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  1. NTU Theses and Dissertations Repository
  2. 管理學院
  3. 管理學院企業管理專班(Global MBA)
請用此 Handle URI 來引用此文件: http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53190
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dc.contributor.advisor江炯聰(Jiong-Cong Chiang)
dc.contributor.authorYa Zhouen
dc.contributor.author周雅zh_TW
dc.date.accessioned2021-06-15T16:49:55Z-
dc.date.available2020-08-07
dc.date.copyright2015-08-07
dc.date.issued2015
dc.date.submitted2015-08-07
dc.identifier.citation1. 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,第十卷第一期,1-26。
2. Corbitt, B. Thanasankit, T., and Yi, H., 2003, Trust and eCommerce: A Study of Consumer Perceptions, Electronic Commerce Research and Applications, 2(3), 203-215.
3. Davis, F.D., 1989, Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology, MIS Quarterly, 13(3), 319-339.
4. Fornell, C. and Larcker, D. F., 1981, Evaluating Structural Equation Models with Unobservable Variables and Measurement Error, Journal of Marketing Research, 18(1), 39-50.
5. Donthu, N. and Garcia, A., 1999, The Internet Shopper, Journal of Advertising Research, 39(3), 52-58.
6. Lerous, Nicole, Max S.Wortman Jr. Erick D.Mathias, 2001, Dominant Factors Impacting the Development of Business-to-business E-commerce in Agriculture, International Food and Agribusiness Management Review,32(1), 205-218.
7. Gefen, D., Karahanna, E., and Straub, D. W., 2003, Trust and TAM in Online Shopping: An Integrated Model, MIS Quarterly, 27(1), 51-90.
8. Hair, J. F. Jr., Black, W. C., Babin, B. J., Anderson, R. E., and Tatham R. L., 2006, Multivariate Data Analysis, 6th (Ed.), Upper Saddle River, NJ: Prentice Hall International.
9. King, W. R. and He, J., 2006, A Meta-analysis of the Technology Acceptance Model, Information and Management, 43(6), 740-755.
10. King, W. R. and He, J., 2006, A Meta-analysis of the Technology Acceptance Model, Information and Management, 43(6), 740-755.
11. Lei-da Chen, 2000, Consumer Acceptance of Virtual Store: A Theoretical Model and Critical Success Factors for Virtual Store. The University of Memphis, Ph Dissertation.
12. Hung-Pin Shih. J., 2004, An empirical study on predicting user acceptance of e-shopping on the Web. Information and Management, (41), 351-368.
13. Caudill, Eve M. and Patrick E. Murphy. 2000, Consumer Online Privacy: Legal and Ethical Issues. Journal of Public Policy & Marketing, 19 (spring), 7- 19.
14. Jarvenpaa, Sirrka L. and Peter A. Todd. 1996-97, Consumer Reactions to Electronic Shopping on the World Wide Web. International Journal of Electronic Commerce, 1 (winter), 59-88.
15. Judge, Paul C . 1998, How Safe Is the Net? Business Week (June 22):148-152.
16. Milne, George R. and Maria-Eugenia Boza. 1999, Trust and Concern in Consumers’ Perceptions of Marketing Information Management Practices. Journal of Interactive Marketing, 13, 5-24.
17. Rohm, Andrew J. and George R. Milne. 1998, Emerging Marketing and Policy Issues in Electronic Commerce: Attitudes and Beliefs of Internet Users. In Marketing and Public Policy Proceedings, 8, edited by Alan Andreasen, Alex Simonson, and N. Craig Smith, Chicago: American Marketing Association, 73-79.
18. Spence, Homer, E., James F. Engel, and Roger D. Blackwell. 1970, Perceived Risk in Mail-Order and Retail Store Buying. Journal of Marketing Research, 21(August), 364-369.
19. Taylor, James W. 1974, The Role of Risk in Consumer Behavior. Journal of Marketing, 38(April), 54-60.
20. White, J. Dennis and Elise L. Truly. 1989. Price-Quality Integration in Warranty Evaluation-A Preliminary Test of Alternative Models of Risk Assessment. Journal of Business Research, 19, 109-125.
21. Cho, N. & Park, S.2002, Development of electronic commerce user-consumer satisfaction index (ECUSI) for Internet shopping. Industrial Management and Data Systems, 101(8), 400-405.
22. Horton, R.P., Buck, T., Waterson, P.E. & Clegg, C.W. 2001, Explaining Intranet Use the Technology Acceptance Model, Journal of Information Technology, 14, 237-49.
23. Hu, P.J., Chau, P.Y.K., Sheng, O.R.L. & Tam, K. Y.1999, Examining the technology acceptance model using physician prance of telemedicine. Journal of Management Information Systems, 16 (2), 91-112.
24. Li, Hairong, Cheng Kuo, and Martha G. Russell. 1999, The Impact of Perceived Channel Utilities, Shopping Orientations, and Demographics on the Consumer’s Online Buying Behavior. Journal of Computer-Mediated Communication,13(4), 67-87.
dc.identifier.urihttp://tdr.lib.ntu.edu.tw/jspui/handle/123456789/53190-
dc.description.abstract基於Mehrabian和Russell的接受模型,本項研究重點在於探討內部信息源(即網站品質)作為刺激因素,如何影響消費者的反應系統。本研究的目的是測試一個更全面的模型,相關因素包括網站的質量,感知易用性,感知有用性和感知風險,以及購買意願。此外,本文探討網絡質量(其四個構面的網頁設計,私密性/安全性,客戶服務和訂單履行)如何影響感知風險和購買意願。此外,它討論了感知易用性(PEOU)之間的關係,感知有用性(PU)和感知風險。調查結果中提供優質的網絡,網上購物的感知風險,以及在線採購活動的消費者水平的假設關係的證據,也對在線商務和消費者的福利進行了討論。
調查數據以及調查問卷基於結構方程模型(SEM),使用SPSS13.0被用於數據分析。本研究允許檢查對感知風險和行為意圖零售網站的各種部件的不同的影響。這項研究的附加值在於採用相關文獻彌補前人研究的空白,同時也將提供網上零售商設計和維護網站的實用建議,提昇消費者的購買意願。
zh_TW
dc.description.abstractBased on Mehrabian and Russell’s Technology Acceptance Model, this study focuses on internal source of information (i.e. website quality) as stimuli affecting consumers’ response systems. The purpose of this paper is to test a more comprehensive model consisting of website quality, perceived ease of use, perceived usefulness and perceived risk, as well as purchase intention. Further, this paper explores how web quality (4 facets in web design, privacy/security, customer service and fulfillment) influences perceived risk and how these perceptions relate to online purchase intention. Also, it discusses the relationship between perceived ease of use(PEOU),perceived usefulness(PU) and perceived risk. Findings provide evidence of hypothesized relationships among consumers’ levels of web quality, the perceived risks of online shopping, and online purchasing activity. Implications for online commerce and consumer welfare are discussed.
Survey data as well as questionnaires will be obtained and structural equation modeling (SEM) will be employed for data analysis by using SPSS13.0. This study allows for examination of the different effects of various components of retail websites on perceived risk and behavioral intentions. This research will add value to the related literature by filling the void of previous research and also will provide practical implications for online retailers on designing and maintaining positive consumer response.
en
dc.description.provenanceMade available in DSpace on 2021-06-15T16:49:55Z (GMT). No. of bitstreams: 1
ntu-104-R02749031-1.pdf: 889143 bytes, checksum: 2fcaf33c697447f8b3d7819cd89b5588 (MD5)
Previous issue date: 2015
en
dc.description.tableofcontentsAcknowledgements ii
Abstract iv
摘要 vi
CHAPTER I INTRODUCTION - 1 -
1-1Background of the Study - 1 -
1-2Research Purpose - 2 -
CHAPTER II LITERATURE REVIEW - 3 -
2-1Technology Acceptance Model - 3 -
2-2Effect of web site quality on perceived risk - 5 -
2-2-1Web quality - 5 -
2-2-2Measurement of Web quality - 5 -
2-3Perceived risk - 6 -
2-4Consumer risk perceptions regarding purchase intention - 6 -
2-5Hypothesis - 7 -
2-6Research framework - 11 -
Chapter III Method - 13 -
3-1Procedures and measures - 13 -
3-2Statistical Methods - 14 -
Chapter IV Statistical Analysis - 15 -
4-1Statistics form questionnaire feedbacks - 15 -
4-2General statistics from subjects (demographic backgrounds) - 16 -
4-2-1Age ranges - 16 -
4-2-2Test location distribution - 16 -
4-2-3Geograghy distribution - 17 -
4-2-4Education level - 18 -
4-2-5Habits of online shopping - 18 -
4-3Measurement Model Analysis - 19 -
4-3-1Reliability Analysis - 19 -
4-3-2Validity Analysis - 19 -
4-4 Hypothesis Test and Results - 20 -
CHAPTER V CONCLUSION - 23 -
5-1Discussion - 23 -
5-2Research implications and limitations - 25 -
Reference - 27 -
Appendix A - 30 -
Appendix B - 38 -
問卷各構面問項之統計結果 - 38 -
dc.language.isoen
dc.subject農產品電商zh_TW
dc.subjectTAM模型zh_TW
dc.subject消費者行為zh_TW
dc.subject網站品質zh_TW
dc.subject感知風險zh_TW
dc.subject購買意願zh_TW
dc.subjectagricultural e-commerceen
dc.subjectConsumer behavioren
dc.subjectTAM modelen
dc.subjectWebsite qualityen
dc.subjectPerceived risken
dc.subjectPurchase intentionen
dc.title農產品電子商務的網站品質對消費者感知風險和購買意圖的影響zh_TW
dc.titleThe Effects of Agricultural E-commerce Web Quality on Consumers’ Perceived Risk and Purchase Intentionen
dc.typeThesis
dc.date.schoolyear103-2
dc.description.degree碩士
dc.contributor.oralexamcommittee黃俊堯(Jun-Yao Huang),陳家聲(Chia-Shen Chen)
dc.subject.keyword消費者行為,TAM模型,網站品質,感知風險,購買意願,農產品電商,zh_TW
dc.subject.keywordConsumer behavior,TAM model,Website quality,Perceived risk,Purchase intention,agricultural e-commerce,en
dc.relation.page47
dc.rights.note有償授權
dc.date.accepted2015-08-07
dc.contributor.author-college管理學院zh_TW
dc.contributor.author-dept企業管理碩士專班zh_TW
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