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Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea

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  • Oghuma, Apollos Patricks
  • Chang, Younghoon
  • Libaque-Saenz, Christian Fernando
  • Park, Myeong-Cheol
  • Rho, Jae Jeung

Abstract

Facilitated by advancement in technology, today, usage of mobile instant messaging (MIM) applications is a dominant global phenomenon that permeates every part of the world. This phenomenon results in drastic shift in customer attitude and behavior on how to connect and interact with others. MIM service has been replacing telecommunications operators (telcos)׳ short message service, and because third-party MIM applications are those gaining meaningful traction, this trend is threatening the telecommunications industry as it leads to losses in telcos׳ revenues. To cope with this onslaught of third-party MIM applications, telcos launched Joyn, their own MIM application. However, despite their similar technical characteristics, Joyn still lacks user traction. It is critical, therefore, to understand the antecedents to continuance use intention of MIM applications in both contexts. Based on the expanded expectation-confirmation model (ECM), the present research develops a benefit-confirmation model that examines the antecedents to continuance intention to use MIM applications, while provides a comparative analysis of two popular MIM applications in Korea—KakaoTalk (third-party) and Joyn (telcos). A total of 467 data point were collected online. The structural equation modeling results of the total sample provide support for ECM-related hypotheses as well as for significant effects of net benefits and network benefits on continuance intention to use MIM applications, while the comparative analysis suggests that KakaoTalk׳s prominent features are hedonic in nature, whereas, Joyn׳s main attribute is its interoperability. The implications of these findings are discussed.

Suggested Citation

  • Oghuma, Apollos Patricks & Chang, Younghoon & Libaque-Saenz, Christian Fernando & Park, Myeong-Cheol & Rho, Jae Jeung, 2015. "Benefit-confirmation model for post-adoption behavior of mobile instant messaging applications: A comparative analysis of KakaoTalk and Joyn in Korea," Telecommunications Policy, Elsevier, vol. 39(8), pages 658-677.
    • Handle: RePEc:eee:telpol:v:39:y:2015:i:8:p:658-677
    DOI: 10.1016/j.telpol.2015.07.009
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    as
    1. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "A latent class segmentation analysis of e-shoppers," Journal of Business Research, Elsevier, vol. 57(7), pages 758-767, July.
    2. Rajagopal, 2014. "The Human Factors," Palgrave Macmillan Books, in: Architecting Enterprise, chapter 9, pages 225-249, Palgrave Macmillan.
    3. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    4. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(1), pages 1-2, May.
    5. Venkatesh, Viswanath & Morris, Michael G. & Ackerman, Phillip L., 2000. "A Longitudinal Field Investigation of Gender Differences in Individual Technology Adoption Decision-Making Processes," Organizational Behavior and Human Decision Processes, Elsevier, vol. 83(1), pages 33-60, September.
    6. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    7. Peter B. Seddon, 1997. "A Respecification and Extension of the DeLone and McLean Model of IS Success," Information Systems Research, INFORMS, vol. 8(3), pages 240-253, September.
    8. Anonymous, 2014. "Introduction to the Issue," Journal of Wine Economics, Cambridge University Press, vol. 9(2), pages 109-110, August.
    9. Katz, Michael L & Shapiro, Carl, 1985. "Network Externalities, Competition, and Compatibility," American Economic Review, American Economic Association, vol. 75(3), pages 424-440, June.
    10. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    11. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
    12. Bhatnagar, Amit & Ghose, Sanjoy, 2004. "Segmenting consumers based on the benefits and risks of Internet shopping," Journal of Business Research, Elsevier, vol. 57(12), pages 1352-1360, December.
    13. Premkumar, G. & Bhattacherjee, Anol, 2008. "Explaining information technology usage: A test of competing models," Omega, Elsevier, vol. 36(1), pages 64-75, February.
    14. Xiaorui Hu & Zhangxi Lin & Andrew B. Whinston & Han Zhang, 2004. "Hope or Hype: On the Viability of Escrow Services as Trusted Third Parties in Online Auction Environments," Information Systems Research, INFORMS, vol. 15(3), pages 236-249, September.
    Full references (including those not matched with items on IDEAS)

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