臺灣博碩士論文加值系統

雖然手機銀行從2003年就在越南市場推出，但是根據銀行業報告，手機銀行的使用比例在行動手機用戶中比例仍然非常低，潛在用戶不接受使用這項服務，儘管的可用性。因此，本研究的目標是探討關鍵因素影響到用戶對於行動手機銀行的接受度。本研究應用科技結接受模型（TAM）, 已普遍用來預測個人是否會接受並主動利用資訊科技，專注於兩個重要因素：感知的易用性和感知的有用性。支持文獻，研究延長 TAM通過添加更多的因素：感知風險，創新的條件和個人創新，預計將有顯著影響到在越南採用移動銀行。

收集的數據來自 159受訪者對越南進行了測試擴展 TAM，採用 SPSS軟件。結果強烈支持所有的假設針對用戶的打算使用手機銀行，並表示在從打算到實際上是用途徑中個人創由非常重要的作用。
這項研究還建議銀行和移動網絡供應商利用在越南的營銷傳播工具，以鼓勵個人創新的因素來提高實際應用率的移動銀行服務。

Although mobile banking has been introduced in Vietnam market since 2003, reports on mobile banking service in Vietnam show that the percentage of mobile banking user among mobile subscriptions is still very low and potential user may not be using this service, despite their availability. Thus, the objective of this research is to identify the factors determining Vietnamese users’ acceptance of mobile banking.
This study applied Technology Acceptance Model (TAM), which has been considerably used to predict whether an individual will accept and voluntarily use information technology, with focus on two important factors: perceived ease of use and perceived usefulness. Supported by literature review, the study extended TAM by adding more factors: perceived risks, facilitating condition and personal innovativeness in technology which are predicted to have noticeable impact on mobile- banking adoption in Vietnam.
Data collected from 159 respondents in Vietnam were tested against the extended TAM, using SPSS software. The result strongly supported all the hypotheses in predicting users’ intention to adopt mobile banking and indicated important role of personal innovativeness in technology in turning users’ intention to actual usage.
The study also suggested bankers and mobile network providers in Vietnam utilizing marketing communication tools to encourage personal innovativeness factor in order to increase the actual adoption rate of mobile banking.

TABLE OF CONTENTS
ABSTRACT i
中文摘要 ii
ACKNOWLEGEMENT iii
List of Tables vi
List of Figures vi
Chapter 1: Introduction 1
1. Research background and motivation 1
2. Research objectives 4
3. Research flow 4
Chapter 2: Overview of mobile banking 6
1. Mobile banking concept 6
2. Services on Mobile Banking 8
3. Advantages of Mobile Banking 10
4. Architecture of mobile banking 11
5. Popularity of mobile banking 12
6. Overview of mobile banking service in Vietnam 13
Chapter 3: Literature Review 16
1. Technology Acceptance Model 16
2. Research on Mobile banking 18
3. Constructs of the model 20
3.1. Perceived usefulness 20
3.2. Perceived ease of use 22
3.3. Perceived risks 23
3.4. Facilitating conditions 24
3.5. Personal innovativeness in information technology 25
Chapter 4. Research Design and Methodology 26
1. Conceptual model design 26
2. Construct measurement 28
2.1. Questionnaire design 28
2.2. Pilot study 29
3. Data processing 29
4. Data analysis procedure 30
Chapter 5. Data analysis and results 31
1. Data collection 31
2. Characteristics of respondents 31
1. Mobile banking usage status 33
1.1. Rate of adoption 33
1.2. Types of banking services performed through mobile phone 34
1.3. Advantages and disadvantages of mobile banking 34
2. Constructs reliability 35
3. Hypothesis tests 36
3.1. Relationship between TAM constructs 36
3.1.1. Direct effect of TAM constructs on Behavioral Intention 36
3.1.2. Relationship between BI and USAGE: H7 38
3.1.3. Direct effect of TAM constructs on mobile banking usage (USE) 39
3.2. Moderator affect of Personal innovativeness in technology 39
Chapter 6. Conclusion and Implication 45
1. Conclusion 45
2. Implication 46
Reference 49
Appendix 54

Adams, D., Nelson, R., & Todd, P. (1992). Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly , 227-247.
Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in domain of information technology. Information System Research , 204-215.
Aladwani, A. (2001). Online banking: A field stidy of drivers, development challenges, and expectations. International Journal of Information Management , 213-225.
Al-Gahtani, S., & King, M. (1999). Attitudes, satisfaction and usage: factors contributing to each in acceptance of information technology . Behavior and Information Technology , 277-297.
Bauer, R. A. (1960). Consumer behavior as risk taking. In R. S.Hancock (Ed.), Dynamic marketing for a changing world . Chicago: American Marketing Association, 389–398
Chang, P. (2004). The validity of an extended technology acceptance model (TAM) for predicting intranet/portal usage. NC: University of North Carolina.
Consult AN (2002). China Online Banking Study. Available: http://estore.chinaonline. com/chinonlbanstu.html.
Crabbe et al., 2009 M. Crabbe, C. Standing, S. Standing and H. Karjaluoto, An adoption model for mobile banking in Ghana, International Journal of Mobile Communications 7 (5) (2009), pp. 515–543.
Dat, N. Q. (2010). Vietnam Telecom Market. Hanoi: NTT Data.
Davis, F. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly , 319-340.
Davis, R. (2007). Conceptualizing and measuring the optimal experience of the e-learning environment. Decision Science Journal of Innovative Education , 97-126.
Doney, P., & Cannon, J. (1997). An examination of the nature of trust in buyer-seller relationship. Journal of Marketing , 35-51.
Durkin, M., Howcroft, B., O'donnell, A., & Quinn, D. (2003). Retail bank customer preferences: personal and remote interactions. International Joural of Retail and Distribution Management , 177-189.
Featherman, M., & Pavlou, P. (2003). Predicting e-service adoption: A perceived risk facet perspective. International Journal of Humnan- Computer Studies .
Goh, H. P. The Diffusion of Internet in Singapore. (1995) Academic Exercise, National University of Singapore.
Guriting, & Ndubisi. (2006). Borneo online banking: evaluating customer perceptions and behaviorial intention. Management Research News , 6-15.
Hair, J.F., Anderson, R.E., Tatham, R.L, & Black, W.C. (2006). Multivariate data analysis (Vol. 10). New York: Macmillan Publishing Company.
Hoang, M. (2003). Retrieved from Current status of Vietnamese e-commerce: http://unpan1.un.org/intradoc/groups/public/../UNPAN008970.pdf
Horton, R. P., Buck, T., Waterson, P., & Clegg, C. W. (2001). Explaining Intranet use with the technology acceptance model. Journal of Information Technology , 237-249.
Hoyer, W., & Maclnnis, D. (2008). Consumer Behavior. South-Western.
Hu, P., Chau, P., Sheng, O., & Tam, K. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information System , 91-112.
Jacoby, J. and Kaplan, L.B. (1972). The components of perceived risk. In V. M, Advances in Consumer Research. Chicago.
Jackson, C., Chow, S., & Leitch, R. (1997). Toward an understanding of behavioral intention to use an information system. Decision Sciences , 357-389.
Karahanna, E., Agarwal, R., & Angst, C.M. (2006). Reconceptualizing compatibility beliefs in technology acceptance research. MIS Quarterly, 30(4), 781-804
Kim, K., & Prabhakar, B. (2004). Initial trust and the adoption of B2C e-commerce: The case of internet banking. Database for advances in Information System , 50-64.
Kim, Y., & Han, H. (2008). The effects of perceived risk and technology type of users' acceptance of technologies. Information & Management , 1-9.
Kleijnen, M., & Wetzels, M. (2004). Consumer acceptance of wireless finance. Journal of Financial Services Marketing , 206-17.
Laforet S, L. X. (2005). Consumers' attitudes towards online and mobile banking in China. International Journal of Banking Marketing , 362-380.
Lederer, A., Maupin, D., Sena, M., & Zhuang, Y. (2000). The technology acceptance model and the word wide web. Decision Support Systems , 703-19.
Liao Z, Cheung MT (2002). Internet-based e-banking and consumer attitudes: an empirical study. Information Management, 39(4): 283-295
Lu, H., Hsu, C., & Hsu, H. (2005). An emperical study of the effect of perceived risk upon intention to use online applications. Information Management & Computer Security , 106-120.
Lu, J., Yu, C., Liu, C., & Yao, J. (2003). Technology acceptance model for wirless internet . Internet Research , 206-222.
Luarn, P., & Lin. (2005). Toward an understanding of the behavioral intention to use mobile banking. Computer in Human Behaviour , 873-91.
Mathieson, K., Peacock, E., & Chin, W. W. (2001). Extending the technology acceptance model: The influence of perceived user resources. DATA BASE for Advances in Information Systems, 32(3), 86-112.
Moon. J., & Kim, Y. (2001). Extending the TAM for a world-wide-web context. Information and Management, 38(4), 217-230
Nadim Jahangir, Noorjahan Begum. (2008). The role of perceived usefulness, perceived ease of use, security and privacy, and customer attitude to engender customer adaptation in the context of electronic banking. African Journal of Business Management Vol.2 (1), 032-040.
Ndubisi, N. (2005). Integrating the moderation effect of entrepreneurial qualities into the TAM model and treatment of potential confounding factors. Journal of Information Science and Technology , 28-48.
Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S., (2004). Consumer acceptance of online banking: An extension of technology acceptance model. Internet Research, 224-235
Polatogu, V., & Ekin, S. (2001). An empirical in investigation of the Turkish customer's acceptance of internet banking services. International Journak of Banking Marketing , 156-165.
Porgieter, M., & Kang. (2010). A Customized Technology Acceptance Model: Dont judge a Tawanese E-book market by its Cover. Hsinchu.
Ramayah, T., Dahlan, N., Mohamad, O., & Ling, K. (2003). Receptiveness internet banking by Malaysian consumers. Asian Academy of Management Journal , 1-29.
Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretical and Applied Electronic Commerce Research , 61-73.
Rao, S., & Troshani, I. (2007). A conceptual framework and propositions for the acceptance of mobile services. Journal of Theoretiacal and Applied Commerce Research , 61-73.
Review, V. F. (2009). Telephone & Internet Banking: FINDING FAVOR. Retrieved from Vietnam Financial Review: http://www.vfr.vn/index.php?option=com_content&task=view&id=1105&Itemid=11
Rogers, E. (1983). Diffusion of innovations. New York: Fress Press.
Rogers, E. (1995). The diffusion of innovations. New York: The Fress Press.
Riquelme, Hernan E.; Rios, Rosa E. (2010). The moderating effect of gender in the adoption of mobile banking. The International Journal of Bank Marketing, 28(5), 328-41.
SM, F., & B., S. (2003). Consumer patronage and risk perceptions in internet shopping. International Business Research , 867-75.
Srite, M., & Karahanna, E. (2006). The Role of Espoused National Cultural Values in Technology Acceptance. MIS Quarterly , 679-704.
State Bank, V. (2010). Retail Bank Service Report. Hanoi: Vietnam State Bank.
Suh, M., & Han, I. (2002). Effect of trust on customer acceptance of internet banking. Electronic Commerce Research and Application , 247-263.
Tan, M., & Teo, T. (2000). Factors influencing the adoption of internet banking. Journal of the Association for Information Systems , 1-42.
Taylor, S., & Todd, P. (1995). Understanding information technology usage: A test of competing models. Information Systems Research , 144-176.
Technology, I. (2007). Mobile banking- The future.
Thatcher, J.B and Perrewe, P.L. (2002). An empirical examination of individual traits as antecedents to computer anxiety and computer self-efficacy. MIS Quarterly 26, 381–396
Thompson, R.L., C.A. Higgins, J.M. Howell. (1991). “Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly 15(1) 125-143.
Turban, E., King, D., Viehland, D., et al. (2006). Electronic commerce 2006: A managerial perspective. New Jersey: Pearson Education.
Venkatesh, V., & Morris, M. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS Quarterly , 115-139.
Venkatesh, V., Morris, M., Davis, G., & Davis, F. (2003). User acceptance of information technology: Toward a unified view. MIS Quarterly , 425-478.
VNPT. (2011). Telecommunication 2010. Hanoi.
Wang, Y., Wang, Y., Lin, H., & Tang, T. (2003). Determinants of user acceptance of internet banking: an empirical study. International Journal of Service Industry Management , 501-19.
Wu, J. H., &Wang, S. C. (2005). What drives mobile commerce? An empirical evaluation of the revised technology acceptance model. Information and Management, 42(5), 719-729
Yi, K. F., & Park, J. (2006). Understanding the role of individual innovativeness in the acceptance of IT-based innovations: Comparative analyses of models and measures. Decision Sciences , 393–426.
Yiu, C., Grant, K., & Edgar, D. (2007). Factors affecting the adoption of internet banking in Hong Kong- implications for the banking sector. International Journal of Information Management .