跳到主要內容

臺灣博碩士論文加值系統

(216.73.216.172) 您好!臺灣時間:2025/09/11 05:30
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:方美窗
研究生(外文):Mei-Tsuang Fang
論文名稱:以科技接受模式結合創新擴散理論探討行動支付之使用意願
論文名稱(外文):Integrating Technology Acceptance Model and Innovation Diffusion Theory for Understanding Usage Intention of Mobile Payment Adoption
指導教授:吳純慧吳純慧引用關係
學位類別:碩士
校院名稱:國立虎尾科技大學
系所名稱:資訊管理系碩士在職專班
學門:電算機學門
學類:電算機一般學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:64
中文關鍵詞:行動支付科技接受模式創新擴散理論知覺風險
外文關鍵詞:mobile paymenttechnology acceptance modelinnovation diffusion theoryperceived risk
相關次數:
  • 被引用被引用:14
  • 點閱點閱:1276
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:1
利用智慧型手機等行動載具進行付款的行動支付已在全球各地成為一種新興的趨勢。行動支付將消費者的手機與錢包整合,正在顛覆傳統的現金交易方式,讓出門不用帶錢包的時代來臨。台灣2015年行動支付僅占台灣個人消費支出的26%,但是從金管會電子支付制定施政目標以及智慧行動裝置的普及率,可以預見行動支付的未來會更加蓬勃發展。然而,使用行動支付人數相對國外仍是少數,而國內少有文獻探討影響行動支付之使用意圖之原因。因此,本研究之目的希望透過創新擴散理論與科技接受模式加上知覺風險理論之整合,進行對於消費者是否會有使用行動支付的行為意圖之探討。
本研究採用量化研究之問卷調查法蒐集研究資料,受測對象為不限定是否有使用過行動支付經驗之消費者,再以偏最小平方法(Partial Least Squares, PLS)分析與驗證理論架構模型。研究結果顯示所有研究假設皆成立,具有顯著之影響效果。根據研究結果建議未來行動業者若想提高消費者行動支付的使用態度,應該要提昇行動支付的隱私安全、相對優勢、相容性、認知易用及認知有用,消費者的行動支付使用意願將會隨著提高。
Mobile payment using mobile vehicles like smartphone is an emerging and important trend all over the world. Smartphone will set wallet, credit cards, coupons, card reader all in one to replace credit cards and cash. Mobile payment only accounts for 26% of Taiwan''s personal consumption expenditure in 2015. However, mobile payment will be more and more popular according to the observation of the popularity rate of smart mobile vehicles and Taiwan Financial official policy. In fact, the popularity rate of Taiwan''s mobile payment adoption is still a minority relative foreign countries. Few studies reports concerning the usage intention of mobile payment adoption. This study aims to understand usage intention of mobile payment adoption based on technology acceptiance model, innovation diffusion theory and perceived risk theory. The questionnaire survey method was applied to collect research data from whom has ever or never used mobile payment. Collected data were analyzed using the Partial least squares method to examine all research hypotheses. The results have several implications for enterprises which want to increase the attitude towards using, they should improve the privacy security risk, relative advantage, compatibility, perceived ease of use and perceived usefulness. The usage intention of mobile payment adopting will be along with improvement.
摘要......i
Abstract......ii
誌謝......iii
目錄......iv
表目錄......vi
圖目錄......vii
第一章 緒論......1
1.1 研究背景與動機......1
1.2 研究目的......2
1.3 研究流程......3
第二章 文獻探討......4
2.1行動支付概述......4
2.2行動支付現況......9
2.2.1國際行動支付的現況......9
2.2.2國內行動支付的現況......11
2.3科技接受模式(Technology Acceptance Model)......16
2.4 創新擴散理論(Innovation Diffusion Theory)......20
2.5 知覺風險(Perceived Risk)......24
第三章 研究方法......27
3.1研究架構......27
3.2研究假設......28
3.3研究變數之理論性......30
3.4研究對象......33
第四章 資料分析......34
4.1 敘述性統計分析......34
4.2測量模式分析......38
4.3 結構模式分析與研究假說檢定......43
第五章 結論......45
5.1 結構模式分析與研究假說檢定......45
5.2 理論與管理意涵......46
5.3 研究限制......48
5.4 未來研究建議......48
參考文獻......49
附錄......54
Extended Abstract......59
簡歷(CV)......64
DIGITIMES物聯網(2017)。南韓2020年前廢除硬幣朝無現金國家邁進。http://digitimes.com.tw/iot/article.asp?cat=158&id=0000488950_MIX8CB446TUSLBLVBFTLY
DIGITIMES科技(2017)。大陸行動支付快速崛起市場交易總金額與美國差距持續擴大。http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?id=0000493856_5VS912L847HYR27P6PKEL
DIGITIMES電子時報(2017a)。馬來西亞2016年線上交易金額年增3成。http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?CnlID=9&id=0000496491_F4B3D2ASL8RFY40YIYMFI&ct=2#ixzz4eHr4mWEC
DIGITIMES電子時報b(2017b)。Samsung Pay登陸泰國行動支付大戰開打。http://www.digitimes.com.tw/tw/dt/n/shwnws.asp?CnlID=9&Cat=210&id=493464&query=%A6%E6%B0%CA%A4%E4%A5I
卡片業務營運中心(2016)。「滑經濟」時代之手機信用卡。彰銀資料第65卷第6期。
卡優新聞網(2015)。數位支付信用卡代碼化Token取代卡號更安全。http://www.cardu.com.tw/news/detail.php?nt_pk=8&ns_pk=27492
何淑熏、林裕淩、吳姮憓(2013)。檢驗網路銀行之採用意願—創新擴散理論與科技接受模式之貢獻, 中華管理評論國際學報, 第16卷第4期
林榮春、邱天佑、林茂雄(2011)。影響網路銀行實際使用行爲之研究。顧客滿意學刊,7(1),1-22
金融監督管理委員會(2016)。金融科技發展策略白皮書。2016年5月。
張昭容(2014)。行動支付使用者採用意圖之研究。國立臺灣大學資訊管理學研究所碩士論文。
郭旭程(2014)。行動支付使用意願之研究。正修科技大學資訊管理研究所碩士論文。
陳姿蓉(2014)。以科技接受模式探討消費者使用QR Code行動支付的行為意圖。國立交通大學管理科學系所碩士論文。
李宜樺(2016)。以整合性科技接受模型探討消費者之行動支付使用意圖。國立台灣科技大學管理學院碩士論文。
詹舒萍(2015)。以科技接受模型探討知覺風險影響台北市消費者對NFC―行動支付之使用意圖研究。交通大學經營管理研究所碩士論文。
游繼凱(2015)。淺談HCE與Tokenization 行動支付。ITs通訊2015年第19期。
楊玉奇(2016)。行動支付當道,驅動經濟新革命。台北產經。http://www.taipeiecon.taipei/article_cont.aspx?MSid=711302242025024236&MmmID=1201&CatID=653635047463112672
鍾興祺(2015)。以科技接受模式探討使用者採用NFC行動支付意圖。國立高雄應用科技大學企業管理系碩士論文.
魏杏如(2014)。不可不知的「第三方支付」。叡揚資訊股份有限公司。http://www.gss.com.tw/index.php/focus/eis/142-eis75/1275-eis75-11
Arvidsson, N. (2014). Consumer attitudes on mobile payment services–results from a proof of concept test. International Journal of Bank Marketing, 32 (2), 150-170.
Bagozzi, R. P., & Yi, Y. (1988). On the evaluation of structural equation models. Academic of Marketing Science, 16 (1), 76-94.
Bank for International Settlements (2012, May), Innovations in retail payments, Committee on Payment and Settlement Systems.
Bauer, R. A. (1960). Consumer Behavior as Risk Talking. In R. Hancock (Ed.), Dynamic Marketing for a Changing World, Marketing: Critical Perspectives (Vol. 67, pp. 13-21). Chicago: American Marketing Association.
Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43 (11), 98-105.
Chan, S., & Lu, M. (2004). Understanding Internet Banking Adoption and Use Behavior: A Hong Kong Perspective. Journal of Global Information Management (JGIM), 12(3), 21-43. doi:10.4018/jgim.2004070102
Chen, J. J., & Adams, C. (2005). User acceptance of mobile payments: a theoretical model for mobile payments. In Proceedings of the Fifth International Conference on Electronic Business (ICEB), Hong Kong.
Chin, W. W. (1998a). The partial least squares approach to structural equation modeling. In: G. A. Marcoulides (Ed.), Modern Methods for Business Research (pp. 295–358). Mahwah, NJ: Lawrence Erlbaum Associates.
Chin, W. W. (1998b). Issues and opinion on structural equation modeling. MIS Quarterly, 22 (1), 7-16.
Cox, D. F. (1967). Risk handling in consumer behavior-an intensive study of two cases, Risk taking and information handling in consumer behavior. Boston: Harvard University Press, 34-81.
Cox, D. F. (1967). Risk handling in consumer behavior-an intensive study of two cases. Risk taking and information handling in consumer behavior, 34-81.
Cunningham, S. M. (1967). The major dimensions of perceived risk. Risk taking and information handling in consumer behavior, 1, 82-111.
Dahlberg, T., & Oorni, A. (2007). Understanding changes in consumer payment habits-do mobile payments and electronic invoices attract consumers?. In System Sciences, 2007. HICSS 2007. 40th Annual Hawaii International Conference on (pp. 50-50). IEEE.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 35 (8), 982-1003.
Dowling, G. R., & Staelin, R. (1994). A model of perceived risk and intended risk-handling activity. Journal of consumer research, 21(1), 119-134.
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research.Reading, MA: Addison-Wesley.
Fornell, C. R. & Larcker, F. F. (1981), “Structural Equation Models with Unobservable Variables and Measurement Error,” Journal of Marketing Research, 18, pp.39-51.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business research, 56 (11), 867-875.
Gu, J. C., Lee, S. C., & Suh, Y. H. (2009). Determinants of behavioral intention to mobile banking. Expert Systems with Applications, 36(9), 11605-11616.
Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1998), “Multivariate Data Analysis (5th ed),” Upper Saddle River, NJ: Practice Hall.
Jarvenpaa, S. L., & Todd, P. A. (1996). Consumer reactions to electronic shopping on the World Wide Web. International journal of electronic commerce, 1(2), 59-88.
Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. In SV-Proceedings of the third annual conference of the association for consumer research.
Kim, G., Shin, B., & Lee, H. G. (2009). Understanding dynamics between initial trust and usage intentions of mobile banking. Information Systems Journal, 19(3), 283-311.
Miyazaki, A. D., & Fernandez, A. (2001). Consumer perceptions of privacy and security risks for online shopping. Journal of Consumer affairs, 35(1), 27-44.
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.
Moore, G. C., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information systems research, 2(3), 192-222.
Murphy, P. E., & Enis, B. M. (1986). Classifying products strategically. The Journal of Marketing, 24-42.
Rogers, E. M. (1962). Diffusion of innovations, (3th Ed.). New York, NY: The Free Press.
Rogers, E. M. (1983). Diffusion of innovations, (3th Ed.). New York, NY: The Free Press.
Rogers, E. M. (1995). Diffusion of innovations, (4th Ed.). New York, NY: The Free Press.
Rogers, E. M. (2002). Diffusion of preventive innovations. Addictive Behaviors, 27(6), 989−993.
Schmidt, J. B., & Spreng, R. A. (1996). A proposed model of external consumer information search. Journal of the academy of Marketing Science, 24(3), 246-256.
Shin, D. H. (2009). Towards an understanding of the consumer acceptance of mobile wallet. Computers in Human Behavior, 25(6), 1343-1354.
Malinga, S. (2017). Mobile payment market to increase by 25%. http://www.itweb.co.za/index.php?option=com_content&view=article&id=158479
Sambamurthy, V., & Chin, W. W. (1994). The effects of group attitudes toward alternative GDSS designs on the decision-making performance of computer-supported groups. Decision Sciences, 25(2), 215–241. doi:10.1111/j.1540-5915.1994.tb01840.x
Stone, R. N., & Gr?nhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
Taylor, S., & Todd,P. (1995). Assessing IT Usage: The Role of Prior Experience. MIS Quarterly, 19(4), 561-570.
Tornatzky, L. G., & Klein, J. K. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29(1), 28−45.
Urbach, N., & Ahlemann, F. (2010). Structural equation modeling in information systems research using partial least squares. Journal of Information Technology Theory and Application, 11(2), 5–40.
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.
Zeng, Q., & Ma, J. (2016). Understanding the Role of Individual Perception on Mobile Payment: Moderating or Mediating. Journal of Advanced Management Science, 4(3).
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top