,Mobile Payment,Neuroticism,Openness to Experience,Personality Traits,SEM
Big Five personality traits,Computer science,Knowledge management,Artificial neural network,Payment
Journal
Volume
Issue
ISSN
31
4
1546-2234
Citations 
PageRank 
References 
1
0.36
0
Authors
3
Name
Order
Citations
PageRank
Ali Nawaz Khan172.21
Xiongfei Cao210.36
Abdul Hameed Pitafi310.36