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博碩士論文 etd-0507117-200106 詳細資訊
Title page for etd-0507117-200106
論文名稱
Title
探討不同轉換動機、轉換成本情境下之後悔程度及後續行為
Exploring the Impact of Switching Motivation and Switching Cost on Regret and Following Consequences
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
76
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2017-07-12
繳交日期
Date of Submission
2017-09-12
關鍵字
Keywords
轉換後行為、後悔、網路服務供應商、推拉繫住力理論、轉換成本
Push-pull-mooring model, Post-switching behavior, Internet service provider, Switching cost, Regret
統計
Statistics
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The thesis/dissertation has been browsed 6003 times, has been downloaded 43 times.
中文摘要
隨著網路的發達,使用網路的人數逐年上升,為了因應大眾不同的需求,網路服務供應商也逐漸得越來越多。而網路服務供應商的成長也使得了同業中的競爭更加的激烈,各家網路服務供應商分別祭出各種不同得方案,就為了留住原本的客戶以及吸引新的客群。因此,本篇論文將探討以下各種關聯(1)不同轉換動機與後悔程度、(2)轉換動機與轉換成本的交互作用與不同轉換動機產生之後悔程度的差異、(3)轉換後,後悔所導致的後續行為。此研究採用「推拉繫住力理論」中的推力以及拉力效應來將顧客的轉換動機做簡單的分類,接著再使用兩種不同的轉換成本,分別是貨幣損失成本、經濟風險成本來作為轉換過程的繫住力,整合兩種因素來設計不同的情境以了解不同狀況下的後悔程度。再者,也採用了後悔理論來探討轉換後產生之負面情緒及後悔之後的顧客行為,加入了持續使用意圖、轉換回原本服務供應商的意圖以及傳遞負面訊息三種不同的後續行為來做初步的研究。研究結果顯示,因為誘因而轉換的顧客會比因為受不了原服務的缺點而轉換的人還後悔,而當貨幣損失成本較高的時候,轉換動機與貨幣損失成本的交互作用反而會降低兩種不同轉換動機之後悔程度的差異。最後,結果也顯示出,覺得後悔的顧客的確會做出不利於網路服務供應商的行為。
Abstract
With the popularity of the Internet, the number of Internet users has grown rapidly. To satisfy the demand of the users, the number of Internet Service Providers has increased. Increasingly, strategies have been developed to attract and keep customers. Therefore, this thesis will investigate the associations of (1) different driving forces and regret, (2) the interactions of driving forces and switching costs and the difference between the push and pull groups, and (3) the following behaviors after regret. This research uses the push and pull effect of the push-pull-mooring model to distinguish the switch intention of the customer. Additionally, it applies both monetary loss cost and economic risk cost as mooring factors in the switching process. Combining these two constructs to observe the level of regret while in different circumstances. Furthermore, there the following three behaviors are used in this study: continuance intention, switch back intention, and negative word of mouth. The results of this research are: (1) Customers driven by the pull effect will feel more regret than customers driven by the push effect. (2) The interaction of driven forces and monetary loss cost will reduce the difference of regret between the push and pull group while monetary loss cost is higher. (3) Regret will bring customer negative behaviors to an Internet Service Provider.
目次 Table of Contents
Table of Contents
論文審定書 i
中文摘要 ii
Abstract iii
Table of Contents iv
List of Figures vi
List of Tables vii
Chapter 1 Introduction 1
1.1 Research Background 1
1.2 Research Motivation 2
1.3 Research Purpose 3
Chapter 2 Theoretical Background and Literature Review 5
2.1 Customer Service Switching 5
2.2 Push-Pull-Mooring Model 6
2.2.1 Push Effect 7
2.2.2 Pull Effect 7
2.2.3 Mooring Effect 8
2.3 Regret Theory 14
Chapter 3 Research Model and Hypotheses 16
3.1 Research Model 16
3.2 Hypotheses Development 17
3.3 Operational Definitions 23
3.5 Measurement 27
3.6 Sampling and Data Collection 29
Chapter 4 Data Analysis 31
4.1 Manipulation Check 31
4.2 Demographic Statistics 32
4.3 Measurement Validation 35
4.3.1 Common Method Variance 35
4.3.2 Reliability and Validity 38
4.4 Hypotheses Testing 41
4.5 Discussions 45
4.5.1 The Influences on Regret 45
4.5.2 Customer’s Following Behaviors after Regret 46
4.5.3 Regret and Expectation Disconfirmation Theory (EDT) 46
Chapter 5 Conclusion and Implication 48
5.1 Summary 48
5.2 Contribution 50
5.3 Limitation and Suggestions for Future Study 52
Reference 54
Appendix 59
參考文獻 References
Aaker, D. A. (1992). The value of brand equity. Journal of business strategy, 13(4), 27-32.
Alba, J. W., & Hutchinson, J. W. (1987). Dimensions of consumer expertise. Journal of Consumer Research, 13(4), 411-454.
Anderson, E. W. (1998). Customer satisfaction and word of mouth. Journal of Service Research, 1(1), 5-17.
Aydin, S., & Özer, G. (2006). How switching costs affect subscriber loyalty in the Turkish mobile phone market: An exploratory study. Journal of Targeting, Measurement and Analysis for Marketing, 14(2), 141-155.
Bansal, H. S., Taylor, S. F., & James, Y. S. (2005). "Migrating" to new service providers: Toward a unifying framework of consumers' switching behaviors. Journal of the Academy of Marketing Science, 33(1), 96-115. doi:Doi 10.1177/0092070304267928
Bell, D. E. (1982). Regret in decision making under uncertainty. Operations research, 30(5), 961-981.
Berry, L. L. (1980). Services Marketing Is Different. Business, 30(3), 24-29.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. Mis Quarterly, 351-370.
Bogue, D. J. (1969). Principles of demography. Retrieved from
Bogue, D. J. (1977). A Migrant’s-Eye View of the Costs and Benefits of Migration to a Metropolis. Internal migration: A comparative perspective, 167-182.
Bougie, R., Pieters, R., & Zeelenberg, M. (2003). Angry customers don't come back, they get back: The experience and behavioral implications of anger and dissatisfaction in services. Journal of the Academy of Marketing Science, 31(4), 377-393.
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(2), 109-126.
Chang, I. C., Liu, C. C., & Chen, K. C. (2014). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24(4), 323-346. doi:10.1111/isj.12030
Chiu, H.-C., Hsieh, Y.-C., Li, Y.-C., & Lee, M. (2005). Relationship marketing and consumer switching behavior. Journal of Business Research, 58(12), 1681-1689.
Fornell, C. (1992). A national customer satisfaction barometer: The Swedish experience. The journal of marketing, 6-21.
Fornell, C., & Bookstein, F. L. (1982). Two structural equation models: LISREL and PLS applied to consumer exit-voice theory. Journal of Marketing Research, 440-452.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of Marketing Research, 382-388.
Grønhaug, K., & Gilly, M. C. (1991). A transaction cost approach to consumer dissatisfaction and complaint actions∗. Journal of Economic Psychology, 12(1), 165-183.
Guiltinan, J. P. (1989). A classification of switching costs with implications for relationship marketing. Paper presented at the AMA winter educators’ conference: Marketing theory and practice.
Hair, J. F., Black, W. C., Babin, B. J., Anderson, R. E., & Tatham, R. L. (1998). Multivariate data analysis (Vol. 5): Prentice hall Upper Saddle River, NJ.
Han, H., Kim, W., & Hyun, S. S. (2011). Switching intention model development: Role of service performances, customer satisfaction, and switching barriers in the hotel industry. International Journal of Hospitality Management, 30(3), 619-629. doi:10.1016/j.ijhm.2010.11.006
Heide, J. B., & Weiss, A. M. (1995). Vendor consideration and switching behavior for buyers in high-technology markets. The journal of marketing, 30-43.
Hou, A. C., Shang, R.-A., Huang, C.-C., & Wu, K.-L. (2014). The effects of Push-pull-mooring on the Switching Model for Social Network sites Migration. Paper presented at the PACIS.
Hsieh, J. K., Hsieh, Y. C., Chiu, H. C., & Feng, Y. C. (2012). Post-adoption switching behavior for online service substitutes: A perspective of the push-pull-mooring framework. Computers in Human Behavior, 28(5), 1912-1920. doi:10.1016/j.chb.2012.05.010
Hsu, J. S.-C. (2014). Understanding the role of satisfaction in the formation of perceived switching value. Decision Support Systems, 59, 152-162.
Inman, J. J., Dyer, J. S., & Jia, J. M. (1997). A generalized utility model of disappointment and regret effects on post-choice valuation. Marketing Science, 16(2), 97-111. doi:Doi 10.1287/Mksc.16.2.97
Jackson, B. B., & Bund, B. (1985). Winning and keeping industrial customers: The dynamics of customer relationships: Free Press.
Jones, M. A., Mothersbaugh, D. L., & Beatty, S. E. (2002). 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.
Keaveney, S. M. (1995). Customer Switching Behavior in-Service Industries - an Exploratory-Study. Journal of Marketing, 59(2), 71-82. doi:Doi 10.2307/1252074
Kim, G., Shin, B., & Lee, H. G. (2006). A study of factors that affect user intentions toward email service switching. Information & Management, 43(7), 884-893.
Lai, J.-Y., & Wang, J. (2015). Switching attitudes of Taiwanese middle-aged and elderly patients toward cloud healthcare services: An exploratory study. Technological Forecasting and Social Change, 92, 155-167.
Landman, J. (1987). Regret and Elation Following Action and Inaction - Affective Responses to Positive Versus Negative Outcomes. Personality and Social Psychology Bulletin, 13(4), 524-536. doi:Doi 10.1177/0146167287134009
Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47-57.
Lewis, G. J. (1982). Human migration : a geographical perspective. New York: St. Martin's Press.
Lindell, M. K., & Whitney, D. J. (2001). Accounting for common method variance in cross-sectional research designs. Journal of Applied Psychology, 86(1), 114.
Liu, C.-h. (2015). Understanding the Impacts of Switching Motivation and Problem Types on the Feeling of Regret: An Example of Switching Internet Service Provider.
Loomes, G., & Sugden, R. (1982). Regret theory: An alternative theory of rational choice under uncertainty. The economic journal, 92(368), 805-824.
Luce, R. D., & Raiffa, H. (2012). Games and decisions: Introduction and critical survey: Courier Corporation.
Malhotra, A., & Malhotra, C. K. (2013). Exploring switching behavior of US mobile service customers. Journal of Services Marketing, 27(1), 13-24. doi:10.1108/08876041311296347
Malhotra, N. K., Kim, S. S., & Patil, A. (2006). Common method variance in IS research: A comparison of alternative approaches and a reanalysis of past research. Management Science, 52(12), 1865-1883.
Moon, B. (1995). Paradigms in migration research: exploring "moorings" as a schema. Prog Hum Geogr, 19(4), 504-524.
Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. The journal of marketing, 20-38.
Oliver, R. L. (1977). Effect of Expectation and Disconfirmation on Postexposure Product Evaluations - Alternative Interpretation. Journal of Applied Psychology, 62(4), 480-486. doi:Doi 10.1037//0021-9010.62.4.480
Podsakoff, P. M., MacKenzie, S. B., Lee, J.-Y., & Podsakoff, N. P. (2003). Common method biases in behavioral research: a critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879.
Podsakoff, P. M., Todor, W. D., Grover, R. A., & Huber, V. L. (1984). Situational moderators of leader reward and punishment behaviors: Fact or fiction? Organizational behavior and human performance, 34(1), 21-63.
Ranganathan, C., Seo, D., & Babad, Y. (2006). Switching behavior of mobile users: do users' relational investments and demographics matter? European Journal of Information Systems, 15(3), 269-276. doi:10.1057/palgrave.ejis.3000616
Ravald, A., & Grönroos, C. (1996). The value concept and relationship marketing. European Journal of Marketing, 30(2), 19-30.
Reynolds, R. W., Calvano, S., Harris, D. R., & Keith, L. D. (1983). Rapid corticosterone pulses: confirmation by an alleged disconfirmation? Steroids, 42(3), 249-252.
Saffrey, C., Summerville, A., & Roese, N. J. (2008). Praise for regret: People value regret above other negative emotions. Motivation and emotion, 32(1), 46-54.
Samuelson, W., & Zeckhauser, R. (1988). Status quo bias in decision making. Journal of risk and uncertainty, 1(1), 7-59.
Schjoedt, L., & Shaver, K. G. (2007). Deciding on an entrepreneurial career: A test of the pull and push hypotheses using the panel study of entrepreneurial dynamics data1. Entrepreneurship theory and practice, 31(5), 733-752.
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(5), 470-490.
Singh, J. (1988). Consumer complaint intentions and behavior: definitional and taxonomical issues. The journal of marketing, 93-107.
Stimson, R. J., & Minnery, J. (1998). Why people move to the'sun-belt': A case study of long-distance migration to the Gold Coast, Australia. Urban Studies, 35(2), 193-214.
Straub, D., Boudreau, M.-C., & Gefen, D. (2004). Validation guidelines for IS positivist research. The Communications of the Association for Information Systems, 13(1), 63.
Taylor, K. (1997). A regret theory approach to assessing consumer satisfaction. Marketing letters, 8(2), 229-238.
Tronvoll, B. (2011). Negative emotions and their effect on customer complaint behaviour. Journal of Service Management, 22(1), 111-134.
Tsiros, M., & Mittal, V. (2000). Regret: A model of its antecedents and consequences in consumer decision making. Journal of Consumer Research, 26(4), 401-417. doi:Doi 10.1086/209571
Turel, O., Serenko, A., & Giles, P. (2011). Integrating technology addiction and use: An empirical investigation of online auction users. Mis Quarterly, 35(4), 1043-1062.
Wu, Y.-L., Tao, Y.-H., Li, C.-P., Wang, S.-Y., & Chiu, C.-Y. (2014). User-switching behavior in social network sites: A model perspective with drill-down analyses. Computers in Human Behavior, 33, 92-103.
Ye, C. (2009). Post-adoption switching of personal information technologies: A push-pull-mooring-habit model: University of Illinois at Chicago.
Ye, C., & Potter, R. (2007). The role of habit in post-adoption switching of personal information technologies: A push, pull and mooring model.
Ye, C., & Potter, R. (2011). The role of habit in post-adoption switching of personal information technologies: an empirical investigation.
Ye, C., Seo, D., Desouza, K. C., Sangareddy, S. P., & Jha, S. (2008). Influences of IT substitutes and user experience on post‐adoption user switching: An empirical investigation. Journal of the American Society for Information Science and Technology, 59(13), 2115-2132.
Yen, A. C. (2000). Internet service provider liability for subscriber copyright infringement, enterprise liability, and the first amendment. Georgetown Law Journal, 88(6), 1833-1893.
Zeelenberg, M., & Pieters, R. (2004). Beyond valence in customer dissatisfaction: A review and new findings on behavioral responses to regret and disappointment in failed services. Journal of Business Research, 57(4), 445-455. doi:10.1016/S0148-2963(02)00278-3
Zeelenberg, M., Van Dijk, W. W., Manstead, A. S., & vanr de Pligt, J. (2000). On bad decisions and disconfirmed expectancies: The psychology of regret and disappointment. Cognition & Emotion, 14(4), 521-541.
Zeithaml, V. A., Parasuraman, A., & Berry, L. L. (1985). Problems and strategies in services marketing. The journal of marketing, 33-46.
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