Total views : 142

A Study on the Effects that Personality Traits have on the Performance Expectancy of Mobile Easy Payment


  • Department of Knowledge Service and Consulting, Hansung University, Seoul, Korea;
  • Division of Computer Engineering, Hansung University, Seoul, Korea;


Objectives: This study examines the effects that the personal traits (agreeableness, extroversion, openness to experience)about the acceptance intention of the mobile easy payment system have on the performance expectancy, which is the UTAUT independent variable. Methods/Statistical Analysis: The study examines the previous literature about the mobile easy payment, UTAUT and personal traits and develops the research model about the effects that the personal traits have on the performance expectancy of UTAUT in mobile easy payment. The study collects 208 pieces of data about the performance expectancy, the behavioral intention about mobile easy payment and personal traits to verify the research model. It conducts an exploratory factor analysis using SPSS 19.0 and performs confirmatory factor analysis and structural model analysis using AMOS. Findings: The result of the study analysis shows that among the observed personal traits, openness to experience and agreeableness had an effect on the performance expectancy while extraversion had no effect on it. This demonstrates that the effects on the performance expectancy of mobile easy payment differ depending on the personal traits of people. Improvements/Applications: This study confirmed that personal traits affect performance expectancy of UTAUT in mobile easy payment. Based on this, further studies are needed to identify the relationship between the whole UTAUT model components and Big 5 personal traits about various services.


Mobile Easy Payment, Personal Traits, UTAUT Performance Expectancy.

Full Text:

 |  (PDF views: 145)


  • Sangar AB, Rastari S. A model for increasing usability of mobile banking apps on smart phones. Indian Journal of Science and Technology. 2015 Nov; 8(30):1–9.
  • Lee SY, Park J. A study on the intension of the use of mobile payment services: Application of technology acceptance model. Korean Management Science Review. 2016; 33(2):65–74.
  • Kim CS. Mirusmonov M, Lee I. An empirical examination of factors influencing the intention to use mobile payment.Computers in Human Behavior. 2010; 25(3):310–22.
  • Kim JH. The effects of individual personality on brand personality and consumer behavior: Appling the big five factors model. The Korean Journal of Advertising. 2013; 24(1):31–55.
  • Yang B. How does personality link to customer retention?A sequential mediating model of self-efficacy and relational investment. Indian Journal of Science and Technology.2015; 8(25):1–10.
  • Davis FD, Bagozzi RP, Warshaw PR. User acceptance of computer technology: A comparison of two theoretical models. Management Science. 1989; 35(8):982–1003.
  • Hyun GC, Kyoung HE. Mobile simple payment attributes and intention to use: Focused on non-users. Journal of Korean Society of Hazard Mitigation. 2016; 16(2):191–6.
  • Venkatesh V, Davis FD. A theoretical extension of the technology acceptance model: Four longitudinal field studies.Management Science. 2000 Feb; 46(2):186–204.
  • Son J. The effect of Big 5 personality traits on the leadership code of employees in Korea Corporations. Korean Journal of Business Administration. 2014; 27(7):1073–89.
  • Barnett T, et al. Five-factor model Personality traits as predictors of perceived and actual usage of technology.European Journal of Information Systems. 2015; 24:374–90.
  • Zhou T, Lu Y. The effects of personality traits on user acceptance of mobile commerce. International Journal of Human-Computer Interaction. 2011; 27(6):545–61.
  • Rosen PA, Kluemper DH. The impact of the Big 5 personality traits on the acceptance of social networking website.Proceedings of Fourteenth Americans Conference on Information Systems; Toronto, ON, Canada. 2008 Aug14th17th. p. 1–10.
  • Devaraj S, Easley RF, Crant JM. How does personality matter? Relating the five-factor model to technology accep tance and use. Information System Research. 2008 Mar; 19(1):93–105.


  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 License.