跳到主要內容

臺灣博碩士論文加值系統

(2600:1f28:365:80b0:45cf:c86b:e393:b18b) 您好!臺灣時間:2025/01/13 09:19
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

: 
twitterline
研究生:陳鳳庭
研究生(外文):Feng-Ting CHEN
論文名稱:以延伸性科技接受模式探討消費者對網路繳費使用意願之研究
論文名稱(外文):A Study of Consumer Intention to Pay Online by an Extended Technology Acceptance Model
指導教授:褚志鵬褚志鵬引用關係洪晨桓洪晨桓引用關係
指導教授(外文):Chih-Peng ChuChen-Huan Hong
學位類別:碩士
校院名稱:國立東華大學
系所名稱:管理學院高階經營管理碩士在職專班
學門:商業及管理學門
學類:企業管理學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:113
中文關鍵詞:網路繳費科技接受模型習慣信任結構方程模式TAM2
外文關鍵詞:online paymenttechnology acceptance modelhabittruststructural equation modelingTAM2
相關次數:
  • 被引用被引用:23
  • 點閱點閱:1292
  • 評分評分:
  • 下載下載:381
  • 收藏至我的研究室書目清單書目收藏:5
隨著資通訊科技的蓬勃發展,電子商務的代收金流部分漸漸受到業界的重視,提供24小時全年無休且無遠弗屆的自動化繳費平台,不僅可大幅降低回收成本,更可提供多客戶多樣化的服務項目,提高顧客滿意度。本研究的研究對象為曾經使用過網路繳費的使用者,以 (Venkatesh & Davis, 2000) 的科技接受模式延伸模式TAM2 為理論基礎,並根據相關文獻修正構面的變數,加入「習慣」與「信任」變數以實證研究的方式探討影響消費者採用網路繳費的因素,問卷發放自2011年3月18日至2011年4月20止,有效樣本數228份,利用SPSS12.0與AMOS 5.0統計軟體進行分析建立結構方程模式來檢定變數的路徑是否具有顯著性,並藉以驗證本研究假說。研究結果發現(1)使用者的「習慣」因素對網路繳費的「知覺有用性」、「知覺易用性」與「使用意圖」均有顯著的正向影響;(2)使用者的「信任」、「知覺有用性」因素對網路繳費的「使用意圖」有顯著的正向影響;(3) 「知覺易用性」、「相容性」因素對網路繳費的「知覺有用性」有顯著的正向影響;(4)曾使用過網路繳費受訪者中最常使用的網路繳費服務為線上繳費系統。
With the rapid development of information and communication technologies, collection of payment by internet getting attention to some industries. Providing 24 hours a day and far-reaching platform for the automation of payment, not only can greatly reduce recovery cost, but also provide a variety of services to customers and improve customer satisfaction.The participants in this study is the users with online paying system experience.We adopt the extended model of technology acceptance model (TAM2) (Venkatesh & Davis, 2000) as the theoretical basis and modified the TAM2, by adding two variables of "habit" and "trust" to process an empirical study of consumer adoption of online payment. We delivered questionnaires from 18 March 2011 to 20 April 2011, resulting in 228 effective observations. Then we used statistical software of SPSS12.0 and AMOS 5.0 to test our hypotheses. The results indicate that (1) the factor of user's "habit" has positive effect on the "perceived usefulness", "perceived ease of use" and "intended use" (2) the factors of users’ "trust", "perceived usefulness" have positive influence on the"intention to use"; (3) the factors of "perceived ease of use" and "compatibility" have positive influence on the " perceived usefulness”; and (4) respondents who had used the online paying system often use the Internet payment service for online payment.
封面
摘要
英文摘要
目錄
圖目錄
表目錄
第一章 緒論
第一節 研究背景
第二節 研究動機與目的
第三節 研究流程
第二章 文獻探討
第一節 台灣電信市場發展現況
第二節 中華電信帳單繳費作業介紹
第三節 使用者對資訊科技採用行為
第四節 科技接受模式之相關研究
第五節 使用者對於網路繳費接受度的外部變數
第三章 研究方法
第一節 研究架構
第二節 研究變數與操作型定義
第三節 研究假設
第四節 變數衡量與問卷設計
第五節 資料蒐集方法
第六節 資料分析方法
第七節 問卷前測方式
第四章 資料分析
第一節 樣本結構之敘述性分析
第二節 信效度分析
第三節 獨立樣本T檢定
第四節 差異性檢定分析
第五節 結構模式分析
第六節 中介變數分析
第七節 研究假設檢定結果
第五章 結論與建議
第一節 研究結論
第二節 管理實務上的建議
參考文獻
附錄
1.中華電信全球資訊網(http://www.cht.com.tw/Company.php?CatID=4)
2.台灣商務網(2008)成功整合繳費稅代收平台 開啟電子金融產業新局。2008 年12月24日,網址:http://www.taiwanpage.com.tw/news/000020294.html
3.行政院金融監督管理委員會(http://www.fsc.gov.tw/fsd/fncl_mp.asp)
4.朱莉芳(2011)。「探討影響電子書使用意圖之因素-計劃性行為理論與科技接受模式觀點」,國立成功大學企業管理學系碩士論文。
5.余泰魁 (2006)。認知型態與網路教學課程採用行為意向之實證研究。
6.吳明隆、涂金堂, (2005)。 SPSS 與應用統計分析。五南出版社。
7.周家慧、張善斌、范垂仁、顧為元(2004)。綜合所得稅網路結算申報系統的接受度之研究。電子商務研究,2(4),359~380。
8.林美玲(2005)。「網路購物顧客接受模式之研究」,成功大學高階管理研究所碩士論文。
9.林君育(2006)。「影響採用個人網路ATM因素之研究」,中央大學企業管理研究所碩士論文。
10.財團法人台灣網路資訊中心(2010)。2010年台灣寬頻網路使用調查報告。中華民國 99 年3月30日,網址:http://www.twnic.net.tw/download/200307/200307index.shtml
11.國家通訊傳播委員會全球資訊網(http://www.ncc.gov.tw/)
12.張春興(1991)。心理學。東華書局。
13.張馨方(2009)。「員工採用即時通訊電腦軟體之行為意圖 」,國立東華大學企業管理學系碩士在職專班碩士論文。
14.邱郁文、方國定(2005)。整合知覺玩興構面擴充資訊科技接受模式─ 以入口網站為例 。 資訊管理展望 7(1)。
15.資策會 MIC ( 2010 )。台灣網路使用者行為分析。2010年1月7日,網址:http://www.itis.org.tw/
16.資策會 MIC ( 2010 )。台灣資通訊產業發展現況。2010年3月,網址:http://www.itis.org.tw/
17.陳姿伃(2008)。「網站品質、顧客滿意與習慣對顧客忠誠之實證研究--以台灣旅遊網站為例」 ,致理技術學院服務業經營管理研究所碩士論文。
18.蔡佳穎(2009)。「創新擴散理論對網路銀行接受度的影響-科技接受模式的應用」,大同大學事業經營學研究所碩士論文。
19.蕭銘雄、鄭曉平(2008)。以延伸式科技接受模型探討消費者線上投保人壽保險之意願。電子商務學報,10 (1),1-26。
20.Visa台灣網站,網址:http://www.visa-asia.com/ap/tw/mediacenter/pressrelease/NR_tw_250511.shtml
21.Adams, D. A., Nelson R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use and usage of information technology: A replication. MIS Quarterly,16(2), 227-247.
22.Agarwal, R. & Prasad, J. (1998). The antecedents and consequents of user perceptions in information technology adoption, Decision Support Systems, 22(1), 15-29.
23.Ajzen, I., & Fishbein, M. (1975). A bayesian analysis of attribution processes. Psychological Bulletin, 82(2), 261-277.
24.Ajzen, I. (1985). From intentions to actions: a theory of planned behavior, action-control: from cognition to behavior. Heidelerg: Springer, Verlag, 11-39.
25.Anderson, J. C., & Gerbing, D. W. (1988). Structural equation modeling in practice: Areview and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
26.Bagozzi, R. P., & Youjae, Y. (1988). On the evaluation of structural equation models.Journal of the Academy of Marketing Science, 16(1), 74.
27.Bandura, A. (1986). Social Learning Theory, Englewood Cliffs, NJ, US: Prentice Hall, 617.
28.Boyle, R. & Ruppel, C. (2004). On-line purchasing intent: the effect of personal innovativeness, perceived risk, and computer self-efficacy, in The 7th Annual Conference ofthe Southern Association for Information Systems, 131-137.
29.Bush, R. F., Tatham, R. L., & Hair Jr, J. F. (1976). Community Location Decisions By Franchisors: A Comparative Analysis. Journal of Retailing, 52(1), 33-42.
30.Chen, L., Gillenson, M.L., & Sherrell, D.L. (2002). Enticing online consumers: an extended technology acceptance perspective, Information & Management, 39 (19), 705-719.
31.Chen, L.D., Mark L.G. & Daniel L.S. (2004), Consumer acceptance of virtual stores: atheoretical model and critical success factors for virtual stores, ACM SIGMIS Database, 35(2), 8-31.
32.Cho, V., & Cheung, I. (2003). A study of on-line legal service adoption in Hong Kong, in The 9th Conference of the Academy Of Business & Administrative Sciences, Vancouver,Canada, 24-26.
33.Compeau, D. R., & Higgins, C. A. (1995a). Application of social cognitive theory to training for computer skills, Information Systems Research, 6(2), 118-143.
34.Compeau, D. R., & Higgins, C. A. (1995b). Computer self-efficacy:Development of a measure and initial test.MIS Quarterly, 13 (3), 319-340.
35.Craig, V.S., France, B. & Christie, L.C. (2004). Factors influencing the adoption of web-based shopping: the impact of trust, ACM Sigmis Database, 35(2), 32-49.
36.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, Cambridge,
MA.
37.Davis, F.D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 318-339.
38.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.
39.Evans, K.R., Christiansen, T., & Gill, J.D. (1996). The impact of social influence and role expectations on shopping center patronage intentions, Journal of the Academy of Marketing Science, 24(3), 208-218.
40.Farhad, S. (2002). Adoption of M-commerce, Postgraduate Thesis of Information and Communication Technology, Agder College.
41.Fishbein, M., & Ajzen, I. (1975). Beliefs, attitude, intention and behavior: An introduction to theory and research. Philippines: Addison-Wesley Publishing Company.
42.Fishbein, M., & Ajzen, I. (1980). Understanding attitudes and predicting social behavior. Englewood Cliffs, NJ: Prentice-Hall.1
43.Gefen, D. (2000). E-commerce: the role of familiarity and trust.Omega, 28,725-737.
44.Gefen, D. (2003). TAM or just plain habit: A look at experienced online shoppers, Journal of End User Computing, 15(3), 1-13.
45.Hanudin Amin (2007). An analysis of mobile credit card usage intentions. Information Management & Computer Security. 15( 4), 260-269
46.Ha, S., & Stoel, I. (2009). Consumer e-shopping acceptance: Antecedents in a technology acceptance model. Journal of Business Research, 62(5), 565-571.
47.Holak, S.L., & Lehmann D.R. (1990). Purchase intentions and the dimensions of innovation: An exploratory model, Journal of Product Innovation Management, 7(1), 59-73.
48.Hong, W., Thong, J., Wong, W., & Tam, K.Y. (2001). Determinants of user acceptance of digital libraries: an empirical examination of individual differences and system haracteristics, Journal of Management Information Systems, 18(3), 97-125.
49.Hsu, C. L., & Lu, H.P. (2004). Why do people play on-line games? An extended TAM with social influences and flow experience, Information & Management 41, 853–868.
50.Hsu, M.H., & Chiu, C.M. (2004). Internet self-efficacy and electronic service acceptance, Decision Support Systems 38,369– 381.
51.Hsu, C., & Lin, J. (2008). Acceptance of blog usage: the roles of technology acceptance, social influence and knowledge sharing motivation , Information & Management, 45(1), 65-74.
52.Hubona, G.S., & Geitz, S. (1997). External variables, beliefs, attitudes and information technology usage behavior, Proceedings of the Thirtieth Hwaii International Conference, 3, 21-28.
53.Igbaria, M., & Iivari, J. (1995). The effects of self-efficacy on computer usage, Omega, 23(6), 587-605.
54.Jieun, Y., Imsook, H., Munkee, C., & Jaejeung, R. (2005). Extending the TAM for a t-commerce, Information & Management, 42(7), 965-976.
55.Liao, C., Palvia, P., & Lin, H-N. (2006).The roles of habit and web site quality in E-Commerce. International Journal of Information Management. 26(6), 469-483.
56.Kang, S. (1998). Information technology acceptance: evolving with the changes in the network environment. Proc.31st Annual Hawaii International Conference on System Sciences, 413-423.
57.Karahanna, E., Straub, D.W., & Chervany, N.L. (1999). Information technology adoption across time: a cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23(2).183-213.
58.Klakota, R., & Robinson.M. (1999). E-business: roadmap for success, Addison Wesley Information Technology Series, Boston, MA.
59.Lederer, A.L., Maupin, D.J., Sena M. P., & .Zhuang, Y. (2000). The technology acceptance model and the World Wide Web, Decision Support System, 29(3), 269-282.
60.Legris, P., Inghamb, J., & Collerette, P. (2003). Why do people use information technology? A critical review of the technology acceptance model, Information & Management, 40 (3), 191-204.
61.Luarn, P., & Lin, H.H. (2004). Toward an understanding of the behavioral intention to use mobile banking, Computers in Human Behavior, 21(6), 873-891.
62.McKnight, D.H., & Choudhury, V., Kacmar. (2002). Developing and validating trust measures for e-commerce: an integrative typology. Information System Research, 13(3), 334-359.
63.Moore, M.G., & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation, Information Systems Research, 2, 192-222.
64.Neil, D. (2001). Introducing LISREL: a guide for the uninitiated. International Journal of Market Research, 43(4), 455-456.
65.O'Cass, A., & Fenech, T. (2003). Web retailing adoption: Exploring the nature of Internet users Web retailing behavior, Journal of Retailing & Consumer Services, 10(2), 81-94.
66.Pavlou, P.A. (2001). Consumer intentions to adopt electronic commerce- incorporating trust and risk in the technology acceptance model, DIGIT 2001 Proceedings. 2.
67.Pikkarainen, T., Pikkarainen, K., Karjaluoto, H., & Pahnila, S. (2004). Consumer acceptance of online banking: an extension of the technology acceptance model. Internet Research, 14 (3), 224- 235.
68.Rogers, E. M. (1983). Diffusion of Innovation (3rd Edition), Free Press, New York.
69.Slyke, C. V., Belanger, F., & Comunale, C. (2004). Factors influencing the adoption of web-based shopping: The impact of trust, Database for Advances in Information Systems, 35(2), 32-49.
70.Smith, T. J. (2008). Senior citizens and e-commerce websites: The role of perceived usefulness, perceived ease of use, and web site usability. Informing Science: the International Journal of an Emerging Transdiscipline, 11, 59-83.
71.Straub, D., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study, Information & Management, 33, 1-11.
72.Swan, J.E., Bowers, M.R. & Richardson, L.D. (1999), Customer trust in the salesperson: An integrative review and meta-analysis of the empirical literature, Journal of Business Research, 44(2), 93-107.
73.Tan, M., & Teo, T. (2000). Factors influencing the adoption of Internet banking, Journal of the Association for Information Systems, 1(5), 1-42.
74.Taylor, S., & Todd, P. (1995). Understanding information technology usage: a test of competing models, Information Systems Research, 6(2), 144-176.
75.Venkatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
76.Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance Model: Four Longitudinal Field Studies. Management Science, 46, 186-204.
77.Verhoef, P.C., & Langerak, F. (2000). Possible determinants of consumers' adoption of electronic grocery shopping in the Netherlands, Journal of Retailing & ConsumerServices, 8(5), 275-285.
78.Vijayasarathy, L.R. (2004). Predicting consumer intentions to use on-line shopping: the case for an augmented technology acceptance model, Information & Management, 41(6), 747-762.
79.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.
80.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.
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top