Determinants of Postadoption Behaviors of Mobile Communications Applications: A Dual-Model Perspective

REFERENCES

• Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13, 411–454.
   Web of Science ®Google Scholar
• Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology & Marketing, 20, 123–136.
   Web of Science ®Google Scholar
• Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25, 351–370.
   Web of Science ®Google Scholar
• Bhattacherjee, A., Limayem, M., & Cheung, C. M. K. (2012). User switching of information technology: A theoretical synthesis and empirical test. Information & Management, 49, 327–333.
   Web of Science ®Google Scholar
• Burnham, T. A., Frels, J. K., & Mahajan, V. (2003). Consumer switching costs: A typology, antecedents, and consequences. Journal of the Academy of Marketing Science, 31, 109–126.
   Web of Science ®Google Scholar
• Chea, S., & Luo, M. M. (2008). Post-adoption behaviors of e-service customers: The interplay of cognition and emotion. International Journal of Electronic Commerce, 12(3), 29–56.
   Web of Science ®Google Scholar
• Chin, W. W. (1998). The partial least squares approach to structural equation modeling. In G. A. Marcoulides ( Ed.), Modern methods for business research ( pp. 295–336). Mahwah, NJ: Erlbaum.
   Google Scholar
• Chin, W. W., Gopal, A., & Salisbury, W. D. (1997). Advancing the theory of adaptive structuration: The development of a scale to measure faithfulness of appropriation. Information Systems Research, 8, 342–367.
   Web of Science ®Google Scholar
• Choi, G., & Chung, H. (2013). Applying the technology acceptance model to social networking sites (SNS): Impact of subjective norm and social capital on the acceptance of SNS. International Journal of Human–Computer Interaction, 29, 619–628.
   Web of Science ®Google Scholar
• Chosunilbo. ( 2012). KakaoTalk daily traffic hits 3 billion. Retrieved from http://english.chosun.com/site/data/html_dir/2012/07/27/2012072701392.html
   Google Scholar
• CNET. ( 2011). Cnet’s no.1 free SMS app KakaoTalk. Retrieved from http://cnettv.cnet.com/free-sms-apps/9742-1_53-50112193.html
   Google Scholar
• Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13, 319–340.
   Web of Science ®Google Scholar
• Davis, F. D., Bagozzi, R. P., & Warashaw, P. R. (1992). Extrinsic and intrinsic motivation to user computers in the workplace. Journal of Applied Social Psychology, 22, 1111–1132.
   Web of Science ®Google Scholar
• DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9–30.
   Web of Science ®Google Scholar
• Festinger, L. A. (1957). A theory of cognitive dissonance. Evanston, IL: Row & Peterson.
   Google Scholar
• Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to customer exit-voice theory. Journal of Marketing Research, 19, 440–452.
   Web of Science ®Google Scholar
• Fornell, C., & Larcker, D. F. (1981), Evaluating structural evaluation models with unobservable variables and measurement error. Journal of Marketing Research, 18, 39–50.
   Web of Science ®Google Scholar
• Games in Asia. ( 2013). Game on: KakaoTalk brings social gaming platform to Indonesia and Vietnam. Retrieved from http://www.gamesinasia.com/KakaoTalk-gaming-indonesia-vietnam/
   Google Scholar
• Gerpott, T. J., Rams, W., & Schindler, A. (2001). Customer retention, loyalty, and satisfaction in the German mobile cellular telecommunications market. Telecommunications Policy, 25, 249–269.
   Web of Science ®Google Scholar
• Gerpott, T. J., Thomas, S., & Weichert, M. (2013). Characteristics and mobile Internet use intensity of consumers with different types of advanced handsets: An exploratory empirical study of iPhone, Android and other web-enabled mobile users in Germany. Telecommunications Policy, 37, 357–371.
   Web of Science ®Google Scholar
• Hair, J., Anderson, R., & Tatham, R. B. (1998). Multivariate data analysis. Upper Saddle River, NJ: Prentice Hall.
   Google Scholar
• Hau, Y. S., Kim, G., & Kim, B. (2012). Antecedents of user satisfaction in the context of mobile data services: The moderating role of variety and rate of usage. International Journal of Mobile Communications, 10, 617–636.
   Web of Science ®Google Scholar
• Heide, J. B., & Weiss, A. M. (1995). Vendor consideration and switching behavior for buyers in high-technology markets. Journal of Marketing, 59(3), 30–43.
   Web of Science ®Google Scholar
• Hong, S. J., Thong, J. Y. L., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile Internet. Decision Support Systems, 42, 819–1834.
   Web of Science ®Google Scholar
• Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2000). Switching barriers and repurchase intentions in services. Journal of Retailing, 76, 259–274.
   Web of Science ®Google Scholar
• KakaoTalk. ( n.d.). In Wikipedia. Retrieved from http://en.wikipedia.org/wiki/KakaoTalk (accessed April 16, 2006).
   Google Scholar
• Kim, B. (2011). Understanding antecedents of continuance intention in social-networking services. Cyberpsychology, Behavior, and Social Networking, 14, 199–205.
   PubMed Web of Science ®Google Scholar
• Kim, B. (2012). The diffusion of mobile data services and applications: Exploring the role of habit and its antecedents. Telecommunication Policy, 36, 69–81.
   Web of Science ®Google Scholar
• Kim, B., & Han, I. (2009). The role of trust belief in community-driven knowledge and its antecedents. Journal of the American Society for Information Science and Technology, 60, 1012–1026.
   Web of Science ®Google Scholar
• Kim, M. K., Park, M. C., & Jeong, D. H. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28, 145–159.
   Web of Science ®Google Scholar
• Kim, S. S., & Son, J. Y. (2009). Out of dedication or constraint? A dual model of post-adoption phenomena and its empirical test in the context of online services. MIS Quarterly, 33, 49–70
   Web of Science ®Google Scholar
• Krasnova, H., Veltri, N. F., & Günther, O. (2012). Self-disclosure and privacy calculus on social networking sites: The role of culture. Business & Information Systems Engineering, 4, 127–135.
   Web of Science ®Google Scholar
• Lankton, N. K., & McKnight, H. D. (2012). Examining two expectation disconfirmation theory models: Assimilation and asymmetry effects. Journal of the Association for Information Systems, 13, 88–115.
   Web of Science ®Google Scholar
• Lee, I., Choi, B., Kim, J., & Hong, S. J. (2007). Culture–technology fit: Effects of cultural characteristics on the post-adoption beliefs of mobile internet users. International Journal of Electronic Commerce, 11(4), 11–51.
   Web of Science ®Google Scholar
• Liang, H., Saraf, N., Hu, Q., & Xue, Y. (2007). Assimilation of enterprise systems: The effects of institutional pressures and the mediating role of top management. MIS Quarterly, 31, 59–88.
   Web of Science ®Google Scholar
• Limayem, M., Hirt, S. G., & Cheung, C. M. K. (2007). How habit limits the predictive power of intention: The case of information systems continuance. MIS Quarterly, 31, 705–738.
   Web of Science ®Google Scholar
• Lin, K. Y., & Lu, H. P. (2011). Why people use social networking sites: An empirical study integrating network externalities and motivation theory. Computer in Human Behavior, 27, 1152–1161.
   Web of Science ®Google Scholar
• Marcoulides, G., Chin, W., & Saunders, C. (2009). A critical look at partial least squares modeling. MIS Quarterly, 33, 171–175.
   Web of Science ®Google Scholar
• Oliver, R. L. (1993). Cognitive, affective, and attribute bases of the satisfaction response. Journal of Consumer Research, 20, 418–430.
   Web of Science ®Google Scholar
• Polites, G. L., & Karahanna, E. (2012). Shackled to the status quo: The inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 36, 21–42.
   Web of Science ®Google Scholar
• Qin, L., Kim, Y., Hsu, J., & Tan, X. (2011). The effects of social influence on user acceptance of online social networks. International Journal of Human–Computer Interaction, 27, 885–899.
   Web of Science ®Google Scholar
• Rau, P. L., Gao, Q., & Ding, Y. (2008). Relationship between the level of intimacy and lurking in online social network services. Computers in Human Behavior, 24, 2757–2770.
   Web of Science ®Google Scholar
• Ray, S., Kim, S. S., & Morris, J. G. (2012). Online users’ switching costs: Their nature and formation. Information Systems Research, 23, 197–213.
   Web of Science ®Google Scholar
• Ryan, R. M., Mims, V., & Koestner, R. (1983). Relation of reward contingency and interpersonal context to intrinsic motivation: A review and test using cognitive evaluation theory. Journal of Personality and Social Psychology, 45, 736–750.
   Web of Science ®Google Scholar
• Sharma, N., & Patterson, P. G. (2000). Switching costs, alternative attractiveness and experience as moderators of relationship commitment in professional, consumer services. International Journal of Service Industry Management, 11, 470–490.
   Google Scholar
• Spreng, R. A., MacKenzie, S. B., & Olshavsky, R.W. (1996). A reexamination of the determinants of consumer satisfaction. Journal of Marketing, 60, 15–32.
   Web of Science ®Google Scholar
• Tech in Asia. ( 2013a). KakaoTalk reveals $45 million revenue, $7 million profit. Retrieved from http://www.techinasia.com/KakaoTalk-revenue-profit/
   Google Scholar
• Tech in Asia. ( 2013b). Messaging app war: WeChat and Line are leaving KakaoTalk behind; WhatsApp should be worried. Retrieved from http://www.techinasia.com/messaging-app-war-wechat-line-KakaoTalk-whatsapp/
   Google Scholar
• Thong, J. Y. L., Hong, S. J., & Tam, K. Y. (2006). The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance. International Journal of Human–Computer Studies, 64, 799–810.
   Web of Science ®Google Scholar
• Triandis, H. C. (1971). Attitude and attitude change. New York, NY: Wiley & Sons.
   Google Scholar
• Woisetschläger, D. M., Lentz, P., & Evanschitzky, H. (2011). How habits, social ties, and economic switching barriers affect customer loyalty in contractual service settings. Journal of Business Research, 64, 800–808.
   Web of Science ®Google Scholar
• Ye, Q., Law, R., Gu, B., & Chen, W. (2011). The influence of user-generated content on traveler behavior: An empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Computers in Human Behavior, 27, 634–639.
   Web of Science ®Google Scholar
• Zhou, T., & Lu, Y. (2012). Examining postadoption usage of mobile services from a dual perspective of enablers and inhibitors. International Journal of Human–Computer Interaction, 27, 1177–1191.
   Web of Science ®Google Scholar