一、中文文獻
丁國章、曾相榮與潘昭儀(2010)。網路購物行為之消費者知覺風險研究。行銷評論,3,381-412。王國欽、蕭至惠、陳瑞倫與徐美婷(2013)。完整旅遊體驗階段之重要旅遊風險認知。大專體育學刊,2,135-147。白如玲與鍾涓涓(2013)。線上旅遊產品知覺品質、知覺價值與行為意願之研究:以品牌利益和知覺風險為前置因素。島嶼觀光研究,4,46-78。
何英煒(2015年3月)。資策會:今年電子商務市場將破兆元。中時電子報。取自http://www.chinatimes.com/newspapers/20150303000216-260210
何雍慶與林美珠(2007)。電子商務顧客網路購物知覺價值因果關係之研究-以國內大專生為例。顧客滿意學刊,1,61-96。
何澤欣與黃勢璋(2015)。臺灣電子商務新發展:以支付產業為例。經濟前瞻,158,114-120。
吳明隆(2009)。SPSS與統計應用分析。臺北:五南。
吳濟民、林妘縉、黃宗誠與白宗易(2012)。台灣觀光旅館產業之電子商務網站環境、消費者知覺價值與消費者創新性之關係。嘉南學報,38,429-441。
李宏仁、袁劍雲、江佳霖與林韋儒(2015)。消費者線上購物行為關鍵決定因素:一個整合性理論觀點。顧客滿意學刊,2,271-304。李承峻與劉靜慧(2015)。旅運經營學。臺北市:考用出版股份有限公司。
李淑芳與晏啟華(2014)。旅遊部落格之資訊品質、實用價值、享樂價值對網路口碑之影響-以不同網路成癮類型為干擾。觀光與休閒管理期刊,2,212-225。
高雅琪(2015)。網路購物平台選擇決策之研究(未出版之碩士論文)。國立虎尾科大,雲林縣。康明璋(2010)。探討知覺價值與知覺風險之前因因子及其對線上購物滿意度之影響-以線上購物產業為例(未出版之碩士論文)。國立屏東科技大學,屏東縣。張中昌(2015年11月)。男生愛網購3C女生偏好流行品。中時電子報。取自https://tw.mobi.yahoo.com/news/221843817--finance.html
許麗玲、徐村和、唐嘉偉與梁智勇(2010)。Blog體驗價值對使用者持續使用意向之研究。資訊管理學報,17(4),89-117。許麗玲、陳至柔與林子翔(2015)。以期望確認理論探討背包客對旅遊網站之持續使用意願。商管科技季刊,1,47-88。許獻元、賴怡樺與金忻瑩(2013)。網路調查風險知覺量表編製之研究。測驗學刊,2,351-368。郭芝榕(2014年12月)。不再拚價格和速度,「感性電商」是臺灣可切入的優勢。數位時代。取自 http://www.bnext.com.tw/article/view/id/34824
陳宗玄與張瑞琇(2012)。休閒遊憩產業概論。新北市:揚智文化事業股份有限公司。
陳建文、李有仁、嚴秀茹與鄭江宇(2008)。消費者使用購物網站之行為模式,資訊管理學報,15(3),1-27。
陳詩雅、周文賢與方文昌(2010)。網路商店線上瀏覽對採購行為影響研究-以投資理財與旅遊服務為例。電子商務研究,1,71-104。陳嘉隆(2014)。旅行業經營與管理。新北市:華立圖書股份有限公司。
陶蓓麗、程瑞南(2006)。網路購物顧客價值對顧客關係品質的影響之實證研究。中山管理評論,2,517-549。創世際月刊報告(2015年3月)。臺灣電子商務網站使用狀況。取自http://www.ixresearch.com/reports/2013-03
黃筠茜(2009)。線上購物之服務品質、顧客知覺價值、滿意度、信任與忠誠度關聯性之研究(未出版之碩士論文)。淡江大學,新北市。楊環如(2012)。應用資訊系統成功模式探討學生對數位學習系統之使用意願(未出版之碩士論文)。朝陽科技大學,台中市。資策會(2015)。臺灣民眾線上購物經驗【網路文字資料】。取自:http://www.find.org.tw/market_info.aspx?n_ID=8621
資策會(2015)。臺灣消費者雙11線上購物行為【網路文字資料】。取自:http://www.find.org.tw/market_info.aspx?n_ID=8631
電子商務的定義(2013)。中華民國電子商務年鑑【部落格文字資料】。取自http://ecommercetaiwan.blogspot.tw/
劉冠吾(2008)。從科技接受模式與資訊系統成功模式探討圖書館資訊系統的使用-以國立屏東教育大學為例(未出版之碩士論文)。國立屏東大學,屏東縣。蔡玉娟與梁家銘(2009)。以資訊系統成功模式及科技接受模式探討國小學生健康資訊管理系統之研究。高雄師大學報,27,35-59。
蔡宗宏與黃暉庭(2007)。醫療資訊系統成功模型之研究。醫務管理期刊,8,281-300。
蔡俊男(2011)。大學生網路購物信任與知覺價值對顧客滿意度之影響研究(未出版之碩士論文)。國立高雄應用科技大學,高雄市。蔡瑞宇(1996)。顧客行為學。台北市:天一圖書公司。
賴彥廷(2016)。網路購物知覺價值、知覺風險、知覺易用與使用態度對使用意圖影響之研究-以第三方支付服務為例(未出版之碩士論文)。南華大學,嘉義縣。謝淑芬(2000)。消費者之旅遊知識、經驗對旅遊風險知覺程度影響之研究。觀光研究學報,2,67-90。謝錦堂(2013)。消費者知覺風險與知覺價值對購買意願之影響:社群網站服務之實證研究。電子商務研究,11(4),431-452。魏文欽與賴佳伶(2011)。影響美妝網站使用意圖關鍵因素之實證研究。中華理論結構模式學會,4(2),70-95。
二、英文文獻
Barry, B. J., Darden, W. R., & Griffin, M. (1994). Work and / or Fun : Measuring Hedonic and Utilitarian Shopping Value. Journal of Consumer Research, 20, 664-656.
Batra, R., & Ahtola, O. (1990). Measuring the Hedonic and Utilitarian Sources of Consumer Attitudes. Marketing Letters, 2(2), 159-170.
Bauer, R. A. (1960). Consumer Behavior as Risk Taking, Dynamic Marketing for Changing World: American Marketing Association, 389-393.
Cox, D. F. (1967). Risk taking and information handling in consumer behavior.
Comrey, A. L., & Lee, H. B. (1992). Afirst course infactor analysis. Hillsdale, NJ: Erlbaum.
DeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean Model of nformation System Success: A Ten-Year Update. Journal of Management Information Systems, 19(4), 9-30.
DeLone, W. H., & McLean, E. R. (1992). Information System Success: The Quest for the Dependent Variable, Information Systems Research, 3(1), 60-95.
Delone, W. H., & Mclean, E. R. (1992). Information Systems Success: The Quest for the Dependent Variable. Information System Research, 3(1), 60-95.
Delone, W. H., & Mclean, E. R. (2002). Information Systems Success Revisited. 35th Hawaii International Conference on System Sciences, Hawaii.
Delone, W. H., & Mclean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update. Journal of Management Information Systems, 19(4), 9-30.
Delone, W. H., & Mclean, E. R. (2004).Measuring e-Commerce Success: Applying the DeLone & McLean Information Systems Success Model. International Journal of Electronic Commerce, 9(1), 31-47.
Dodds, W. B., & Monroe, K. B. (1985). The Effect of Brand and Price Information on Subjective Product Evaluations. Advances in Consumer Research, 12, 87-90.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of Price, Brand, and Store Information on Buyer’s Product Evaluations. Journal of Marketing Research, 28, 307-319.
Doll, W. J., & Torkzadeh, G. (1988). The measure of end-user computing satisfaction. MIS Quart, 12(2), 259-274.
Featherman,M. S.,&Pavlou, P. A. (2003). Predicting e-services adoption: A perceived risk facets perspective. International Journal of Human-Computer Studies, 59(4),451-474.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Hair, A. R. (1997). U.S. Patent No. 5,675,734. Washington, DC: U.S. Patent and Trademark Office.
Howard, J. A. & Sheth, J. N. (1969). The theory of buyer behavior. New York, NY : Wiley, 225-232.
Jarvenpaa, S. L., & Todd, P. A. (1997). Consumer reactions to electronic shopping on the world wide web. International Journal of Electronic Commerce, 1(2), 59-88.
Kaiser, H. F. (1974). An index of factorial simplicity. Psychometrika, 39(1), 31-36.
Kollat, D. T., Engel, J. F., & Blackwell, R. D. (1970). Current problems in consumer behavior research. Journal of Marketing Research, 7(3), 327-332.
Laroche, M., McDougall, H. G., Bergeron, J., & Yang, Z. (2004). Exploring How Intangibility Affects Perceived Risk. Journal of Service Research, 6(4), 373-389.
Lee, E. J., & Overby, J. W. (2004). Creating Value for Online Shoppers : Implications for Satisfaction and Loyalty. Journal of Consumer Satisfaction, Dissatisfaction and Complaining Behavior, 17, 54-67.
Mathwick, C., Malhotra, N., & Rigdon, E. (2001). Experiential value: conceptualization, measurement and application in the catalog and Internet shopping environment. Journal of Retailing, 77 , 42.
Miller, J., & Doyle, B. A. (1987). Measuring the Effectiveness of Computer-Based Information Systems in the Financial Services Sector. MIS Quarterly, 11(1), 107-124.
Monroe, K. B., & Krishnan, R. (1985). The effect of price on subjective product evaluations. Perceived quality, 1, 209-232.
Myers, B. L., Kappelman, L. A., & Prybutok, V. R. (1997). A comprehensive model for assessing the quality and productivity of the information system function toward a theory for information system assessment. Information Resources Management Journal, 6-25.
Nunnally, J. (1978). Psychometric methods.
O’Reilly, C. (1982). Variations in decision makers’ use of information sources: The impact of quality and accessibility of information. Academy of Management Journal, 25(4), 756-771.
Roselius, T. (1971). Consumer Rankings of Risk Reduction Methods. Journal of Marketing, 35(1), 56-61.
Seddon, P. B. (1997). A Respecification and Extension of the DeLone and McLean Model of IS Success. Information Systems Research, 8(3), 240-253.
Snitkin, S. R., & King, W. R. (1986). Determinants of the effectiveness of personal decision support systems. Information & Management, 10(2), 83-89.
Srinivasan, A. (1985). Alternative measures of system effectiveness: associations and implications. MIS quarterly, 243-253.
Tan, K. C. (2001) A Structural Equation Model of New Product Design and Development. Decision Sciences, 32(2), 195-226.
Venkatesh, V., & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies. Management science, 46(2), 186-204.
West, S. G., Finch, J. F., & Curran, P. J. (1995). Structural equation models with nonnormal variables. Structural equation modeling: Concepts, issues, and applications, 56-75.
Wood, C. M., & Scheer, L. K. (1996). Incorporating Perceived Risk Into Models of Consumer Deal Assessment and Purchase Intent. Advances in Consumer Research, 23, 399-404.
Yadav, M. S., & Monroe K. B. (1993). How Buyers Perceive Savings in a Bundle Price: An Examination of a Bundle’s Transaction Value. Journal of Marketing Research, 30, 350–358.
Zeithaml, V. A. (1988). Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence, Journal of Marketing, 52(3), 2-22.
Zmud, R. W. (1978). An empirical investigation of the dimensionality of the concept of information. Decision sciences, 9(2), 187-195.