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博碩士論文 etd-0631119-162414 詳細資訊
Title page for etd-0631119-162414
論文名稱
Title
探討現有網路購物平台的使用慣性對新網路購物平台之認知及使用意圖的影響-以Line購物為例
Explore The Inertia of Existing Online Shopping Platforms and The Impact on Perception and Intention of Using New Online Shopping Platform - Take Line Shopping As Example
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
89
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
2019-07-22
繳交日期
Date of Submission
2019-07-31
關鍵字
Keywords
互補性、轉換成本、網路購物平台、慣性、顧客忠誠度、便利
Complementarity, Inertia, Online Shopping Platform, Switching Costs, Convenience, Customer Loyalty
統計
Statistics
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中文摘要
本研究旨在探討「慣性」的形成以及使用者在慣性產生後對不同網路購物平台轉換的影響。本研究中將慣性定義為「某種習慣性,當使用者已經長時間習慣某種特定行為後,會無意識的從事其行為,且即使有更好的選擇出現,也不會讓使用者產生轉換意圖」。本研究將分成兩個部份驗證。首先探討另使用者產生慣性的因素,本研究將「轉換成本」、「顧客忠誠度」和「認知網路規模」列為慣性形成的主要因素;而在第二部份,則探討使用者產生慣性時對新平台轉換的影響,本研究認為使用者會因「認知失調理論」降低使用者對新網路購物平台「互補性」的認知。而「便利」則會提升轉換至新平台的意圖,至於控制變數的部分,本研究將「習慣」以及「認知易用性」列入討論,但由於過去許多研究有探討過這兩個變數的重要性,因此本研究並不作深入探討,並將此變數列為控制變數。
本研究問卷以臉書為主要發放管道,並以LINE購物為新平台,調查使用者對於其偏好以及在認知LINE購物的特點後是否有轉換意圖。本研究結果如下:第一部分中轉換成本、顧客忠誠度以及認知網路規模對慣性皆呈現正向且顯著的影響。而在第二部分,慣性對新網路購物平台的採用呈現顯著的負向影響,但對便利及認知互補性則有正向且顯著的影響,此外,這兩個變數對新網路購物平台的採用則皆有顯著的正向影響。至於控制變數方面,習慣和認知易用性皆對慣性有正向顯著影響。
Abstract
This study explores the impact of "inertia" on the conversion of different online shopping platforms in an empirical implication. Inertia means “users are willing to use the current system continuously, even if there is a better alternative, they will not convert.” In our research, the verification is divided into two parts. First part explores the factors that users will generate inertia. Our study considers that "switching costs", "customer loyalty" and "perceived network size" are the main factors that form inertia. In second part, it explores the impact of the user's inertia on the conversion of the new platform. Our study suggests that users will reduce the cognition of complementarity of new platform because of dissonance theory and self-perception theory. Yet, convenience will raise the intention of switching to new platform.
The two control variables, habit and perceived ease of use, have verified in many studies in the past, therefore, it is not thoroughly discussed in this study. However, these variables cannot be ignored as well, so we put these variables as control variables in this study.
目次 Table of Contents
論文審定書 i
Acknowledgements ii
摘要 iii
Abstract iv
Table of Contents v
List of Figures vii
List of Tables viii
Introduction 1
Background 1
Research Motivation 3
Purpose and Frame 5
Literature Review 9
Inertia 12
Factors of Inertia Forming 19
Impact of Inertia on Cognition of New Platform 26
Research Methodology 31
Research Model 31
Hypothesis 32
Definition and Operationalization of Research Variables 39
Research Design 45
Data analysis 46
Sample Basic Data Analysis 46
Verification of Model and Hypothesis 50
Conclusion and Recommendation 61
Discussion of The Study 61
Implication of The Findings 65
Limitation and Future Research 68
Reference 70
Appendix 76
參考文獻 References
English
Anderson, J. C, & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach. Psychological bulletin, 103(3), 411-423.
Anderson, R. E., & Srinivasan, S. S. (2003). E-satisfaction and e-loyalty: A contingency framework. Psychology and Marketing, 20(2), 123–138. doi:10.1002/mar.10063.
Baksi, D. A., & Parida, P. (2012). Exploring The Moderating Effects Of Relationship Inertia And Switching Cost On Automated Service Quality-Customer Satisfaction-Retention Link In A Crm Ecosystem: Empirical Evidence From Indian Banking Industry. Paradigm, 16(1), 51-69. doi:10.1177/0971890720120107
Barnes, W. G. M. & Stack, Martin. (2004). Old Habits Die Hard: Path Dependency and Behavioral Lock-in. Journal of Economic Issues (Association for Evolutionary Economics), 38(2), 371-377.
Beatty, S. E. & Smith, S. M. (1987). External Search Effort: An Investigation across Several Product Categories. Journal of Consumer Research, 14(1), 83-95.
Bhattacherjee, A. (2001). Understanding information systems continuance: an expectation-confirmation model. MIS quarterly, 25(3), 351-370
Bhatnagar, A., Misra S., Rao R H. (2000, Nov). Association for Computing Machinery. Communications of the ACM, ABI/INFORM Global pp. 98
Buchanan, J. M. (1962). Externality. Economica, 29(116), 371-384.
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.
Butler, P. & Peppard, J. (1998). Consumer purchasing on the internet: processes and prospects, European Management Journal, 15(6), 600-10
Chaudhuri, A., & Holbrook, M. B. (2001). The Chain of Effects from Brand Trust and Brand Affect to Brand Performance: The Role of Brand Loyalty. Journal of Marketing, 65(2), 81-93. doi:10.1509/jmkg.65.2.81.18255
Chen, C. S. & Hung, C. P. (2012). The Behavior Research of Social Networking Sites for College Students. Journal of China University of Science and Technology, 150, 127~146.
Chin, W. W., Marcolin, B. L. & Newsted, P. R. (2003). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and an electronic-mail emotion/adoption study. Information Systems Research, 14(2), 189-217.
Colgate, M., Lang, B. (2001) Switching barriers in customer markets: An investigation of the financial services industry. Journal of Customer Marketing, 18(4), 332-347.
Copeland, M.T. (1923), “Relation of consumers’ buying habits to marketing methods”, Harvard Business Review, 1(2), 282-289.
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340.
Dennis, C., Merrilees, B., Jayawardhena, C. & Wright, L. T. (2009). E‐consumer behavior. European Journal of Marketing, 43(9/10), 1121-1139. doi:10.1108/03090560910976393
Dehghan, A., & Shahin, A. (2011). Customer Loyalty Assessment-A Case Study in MADDIRAN, the Distributor of LG Electronics in Iran. Business Management and Strategy, 2(1), 2.doi:10.5296/bms.v2i1.628
Diamantopoulos, A. & Siguaw, J. A. (2006). Formative versus reflective indicators in organizational measure development: a comparison and empirical illustration. British Journal of Management, 17(4), 263-282.
Dick, A.S. & Basu, K. (1994). Customer Loyalty: Toward an Integrated Conceptual Framework. Journal of Academy of Marketing Science, 22(2), 99-113.
Eddie Ed, H. & Judson Ed, M. (1999). Cognitive dissonance: Progress on a pivotal theory in social psychology. Paper presented at the Scientific Conferences Program, 1997, U Texas, Arlington, TX, US; This volume is based on papers presented at a 2-day conference at the University of Texas at Arlington, winter 1997.
Eckardt, M. (2008). The quality of insurance intermediary service-empirical evidence for Germany. Rostock: Rostock University: Working paper 50.
Engel, J. F., Kollat, D., & Blackwell, R. D. (1982). Consumer behavior. New
York: Dryden Press
Ergün, G. & Stopher, P. R. (1999). Captivity Revisited. Journal of Transportation Engineering, 125(1), 1.
Festinger, L. (1957). A Theory of Cognitive Dissonance. Stanford, California: Stanford University Press.
Fornell, C., & Larcker, D. F. (1981). Structural equation models with unobservable variables and measurement error: Algebra and statistics. Journal of marketing research, 18(3), 382-388.
Hannan, M. T., & Freeman, J. (1984). Structural inertia and organizational change. American Sociological Review, 49(2), 149-164.
Hennig-Thurau, T. (2000). Relationship Quality and Customer Retention through Strategic Communication of Customer Skills. Journal of Marketing Management, 16(1-3), 55-79.
ITU World Telecommunication/ ICT indicators database. (2018). Retrieved from https://www.itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
Jermias, J. (2001). Cognitive dissonance and resistance to change: the influence of commitment confirmation and feedback on judgment usefulness of accounting systems. Accounting, Organizations and Society, 26(2), 141-160.
Jiang, L. (Alice), Yang, Z., & Jun, M. (2013). Measuring consumer perceptions of online shopping convenience. Journal of Service Management, 24(2), 191–214.doi:10.1108/09564231311323962
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. doi:10.1016/S0148-2963(00)00168-5
Katz, M. L, & Shapiro, Carl. (1986). Technology adoption in the presence of network externalities. The journal of political economy, 94(4), 822-841.
Katz, M. L., & Srapiro, Carl. (1985). Network Externalities, Competition, and Compatibility. American Economic Review, 75(3), 424.
Kim, & Kankanhalli. (2009). Investigating User Resistance to Information Systems Implementation: A Status Quo Bias Perspective. MIS Quarterly, 33(3), 567. doi:10.2307/20650309
Kim, M., Park, M., & Jeong, D. (2004). The effects of customer satisfaction and switching barrier on customer loyalty in Korean mobile telecommunication services. Telecommunications Policy, 28(2), 145-159. doi:10.1016/j.telpol.2003.12.003
Klemperer, P. (1987). Markets with consumer switching costs. Quarterly Journal of Economics, 102(5), 375-394
Kotler, P. (2003). Marketing management (11th ed.). New Jersey: Prentice Hall.
Kuo, Y., Hu, T., & Yang, S. (2013). Effects of inertia and satisfaction in female online shoppers on repeat‐purchase intention. Managing Service Quality: An International Journal, 23(3), 168–187.doi:10.1108/09604521311312219
Lai, L.H., Liu, C.T. & Lin, J.T., (2011). The moderating effects of switching costs and inertia on the customer satisfaction-retention link: Auto liability insurance service in Taiwan. Insurance Markets and Companies: Analyses and Actuarial Computations, 2(1), 69-78
Lee, J., Bharosa, N., Yang, J., Janssen, M., & Rao, H. R. (2011). Group value and intention to use — A study of multi-agency disaster management information systems for public safety. Decision Support Systems, 50(2), 404–414.doi:10.1016/j.dss.2010.10.002
Lee, R., & Neale, L. (2012). Interactions and consequences of inertia and switching costs. Journal of Services Marketing, 26(5), 365–374.doi:10.1108/08876041211245281
Limayem, H. & Cheung. (2007). How habit limits the predictive power of intention: the case of information systems continuance. MIS Quarterly, 31(4), 705-737.
Mascarenhas, O. A., Kesavan, R., & Bernacchi, M. (2006). Lasting customer loyalty: a total customer experience approach. Journal of Consumer Marketing, 23(7), 397-405. doi:10.1108/07363760610712939
Lin, C. P., Tsai, Y. H., Wang, Y. J. & Chiu, C. K. (2011). Modeling IT relationship quality and its determinants: A potential perspective of network externalities in e-service. Technological Forecasting and Social Change, 78(1), 171-184. doi: http://dx.doi.org/10.1016/j.techfore.2010.04.015
McMullan, R. (2005). A multiple-item scale for measuring customer loyalty development. Journal of Services Marketing, 19(7), 470-481. doi: 10.1108/08876040510625972
Newbert, S. L. (2008). Value, rareness, competitive advantage, and performance: a conceptual‐level empirical investigation of the resource‐based view of the firm. Strategic Management Journal, 29(7), 745-768.
Oliver, P., Marwell, G. & Teixeira, R. (1985). A Theory of the Critical Mass. I. Interdependence, Group Heterogeneity, and the Production of Collective Action. American Journal of Sociology, 91(3), 522-556. doi: 10.2307/2780201
Oliver, R. L. (1980). A cognitive model of the antecedents and consequences of satisfaction decisions. Journal of marketing research, 17(4), 460-469.
Oliver, R. L. (1999). Whence Consumer Loyalty? Journal of Marketing, 63(4), 33-44.
Oreg, S. (2003). Resistance to Change: Developing an Individual Differences Measuer. Journal of Applied Psychology, 88(4), 680-693.
Petty, R. E. & Cacioppo, J. T. (1984). The Effects of Involvement on Responses to Argument Quantity and Quality: Central and Peripheral Routes of Persuasion. Journal of Personality and Social Psychology, 46(1), 69-81.
Piderit, S. K. (2000). Rethinking resistance and recognizing ambivalence: a multidimensional view of attitudes toward an organizational change. Academy of Management Review, 25(4), 783-794. doi: 10.5465/AMR.2000.3707722
Polites, G. L. & Karahanna, E. (2012). Shackled to the status quo the inhibiting effects of incumbent system habit, switching costs, and inertia on new system acceptance. MIS Quarterly, 36, 21-42.
Porter, M.E. (1980). Competitive Strategy: Techniques for Analyzing Industries and Competitors: New York: Free Press.
Reichheld, F.F. & Schefter, P. (2000) E-Loyalty: Your Secret Weapon on the Web. Harvard Business Review, 78, 105-113.
Rohlfs, J. (1974). A Theory of Interdependent Demand for a Communications Service. The Bell Journal of Economics and Management Science, 5(1), 16-37. doi: 10.2307/3003090
Rust, R. T., Zeithaml, V. A., & Lemon, K. N. (2000). Driving customer equity: How customer lifetime value is reshaping corporate strategy. New York: Free Press.
Saadé, R. & Bahli, B. (2005). The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model. Information & Management, 42(2), 317-327. doi: 10.1016/j.im.2003.12.013
Samuelson, W., & Zeckhauser, R. (1988). Status Quo Bias in Decision Making. Journal of Risk and Uncertainty, 1(1), 7-59. doi: 10.10007/bf00055564
Solomon, M.R. (2007), Consumer Behavior: Buying, Having, and Being, 7th ed., Paramount Publishing, Boston, MA
Ting, S. (2014) The Relationship between Customers’ Switching Cost and Repurchase Intention: The Moderating Role of Satisfaction. Journal of Service Science and Management, 7(4), 313-322. doi: 10.4236/jssm.2014.74028.
Uncles, M. D., Dowling, G. R. & Hammond, K. (2003). Customer loyalty and customer loyalty programs. Journal of Consumer Marketing, 20(4), doi:10.1108/07363760310483676
Verhoef, P. C. (2003). Understanding the Effect of Customer Relationship Management Efforts on Customer Retention and Customer Share Development. Journal of Marketing, 67(4), 30–45.doi:10.1509/jmkg.67.4.30.18685
Wang, Y.S., Wang, Y.M., Lin, H.H. and Tang, T.I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5), 501-519.
Wernerfelt, B. (1985). Brand loyalty and user skills. Journal of Economic Behavior and Organization, 6(12), 381-385
Yanamandram, V., & White, L. (2010). Are inertia and calculative commitment distinct constructs? An empirical study in the financial services sector. International Journal of Bank Marketing, 28(7), 569-584.
Zeelenberg, M., Pieters, R. (2004) Beyond valence in customer dissatisfaction: A review and new findings on behavioural responses to regret and disappointment in failed services. Journal of Business Research, 57(4), 445-455.
Zhao, L. & Lu, Y. B. (2012). Enhancing perceived interactivity through network externalities: An empirical study on micro-blogging service satisfaction and continuance intention. Decision Support Systems, 53(4), 825-834. doi: 10.1016/j.dss.2012.05.019
Mandarin
東方線上資料庫. (2019, January 9). 2019年科技與人口結構改變,看消費者生活型態趨勢. Retrieved from https://www.smartm.com.tw/article/35363438cea3
產業情報研究所(MIC). (2019) 網購調查系列一. Retreived from https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=516
產業情報研究所(MIC). (2019) 網購調查系列一. Retreived from https://mic.iii.org.tw/IndustryObservations_PressRelease02.aspx?sqno=517
東方線上資料庫. (2019, January 9). 台灣手機購物比例仍偏低,網購族都跑去哪下單? Retrieved from https://www.smartm.com.tw/article/35363730cea3
BusinessNext. (2018, March 15). 誰是台灣消費者心中的購物搜尋第一站?MIC調查:PChome居首位Retrieved from https://www.bnext.com.tw/article/48509/mic-survey-shows-pchome-is-consumer-first-product-search-website
momo (2015, January 5) Retrieved from TechOrange. (2019, January 16). 2019 電商趨勢解密 Retrieved from https://buzzorange.com/techorange/2019/01/16/shopee-trends/
TWNIC. (2018) 2018台灣網路報告 財團法人網路諮詢中心
http://www.fmt.com.tw/index.php?option=com_content&view=article&id=56&Itemid=43
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