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研究生: 林楷軒
Lin, Kai-Xuan
論文名稱: 以品牌信任及服務多樣性探討行動支付使用意願之研究
Research on Willingness to Use Mobile Payment: Brand Trust and Service Diversity
指導教授: 陳淑惠
Chen, Shu-Hui
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2024
畢業學年度: 112
語文別: 中文
論文頁數: 92
中文關鍵詞: 行動支付品牌信任服務多樣性使用態度使用意願
外文關鍵詞: Mobile payments, Brand trust, Service diversity, Attitude, Usage intention
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  • 本研究主要在探討消費者行動支付之使用意願,藉由文獻探討並參考相關學者之研究,彙整「品牌信任」、「知覺有用性」、「服務多樣性」、「使用態度」與「使用意願」作為本研究的研究架構並設立假說;並透過問卷來分析消費者對於行動支付之使用意願。
    本研究分析之有效問卷為 357 份,額外22份因填答不完整,故將其刪除。透過SPSS軟體分析得出以下結論:消費者對行動支付的品牌信任對使用意願具有正向顯著影響,表明當消費者對品牌有較高的信任度時,他們更傾向於使用行動支付。而服務多樣性對使用態度及使用意願同樣具有正向顯著影響,顯示出多樣化的服務選項能提升消費者對行動支付的使用態度和使用意願。總結來說,品牌信任和服務多樣性是影響消費者使用行動支付的重要因素,並且這些因素會通過影響消費者的使用態度進一步提升他們的使用意願。研究結果強調了提升品牌信任、豐富服務多樣性以及提高知覺有用性的重要性,這些因素不僅能夠改善消費者對行動支付的使用態度,還能顯著提升其使用意願。

    In this rapidly evolving field of mobile payments, understanding its impact on business and consumer behavior, as well as its potential and challenges for future development, has become crucial. Traditional payment methods such as cash and credit cards have gradually become inadequate to meet the demands of modern consumers. The emergence of mobile payments fills this gap by offering a viable alternative that aligns with the preferences of contemporary consumers. The study further reveals that brand trust positively influences usage attitude, suggesting that increased trust enhances consumers' favorable attitudes toward using mobile payments.
    In summary, brand trust and service diversity are crucial factors influencing consumer adoption of mobile payments, with these factors enhancing usage intention primarily through their effects on usage attitude. Perceived usefulness similarly influences usage intention indirectly through its impact on usage attitude. These findings underscore the importance of enhancing brand trust, diversifying service offerings, and improving perceived usefulness, as these factors not only enhance consumer attitudes toward using mobile payments but also significantly increase their willingness to adopt them.

    摘要i Extended-Abstractii 謝辭v 目錄vi 第一章 緒論1 第一節 研究背景與動機1 第二節 研究目的3 第三節 研究流程5 第二章 文獻回顧7 第一節 行動支付7 第二節 知覺有用性12 第三節 服務多樣性14 第四節 品牌信任16 第五節 使用態度19 第六節 使用意願21 第七節 研究假設推導23 第三章 研究方法27 第一節 研究架構27 第二節 問卷設計29 第三節 抽樣方法32 第四節 分析方法33 第四章 研究結果36 第一節 正式問卷回收與樣本分析36 第二節 信度與效度分析39 第三節 Pearson 相關分析43 第四節 獨立樣本t檢定與變異數分析44 第五節 迴歸分析55 第六節 研究假設分析結果62 第五章 研究結論與建議64 第一節 研究結論64 第二節 管理意涵與建議65 第三節 研究限制與未來發展66 第六章 參考文獻67 中文文獻67 英文文獻68 附錄78

    曾懷嫻(2021) ,社群與行動支付使用行為之研究-以 LINE Pay 與街口支付為例,國立中山大學企業管理學系碩士論文,高雄市。
    葉佳欣. (2019) ,消費者使用行動支付之影響因素—以台灣Pay為例,龍華科技大學碩士論文,桃園縣。
    鄭惠鎂. (2014) ,消費者對第三方支付服務使用意圖之研究,國立彰化師範大學企業管理學系碩士論文,彰化縣。
    黃柏達. (2020) ,使用態度對行動支付採用意圖之影響—以信任、知覺風險和認知有用性為中介變項,資訊管理學報,27(2),113-135。
    溫紹群、林錦龍、張孟傑,(2015),行動支付之安全風險與因應,財金資訊季刊第84期。
    陳家宇、黃柏仁、吳中立 (2021). 知覺有用性在技術接受模型中的應用. 台灣管理學報, 15(2), 45-60.
    Abid, M., & Noreen, M. (2023). Mobile payment systems: Benefits and challenges. Journal of Financial Technology, 5(2), 123-135.
    Aggarwal, P. (2004). The effects of brand relationship norms on consumer attitudes and behavior. Journal of consumer research, 31(1), 87-101.
    Agarwal, R., & Mehrotra, V. (2023). Innovations in Mobile Payment Systems. Future Internet, 15(21), 1-15.
    Anderson, R. (2024). Exploring Service Diversity in Modern Payment Systems. Journal of Digital Commerce, 15(2), 112-126.
    Ajzen, I. (1991). The theory of planned behavior. Organizational behavior and human decision processes, 50(2), 179-211.
    Akoglu, H. E., & Özbek, O. (2022). The effect of brand experiences on brand loyalty through perceived quality and brand trust: a study on sports consumers. Asia Pacific Journal of Marketing and Logistics, 34(10), 2130-2148.
    Al Amin, M., Aziz, R., & Rahman, M. (2022). The mediating role of attitude in the relationship between perceived usefulness and usage intention of technology. International Journal of Technology Management, 65(2), 145-162.
    Ali, M. H., Zainol, N. R., & Yusuf, S. (2022). Perceived usefulness and its impact on user acceptance of technology: An empirical study. Journal of Information Technology Management, 33(2), 105-120.
    Al-Abdullatif, A. Mohammed. (2023). Modeling Students’ Perceptions of Chatbots in Learning: Integrating Technology Acceptance with the Value-Based Adoption Model. Education Sciences, 13(11), 1151.
    Baptista, G., & Oliveira, T. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. Computers in human behavior, 50, 418-430.
    Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS quarterly, 351-370.
    Badawy, S. M., & Hashem, M. T. (2024). Understanding user attitudes towards emerging technologies: A comprehensive analysis of adoption and resistance factors. Journal of Technology Management & Innovation, 19(1), 45-67.
    Can, M., Dogan, B., & Saboori, B. (2022). Can green trade save the environment? Introducing the Green (Trade) Openness Index. Environmental Science and Pollution Research, 29(29), 44091-44102.
    Chaw, L. Y., Tang, C. M., & Ali, M. (2024). Driving factors behind mobile payment app users’ continuance intention: insights for service providers in Malaysia. Journal of Systems and Information Technology, 26(2), 212-233.
    Chatterjee, P. (2011). Drivers of new product recommending and referral behaviour on social network sites. International Journal of Advertising, 30(1), 77-101.
    Chen, S.-C., Chung, K. C., & Tsai, M. Y. (2022). Mobile payment service and adoption: The moderating role of service quality. Journal of Retailing and Consumer Services, 66, 102923.
    Dahlberg, T., Guo, J., & Ondrus, J. (2015). A critical review of mobile payment research. Electronic commerce research and applications, 14(5), 265-284.
    Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly, 319-340.
    Delgado‐Ballester, E., & Luis Munuera‐Alemán, J. (2005). Does brand trust matter to brand equity? Journal of product & brand management, 14(3), 187-196.
    Dennehy, D., & Sammon, D. (2015). Trends in mobile payments research: A literature review. Journal of Innovation Management, 3(1), 49.
    Donthu, N., & Garcia, A. (1999). The internet shopper. Journal of advertising research, 39(3), 52-52.
    Dou, S., Ul-Haq, J., Visas, H., Aslam, B., & Khanum, S. (2021). Does export product diversification reduce sulfur dioxide emissions in China? A regional analysis. International Journal of Environmental Science and Technology, 20(6), 6247-6258.
    El-Badawy, T. A., & Hashem, Y. (2024). Use of Social Media in Student Learning and Its Effect on Academic Performance. Journal of Educational Technology, 25(1), 46-52.
    Elliott, R., & Yannopoulou, N. (2007). The nature of trust in brands: a psychosocial model. European Journal of marketing, 41(9/10), 988-998.
    Edelman, D. C. (2022). Customer Journey Mapping and Its Impact on Customer Experience. Journal of Marketing Analytics, 10(1), 43-55.
    Eshaghi, M.S., Ranjbarian, B., & Ansari, A. (2021). The image and customer well-being stems from banking activities. Journal of Islamic Marketing, 13, 1807-1825.
    Garbarino, E., & Johnson, M. S. (1999). The different roles of satisfaction, trust, and commitment in customer relationships. Journal of marketing, 63(2), 70-87.
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 51-90.
    Gillenson, M. L., & Sherrell, D. L. (2002). Enticing online consumers: an extended technology acceptance perspective. Information & management, 39(8), 705-719.
    Gupta, S., & Zeithaml, V. (2006). Customer metrics and their impact on financial performance. Marketing science, 25(6), 718-739.
    Harris, L. C., & Goode, M. M. (2004). The four levels of loyalty and the pivotal role of trust: a study of online service dynamics. Journal of retailing, 80(2), 139-158.
    Hernández, B., Jiménez, J., & José Martín, M. (2011). Age, gender and income: do they really moderate online shopping behaviour? Online information review, 35(1), 113-133.
    Hernandez, B., Jimenez, J., & Martín, M. J. (2008). Extending the technology acceptance model to include the IT decision-maker: A study of business management software. Technovation, 28(3), 112-121.
    Homburg, C., Wieseke, J., & Bornemann, T. (2009). Implementing the marketing concept at the employee-customer interface: the role of customer need knowledge. Journal of marketing, 73(4), 64-81.
    Hong, S., Thong, J. Y., & Tam, K. Y. (2006). Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet. Decision support systems, 42(3), 1819-1834.
    Huo, C., Hameed, J., Zhang, M., Bin Mohd Ali, A. F., & Amri Nik Hashim, N. A. (2021). Modeling the impact of corporate social responsibility on sustainable purchase intentions: insights into brand trust and brand loyalty. Economic Research-Ekonomska Istraživanja, 35, 4710-4739.
    Huang, C.-H. (2021). Exploring the Continuous Usage Intention of Online Learning Platforms from the Perspective of Social Capital. Information, 12(4), 141.
    Huang, J., Liu, S., & Yang, W. (2024). Exploring the Impact of Service Diversity on Customer Loyalty in E-commerce Platforms. Journal of Service Management, 35(1), 45-61.
    Hsieh, J. P.-A., Rai, A., & Keil, M. (2008). Understanding digital inequality: Comparing continued use behavioral models of the socio-economically advantaged and disadvantaged. MIS quarterly, 97-126.
    Iglesias, O., Landgraf, P., Ind, N., Markovic, S., & Koporcic, N. (2020). Corporate brand identity co-creation in business-to-business contexts. Industrial Marketing Management, 85, 32-43.
    Jin, L., & Robey, D. (2008). Bridging social and technical interfaces in organizations: An interpretive analysis of time-space distanciation. Information and Organization, 18(3), 177-204.
    Khatib, S. F. A., & Al Amosh, H. (2022). The research trend of security and privacy in digital payment. Informatics, 9(2), 32.
    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, S. S., & Malhotra, N. K. (2005). A longitudinal model of continued IS use: An integrative view of four mechanisms underlying postadoption phenomena. Management Science, 51(5), 741-755.
    King, W. R., & He, J. (2006). A meta-analysis of the technology acceptance model. Information & management, 43(6), 740-755.
    Kustono, A. S., Praditasari, N. D., & Rahadi, R. A. (2022). Digital Payment System Adoption: Evidence from the Indonesian Public Service Sector. Journal of Financial Services Marketing, 27(2), 181-195
    Kustono, A. S., Praditasari, N. D., & Rahadi, R. A. (2022). Digital Payment System Adoption: Evidence from the Indonesian Public Service Sector. Journal of Financial Services Marketing, 27(2), 181-195.
    Kuhtarska, L. (2024). The Future of Mobile Payments: Technologies and Trends to Watch in 2024. Finextra.
    Lee, P. K., Cheng, T. E., Yeung, A. C., & Lai, K.-h. (2011). An empirical study of transformational leadership, team performance and service quality in retail banks. Omega, 39(6), 690-701.
    Legris, P., Ingham, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & management, 40(3), 191-204.
    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, H.-F. (2007). Effects of extrinsic and intrinsic motivation on employee knowledge sharing intentions. Journal of information science, 33(2), 135-149.
    Looja Brandings. (2024). Brand trust: The psychology behind effective branding. Journal of Brand Management, 28(1), 45-61.
    Madadi, R., Torres, I. M., & Zúñiga, M. Á. (2021). Hierarchical relationships among brand equity dimensions: the mediating effects of brand trust and brand love. Services Marketing Quarterly, 42(1-2), 74-92.
    Madadi, R., Torres, I. M., & Zúñiga, M. Á. (2023). Hierarchical relationships among brand equity dimensions: the mediating effects of brand trust and brand love. Service Marketing Quarterly, 42(1-2), 74-92.
    Morgan, R. M., & Hunt, S. D. (1994). The commitment-trust theory of relationship marketing. Journal of marketing, 58(3), 20-38.
    Mou, J., Shin, D.H., & Cohen, J. (2022). Examining the dynamics leading towards credit card usage attitude: an empirical investigation using importance performance map analysis. Journal of Financial Services Marketing.
    Mun, Y. Y., Jackson, J. D., Park, J. S., & Probst, J. C. (2006). Understanding information technology acceptance by individual professionals: Toward an integrative view. Information & management, 43(3), 350-363.
    O'Leary, J. (2024). Service Diversity in Modern Business Practices. Journal of Consumer Research, 45(2), 123-139.
    Park, S. Y. (2009). An analysis of the technology acceptance model in understanding university students' behavioral intention to use e-learning. Journal of Educational Technology & Society, 12(3), 150-162.
    Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
    Rahi, S., Alghizzawi, M., & Ngah, A. H. (2023). Factors influencing user’s intention to continue use of e-banking during COVID-19 pandemic: The nexus between self-determination and expectation confirmation model. EuroMed Journal of Business, 18(3), 380-396.
    Reast, J. D. (2005). Brand trust and brand extension acceptance: the relationship. Journal of product & brand management, 14(1), 4-13.
    Riquelme, H. E., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of bank marketing, 28(5), 328-341.
    Schoorman, F. D., Mayer, R. C., & Davis, J. H. (2007). An integrative model of organizational trust: Past, present, and future. In (Vol. 32, pp. 344-354): Academy of Management Briarcliff Manor, NY 10510.
    Shin, D.-H. (2010). Modeling the interaction of users and mobile payment system: Conceptual framework. International journal of human-computer interaction, 26(10), 917-940.
    Silva, R., Oliveira, M., & Meirinhos, G. (2023). Brand trust and its impact on consumer behavior in retail settings. Journal of Retail and Consumer Services, 67, 102935.
    Silva, F. A., Shojaei, A. S., & Barbosa, B. (2023). Chatbot-Based Services: A Study on Customers’ Reuse Intention. Journal of Theoretical and Applied Electronic Commerce Research, 18(1), 457-474
    Sivarajah, U., Irani, Z., Gupta, S., & Pawar, K. (2023). The effect of brand trust and brand loyalty on consumer purchase intentions in the context of online retail. Journal of Retailing and Consumer Services, 68, 103-120.
    Smith, A., Jones, R., & Wang, L. (2023). The impact of perceived ease of use on user attitude towards online learning platforms. International Journal of Educational Technology, 22(1), 56-74.
    Smith, J. A. (2024). Understanding the determinants of continued technology usage intention: A comprehensive review. European Journal of Information Systems, 33(2), 345-362.
    Smith, J., & Brown, L. (2024). Understanding the Perceived Usefulness of Emerging Technologies. Journal of Technology Management, 32(1), 45-60.
    Slade, E. L., Dwivedi, Y. K., Piercy, N. C., & Williams, M. D. (2015). Modeling consumers’ adoption intentions of remote mobile payments in the United Kingdom: extending UTAUT with innovativeness, risk, and trust. Psychology & Marketing, 32(8), 860-873.
    Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information systems research, 6(2), 144-176.
    Vaagen, H., & Wallace, S. W. (2020). Optimisation of product portfolio sales and their risk subject to product width and diversity. Review of Managerial Science, 14, 105-125.
    Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.
    Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User acceptance of information technology: Toward a unified view. MIS quarterly, 425-478.
    Venkatesh, V., Thong, J. Y., & Xu, X. (2012). Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly, 157-178.
    Victorino, L., Verma, R., Plaschka, G., & Dev, C. (2005). Service innovation and customer choices in the hospitality industry. Managing Service Quality: An International Journal, 15(6), 555-576.
    Wang, H., & Zhang, Y. (2023). The impact of brand trust on customer attitude and long-term relationship building. Journal of Consumer Research, 50(2), 305-320.
    Wang, H., & Li, X. (2024). Perceived Usefulness in the Context of Digital Transformation. International Journal of Information Systems, 39(2), 120-134.
    White, P. (2024). The Impact of Service Diversity on Consumer Behavior. International Journal of Digital Transactions, 20(1), 45-59.
    Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance. Information systems research, 16(1), 85-102.
    Wu, J.-H., & Wang, S.-C. (2005). What drives mobile commerce?: An empirical evaluation of the revised technology acceptance model. Information & management, 42(5), 719-729.
    Yang, H. D. (2023). A model to improve user acceptance of e-services in healthcare systems based on technology acceptance model: an empirical study. Journal of Ambient Intelligence and Humanized Computing.
    Yang, Z., Zhou, Q., Chiu, D. K. W., & Wang, Y. (2024). Exploring the factors influencing continuous usage intention of academic social network sites. Online Information Review, 46(7), 1225-1241.
    Yoon, C. (2009). The effects of national culture values on consumer acceptance of e-commerce: Online shoppers in China. Information & management, 46(5), 294-301.
    Zhou, X. (2022). Perceived usefulness as a crucial psychological factor influencing users' technology acceptance and usage behavior, dynamically adjusting with usage experience and external environment changes. Journal of Technology Acceptance and Usage Studies, 45(3), 123-140.

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