Browse > Article
http://dx.doi.org/10.14400/JDC.2014.12.3.95

A Study on Antecedents of User Addiction in Mobile Messenger Services  

Kim, Byoungsoo (Dept. of Business Administration, Seoul Women's University)
Publication Information
Journal of Digital Convergence / v.12, no.3, 2014 , pp. 95-103 More about this Journal
Abstract
Given social problems of technology addiction such as games and mobile messenger services (MMSs), it have become important to understand theoretical mechanisms to generate technology addiction. In this vein, this study examined key antecedents of technology addiction in the MMS environment. We posit technology habit and user satisfaction as key predictors of technology addiction. In addition, the impacts of social interaction and flow on use's technology addition formation were investigated The research framework was tested by using survey data collected from 278 Kakaotalk users who have used more than 6 months. The analysis results found that both technology habit and user satisfaction play an important role in generating technology addiction in the MMS context. The findings of this study indicate that social interaction and flow significantly affects technology habit and user satisfaction. The analysis results help government and MMS providers establish policies or strategies to induce healthy MMS use.
Keywords
Addiction; Habit; Flow; User Satisfaction; Mobile messenger services;
Citations & Related Records
Times Cited By KSCI : 3  (Citation Analysis)
연도 인용수 순위
1 M. Limayem, S. G. Hirt and C. M. K. Cheung, How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, Vol. 31, No. 4, pp. 705-738, 2007.
2 M. Csikszentmihalyi, Play and intrinsic rewards. Journal of Humanistic Psychology, Vol. 15, No. 3, pp. 41-63, 1975.   DOI
3 C. L. Hsu and H. P. Lu, Why do people play on-line games? An extended TAM with social influences and flow experience. Information & Management, Vol. 41, No. 7, pp. 853-868, 2004.   DOI   ScienceOn
4 J. Hair, R. Anderson and R. B. Tatham, Multivariate data analysis. Upper Saddle River: Prentice Hall, 1998.
5 P. S. Jang, Effect of flow experience, self-directed learning readiness and internet addiction on academic achievement in web-based computer education. The Journal of Digital Policy & Management, Vol. 10, No. 1, pp. 293-300, 2012.   과학기술학회마을
6 S. R. Lee, A study on the differences of mental health and media use according to the addiction of communication media. The Journal of Digital Policy & Management, Vol. 11, No. 7, pp. 255-260, 2013.   과학기술학회마을
7 S. Y. Lam, V. Shankar, M. K. Erramilli and B. Murthy, Customer value, satisfaction, loyalty, and switching costs: An illustration from a business-to-business service context. Journal of Academy Marketing Science, Vol. 32, No. 3, pp. 293-311, 2004.   DOI   ScienceOn
8 M. Koufaris, Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, Vol. 13, No. 2, pp. 205-223, 2002.   DOI   ScienceOn
9 S. C. Yang and C. J. Tung, Comparison of internet addicts and non-addicts in Taiwanese high schools. Computers in Human Behavior, Vol. 23, No. 1, pp. 79-96, 2007.   DOI   ScienceOn
10 H. C. Triandis, Attitude and attitude change. New York, NY, USA: John Wiley & Sons, 1971.
11 B. Kim, The diffusion of mobile data services and applications: exploring the role of habit and its antecedents. Telecommunications Policy, Vol. 36, No. 1, pp. 69-81, 2012.   DOI   ScienceOn
12 N. K. Lankton, E. V. Wilson and E. Mao, Antecedents and determinants of information technology habit. Information and Management, Vol. 47, No. 5-6, pp. 300-307, 2010.   DOI   ScienceOn
13 C. S. Wan and W. B. Chiou, Psychological motives and online games addiction: A test of flow theory and humanistic needs Theory for Taiwanese adolescents. CyberPsychology & Behavior. Vol. 9, No. 3, pp. 3317-324, 2006.
14 N. B. Park and S. A. Jin, Effects of self-disclosure on relational intimacy in Facebook. Computers in Human Behavior, Vol. 27, No. 5, pp. 1974-1983, 2011.   DOI   ScienceOn
15 K. M. Sheldon, N. Abad and C. Hinsch, A two-process view of Facebook use and relatedness need-satisfaction: Disconnection drives use, and connection rewards it. Journal of Personality and Social Psychology, Vol. 100, No. 4, pp.766-775, 2011.   DOI   ScienceOn
16 F. D. Davis, R. P. Bagozzi, and P. R. Warashaw, Extrinsic and intrinsic motivation to user computers in the workplace. Journal of Applied Social Psychology, Vol. 22, No. 14, pp. 1111-1132, 1992.   DOI
17 Y. Lu, K. K. Wei and J. Zhang, Understanding customer satisfaction and loyalty: An empirical study of mobile instant messages in China. International Journal of Information Management, Vol. 30, No. 4, pp. 289-300, 2010.   DOI   ScienceOn
18 T. Zhou and Y. Lu, Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior, Vol. 27, No. 2, pp. 883-889, 2011.   DOI   ScienceOn
19 W. H. DeLone and E. R. McLean, The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, Vol. 19, No. 4, pp. 9-30, 2003.
20 F. D. Davis, Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989.   DOI   ScienceOn
21 A. Bhattacherjee, Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, Vol. 25, No. 3, pp. 351-370, 2001.   DOI   ScienceOn
22 O. Turel, A. Serenko and P. Giles, Integrating technology addiction and use: An empirical investigation of online auction users. MIS Quarterly, Vol. 35, No. 4, pp. 1043-1061, 2011.
23 O. Turel and A. Serenko, The benefits and dangers of enjoyment with social networking websites. European Journal of Information Systems, Vol. 21, No. 5, pp. 512-528, 2012.   DOI
24 J. Y. Lee and P. S. Jang, An empirical study on e-learning participation affected by flow experience and internet addiction. The Journal of Digital Policy & Management, Vol. 11, No. 7, pp. 255-260, 2013.