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研究生:楊淑美
研究生(外文):YANG,SHU-MEI
論文名稱:從延伸型整合科技接受模式探討消費者對行動支付使用意願之研究
論文名稱(外文):From the Model of Extended Integration Technology Acceptance to Discovery Consumers' Willingness to Pay for Operational Payment
指導教授:王怡強王怡強引用關係
指導教授(外文):WANG,I-CHIANG
口試委員:陳天惠簡施儀
口試委員(外文):CHEN,TIEN-HUICHIEN,SHIH-YI
口試日期:2018-01-15
學位類別:碩士
校院名稱:南臺科技大學
系所名稱:行銷與流通管理系
學門:商業及管理學門
學類:行銷與流通學類
論文種類:學術論文
論文出版年:2018
畢業學年度:106
語文別:中文
論文頁數:83
中文關鍵詞:行動支付延伸性整合科技
外文關鍵詞:Apple PaySamsung PayAndroid Pay
相關次數:
  • 被引用被引用:9
  • 點閱點閱:730
  • 評分評分:
  • 下載下載:15
  • 收藏至我的研究室書目清單書目收藏:6
隨著科技資訊的普及發展下,目前國際三大行動支付Apple Pay、Samsung Pay、Android Pay與信用卡組織及各大銀行的合作模式,把實體信用卡虛擬化,成為手機信用卡手機付款的過程就是所謂的行動付款。本研究主要目在探討一般消費者對於行動支付的使用行為之影響因素,以延伸性整合科技接受模型為主要理論架構,並考慮其他可能影響消費者行為模式的調節變項,加入性別、年齡和教育程度等調節變項,發展出本研究架構探討績效期望、付出預期、社會影響、便利條件、享樂動機、價值和習慣等特性對消費者的行動支付使用態度與使用意願之影響分析。

本研究主要是非以電腦隨機的民眾做為抽樣對象,問卷以立意方式進行資料蒐集,共回收350份的有效問卷,以SPSS.24統計軟體進行假說驗證。研究發現結果如下:(1)績效期望、付出預期、社會影響、便利條件、享樂動機、價值、習慣會對使用意圖有正向影響功能。(2)性別具有部份調節功能,年齡及教育程度不具有調節功能。最後,根據研究結果提出管理意涵包括(1)降低使用者對行動支付的不安全與不確定性,以提高生活品質創造績效預期的提升。(2)簡化行動支付的操作流程,提高使用者的付出預期。(3)提供資源、技術合作機會,透過優惠促銷提高行動支付使用意圖,創造價值、便利條件的提升。(4)商家利用網際網路,讓行動支付發揮綜效,提高享樂動機。(5)培訓專業的網路行銷人才,讓習慣問題再提升。(6)提高調節變數的支持。

The process of becoming a mobile phone credit card mobile payment is the so-called action payment is to be the credit card virtualization model because the popularization and development of scientific and technological information.

This study’s purpose is to explore the impact of general consumers on the use of mobile payment behavior, extend the integration of science and technology to accept the model as the main theoretical framework. In addition, consider other adjustments may affect consumer behavior patterns. This research framework developed to analyze the impact of performance expectations, expectations, social impacts, convenience conditions, hedonic motivation, value and habits on consumer attitudes and willingness to use actions.

The study is mainly method based on the computer random as a questionnaire data to collect the samples and the 350 valid questionnaires were collected. The research uses SPSS.24 to do the hypothesis verification. The findings are as follows:(1) The expectations, social impacts, convenient conditions, pleasure motivation, values and habits have a positive impact on the intention to use. (2) Gender has some moderating effect, age and education do not have moderating effect. Finally, according to the research results proposed management implications include (1) Reduce the user's unsafe and uncertain payment of the action, to improve the quality of life and to create performance expectations increase. (2) Simplify the operational flow of payment, improve the user's expectations. (3) Provide resources and technical cooperation opportunities, through the promotion of promotional offers to pay for the use of the intention to create value and facilitate the improvement of conditions. (4) Stores use the internet, let the action pay will be synergy effect, improve the motivation for hedonism. (5) Training professional network marketing personnel, habit problems to upgrade. (6) To improve the moderating variables for support.

目 次
摘 要 I
ABSTRACT II
誌 謝 III
目 次 IV
表目錄 VII
圖目錄 IX
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 4
2.1.1行動支付定義 4
2.1.2行動支付類型 5
2.2科技接受模型沿革說明 7
2.2.1科技接受模型(TAM) 7
2.2.2科技接受模式二(TAM2) 8
2.2.3整合性科技接受模型(UTAUT) 10
2.2.4延伸型整合科技接受模式UTAUT2 12
2.3各項研究變項之間的關係 14
2.3.1績效期望與使用意圖之間的關係 14
2.3.2付出預期與使用意圖之間的關係 14
2.3.3社會影響與使用意圖之間的關係 15
2.3.4便利條件與使用意圖之間的關係 15
2.3.5享樂動機與使用意圖之間的關係 15
2.3.6價值與使用意圖之間的關係 16
2.3.7習慣與使用意圖之間的關係 16
2.3.8性別、年齡、教育程度與使用意圖之間的關係 16
第三章 研究方法 18
3.1研究架構 18
3.2研究假說 19
3.3研究變項之操作性定義 20
3.4研究變項之衡量題表 20
3.5問卷設計 22
3.5.1前測問卷分析及修正 23
3.6資料分析方法 28
3.6.1敘述統計分析(Descriptive Statistics) 29
3.6.2因素分析(Factor Analysis) 29
3.6.3信度和效度檢定(Reliability Analysis) 29
3.6.4相關分析(Correlation Analysis) 29
3.6.5迴歸分析(Regression Analysis) 29
3.6.6階層式迴歸分析(Hierarchical linear modeling) 30
第四章 研究結果與分析 31
4.1敘述性統計分析 31
4.1.1樣本人口統計變項分析 31
4.2因素分析與信、效度檢定 32
4.2.1因素分析 32
4.2.2信度分析 37
4.2.3效度分析 39
4.3相關分析 41
4.4迴歸分析、階層式迴歸分析及各項驗證假說 42
4.4.1迴歸分析及各項驗證假說 42
4.4.2階層式迴歸分析及各項驗證假說 47
4.5研究結果 52
第五章 結論與建議 54
5.1研究結論 54
5.2管理意涵 56
5.3研究限制 59
5.4未來研究建議 60
中文文獻 62
英文文獻 63
其他參考資料 68
附錄、問卷 69

表目錄
表2- 1科技接受模式一(ATM)主要構面及定義 8
表2- 2科技接受模式二(ATM2)主要構面及定義 10
表2- 3整合性科技接受模式(UTAUT)主要構念及定義 11
表2- 4延伸型整合科技接受模式UTAUT2相關理論 12
表2- 5延伸性整合科技接受模式(UTAUT2)構念及定義 14
表3- 1本研究假設彙整表 19
表3- 2調節變項假說彙整表 19
表3- 3研究變項的衡量題項表 21
表3- 4人口統計變項的定義與問卷設計 23
表3- 5績效期望構念的前測因素分析 24
表3- 6付出預期構念的前測因素分析 24
表3-7社會影響構念的前測因素分析 24
表3- 8便利條件構念之前測因素分析 25
表3- 9享樂動機構念的前測因素分析 25
表3- 10價值構念的前測困素分析 26
表3- 11習慣構念的前測因素分析 26
表3- 12行動支付使用意圖之前測因素分析 26
表3- 13各構念因素的前測信度檢定 27
表4- 1樣本基本資料分析 32
表4- 2績效預期構念的因素分析 33
表4- 3付出預期構念的因素分析 34
表4- 4社會影響構念的因素分析 34
表4- 5便利條件構念的因素分析 35
表4- 6享樂動機構念的因素分析 35
表4- 7價值構念的因素分析 36
表4- 8習慣構念的因素分析 37
表4- 9行動支付使用意圖構念的因素分析 37
表4- 10各構念因素之信度檢定 38
表4- 11各構念之建構效度 40
表4- 12各構念的準則效度 41
表4- 13各變項與行動支付使用意圖的皮爾相關分析 43
表4- 14績效期望對行動支付使用意圖的迴歸分析 43
表4- 15付出預期對行動支付使用意圖的迴歸分析 43
表4- 16社會影響對行動支付使用意圖的迴歸分析 44
表4- 17便利條件對行動支付使用意圖的迴歸分析 45
表4- 18享樂動機對行動支付使用意圖的迴歸分析 45
表4- 19價值對行動支付使用意圖之迴歸分析 46
表4- 20習慣對行動支付使用意圖的迴歸分析 47
表4- 21性別調節效果的階層式迴歸分析 49
表4- 22年齡調節效果的階層式迴歸分析 50
表4- 23教育程度調節效果的階層式迴歸 52
表4- 24研究假說與檢定結果彙整表 53


圖目錄
圖1- 1研究流程 3
圖2- 1行動支付生態系統 5
圖2- 2實體信用卡虛擬化 6
圖2- 3帳戶儲值 7
圖2- 4科技接受模式(TAM) 8
圖2- 5科技接受模式(TAM2) 9
圖2- 6整合性接受模型(UTAUT) 11
圖2- 7延伸性整合性科技接受模式(UTAUT2) 13
圖3- 1研究架構圖 18





中文文獻
1.何苔麗、徐慧霞、陳照森(2012),應用消費者接受模式探討手機應用程式服務之再購意願,電子商務研究,第10卷.第3期:235-255頁。
2.吳錫惠、吳賜聲(2012),運用科技接受模式探討使用者在行動通訊上網之影響因素-以智慧型手機為例,萬能商學學報,第17期:81-102頁。
3.呂哲宇(2016),消費者使用行動支付意願之研究:UTAUT模型之應用,國立臺北大學企業管理學系碩士論文未公開P.10-25。
4.拓墣產業研究所著(2016),全球智慧型手機產業發展趨勢,台北巿:拓墣科技。
5.林思翰(2016),數位金融時代之行動支付個案研究,國立交通大學管理學院經營管理學程碩士論文未公開。
6.胡自立(2015),商機篇-行動支付發展機會與挑戰,台北巿:財團法人資訊工業策進會產業情報研究所。
7.胡自立(2015),國內篇-行動支付發展現況與影響,台北巿:財團法人資訊工業策進會產業情報研究所。
8.胡自立(2015),國際篇-行動支付趨勢與業者動態,台北巿:財團法人資訊工業策進會產業情報研究所。
9.孫一仕、施祖琪、蕭俊傑譯(2013),BANK 3.0銀行轉型未來式,BRETT KING著,台北巿,傳播出版中心。
10.曹金成(2008),物業管理系統使用行為之研究-UTAUT 模型之應用,國立臺北大學企業管理學系碩士論文。
11.曾裕文(2011),我國行動支付之業務應用探討。財經資訊季刊,69,2-7。
12.劉文良(2007),電子商務與網路行銷(第二版),台北市:碁峰資訊。
13.劉文良(2014),電子商務與網路行銷(第五版),台北市:碁峰資訊。
14.劉美琪(1995),促銷管理理論與實務,台北市:正中書局。
15.蔣訓林(2013),淺析我國移動支付的常見模式。中國電子商務,19,34-35。
16.盧‧納特(2017),行動支付大解構:掌握新消費習慣,台北巿:四塊玉文創(股)。


英文文獻
1.Aiken, L. S. and West, S. G. (1991), Multiple regression: Testing and interpreting interactions, Newbury Park, CA: Sage Publications.
2.Ajzen, I. & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior, NJ: Prentice-Hall.
3.Ajzen, I. (1985). From intentions to actions: A Theory of Planned Behavior, in Action-Control: From Cognition to Behavior, Heidelberg, Germany: Springer.
4.Ajzen, I., & Fishbein, M. (2005). The influence of attitudes on behavior. The handbook of attitudes, 173-221.
5.Bamasak, O. (2011). Exploring consumers acceptance of mobile payments - An empirical study. International Journal of Information Technology, Communications & Convergence, 1(2), 173-185.
6.Brown, S.A. & Venkatesh, V. (2005). “Model of adoption of technology in the household: a baseline model test and extension incorporating household lifecycle.” MIS Quarterly, 29(4), 399-426.
7.Campbell, S.W. and M.J. Kelley (2006). Mobile Phone Use in AA Networks: An Exploratory Study. Journal of Applied Communication Research 34(2): 191-208.
8.Chan, S. C., & Lu, M. T. (2004). Understanding Internet banking adoption and user behavior: A Hong Kong perspective. Journal of Global Information Management, 12 (3) pp.21-43.
9.Chen, L.-d. (2008). A model of consumer acceptance of mobile payment. International Journal of Mobile Communications, 6(1), 32-52.
10.Cheong, J., Park, M., & Hwang, J. (2004). Mobile payment adoption in Korea: Switching from credit card. 15 th International Telecommunication Society Europe Regional Conference, 5-7 th September, Berlin.
11.Dahlberg, T., Mallat, N., Ondrus, J., & Zmijewska, A. (2008). Past, present and future of mobile payments research: A literature review. Electronic Commerce Research & Applications, 7(2), 165-181.
12.Davis, F.D. (1986). “A technology acceptance model for empirically testing new end-user information systems: theory and results.” Doctoral Dissertation, Sloan School of Management, Massachusetts Institute of Technology.
13.Davis, F.D. (1989). “Perceived usefulness, perceived ease of use, and user acceptance of information technology.” MIS Quarterly, 13(3), 319-340.
14.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.
15.Davis, F.D., Bagozzi, R.P. & Warshaw, P.R. (1992). “Extrinsic and intrinsic motivation to use computers in the workplace.” Journal of Applied Social Psychology, 22(14), 1111-1132.
16.De Mooij, M. (2000). “The future is predictable for international marketers: converging incomes lead to diverging consumer behavior.” International Marketing Review, 17(2), 103-113.
17.Defleur, M.L. & Ball-Rokeach, S.J. (1989). Theories of Mass Communication, Longman, New York, NY.
18.Degeratu, A.M., Rangaswamy, A. & Wu, J. (2000). “Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and 99 other search attributes.” International Journal of Research in Marketing, 17, 55-78.
19.Dickerson, M.D. & Gentry, J.W. (1983). “Characteristics of adopters and non-adopters of home computers.” Journal of Consumer Research, 10(2), 225-235. 53. Dodds, W.B., Monroe, K.B. & Grewal, D. (1991). “Effects of price, brand, and store information on buyers.” Journal of Marketing Research, 28(3), 307-319.
20.Dunphy, J. (1995). “Knowledge management: what every information professional should know.” Information Management Journal, 34(3), 10-16.
21.Fishbein, M. & Ajzen I. (1975). “Belief, attitude, intention and behavior: an introduction to theory and research.” Reading, MA: Addison-Wesley.
22.Fishbein, M., & Ajzen, I. (1975), Belief, attitude, intention and behavior: An introduction to theory and research. New York: Addison-Wesley Publishing.
21 Fornell, C. & Larcker, D.F. (1981). “Evaluating structural equation models with unobservable and measurement errors.” Journal of Marketing Research, 18(1), 39-50.
23.Fornell, C., Michael, D.J., Eugene, W.A., Jaesung, C. & Barbara, E.B. (1996). “The American customer satisfaction index: nature, purpose, and findings.” Journal of Marketing, 60 (4), 7-18. 100.
24.Gaski, J.F. & Nevin, J.R. (1985). “The differential effects of exercised and unexercised power sources in a marketing channel.” Journal of Marketing Research, 22(2), 130-142.
25.Gatignon, H. & Robertson, T.S. (1985). “A propositional inventory for new diffusion research.” Journal of Consumer Research, 11(4), 849-867.
26.Goeke, L., & Pousttchi, K. (2010). A scenario-based analysis of mobile payment acceptance. Ninth International Conference on Mobile Business, Athens, June 13-15, 371-378.
27.Goldsmith, R.E., Eastman, J.K. & Freiden, J. (1995). “The generality/specificity issue in consumer innovativeness research.” Technovation, 15(10), 601-612.
28.Ishii, K., (2006). Implications of Mobility: The Uses of Personal Communication Media in Everyday Life. Journal of Communication 56(2), 346-365.
29.Kotler, P. (1991), “Planning Implementing and Control,” Journal of Marketing Research, 17(7), 79-84.
30.Kotler, P. (2000), Marketing Management: Analysis, Planning, Implementation and Control, 8th edition, New Jersey, Prentice Hall Inc.research model to examine adoption of mobile payments: An extension of UTAUT2. The Marketing Review, 14(3), 311-336.
31.Lee, C.-P., Warkentin, M., & Choi, H. (2004). The role of technological and social factors on the adoption of mobile payment technologies.
32.Mallat, N. (2007). Exploring consumer adoption of mobile payments - A qualitative study. The Journal of Strategic Information Systems, 16(4), 413-432.
33.Merlo, L., & Stone, A. (2007). Anxiety linked with increased cell-phone dependence, abuse anxiety. Anxiety Disorders Association of America 28th Annual Meeting.
34.Merlo, L., & Stone, A. (2007). Anxiety linked with increased cell-phone dependence, abuse anxiety. Anxiety Disorders Association of America 28th Annual Meeting.
35.Murray, K.B., Liang, J., & Häubl G. (2010). Act 2.0: the next generation of assistive consumer technology research, Internet Research, 20(3), 232-254.
36.Rogers, E.M. & Shoemaker, F.F. (1971). Communication of Innovations: a cross-cultural approach. New York: The Free Press.
37.Rogers, E.M. (1962). Diffusion of Innovations. New York : Free Press, 79-86.
38.Rogers, E.M. (1983). Diffusion of innovations (3rd ed.). New York: The Free Press.
39.Rogers, E.M. (1995). Diffusion of innovations. New York: Free Press.
40.Rogers, E.M. (2003). Diffusion of innovations (5th ed.) New York: The Free Press.
41.Varshney, U., Vetter, R. & Kalakota, R. (2000). “Mobile commerce: a new frontier.” IEEE Computer, 33(10), 32-38.
42.Venkatesh, V. & Davis, F.D. (2000). “A theoretical extension of the technology acceptance model: four longitudinal field studies.” Management Science, 45(2), 186-204. Venkatesh, V., Morris, M.G., Davis, G.B. & Davis, F.D. (2003). “User acceptance of information technology: toward a unified view.” MIS Quarterly, 27(3), 425-478.
43.Venkatesh, V., Thong, J.Y. L.& Xu, X. (2012). “Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology.” Forthcoming in MIS Quarterly, 36(1), 157-178.
44.Veryzer, R.W. & Hutchinson, W.J. (1998). “The influence of unity and prototypicality on aesthetic responses to new product designs.” Journal of Consumer Research, 24(4), 374-394.
45.Vincent, J. (2005). Are people affected by their attachment to their mobile phone? In: K. Nyiri (Ed.), A sense of place: The global and the local in mobile communication, Vienna: Passagen Verlag, 221-230.
46.Vincent, J. (2006). Emotional attachment and mobile phone. Knowledge, Technology and Policy, 19(1), 3-7.
47.Vincent, J. (2006). Emotional Attachment and Mobile Phones. Knowledge, Technology & Policy (19:1), pp. 39-44.
48.Voss, K.E., Spangenberg, E.R. & Grohman, B. (2003). “Measuring the hedonic and utilitarian dimensions of consumer attitude.” Journal of Marketing Research, 111 40(3), 310-320.
49.Wehmeyer, K. (2007). Assessing users' attachment to their mobile devices. Proceedings of the sixth international conference on the management of mobile.
50.Wei, R., and Lo, V., (2006). Staying Connected While on the Move: Cell Phone Use and Connectedness. New Media and Society, 18, 1, 2006, p. 53-72.
51.Wu, J. H. & Wang, S. C. (2005), “What drives mobile commerce: An empirical evaluation of the revised technology acceptance model, Information & Management. Amsterdam, 42 (5) pp.719-729.
52.Zeng, Q., & Ma, J. (2016). Understanding the Role of Individual Perception on Mobile Payment: Moderating or Mediating. Journal of Advanced Management Science, 4(3), 195-200.

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