研究生: |
謝易呈 Hsieh, Yi-Chen |
---|---|
論文名稱: |
行動支付服務忠誠度影響機制之探討:推敲可能性模型觀點 An Empirical Study of Influencing Mechanism of Mobile Payment Service Loyalty: Elaboration Likelihood Model Perspective |
指導教授: |
周世玉
Chou, Shih-Yu |
學位類別: |
碩士 Master |
系所名稱: |
全球經營與策略研究所 Graduate Institute of Global Business and Strategy |
論文出版年: | 2020 |
畢業學年度: | 108 |
語文別: | 英文 |
論文頁數: | 55 |
中文關鍵詞: | 行動支付 、推敲可能性模型 、忠誠度 |
英文關鍵詞: | Mobile payment, Elaboration likelihood model, Mobile loyalty |
DOI URL: | http://doi.org/10.6345/NTNU202000499 |
論文種類: | 學術論文 |
相關次數: | 點閱:286 下載:20 |
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隨著電子商務的蓬勃發展以及智慧型手機的盛行,也隨之帶動起行動支付的熱潮,尤其以亞洲地區國家(如:日本、南韓、中國)最為風行。行動支付在台灣的普及率逐步提升,此現象除了意味著行動支付在台灣的發展也逐漸步上了軌道外,也代表著半數的台灣居民都有使用過行動支付的經驗。因此,我們認為:「使用過後是否產生黏著度」是現今最重要的議題,故本研究著重探討使用者對於行動支付服務商的忠誠度。
在調查此議題上,本文採用推敲可能性模型 (Elaboration Likelihood Model, ELM)做為理論基礎,探討消費者是否從中央路徑(資訊品質、服務品質)以及從周邊路徑(名聲、組織保證),最終對行動支付商產生忠誠度。本文也將“行動支付知識程度”做為調節變數,檢視其對於使用忠誠度的影響。
本文採用問卷調查法,分析台灣地區消費者對於行動支付服務的忠誠度,最終蒐集500份有效樣本。根據分析結果,當消費者接收到優良的訊息和服務品質,會使得消費者認為使用行動支付服務對於進行交易是有幫助的,進而對其服務產生忠誠度。本研究另外一項關鍵的發現是:行動支付知識程度和信任對於忠誠度產生負向交互作用。當消費者行動支付知識程度偏低時,信任將扮演重要的角色,使得消費者有意願使用行動支付,因而產生忠誠度。
Nowadays, thanks to the flournishing development of e-commence and prevalence of mobile phone usage, mobile payment services become more and more promising in the modern society. In Taiwan, since there are 50.3% of Taiwanese revealed that they have the experience of using mobile payment services, the development of mobile payment could be prospected.
Petty and Cacioppo (1986) proposed Elaboration Likelihood Model are mainly included two routes: central route and peripheral route. This study aim to figure out whether consumers will foster their loyalty toward mobile payment service providers through central route (e.g. information quality, service quality) and peripheral routes (e.g. reputation, structural assurance). Moreover, this study utilizes “mobile payment knowledge” to be a moderator, inspecting its impacts toward users’ loyalty. In a nutshell, we yearn to fill the research gap via ELM model since it can exhautively investigate user’ procedure of processing the information.
For the purpose of authenticating our research model, we totally collected 500 valid sample who had an experience of using mobile payment in Taiwan. There are two notable discoveries in this research. Firstly, when consumers received an excellent information quality and service quality, they will perceive that mobile payment service is certainly useful for them to conduct a transaction. Another point is that the interaction effect of trust and mobile payment knowledge toward mobile loyalty is negative. To be more specific, when the level of mobile payment knowledge is low, trust will play a vital role, boosting consumers to use mobile payment service. Eventually, consumers will intensify their loyalty.
Abrahão, R. d. S., S. N. Moriguchi and D. F. Andrade (2016). "Intention of adoption of mobile payment: An analysis in the light of the Unified Theory of Acceptance and Use of Technology (UTAUT)." RAI Revista de Administração e Inovação 13(3): 221-230.
Amoroso, D. and R. Lim (2017). "The mediating effects of habit on continuance intention." International Journal of Information Management 37(6): 693-702.
Anderson, R. E. and S. S. Srinivasan (2003). "E-satisfaction and e-loyalty: A contingency framework." Psychology & Marketing 20(2): 123-138.
Areni, C. S. (2003). "The effects of structural and grammatical variables on persuasion: An elaboration likelihood model perspective." Psychology & Marketing 20(4): 349-375.
Bente, G., O. Baptist and H. Leuschner (2012). "To buy or not to buy: Influence of seller photos and reputation on buyer trust and purchase behavior." International Journal of Human-Computer Studies 70(1): 1-13.
Bhattacherjee, A. (2001). "UNDERSTANDING INFORMATION SYSTEMS CONTINUANCE: AN EXPECTATION-CONFIRMATION MODEL1." MIS Quarterly 25(3): 351-370.
Bölen, M. C. (2020). "Exploring the determinants of users’ continuance intention in smartwatches." Technology in Society 60: 101209.
Breckler, S. J. (1984). "Empirical validation of affect, behavior, and cognition as distinct components of attitude." Journal of Personality and Social Psychology 47(6): 1191-1205.
Brucks, M. (1985). "The Effects of Product Class Knowledge on Information Search Behavior*." Journal of Consumer Research 12(1): 1-16.
Chen, C.-C. and S.-S. Tsang (2019) "Predicting adoption of mobile payments from the perspective of taxi drivers." IET Intelligent Transport Systems 13, 1116-1124.
Chen, Y., L. Yang, M. Zhang and J. Yang (2018). "Central or peripheral? Cognition elaboration cues’ effect on users’ continuance intention of mobile health applications in the developing markets." International Journal of Medical Informatics 116: 33-45.
Cheung, C. M.-Y., C.-L. Sia and K. K. Y. Kuan (2012). "Is this review believable? A study of factors affecting the credibility of online consumer reviews from an ELM perspective." Journal of the Association of Information Systems 13(8): 618-635.
Chiou, J.-S., C. Droge and S. Hanvanich (2002). "Does Customer Knowledge Affect How Loyalty is Formed?" Journal of Service Research 5(2): 113-124.
Choi, N. (2009). "How loyal are you? Continuance intention and word of mouth in free/libre open source software." AMCIS 2009 Doctoral Consortium: 15.
Cyr, D., M. Head and A. Ivanov (2006). "Design aesthetics leading to m-loyalty in mobile commerce." Information & Management 43(8): 950-963.
Davis, F. D. (1985). A technology acceptance model for empirically testing new end-user information systems: Theory and results, Massachusetts Institute of Technology.
Davis, F. D. (1989). "Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology." MIS Quarterly 13(3): 319-340.
Filieri, R. (2015). "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM." Journal of Business Research 68(6): 1261-1270.
Fornell, C. and D. F. Larcker (1981). "Structural Equation Models with Unobservable Variables and Measurement Error: Algebra and Statistics." Journal of Marketing Research 18(3): 382-388.
Gefen, D. and P. Devine (2001). "Customer loyalty to an online store: The meaning of online service quality." ICIS 2001 Proceedings: 80.
Goyette, I., L. Ricard, J. Bergeron and F. Marticotte (2010). "e-WOM Scale: word-of-mouth measurement scale for e-services context." Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration 27(1): 5-23.
Gupta, P. and J. Harris (2010). "How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective." Journal of Business Research 63(9): 1041-1049.
Hair, J. F., C. M. Ringle and M. Sarstedt (2011). "PLS-SEM: INDEED A SILVER BULLET." Journal of Marketing Theory and Practice 19(2): 139-151.
Hennig-Thurau, T., K. P. Gwinner, G. Walsh and D. D. Gremler (2004). "Electronic word-of-mouth via consumer-opinion platforms: What motivates consumers to articulate themselves on the Internet?" Journal of Interactive Marketing 18(1): 38-52.
Hew, J.-J., V.-H. Lee, K.-B. Ooi and B. Lin (2016). "Mobile social commerce: The booster for brand loyalty?" Computers in Human Behavior 59: 142-154.
Hsiao, K.-L. and C.-C. Chen (2016). "What drives in-app purchase intention for mobile games? An examination of perceived values and loyalty." Electronic Commerce Research and Applications 16: 18-29.
Huang, L., S. Ba and X. Lu (2014). "Building Online Trust in a Culture of Confucianism: The Impact of Process Flexibility and Perceived Control." ACM Trans. Manage. Inf. Syst. 5(1): 1-23.
Jarvenpaa, S. L., N. Tractinsky and M. Vitale (2000). "Consumer trust in an Internet store." Information technology and management 1(1-2): 45-71.
Kang, J.-W. and Y. Namkung (2019). "The information quality and source credibility matter in customers’ evaluation toward food O2O commerce." International Journal of Hospitality Management 78: 189-198.
Kim, C., M. Mirusmonov and I. Lee (2010). "An empirical examination of factors influencing the intention to use mobile payment." Computers in Human Behavior 26(3): 310-322.
Kim, H.-W., Y. Xu and J. Koh (2004). "A Comparison of Online Trust Building Factors between Potential Customers and Repeat Customers." Journal of the Association for Information Systems 5(10): 392-420.
Kim, Y. and H. S. Lee (2014). "Quality, perceived usefulness, user satisfaction, and intention to use: An empirical study of ubiquitous personal robot service." Asian Social Science 10(11): 1.
Köster, A., C. Matt and T. Hess (2016). "Carefully choose your (payment) partner: How payment provider reputation influences m-commerce transactions." Electronic Commerce Research and Applications 15: 26-37.
Lau, G. T. and S. Ng (2001). "Individual and Situational Factors Influencing Negative Word-of-Mouth Behaviour." Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l'Administration 18(3): 163-178.
Li, H., Y. Liu and J. Heikkilä (2014). Understanding the Factors Driving NFC-Enabled Mobile Payment Adoption: an Empirical Investigation. PACIS.
Liébana-Cabanillas, F., S. Molinillo and M. Ruiz-Montañez (2019). "To use or not to use, that is the question: Analysis of the determining factors for using NFC mobile payment systems in public transportation." Technological Forecasting and Social Change 139: 266-276.
Lien, N.-H. (2001). "Elaboration likelihood model in consumer research: A review." Proceedings of the National Science Council Part C: Humanities and Social Sciences 11(4): 301-310.
Lin, C. and M. Lin (2019). "The determinants of using cloud supply chain adoption." Industrial Management and Data Systems 119(2): 351-366.
Lin, L. Y. and C. S. Chen (2006). "The influence of the country‐of‐origin image, product knowledge and product involvement on consumer purchase decisions: an empirical study of insurance and catering services in Taiwan." Journal of Consumer Marketing 23(5): 248-265.
Lin, Z. and R. Filieri (2015). "Airline passengers’ continuance intention towards online check-in services: The role of personal innovativeness and subjective knowledge." Transportation Research Part E: Logistics and Transportation Review 81: 158-168.
Lu, J., J. Wei, C.-s. Yu and C. Liu (2017). "How do post-usage factors and espoused cultural values impact mobile payment continuation?" Behaviour & Information Technology 36(2): 140-164.
McKnight, D. H., V. Choudhury and C. Kacmar (2002). "Developing and Validating Trust Measures for e-Commerce: An Integrative Typology." INFoRMAtioN SYStEMS RESEARCH 13(3): 335.
McKnight, D. H., V. Choudhury and C. Kacmar (2002). "The impact of initial consumer trust on intentions to transact with a web site: a trust building model." The journal of strategic information systems 11(3-4): 297-323.
Mehrad, D. and S. Mohammadi (2017). "Word of Mouth impact on the adoption of mobile banking in Iran." Telematics and Informatics 34(7): 1351-1363.
Miao, M. and K. Jayakar (2016). "Mobile payments in Japan, South Korea and China: Cross-border convergence or divergence of business models?" Telecommunications Policy 40(2): 182-196.
Molinari Lori, K. (2008). "Satisfaction, quality and value and effects on repurchase and positive word‐of‐mouth behavioral intentions in a B2B services context." Journal of Services Marketing 22(5): 363-373.
Morgan, R. M. and S. D. Hunt (1994). "The Commitment-Trust Theory of Relationship Marketing." Journal of Marketing 58(3): 20-38.
Musa, A., H. U. Khan and K. A. AlShare (2015). "Factors influence consumers' adoption of mobile payment devices in Qatar." International Journal of Mobile Communications 13(6): 670-689.
Nguyen, V., E. Lim, J. Jiang and A. Sun (2009). To Trust or Not to Trust? Predicting Online Trusts Using Trust Antecedent Framework. 2009 Ninth IEEE International Conference on Data Mining.
Oliver, R. L. (1999). "Whence Consumer Loyalty?" Journal of Marketing 63(4_suppl1): 33-44.
Pavlou, P. A. and D. Gefen (2004). "Building Effective Online Marketplaces with Institution-Based Trust." Information Systems Research 15(1): 37-59.
Peng, R., L. Xiong and Z. Yang (2012). "Exploring tourist adoption of tourism mobile payment: An empirical analysis." Journal of theoretical and applied electronic commerce research 7(1): 21-33.
Peng, R., L. Xiong and Z. Yang (2012). "Exploring tourist adoption of tourism mobile payment: an empirical analysis." J. Theor. Appl. Electron. Commer. Res. 7(1): 21–33.
Perez, G., A. D. Rosa, A. Medeiros Jr and M. Comar (2013). "Trends in the Use of Mobile Payment in Brazil: An Analysis Using the Delphi Method."
Petty, R. and J. Cacioppo (1986). "The Elaboration Likelihood Model of Persuasion." Advances in Experimental Social Psychology 19: 123-205.
Petty, R. E. and D. T. Wegener (1999). "The elaboration likelihood model: Current status and controversies." Dual-process theories in social psychology 1: 37-72.
Robert, L. and A. Dennis (2005). "Paradox of Richness: A Cognitive Model of Media Choice." Professional Communication, IEEE Transactions on 48: 10-21.
Schierz, P. G., O. Schilke and B. W. Wirtz (2010). "Understanding consumer acceptance of mobile payment services: An empirical analysis." Electronic Commerce Research and Applications 9(3): 209-216.
Sha, W. (2009). "Types of structural assurance and their relationships with trusting intentions in business-to-consumer e-commerce." Electronic Markets 19(1): 43-54.
Shao, Z., L. Zhang, X. Li and Y. Guo (2019). "Antecedents of trust and continuance intention in mobile payment platforms: The moderating effect of gender." Electronic Commerce Research and Applications 33: 100823.
Tang, T.-W. and R.-T. Huang (2015). "The relationships among trust, e-satisfaction, e-loyalty, and customer online behaviors." International Journal of Business and Industrial Marketing 1(2): 16-25.
Taylor, S. A. and T. L. Baker (1994). "An assessment of the relationship between service quality and customer satisfaction in the formation of consumers' purchase intentions." Journal of Retailing 70(2): 163-178.
Turner, M., B. Kitchenham, P. Brereton, S. Charters and D. Budgen (2010). "Does the technology acceptance model predict actual use? A systematic literature review." Information and Software Technology 52(5): 463-479.
Venkatesh, V., J. Y. Thong and X. Xu (2012). "Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology." MIS quarterly 36(1): 157-178.
Wei-chang, K. and H. Yu-Ting Caisy (2006). Modeling Initial and Repeat Online Trust in B2C E-Commerce. Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).
Yi, M. Y., J. J. Yoon, J. M. Davis and T. Lee (2013). "Untangling the antecedents of initial trust in Web-based health information: The roles of argument quality, source expertise, and user perceptions of information quality and risk." Decision Support Systems 55(1): 284-295.
Zha, X., H. Yang, Y. Yan, K. Liu and C. Huang (2018). "Exploring the effect of social media information quality, source credibility and reputation on informational fit-to-task: Moderating role of focused immersion." Computers in Human Behavior 79: 227-237.
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.
Zhou, T. (2014). "Understanding the determinants of mobile payment continuance usage." Industrial Management & Data Systems 114(6): 936-948.