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A Study on Continued Usage of Mobile Telecommunication Companies by Killer-app Lock-in

킬러앱 고착화(Lock-in)로 인한 이동통신사의 지속적 사용의도에 관한 연구

  • Received : 2014.04.16
  • Accepted : 2014.06.20
  • Published : 2014.06.28

Abstract

This study is about the influence between usages of smartphone by studying the characteristics of killer-app on smartphone in a perspective of switching cost and lock-in and studied about influence between killer-app and continued usage of mobile telecommunication companies. As a result of the study, information characteristics and network externality has a positive effect on switching cost and lock-in. Switching cost has a positive influence on lock-in but not on intention of continued usage of killer-app. It has shown that lock-in has a positive influence on intention of continued usage of killer-app and plays a mediating role between switching cost and continued usage of killer-app. Finally, intention of continued usage of killer-app has a positive influence on intention of continued usage of mobile telecommunication companies.

Keywords

Killer-app;Information Characteristics;Network Externality;Switching Cost;Lock-in;Continued Usage

References

  1. The World Bank, Maximizing Mobile Report Highlights Development Potential of Mobile Communications, 2012.
  2. LG Economic Research Institute, Seven kinds of Notable consumption trends in 2010, pp. 20-35, 2010.
  3. Kim, H. M., Cho, H. J. and Song, D. K., A Comparative Study on Factors Influencing Purchase Intention of Smartphones in Korea and China, Korean-Chinese Social Science Studies, Vol. 22, pp. 203-230, 2012.
  4. Lee, J. H., Smart phone usage patterns and consumer trends, Marketing, Vol. 44, No. 11pp. 27-31, 2010.
  5. Doll, W. J., Hendrickson, A. and Deng, X., Using Davis's Perceived Usefulness and Ease-of-use Instruments for Decision Making: A Confirmatory and Multigroup Invariance Analysis, Decision Science, Vol. 29, No. 4, pp. 839-870, 1998. https://doi.org/10.1111/j.1540-5915.1998.tb00879.x
  6. Chen, J. V., Yen, D. C. and Chen, K., The acceptance and diffusion of the innovative smart phone use: A case study of a delivery service company in logistics, Information and Management, Vol. 46, No. 4, pp. 241-248, 2009. https://doi.org/10.1016/j.im.2009.03.001
  7. Shin, Y. M., Lee, S. C. and Lee, H. G., System Characteristics, User Perceptions in the Prediction of Mobile Internet Usage: A Re-examination of the Technology Acceptance model, Korean Management Review, Vol. 33, No. 5, pp. 1283-1310, 2004.
  8. Davis, F. D., Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, Vol. 13, No. 3, pp. 319-340, 1989. https://doi.org/10.2307/249008
  9. Adams, D. A., Nelson, R. R. and Todd, P. A., Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication, MIS Quarterly, Vol. 16, No. 2, pp. 227-247, 1992. https://doi.org/10.2307/249577
  10. Shin, J. C. and Kang, M. S., A Study on the Impact of Consumer Valueon the Mobile Wireless Internet on the Usage Intention and Time of the Mobile Wireless Internet, Journal of Consumer Studies, Vol. 15, No. 2, pp. 125-143, 2004.
  11. Katz, M. L. and Shapiro, C., Network Externalities, Competition, and Compatibility, The American Economic Review, Vol. 75, No. 3, pp. 424-440, 1985.
  12. Deng, Z. Lu, Y., Wei, K. K. and Zhang, J., 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. https://doi.org/10.1016/j.ijinfomgt.2009.10.001
  13. Lee, L. and Gim, G. Y., A Study on the Effects Network Externalities and Experiential Value Perceived from MIM Service on Continuous Intention, Journal of the Korea Society of IT Services, Vol. 12, No. 1, pp. 51-67, 2013. https://doi.org/10.9716/KITS.2013.12.1.051
  14. Burnham, T. A., Frels, J. K. and Mahajan, V., Consumer Switching Costs: A Typology, Antecedents, and Consequences, Journal of the Academy of Marketing Science. Vol. 31, No. 2, pp. 109-126, 2003. https://doi.org/10.1177/0092070302250897
  15. Dick, A. S. and Basu, K., Customer loyalty: Toward an integrated conceptual framework, Journal of the Academy of Marketing Science, Vol. 22, No. 2, pp. 99-113, 1994. https://doi.org/10.1177/0092070394222001
  16. Fornell, C., A National Customer Satisfaction Barometer: The Swedish Experience, Journal of Marketing, Vol. 56, No. 1, pp. 6-12, 1992. https://doi.org/10.2307/1252129
  17. Patterson, P. G. and Smith, T., A cross-cultural study of switching barriers and propensity to stay with service providers, Journal of Retailing, Vol. 79, No. 2, pp. 107-120, 2003. https://doi.org/10.1016/S0022-4359(03)00009-5
  18. Kwon, S. J. and Chae, S. U., The role of device attachment in post-adoption of mobile hand-held devices, Journal of Information Systems, Vol. 18, No. 3, pp. 27-46, 2009. https://doi.org/10.5859/KAIS.2009.18.3.027
  19. Jones, T. O. and Sasser, W. E., Why Satisfied Customers Defect, Harvard Business Review, Vol. 73, No. 6, pp. 88-99, 1995.
  20. Thomson, M., Maclnnis, D. J. and Park, C. W., The Ties That Bind: Measuring the Strength of Consumers' Emotional Attachments to Brands, Journal of Consumer Psychology, Vol. 15, No. 1, pp. 77-91, 2005. https://doi.org/10.1207/s15327663jcp1501_10
  21. Pedersen, P. E., Methlie, L. B. and Thorbjornsen, H, Understanding mobile commerce end-user adoption: a triangulation perspective and suggestions for an exploratory service evaluation framework, System Sciences, HICSS. Proceedings of the 35th Annual Hawaii International Conference, pp. 1079-1086, 2002.
  22. Lee, W. K. and Kwon, J. I., An Analysis of the Relationships between the Technology Acceptance Model and Switching Costs, Journal of the Korean Operations Research and Management Science Society, Vol. 37, No. 1, pp. 89-104, 2012. https://doi.org/10.7737/JKORMS.2012.37.1.089
  23. Kim, H. R., Kim, J. Y., Yun, S. J. and Lee, M. K., KakaoTalk and Network Externalities: Focusing on the mediation role of perceived interactivity and perceived risk, Korean Marketing Review, Vol. 28, No. 2, pp. 17-38, 2013.
  24. Lee, M. and Cunnigham, L. F., A cost/benefit approach to understanding service loyalty, Journal of Services Marketing, Vol. 15, No. 2, pp. 113-130, 2001. https://doi.org/10.1108/08876040110387917
  25. Park, J. W., Consumer behavior in online age, Bobmunsa, 2002.
  26. Choi, J. W., Measurements of Network Externality and Switching Cost for Users' Lock-in: Based on Social Media and Social Networking, Korean Review of Management Consulting, Vol. 1, No. 2, pp. 181-193, 2010.
  27. Yoon, C. H., Kim, H. S. and Kwon, N. H., An Empirical Analysis of Churning and Lock-in Effects in the Korean Mobile Telephony Market, Korean Telecommunications Policy Review, Vol. 9, No. 2, pp. 77-88, 2002.
  28. Venkatesh, V., Morris, M. G., Davis, G. B. and Davis. F. D., User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, Vol. 27, No. 3, pp. 425-478, 2003. https://doi.org/10.2307/30036540
  29. Wu, J. J. and Tsang, A. S., Factors affecting members' trust belief and behaviour intention in virtual communities, Behavior & Information Technology, Vol. 27, No. 2, pp. 115-125, 2008. https://doi.org/10.1080/01449290600961910
  30. Liu, H. R. and Kim H. G., A Study on the Attributes and the Acceptance Influence Factor of Brand Applications, The Journal of Internet Electronic Commerce Research, Vol. 13, No. 4, pp. 175-194, 2013.
  31. Baron, R. and D. Kenny, The moderator-mediator distinction in social psychological research: Conceptual, strategic, and statistical considerations, Journal of Personality and Social Psychology, Vol. 51, No. 6, pp. 1173-1182, 1986. https://doi.org/10.1037/0022-3514.51.6.1173