博碩士論文 109421029 詳細資訊




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姓名 陳筱捷(Shiau-Jie Chen)  查詢紙本館藏   畢業系所 企業管理學系
論文名稱 應用整合科技接受模式探討影響使用行動銀行服務之因素
(Using UTAUT Model to Explore the Factors Affecting the Use of Mobile Banking Services)
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摘要(中) 隨著金融科技的多樣化,行動銀行提供的服務也更加多元,但過去較少有關行動銀行服務的研究。因此本研究以行動銀行服務為主軸,探討民眾對行動銀行的認知是否會影響使用行動銀行服務的行為。在本研究選擇的整合型科技接受模型當中,大部分採用此模型的研究會觀察使用意圖與使用行為以及其他構面之間的關係,但由於行動銀行市場已經漸趨成熟,因此本研究在模型中拿掉使用意圖,直接觀察各項構面對於使用行為的影響。本研究探討影響民眾採用行動銀行服務的因素,以及男性與女性對這些因素的認知與實際使用行為是否有顯著差異。本研究透過四個UTAUT模型主要構面並另外增加信任、感知風險、感知信用三個構面,探討這七個構面對使用行為的影響。研究共提出15個假說。
本研究以台灣為例並進行變異數分析、結構化方程模式、敘述性統計等方法檢定與剖析,實證後發現男性與女性在感知信用、信任、便利條件、使用行為方面的認知皆有顯著差異,在績效預期、努力預期、社會影響、感知風險的認知則沒有顯著差異。此外,UTAUT模型的結果顯示績效預期、便利條件、社會影響、信任皆能影響民眾使用行動銀行服務之行為,其中受到影響之服務分別為客戶服務、保險、付款和轉帳、投資理財、貸款、機器人顧問服務這五項。而努力預期、感知信用、感知風險對使用行為則無顯著影響。
摘要(英) As the development of financial technology evolved gradually, banks have provided more diversified mobile banking services. However, there are few researches focusing on the analyses of mobile banking from the perspectives of services. Accordingly, this research aims to explore the factors affecting the user behaviors of mobile banking services through the Unified Theory of Acceptance and Use of Technology (UTAUT). The factor of use intention was ignored in this study, because the use penetration rate is already high for mobile banking services. An objective of this research is to discuss if there is a significant difference between males′ and females′ perceptions of these factors and their actual use behaviors. Based on four main aspects of the UTAUT model and three additional aspects of “trust”, “perceived risk” and “perceived credibility”, the other objectives of this research are to investigate whether the above aspects affect “user behavior”. A total of 15 hypotheses have been proposed in this research.
Taking Taiwan customers as research target in this research and applied Structural Equation Model, Analysis of Variance, and descriptive statistics to understand the relationships among factors and use behavior, the results show that gender has significant influence on the perceptions of perceived credibility, trust, facilitating conditions, and use behavior, while there is insufficient evidence to show that gender has significant influence on performance expectations, effort expectations, social influence, and perceived risks. In addition, the results show that performance expectations, facilitating conditions, social influence, and trust have significant influence on customers’ behavior of using mobile banking services, while effort expectations, perceived credibility, and perceived risk have no significant influence on use of customers’ behavior, which includes customer service, insurance service, payment and transfer service, investment and wealth management service, loans service, and robo-advisor services.
關鍵字(中) ★ 行動銀行
★ 整合科技接受模式
★ 信任
★ 感知風險
★ 感知信用
★ 使用行為
關鍵字(英) ★ Mobile Banking
★ UTAUT
★ Trust
★ Perceived risk
★ Perceived credibility
★ Use Behavior
論文目次 目錄
摘要 I
ABSTRACT III
圖目錄 VI
表目錄 VII
第一章 緒論 1
1.1 研究背景與動機 1
1.2 研究目的 3
第二章 文獻回顧 6
2.1 行動銀行服務與影響行動銀行的因素 6
2.2 整合科技接受模式與行動銀行服務 14
第三章 研究方法 18
3.1 研究構面與性別 18
3.2 構面之間的研究假說 21
3.3 結構方程模型 27
3.4 模型構面衡量方式 29
第四章 研究分析 32
4.1 資料收集與抽樣方法 32
4.2 結構方程模型評估 38
4.2.1 信度分析 38
4.2.2 效度分析 40
4.2.3 模型適配度分析 41
4.3 變異數分析 42
4.4 路徑分析 47
第五章 結論與建議 50
參考文獻 52
參考文獻 中文文獻
金融監督管理委員會.(2020). 金融科技發展路徑圖報告書.
https://www.fsc.gov.tw/websitedowndoc?file=chfsc/202012241229310.pdf&filedisplay=1090827%E9%87%91%E8%9E%8D%E7%A7%91%E6%8A%80%E7%99%BC%E5%B1%95%E8%B7%AF%E5%BE%91%E5%9C%96%E5%A0%B1%E5%91%8A%E6%9B%B8.pdf
洪淇蓁.(2014). 行動銀行服務內容需求與使用者滿意度之研究 https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21506
中華民國內政部戶政司.(2022). 全國人口政策及統計資料
https://www.ris.gov.tw/app/portal/674


英文文獻
Accenture. (2021). Wealth Management Consumer Report. https://www.accenture.com/_acnmedia/PDF-162/Accenture-Wealth-Management-Consumer-Report-New-State-of-Advice.pdf
Acheampong, P. (2018). Examining the Intervening Role of Age and Gender on mobile payment Acceptance in Ghana: UTAUT Model. CANADIAN JOURNAL OF APPLIED SCIENCE AND TECHNOLOGY. http://www.onlinejournal.org.uk/index.php/cajast/article/view/303
Ahmed, Z. (2017). USER PERCEPTION OF MOBILE BANKING ADOPTION: AN INTEGRATED TTF-UTAUT MODEL. Journal of Internet Banking and Commerce. https://www.icommercecentral.com/open-access/user-perception-of-mobile-banking-adoption-an-integrated-ttfutaut-model.php?aid=86418
Al-Jabri, I. M., & Sohail, M. S. (2012). Mobile Banking Adoption: Application of Diffusion of Innovation Theory. Journal of Electronic Commerce Research https://www.researchgate.net/publication/258515458_Mobile_Banking_Adoption_Application_of_Diffusion_of_Innovation_Theory
Al-Saedi, K., Al-Emran, M., Ramayah, T., & Abusham, E. (2020). Developing a general extended UTAUT model for M-payment adoption. Technology in Society, 62. https://doi.org/10.1016/j.techsoc.2020.101293
Alalwan, A. A., & Yogesh K. Dwivedi, N. P. R., Antonis C Simintiras. (2016). Jordanian consumers’ adoption of telebanking: Influence of perceived usefulness, trust and self-efficacy. International Journal of Bank Marketing. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Almaiah, M. A. (2019). Applying the UTAUT Model to Explain the Students’ Acceptance of Mobile Learning System in Higher Education. IEEE Access. https://www.researchgate.net/publication/337684213_Applying_the_UTAUT_Model_to_Explain_the_Students′_Acceptance_of_Mobile_Learning_System_in_Higher_Education
America, B. o. (2022). Mobile & Online Banking Benefits and Features. Bank of America. https://www.bankofamerica.com/online-banking/mobile-and-online-banking-features/overview/
Amin, H. (2008). THE ADOPTION OF MOBILE BANKING IN MALAYSIA: THE CASE OF BANK ISLAM MALAYSIA BERHAD. International Journal of Business and Society. http://www.ijbs.unimas.my/repository/pdf/vol9no2%28abs5%29.pdf
Ariffin, N. H. M. (2020). Acceptance of mobile payments by retailers using UTAUT model. Indonesian Journal of Electrical Engineering and Computer Science. https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21506
Association, A. B. (2021). National Survey: Bank Customers Turn to Mobile Apps More Than Any Other Channel to Manage Their Accounts. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Baabdullah, A. M. (2019). Consumer use of mobile banking (M-Banking)in Saudi Arabia: Towards an integrated model. International Journal of Information Management. https://www.sciencedirect.com/science/article/abs/pii/S0268401218306935
Bhatt, A. (2015). Factors Affecting Customers Adoption of Mobile Banking Services https://www.jstor.org/stable/30036540
Bonett, B. (1980). Significance tests and goodness of fit in the analysis of covariance structures. Journal TOC. https://www.researchgate.net/publication/251060246_Evaluating_the_Fit_of_Structural_Equation_Models_Tests_of_Significance_and_Descriptive_Goodness-of-Fit_Measures
Brown, I., Cajee, Z., Davies, D., & Stroebel, S. (2003). Cell phone banking: predictors of adoption in South Africa—an exploratory study. International Journal of Information Management, 23(5), 381-394. https://doi.org/10.1016/s0268-4012(03)00065-3
Browne, R. H. (1995). On the use of a pilot sample for sample size determination. Statistics in Medicine. https://www.researchgate.net/publication/337684213_Applying_the_UTAUT_Model_to_Explain_the_Students′_Acceptance_of_Mobile_Learning_System_in_Higher_Education
Dasgupta, S. (2011). Factors Affecting Behavioral Intentions towards Mobile
Banking Usage: Empirical Evidence from India. Romanian Journal of Marketing. http://www.jecr.org/sites/default/files/08_3_p03.pdf
Deloitte. (2020). Digital banking maturity. https://www2.deloitte.com/content/dam/Deloitte/lu/Documents/financial-services/Banking/lu-digital-banking-maturity-2020.pdf
Digital, F. (2022). Mobile Banking Trends For 2022. https://www.foreksdigital.com/insights/2022/04/07/mobile-banking-trends-for-2022/
Finezza, T. (2021). Top 5 Mobile Banking Trends to Look Out for in 2022. https://finezza.in/blog/mobile-banking-trends-to-look-for-in-2022/
Forum, W. E. (2015). The Future of Financial Services:How disruptive innovations are. https://doi.org/10.1016/s0268-4012(03)00065-3
GonçaloBaptista, & TiagoOliveira. (2015). Understanding mobile banking: The unified theory of acceptance and use of technology combined with cultural moderators. . Computers in Human Behavior.
Gupta, K. P., Manrai, R., & Goel, U. (2019). Factors influencing adoption of payments banks by Indian customers: extending UTAUT with perceived credibility. Journal of Asia Business Studies, 13(2), 173-195. https://doi.org/10.1108/jabs-07-2017-0111
Hu, L. T., & Bentler, P. M. (1995). Evaluating model fit. Psychology & Marketing. https://www.researchgate.net/publication/251060246_Evaluating_the_Fit_of_Structural_Equation_Models_Tests_of_Significance_and_Descriptive_Goodness-of-Fit_Measures
Joshua, A., & Koshy, M. P. (2011). Usage patterns of electronic banking services by urban educated customers: Glimpses from India. The Journal of Internet Banking and Commerce, 16(1), 1-12. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=1652303
Khalilzadeh, J. (2017). Security-related factors in extended UTAUT model for NFC based mobile payment in the restaurant industry Computers in Human Behavior.
Koenig‐Lewis, N., Karjaluoto, H., Palmer, A., & Moll, A. (2010). Predicting young consumers′ take up of mobile banking services. International Journal of Bank Marketing, 28(5), 410-432. https://doi.org/10.1108/02652321011064917
KumarSharma, S. (2019). Examining the role of trust and quality dimensions in the actual usage of mobile banking services: An empirical investigation. International Journal of Information Management. https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21506
Laforet, S., & Li, X. (2005). Consumers’ attitudes towards online and mobile banking in China. International Journal of Bank Marketing, 23(5), 362-380. https://doi.org/10.1108/02652320510629250
Lafraxo, Y. (2018). The Effect of Trust, Perceived Risk and Security on the Adoption of Mobile Banking in Morocco Journal of Asian Finance Economics and Business. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Laukkanen, T., Karjaluoto, H., & Kiviniemi, V. (2010). The role of information in mobile banking resistance. International Journal of Bank Marketing, 28(5), 372-388. https://doi.org/10.1108/02652321011064890
Lee, M. S. Y., McGoldrick, P. J., Keeling, K. A., & Doherty, J. (2003). Using ZMET to explore barriers to the adoption of 3G mobile banking services. International Journal of Retail & Distribution Management, 31(6), 340-348. https://doi.org/10.1108/09590550310476079
Lim, F.-W. (2019). Behavioural Intention towards Using Electronic Wallet: A Conceptual Framework in the Light of the Unified Theory of Acceptance and Use of Technology (UTAUT). Imperial Journal of Interdisciplinary Research. https://www.jstor.org/stable/30036540
Luarn, P., & Lin, H.-H. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computers in Human Behavior, 21(6), 873-891. https://doi.org/10.1016/j.chb.2004.03.003
Luo, X., Li, H., Zhang, J., & Shim, J. P. (2010). Examining multi-dimensional trust and multi-faceted risk in initial acceptance of emerging technologies: An empirical study of mobile banking services. Decision Support Systems, 49(2), 222-234. https://doi.org/10.1016/j.dss.2010.02.008
MacCallum, R. C., & Hong, S. (1997). Power Analysis in Covariance Structure Modeling Using GFI and AGFI. Multivariate Behavioral Research. https://doi.org/10.1016/s0268-4012(03)00065-3
Madigan, R. (2017). What influences the decision to use automated public transport? Using UTAUT to understand public acceptance of Automated Road Transport Systems. Transportation Research Part F: Traffic Psychology and Behaviour. https://www.sciencedirect.com/science/article/abs/pii/S0747563217300018
Manjrekar, S. (2020). Mobile Banking Market by Transaction, and Platform: Global Opportunity Analysis and Industry Forecast. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Mohammadi, H. (2015). A study of mobile banking usage in Iran. International Journal of Bank Marketing.
Murthy, G. (2019). Fintechs and financial inclusion: looking past the hype and exploring their potential. CGAP. https://www.sciencedirect.com/science/article/abs/pii/S0747563217300018
Newzoo. (2021). Global Mobile Market Report 2021. https://newzoo.com/insights/trend-reports/newzoo-global-mobile-market-report-2021-free-version
Nor, K. M. (2008). Internet banking acceptance in Malaysia based on the theory of reasoned action. Journal of Information Systems and Technology Management. https://doi.org/10.4301/10.4301%2FS1807-17752008000100001
10.4301/S1807-17752008000100001
Oliveira, T., Faria, M., Thomas, M. A., & Popovič, A. (2014). Extending the understanding of mobile banking adoption: When UTAUT meets TTF and ITM. International Journal of Information Management, 34(5), 689-703. https://doi.org/10.1016/j.ijinfomgt.2014.06.004
Olsson, B. (2001). Adding variables to improve fit: The effect of model size on fit assessment in LISREL. Structural equation modeling: Present and future https://doi.org/10.1016/s0268-4012(03)00065-3
Püschel, J., Karjaluoto, H., Afonso Mazzon, J., & Mauro C. Hernandez, J. (2010). Mobile banking: proposition of an integrated adoption intention framework. International Journal of Bank Marketing, 28(5), 389-409. https://doi.org/10.1108/02652321011064908
Park. (2007). Adoption of mobile technologies for Chinese consumers http://www.jecr.org/sites/default/files/08_3_p03.pdf
Patil, P. (2020). Understanding consumer adoption of mobile payment in India_Extending Meta-UTAUT model with personal innovativeness, anxiety, trust, and grievance redressal. International Journal of Information Management. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Pazarbasioglu, C. (2020). DIGITAL FINANCIAL SERVICES. https://www.semanticscholar.org/paper/The-Effect-of-Trust%2C-Perceived-Risk-and-Security-on-Lafraxo-Hadri/264fc8bd050f284474e76a3e991e0946c6311ac3
Rachmawati, I. K., & Bukhori, M. (2020). Analysis Of Use Of Mobile Banking With Acceptance And Use Of Technology. INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH. https://www.sciencedirect.com/science/article/abs/pii/S0268401218306935
Research, V. M. (2022). Mobile Banking Market. https://www.marketwatch.com/press-release/global-mobile-banking-market-is-booming-across-the-globe-get-report-by-trends-size-share-growth-industry-analysis-forecast-2028-2022-08-01
Riquelme, H. E., Karjaluoto, H., & Rios, R. E. (2010). The moderating effect of gender in the adoption of mobile banking. International Journal of Bank Marketing, 28(5), 328-341. https://doi.org/10.1108/02652321011064872
SaharAfshan. (2016). Acceptance of mobile banking framework in Pakistan. Telematics and Informatics. https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21506
Savić, J. (2019). ANTECEDENTS OF MOBILE BANKING:UTAUT MODEL. The European Journal of Applied Economics https://www.researchgate.net/publication/220203425_An_Exploratory_Study_of_Killer_Applications_and_Critical_Success_Factors_in_M-Commerce
Shankar, A. (2016). Factors Affecting Mobile Banking Adoption Behavior in India. Journal of Internet Banking and Commerce. https://www.sciencedirect.com/science/article/abs/pii/S0747563217300018
Sharma, J. (2022). Importance of Mobile Banking and How To Do It Safely? https://www.researchgate.net/publication/258515458_Mobile_Banking_Adoption_Application_of_Diffusion_of_Innovation_Theory
Singh, S. (2018). Predicting the intention to use mobile banking in India. International Journal of Bank Marketing. https://www.researchgate.net/publication/220203425_An_Exploratory_Study_of_Killer_Applications_and_Critical_Success_Factors_in_M-Commerce
Singh, S. (2019). Customer Acceptance of Mobile Banking: A Conceptual Framework https://www.sciencedirect.com/science/article/abs/pii/S0747563217300018
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. https://doi.org/10.1002/mar.20823
Sripalawat, J. (2015). M-Banking in Metropolitan Bangkok and a Comparison with other Countries. Journal of Computer Information Systems.
Surf. (2022). Robo Advisor Development for Fintech: What You Need to Know. https://ijeecs.iaescore.com/index.php/IJEECS/article/view/21506
Venkatesh, V. (2003). USER ACCEPTANCE OF INFORMATION TECHNOLOGY: TOWARD A UNIFIED VIEW. MIS Quarterly. https://www.jstor.org/stable/30036540
Wang, Y. S., Wang, Y. M., Lin, H. H., & Tang, T. I. (2003). Determinants of user acceptance of Internet banking: an empirical study. International Journal of Service Industry Management, 14(5), 501-519. https://doi.org/10.1108/09564230310500192
Wei, M.-F., Luh, Y.-H., Huang, Y.-H., & Chang, Y.-C. (2021). Young Generation’s Mobile Payment Adoption Behavior: Analysis Based on an Extended UTAUT Model. Journal of Theoretical and Applied Electronic Commerce Research, 16(4), 618-636. https://doi.org/10.3390/jtaer16040037
Xu, G., & Gutiérrez, J. A. (2006). An Exploratory Study of Killer Applications and Critical Success Factors in M-Commerce. Journal of Electronic Commerce in Organizations. https://www.researchgate.net/publication/220203425_An_Exploratory_Study_of_Killer_Applications_and_Critical_Success_Factors_in_M-Commerce
Yang, A. S. (2009). Exploring adoption difficulties in mobile banking services. Canadian Journal of Administrative Sciences / Revue Canadienne des Sciences de l′Administration, 26(2), 136-149. https://doi.org/10.1002/cjas.102
Yu, C.-S. (2012). Factors affecting individuals to adopt mobile banking:Empirical evidence from the UTAUT model. Journal of Electronic Commerce Research. https://www.scirp.org/(S(lz5mqp453edsnp55rrgjct55))/reference/ReferencesPapers.aspx?ReferenceID=1652303
Zhou, T., Lu, Y., & Wang, B. (2010). Integrating TTF and UTAUT to explain mobile banking user adoption. Computers in Human Behavior, 26(4), 760-767. https://doi.org/10.1016/j.chb.2010.01.013
指導教授 沈建文(Chien-wen Shen) 審核日期 2022-9-13
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