DOI QR코드

DOI QR Code

Factors Affecting Individuals' Intentions to Discontinue Social Network Services Use

  • Kyungja Park (Department of Cultural Contents, Chonnam National University) ;
  • Joon Koh (College of Business Administration, Chonnam National University)
  • Received : 2018.02.09
  • Accepted : 2018.03.12
  • Published : 2018.03.30

Abstract

This study uses the concepts of mental accounting and coupling in consumption to demonstrate a systematic relationship between behavioral costs, sunk costs, coupling, and user intention to discontinue social network services (SNS) use. An analysis of 213 SNS users found that coupling and sunk costs are two major factors that influence an individual's intention to discontinue SNS use. An interesting finding of this study is that the perception of coupling is created by behavioral costs in the context of an SNS. This finding implies that the source of cost perception when perceiving coupling may differ depending on whether the product or service is traditional or web-based. These results contribute to an expansion of the theoretical discussion of individual-level discontinuance intention after adopting SNS by conceptualizing the perception of coupling.

Keywords

References

  1. Alok, G., Leigh, L. L., Dale, .O. S., and Andrew, B. W. (2001). Benefits and Costs of Adopting Usage Based pricing in a subnetwork. Information Technology & Management, 2(2), 175-191. 
  2. Arkes, H. R., and Blumer, C. (1985). The Psychology of Sunk Cost. Organizational Behavior and Human Decision Processes, 35(1), 124-140. 
  3. Bagozzi, R. P., and Yi, Y. (1988). On the Evaluation of Structural Equation Models. Journal of the Academy of Marketing Science, 16(1), 74-94. 
  4. Bevan, J. L., Gomez, R., and Sparks, L. (2014). Disclosures about Important Life Events on Facebook: Relationships with Stress and Quality of Life. Computers in Human Behavior, 39, 246-253. 
  5. Bhattacherjee, A. (2001). Understanding Information Systems Continuance: An Expectation-Confirmation Model. MIS Quarterly, 25(3), 351-370. 
  6. Bhattacherjee, A., and Premkumar, G. (2004). Understanding Changes in Belief and Attitude toward Information Technology Usage: A Theoretical Model and Longitudinal Test. MIS Quarterly, 28(2), 229-254. 
  7. Bhattacherjee, A., Limayem, M., and Cheung, C. M. K. (2012). User Switching of Information Technology: A Theoretical Synthesis and Empirical Test. Information & Management, 49(7/8), 327-333. 
  8. Black, W. (1983). Discontinuance and Diffusion: Examination of the Post Adoption Decision Process. Advances in Consumer Research, 10(1), 356-361. 
  9. Bovey, W. H., and Hede, A. (2001). Resistance to Organizational Change: The Role of Defense Mechanisms. Journal of Managerial Psychology, 6(7), 534-548. 
  10. Fornell, C., and Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Errors. Journal of Marketing Research, 18(1), 39-50. 
  11. Fox, J., and Moreland, J. J. (2015). The Dark Side of Social Networking Sites: An Exploration of The Relational and Psychological Stressors Associated with Facebook Use and Affordances. Computers in Human Behavior, 45, 168-176. 
  12. Frank, R. H. (1994). Microeconomics and Behavior. McGraw-Hill, New York. 
  13. Garland, H. (1990). Throwing Good Money after Bad: The Effect of Sunk Costs on the Decision to Escalate Commitment to an Ongoing Project. Journal of Applied Psychology, 75(6), 728-73. 
  14. Garland, H., and Newport, S. (1991). Effects of Absolute and Relative Sunk Costs on The Decision to Persist with A Course of Action. Organizational Behavior and Human Decision Processes, 48(1), 55-69. 
  15. Gourville, J. T., and Soman, D. (1998). Payment Depreciation: The Behavioral Effects of Temporally Separating Payments from Consumption. Journal of Consumer Research, 25(2), 160-174. 
  16. He. W., Wang, F. K., Chen, Y., and Zha, S. (2015). An Exploratory Investigation of Social Media Adoption by Small Businesses. Information Technology Management, 5(Jul), 1-12. 
  17. Hsu, M. H., Chiu, C. M., and Ju, T. L. (2004). Determinants of Continued Use of the www: An Integration of Two Theoretical Models. Management & Data Systems, 104(9), 766-775. 
  18. Kahneman D., and Tversky, A. (1984). Choices, Values and Frames. American Psychologist, 39(4), 341-350. 
  19. Kim, H. W., and Kankanhalli, A. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567-582. 
  20. Kim, H. W., Chan, H. C., and Gupta, S. (2007). Value-Based Adoption of Mobile Internet: An Empirical Investigation. Decision Support Systems, 43(1), 111-126. 
  21. Koch, H., Gonzalez, E., and Leidner, D. (2012). Bridging the Work/Social Divide: The Emotional Response to Organizational Social Networking Sites. European Journal of Information Systems, 21(6), 699-717. 
  22. Koh, J., Kim, Y. G., Brian, B., and Bock, G. W. (2007). Encouraging Participation in Virtual Communities. Communications of the ACM, 50(2), 68-73. 
  23. Lai, A. W. (1995). Consumer Values, Product Benefits and Customer Value: A Consumption Behavior Approach. Advances in Consumer Research, 22(1), 381-388. 
  24. Lending, D., and Straub, D. (1997). Impacts of an Integrated Information Center on Faculty End-Users: A Qualitative Assessment. Journal of the American Society for Information Science, 48(5), 466-471. 
  25. Liao, C., Chen, J. L., and Yen, D. C. (2007). Theory of Planning Behavior (TPB) and Customer Satisfaction in the Continued Use of E-Service: An Integrated Model. Computers in Human Behavior, 23(6), 2804-2822. 
  26. Lin, C. S., Wu, S., and Tsai, R. J. (2005). Integrating Perceived Playfulness into Expectation-Confirmation Model for Web Portal Context. Information & Management, 42(5), 683-693. 
  27. Lu, J., and Kim, J. (2016). An Empirical Study of Knowledge Sharing Behavior of the SNS: A Case Study of "Sina Weibo". Asia Pacific Journal of Information Systems, 26(3), 367-384. 
  28. Middleton, C., Scheepers, R., and Tuunanen, V. K. (2014). When Mobile is the Norm: Researching Mobile Information Systems and Mobility as Post-Adoption Phenomena. European Journal of Information Systems, 23(5), 503-512. 
  29. Mouakket, S. (2015). Factors Influencing Continuance Intention to Use Social Network Sites: The Facebook. Computers in Human Behavior, 53, 102-110. 
  30. Okada, E. M. (2001). Trade-Ins, Mental Accounting, and Product Replacement Decisions. Journal of Consumer Research, 27(4), 433-446. 
  31. Park, S. C. (2016). Deciding to Update Mobile Applications: Reasons and Consequences of Inertia. Asia Pacific Journal of Information Systems, 26(2), 268-289. 
  32. Podsakoff, P. M., MacKenzie, S. B., Lee, J. Y., and Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychologyl, 88(5), 879-903. 
  33. Prelec, D., and Loewenstein, G. (1998). The Red and the Black: Mental Accounting of Savings and Debt. Marketing Science, 17(1), 4-28. 
  34. Recker, J. (2014). Towards A Theory of Individual-Level Discontinuance of Information Systems Use. Proceedings of International Conference on Information, Associations for Information Systems, Auckland, New Zealand. 
  35. Roca, J. C., Chiu, C. M., and Martinez, F. J. (2006). Understanding E-Learning Continuance Intention: An Extension of the Technology Acceptance Model. International Journal of Human-Computer Studies, 64(8), 683-696. 
  36. Rogers, E. M. (1995). Diffusion of Innovation. The Free Press, New York. 
  37. Soman, D., and Gourville, J. T. (2001). Transaction Decoupling: How Price Bundling Affects the Decision to Consume. Journal of Marketing Researches, 38(1), 30-44. 
  38. Thaler, R. H. (1980). Toward a Positive Theory of Consumer Choice. Journal of Economic Behavior and Organization, 1(1), 39-60. 
  39. Thaler, R. H. (1999). Mental Accounting Matters. Journal of Behavioral Decision Making, 12(3), 183-206. 
  40. Tversky, A., and Kahneman, D. (1981). The Framing of Decisions and the Psychology of Choice. Science, New Series, 211(4481), 453-458. 
  41. Verhallen Theo, M. M., and Pieters Rik, G. M. (1984). Attitude Theory and Behavioral Costs. Journal of Economic Psychology, 5(3), 223-249. 
  42. Verhallen Theo, M. M., and van Raaij, W. F. (1986). How Consumers Trade off Behavioral Costs and Benefits. European Journal of Marketing, 20(3/4), 19-34. 
  43. Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality and Value: A Means-End Model and Synthesis of Evidence. Journal of Marketing, 52(3), 2-22.