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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/98852
    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/98852


    Title: 以PPM模型探討移動支付用戶之轉移意圖
    A study of user switching intention towards mobile payment: a Push-Pull-Mooring framework approach
    Authors: 衛瀟
    Wei, Xiao
    Contributors: 管郁君
    Huang, Eugenia Y.
    衛瀟
    Wei, Xiao
    Keywords: 移動支付
    轉移意圖
    Push-Pull-Mooring模型
    移動服務品質
    轉換成本
    功利性價值
    mobile payment
    switching intention
    Push-Pull-Mooring framework,
    mobile service quality
    switching costs
    utilitarian value
    Date: 2016
    Issue Date: 2016-07-11 17:02:07 (UTC+8)
    Abstract: 伴隨著移動商務的迅速發展,以及越來越多的O2O(Online to Offline,即線上到線下)服務的出現和普及,移動支付逐漸被人們所接受。在此背景下,越來越多的企業加入到移動支付的競爭中,移動支付在世界範圍內的廣泛應用已經逐漸成為共識,用戶面臨著越來越多樣化的選擇。同時用戶往往不會滿足於其現在使用的移動支付,因而針對用戶轉移行為的研究極為必要。本研究借助人口地理學中的遷移理論以及推-拉-錨定(Push-Pull-Mooring)框架,並引入移動服務品質、轉換成本、功利性價值、網絡外部性、個人創新性、信任和轉移意圖7個研究構面。通過對中國大陸372個移動支付用戶的結構方程模式分析,探測出影響用戶轉移意圖的因素,以及各因素之間的關係。
    結果顯示,移動服務品質中的效率與履行因素對轉移意圖有負向影響;功利性價值中的多樣與方便因素以及網絡外部性對轉移意圖有正向影響;轉換成本中的程序與財務轉換成本對轉移意圖有負向影響;個人創新性和信任均顯著影響轉移意圖,但其調節作用並不顯著。最後,以此為依據,本研究分別針對原移動支付和新移動支付提出了相應的發展策略。
    With the rapid development of mobile commerce, as well as the emergence and popularity of increasing O2O (Online to Offline) services, mobile payment has been accepted. In this context, more and more companies join the competition in mobile payment. Mobile payment widely around the world has become a consensus and users are faced with increasingly diverse selections. Users are often not satisfied with their current mobile payment. So it is necessary to study users’ switching behavior. This research with the migration theory in geography, as well as Push-Pull-Mooring framework, and the introduction of mobile service quality, switching costs, utilitarian value, network externalities, personal innovativeness, trust and switching intention 7 research variables, based on structural equation modeling analysis of 372 mobile payment users, detects the factors affecting the user switching intention and the relationships between the factors.
    Results show that efficiency and fulfillment factor of mobile service quality have a negative effect on switching intention; assortment and convenience factor of utilitarian value, as well as network externalities have a positive impact on switching intention; procedural and financial switching costs have a negative impact on switching intention; personal innovativeness and trust both show effect on switching intention, but the moderator effect is not significant. Finally, on this basis, the study puts forward the development strategies respectively for the first-mover and after market entrants.
    Reference: 一、網絡文獻
    Board of Governors of The Federal Reserve System(2015). Consumers and mobile financial services 2015. Retrieved December 03, 2015, from http://www.federalreserve.gov/econresdata/consumers-and-mobile-financial-services-report-201503.pdf
    CNNIC(2015). 第36次中國互聯網絡發展狀況統計報告. Retrieved December 05, 2015, from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/
    hlwtjbg/201507/P020150723549500667087.pdf
    Facebook(2015). Facebook Reports Third Quarter 2015 Results. Retrieved December 05, 2015, from http://investor.fb.com/releasedetail.cfm?
    ReleaseID=940609
    Mike S.(2015). MySpace Still Reaches 50 Million People Each Month. Retrieved December 05, 2015, from http://blogs.wsj.com/cmo/2015/01/
    14/myspace-still-reaches-50-million-people-each-month/
    二、英文文獻
    Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: Measuring hedonic and utilitarian shopping value. Journal of Consumer Research, 20(4), 644-656.
    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.
    Barnes, S. J., & Vidgen, R. (2001). An evaluation of cyber-bookshops: The WebQual method. International Journal of Electronic Commerce, 6(1), 11-30.
    Bauer, H. H., Falk, T., & Hammerschmidt, M. (2006). eTransQual: A transaction process-based approach for capturing service quality in online shopping. Journal of Business Research, 59(7), 866-875.
    Boyle, P.J. and Halfacree, K. (1999) Migration and Gender in the Developed World, Routledge Publication, New York.
    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., Liu, C. C., & Chen, K. (2014). The push, pull and mooring effects in virtual migration for social networking sites. Information Systems Journal, 24(4), 323-346.
    Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2002). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of Retailing, 77(4), 511-535.
    Chitturi, R., Raghunathan, R., & Mahajan, V. (2008). Delight by design: The role of hedonic versus utilitarian benefits. Journal of Marketing, 72(3), 48-63.
    Chiu, C. M., Wang, E. T., Fang, Y. H., & Huang, H. Y. (2014). Understanding customers` repeat purchase intentions in B2C e-commerce: The roles of utilitarian value, hedonic value and perceived risk. Information Systems Journal, 24(1), 85-114.
    Crespo, Á. H., & del Bosque, I. R. (2008). The effect of innovativeness on the adoption of B2C e-commerce: A model based on the Theory of Planned Behaviour. Computers in Human Behavior, 24(6), 2830-2847.
    Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic Commerce Research and Applications, 14(5), 265-284.
    Dahlberg, T., Mallat, N., & Öörni, A. (2003). Trust enhanced technology acceptance modelconsumer acceptance of mobile payment solutions: Tentative evidence. Stockholm Mobility Roundtable, 22-23.
    Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research and Applications, 7(2), 165-181.
    De Ruyter, K., Wetzels, M., & Bloemer, J. (1998). On the relationship between perceived service quality, service loyalty and switching costs. International Journal of Service Industry Management, 9(5), 436-453.
    Di Pietro, L., Mugion, R. G., Mattia, G., Renzi, M. F., & Toni, M. (2015). The Integrated Model on Mobile Payment Acceptance (IMMPA): An empirical application to public transport. Transportation Research Part C: Emerging Technologies, 56, 463-479.
    Fu, J. R. (2011). Understanding career commitment of IT professionals: Perspectives of push-pull-mooring framework and investment model. International Journal of Information Management, 31(3), 279-293.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51-90.
    Guo, J., & Bouwman, H. (2015). An analytical framework for an m-payment ecosystem: A merchants׳ perspective. Telecommunications Policy, 1-20.
    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.
    Huang, E. Y., Lin, S. W., & Fan, Y. C. (2015). MS-QUAL: Mobile service quality measurement. Electronic Commerce Research and Applications, 14(2), 126-142.
    Huang, L. Y., & Hsieh, Y. J. (2012). Consumer electronics acceptance based on innovation attributes and switching costs: The case of e-book readers. Electronic Commerce Research and Applications, 11(3), 218-228.
    Jackson, John A. (1986). “Migration.” In Aspects of Modern Sociology: Social Processes. London and New York: Longman.
    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.
    Jones, M. A., Reynolds, K. E., & Arnold, M. J. (2006). Hedonic and utilitarian shopping value: Investigating differential effects on retail outcomes. Journal of Business Research, 59(9), 974-981.
    Kim, C., Mirusmonov, M., & Lee, I. (2010). An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior, 26(3), 310-322.
    Kim, D. J., & Hwang, Y. (2012). A study of mobile internet user’s service quality perceptions from a user’s utilitarian and hedonic value tendency perspectives. Information Systems Frontiers, 14(2), 409-421.
    Klemperer, P. (1987). Markets with consumer switching costs. The Quarterly Journal of Economics, 375-394.
    Klemperer, P. (1995). Competition when consumers have switching costs: An overview with applications to industrial organization, macroeconomics, and international trade. The Review of Economic Studies, 62(4), 515-539.
    Koenig-Lewis, N., Marquet, M., Palmer, A., & Zhao, A. L. (2015). Enjoyment and social influence: Predicting mobile payment adoption. The Service Industries Journal, (ahead-of-print), 1-18.
    Kuo, Y. F., Wu, C. M., & Deng, W. J. (2009). The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services. Computers in Human Behavior, 25(4), 887-896.
    Lai, J. Y., Debbarma, S., & Ulhas, K. R. (2012). An empirical study of consumer switching behaviour towards mobile shopping: a Push-Pull-Mooring model. International Journal of Mobile Communications, 10(4), 386-404.
    Lee, E. S. (1966). A theory of migration. Demography, 3(1), 47-57.
    Lee, M. C. (2009). Factors influencing the adoption of internet banking: An integration of TAM and TPB with perceived risk and perceived benefit. Electronic Commerce Research and Applications, 8(3), 130-141.
    Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Role of gender on acceptance of mobile payment. Industrial Management & Data Systems, 114(2), 220-240.
    Liébana-Cabanillas, F., Sánchez-Fernández, J., & Muñoz-Leiva, F. (2014). Antecedents of the adoption of the new mobile payment systems: The moderating effect of age. Computers in Human Behavior, 35, 464-478.
    Lin, C. P., & Bhattacherjee, A. (2008). Elucidating individual intention to use interactive information technologies: The role of network externalities. International Journal of Electronic Commerce, 13(1), 85-108.
    Liu, J., Kauffman, R. J., & Ma, D. (2015). Competition, cooperation, and regulation: Understanding the evolution of the mobile payments technology ecosystem. Electronic Commerce Research and Applications, 14(5), 372-391.
    Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2002). WebQual: A measure of website quality. Marketing Theory and Applications, 13(3), 432-438.
    Loiacono, E. T., Watson, R. T., & Goodhue, D. L. (2007). WebQual: An instrument for consumer evaluation of web sites. International Journal of Electronic Commerce, 11(3), 51-87.
    Longino, C. F. (1992). The forest and the trees: Micro-level considerations in the study of geographic mobility in old age. Elderly Migration and Population Redistribution, 23-34.
    Lu, J., Yao, J. E., & Yu, C. S. (2005). Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology. The Journal of Strategic Information Systems, 14(3), 245-268.
    Lu, Y., Yang, S., Chau, P. Y., & Cao, Y. (2011). Dynamics between the trust transfer process and intention to use mobile payment services: A cross-environment perspective. Information & Management, 48(8), 393-403.
    Lu, Y., Zhang, L., & Wang, B. (2009). A multidimensional and hierarchical model of mobile service quality. Electronic Commerce Research and Applications, 8(5), 228-240.
    Mallat, N. (2007). Exploring consumer adoption of mobile payments–A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432.
    Mallat, N., Rossi, M., Tuunainen, V. K., & Öörni, A. (2009). The impact of use context on mobile services acceptance: The case of mobile ticketing. Information & Management, 46(3), 190-195.
    Martínez-López, F. J., Pla-García, C., Gázquez-Abad, J. C., & Rodríguez-Ardura, I. (2014). Utilitarian motivations in online consumption: Dimensional structure and scales. Electronic Commerce Research and Applications, 13(3), 188-204.
    Matzler, K., Strobl, A., Thurner, N., & Füller, J. (2015). Switching experience, customer satisfaction, and switching costs in the ICT industry. Journal of Service Management, 26(1), 117-136.
    Mobile Payment Forum, Enabling secure, interoperable, and user-friendly mobile payments, White paper, New York, NY, December 2002. (accessed 14.11.2015).
    Moon, B. (1995). Paradigms in migration research: exploring "moorings" as a schema. Progress in Human Geography, 19(4), 504-524.
    Olorunniwo, F., Hsu, M. K., & Udo, G. J. (2006). Service quality, customer satisfaction, and behavioral intentions in the service factory. Journal of Services Marketing, 20(1), 59-72.
    Overby, J. W., & Lee, E. J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10), 1160-1166.
    Parasuraman, A., Berry, L.L., Zeithaml, V.A. (1988). SERVQUAL: A Multiple-Item Scale for Measuring Consumer Perceptions of Service Quality. Journal of Retailing, 64(1), 12-40.
    Parasuraman, A., Zeithaml, V. A., & Berry, L. L. (1985). A conceptual model of service quality and its implications for future research. The Journal of Marketing, 41-50.
    Parasuraman, A., Zeithaml, V. A., & Malhotra, A. (2005). ES-QUAL a multiple-item scale for assessing electronic service quality. Journal of Service Research, 7(3), 213-233.
    Peng, R., Xiong, L., & Yang, Z. (2012). Exploring tourist adoption of tourism mobile payment: An empirical analysis. Journal of Theoretical and Applied Electronic Commerce Research, 7(1), 21-33.
    Ray, S., Kim, S. S., & Morris, J. G. (2012). Research Note-Online Users` Switching Costs: Their Nature and Formation. Information Systems Research, 23(1), 197-213.
    Ryu, K., Han, H., & Jang, S. (2010). Relationships among hedonic and utilitarian values, satisfaction and behavioral intentions in the fast-casual restaurant industry. International Journal of Contemporary Hospitality Management, 22(3), 416-432.
    Schierz, P. G., Schilke, O., & Wirtz, B. W. (2010). Understanding consumer acceptance of mobile payment services: An empirical analysis. Electronic Commerce Research and Applications, 9(3), 209-216.
    Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354.
    Thakur, R. (2013). Customer Adoption of mobile payment services by professionals across two cities in India: an empirical study using modified technology acceptance model. Business Perspectives and Research, 1, 17.
    Thakur, R., & Srivastava, M. (2014). Adoption readiness, personal innovativeness, perceived risk and usage intention across customer groups for mobile payment services in India. Internet Research, 24(3), 369-392.
    To, P. L., Liao, C., & Lin, T. H. (2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27(12), 774-787.
    Wolfinbarger, M., & Gilly, M. C. (2003). eTailQ: dimensionalizing, measuring and predicting etail quality. Journal of Retailing, 79(3), 183-198.
    Xu, J. D., Benbasat, I., & Cenfetelli, R. T. (2013). Integrating service quality with system and information quality: An empirical test in the e-service context. MIS Quarterly, 37(3), 777-794.
    Yang, S., Lu, Y., Gupta, S., Cao, Y., & Zhang, R. (2012). Mobile payment services adoption across time: An empirical study of the effects of behavioral beliefs, social influences, and personal traits. Computers in Human Behavior, 28(1), 129-142.
    Zhang, K. Z., Cheung, C. M., Lee, M. K., & Chen, H. (2008, January). Understanding the blog service switching in Hong Kong: an empirical investigation. In Hawaii International Conference on System Sciences, Proceedings of the 41st Annual (pp. 269-269). IEEE.
    Zhou, T. (2012). Understanding users’ initial trust in mobile banking: An elaboration likelihood perspective. Computers in Human Behavior, 28(4), 1518-1525.
    Zhou, T. (2013). An empirical examination of continuance intention of mobile payment services. Decision Support Systems, 54(2), 1085-1091.
    Description: 碩士
    國立政治大學
    資訊管理學系
    103356045
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103356045
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

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