Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                
Skip to main content
Springer Nature Link
Log in

Switching Motivations on Instant Messaging: A Study Based on Two Factor Theory

  • Conference paper
  • First Online:
Multidisciplinary Social Networks Research (MISNC 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 540))

Included in the following conference series:

Abstract

Instant messaging, like Skype, is facing a challenge from mobile instant messaging in recent year and some instant messaging might to close their service in the near future. Therefore, understanding user’s motives to switch to mobile instant messaging has great influence on operators’ business performance, as they could adopt appropriate strategies to retain the users. The study attempts to explore the switching factors and to examine the relationships between those and user’s intentions to switching to mobile instant messaging, based on the two-factor theoretical perspective. Structural equation modeling was applied to analyse data collected from 186 users by empirical survey. According to our finding, the study suggests that operators should satisfy users’ pursuit of freshness, and carefully examine whether their services could address users’ needs of sociality and entertainment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Premkumar, G., Rammurthy, K., Liu, H.: Internet Mes- saging: An Examination of the Impact of Attitudinal, Normative and Control Belief Systems. Information & Management 45, 451–457 (2008)

    Article  Google Scholar 

  2. Li, H., Gupta, A., Luo, X., Warkentin, M.: Exploring the impact of instant messaging on subjective task complexity and user satisfaction. European Journal of Information Systems 20, 139–155 (2011)

    Article  Google Scholar 

  3. Lien, C.H., Cao, Y.: Examining WeChat users’ motivations, trust, attitudes, and positiveword-of-mouth: Evidence from China 41, 104–111 (2014)

    Google Scholar 

  4. Park, S.C., Ryoo, S.Y.: An empirical investigation of end-users’ switching toward cloud computing: A two factor theory perspective. Computers in Human Behavior 29(1), 160–170 (2013)

    Article  Google Scholar 

  5. Roos, I.: Switching processes in customer relationships. Journal of Service Research 2(1), 68–85 (1999)

    Article  Google Scholar 

  6. Keaveney, S.M., Parthasarathy, M.: Customer switching behavior in online services: An exploratory study of the role of selected attitudinal, behavioral, and demographic factors. Journal of the Academy of Marketing Science 29(4), 374–390 (2001)

    Article  Google Scholar 

  7. Bansal, H.S., Taylor, S.F., James, Y.S.: ‘Migrating’ to new service providers: toward a unifying framework of consumers’ switching behaviors. Journal of the Academy of Marketing Science 33(1), 96–115 (2005)

    Article  Google Scholar 

  8. Hou, A., Chern, C.C., Chen, H.G., Chen, Y.C.: ‘Migrating to new virtual world’: exploring MMORPG switching through demographic migration theory. Computers in Human Behavior 25(2), 578–586 (2011)

    Google Scholar 

  9. Keaveney, S.M.: Customer switching behavior in service industries: an exploratory study. Journal of Marketing 59(2), 71–82 (1995)

    Article  Google Scholar 

  10. Kim, G., Shin, B., Lee, H.G.: A study of factors that affect user intentions toward email service switching. Information & Management 43(7), 884–893 (2006)

    Article  Google Scholar 

  11. Oliver, R.L., Swan, J.E.: Consumer perceptions of interpersonal equity and satisfaction in transactions: a field survey approach. Journal of Marketing 53(2), 21–35 (1989)

    Article  Google Scholar 

  12. Zhang, Z.K., Lee, K.O., Cheung, M.K., Chen, H.: Understanding the role of gender in bloggers’ switching behaviour. Decision Support System 47(4), 540–546 (2009)

    Article  Google Scholar 

  13. Hou, A., Wu, K-L., Huang, C.C.: The effect of push-pull-mooring on the switching model for social network sites migration. In: Proceedings of The 18th Pacific Asia Conference in Information System (PACIS 2014), Sichuan, China, June 24–28, 2014

    Google Scholar 

  14. Chiu, H., Hsieh, Y., Roan, J., Tseng, K.-J., Hsieh, J.: The challenge for multichannel services: Cross-channel free-riding behavior. Electronic Commerce Research and Applications 10(2), 268–277 (2011)

    Article  Google Scholar 

  15. Herzberg, F.: One more time: How do you motivate employees? Harvard Business Review 65(5), 109–120 (1987)

    Google Scholar 

  16. Herzberg, et al.: The motivation to work. Wiley, New York (1959)

    Google Scholar 

  17. Cenfetelli, R.T., Schwarz, A.: Identifying and Testing the Inhibitors of Technology Usage Intentions. Information Systems Research 22(4), 808–823 (2008)

    Article  Google Scholar 

  18. Liu, C.-T., Guo, Y.M., Lee, C.-H.: The effects of relationship quality and switching barriers on customer loyalty. International Journal of Information Management 31(1), 71–79 (2011)

    Article  Google Scholar 

  19. Petty, R.E., Cacioppo, J.T., Goldman, R.: Personal involvement as a determinant of argument-based persuasion. Journal of Personality and Social Psychology 41(5), 847–855 (1981)

    Article  Google Scholar 

  20. DeLone, W., McLean, E.: The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems 19(4), 9–30 (2003)

    Google Scholar 

  21. Ogara, S., Koh, C., Prybutok, V.: Investigating factors affecting social presence and user satisfaction with Mobile Instant Messaging. Computers in Human Behavior 36(2), 453–459 (2014)

    Article  Google Scholar 

  22. Zhou, T., Lu, Y.: Examining mobile instant messaging user loyalty from the perspectives of network externalities and flow experience. Computers in Human Behavior 27(2), 883–889 (2011)

    Article  Google Scholar 

  23. Barker, V.: Older Adolescents’ Motivations for Social Network Site Use: The Influence of Gender, Group Identity, and Collective Self-Esteem. CyberPsychology & Behavior 12, 209–213 (2009)

    Article  Google Scholar 

  24. DeLone, W., McLean, E.: The DeLone and McLean Model of Information Systems Success: A Ten-Year Update. Journal of Management Information Systems 19(4), 9–30 (2003)

    Google Scholar 

  25. Jones, M.A., Mothersbaugh, D.L., Beatty, S.E.: Why customers stay: Measuring the underlying dimensions of services switching costs and managing their differential strategic outcomes. Journal of Business Research 55(6), 441–450 (2002)

    Article  Google Scholar 

  26. Cheung, C., Chiu, P., Lee, M.: Online social networks: Why do students use facebook? Computers in Human Behavior 27(4), 1337–1343 (2011)

    Article  Google Scholar 

  27. Chang, Y.-P., Zhu, D.-H.: Understanding social networking sites adoption in China: A comparison of pre-adoption and post-adoption. Computers in Human Behavior 27(5), 1840–1848 (2011)

    Article  Google Scholar 

  28. Hung, S., Ku, C., Chang, C.: Critical factors of WAP services adoption and empirical study. Electronic Commerce Research and Applications 2(1), 42–60 (2003)

    Article  Google Scholar 

  29. Chang et al. (2009)

    Google Scholar 

  30. Shapiro, C., Varian, H.: Information rules: A strategic guide to the network economy. HBS Press, Cambridge (1998)

    Google Scholar 

  31. Arroyo-Barrigüete, J., Ernst, R., López-Sánchez, J., Orero-GiménezOn, A.: On the identification of critical mass in Internet-based services subject to network effects. The Service Industries Journal 30(5), 643–654 (2010)

    Article  Google Scholar 

  32. Park, N., Kee, K.F., Valenzuela, S.: Being immersed in social networking environment: Facebook groups, uses and gratifications, and social outcomes. CyberPsychology, Behavior 12(6), 729–733 (2009)

    Article  Google Scholar 

  33. Ghani, J.A., Deshpande, S.P.: Task characteristics and the experience of optimal flow in human-computer interaction. Journal of Psychology 128(4), 381–391 (1994)

    Article  Google Scholar 

  34. Hsu, C.L., Lu, H.P.: Why do people play on-line games? An extended TAM with social influences and flow experience. Information, Management 41(7), 853–868 (2004)

    Article  Google Scholar 

  35. Hair, J.F., Hult, G.T.M., Ringle, C.M., Sarstedt, M.: A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Sage. Thousand Oaks (2013)

    Google Scholar 

  36. Chin, W.W.: Commentary: issues and option on structural equation modeling. MIS Quarterly 22(1), vii–xvi (1998)

    MathSciNet  Google Scholar 

  37. Bagozzi, R.P., Yi, Y.: On the evaluation of structural equation models. Journal of the Academy of Marketing Science 16(1), 74–94 (1988)

    Article  Google Scholar 

  38. Fornell, C.A., Larcker, D.: Evaluating structural equations models with unobservable variables and measurement error. Journal of Marketing Research 18(1), 39–50 (1981)

    Article  Google Scholar 

  39. Williams, Clippinger (2002)

    Google Scholar 

  40. Ringle, C.M., Wende, S., Will, A.: SmartPLS 3.0 (2014). www.pls-sem.com

  41. Ping, R.A.: The effects of satisfaction and structural constraints on retailer exiting, voice, loyalty, opportunism, and neglect. Journal of Retailing 69(3), 320–352 (1993)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Oriental Institute of Technology, Taipei, 22061, Taiwan

    Avus C. Y. Hou

Authors
  1. Avus C. Y. Hou
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Avus C. Y. Hou .

Editor information

Editors and Affiliations

  1. National University of Kaohsiung, Kaohsiung City, Taiwan

    Leon Wang

  2. Matsuyama University, Matsuyama, Japan

    Shiro Uesugi

  3. National University of Kaohsiung, Kaohsiung City, Taiwan

    I-Hsien Ting

  4. Osaka University, Osaka, Japan

    Koji Okuhara

  5. National University of Kaohsiung, Kaohsiung City, Taiwan

    Kai Wang

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Hou, A.C.Y. (2015). Switching Motivations on Instant Messaging: A Study Based on Two Factor Theory. In: Wang, L., Uesugi, S., Ting, IH., Okuhara, K., Wang, K. (eds) Multidisciplinary Social Networks Research. MISNC 2015. Communications in Computer and Information Science, vol 540. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48319-0_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-48319-0_1

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48318-3

  • Online ISBN: 978-3-662-48319-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation