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研究生:孫莉姍
研究生(外文):SUN, LI-SHAN
論文名稱:線上與線下整合性資訊搜尋行為影響因素之研究
論文名稱(外文):Influencing Factors of Online and Offline Integrated Information Search Behavior
指導教授:陳振燧陳振燧引用關係
指導教授(外文):CHEN, CHENG-HSUI
口試委員:潘立芸凌儀玲
口試委員(外文):PAN, LEE-YUNLING, I-LING
口試日期:2019-06-18
學位類別:碩士
校院名稱:國立雲林科技大學
系所名稱:企業管理系
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:2019
畢業學年度:107
語文別:中文
論文頁數:68
中文關鍵詞:資訊搜尋行為產品類別搜尋頻率性別知覺風險
外文關鍵詞:Information Search BehaviorProduct typeSearch FrequencyGenderPerceived Risk
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  網路的引入不僅大大改變了消費者尋求的訊息,而且改變了訊息的獲取方式。如商店之間的價格比較以及產品屬性等類型之訊息,在網路上變得更容易搜尋,因此消費者能更大程度上利用這些訊息做決策。消費者不僅利用網路蒐集資訊,亦會至實體通路找尋產品訊息。本研究目的在於探討產品類別、搜尋頻率、性別與知覺風險等因素,分別在整合線上與整合線下資訊搜尋行為中的關聯性以及影響程度。
  根據文獻探討,本研究將產品類以功能型與娛樂型劃分、搜尋頻率區分為高頻率與低頻率消費者、性別差異,知覺風險則為符合線上線下皆面臨之風險,僅採用財物、功能、心裡、社會風險與行為進行分析。透過網路問卷蒐集樣本,本研究採用滾雪球抽樣,回收有效樣本516份。
  研究結果顯示,當消費者由線上資訊整合線下資訊時,並不因購買功能型或娛樂型產品而有不同的資訊搜尋強度,但在整合線上資訊中,消費者在購買功能型產品時的資訊搜尋強度明顯高於購買娛樂型產品;次之,在整合線下資訊時,高頻率搜尋者與低頻率搜尋者的資訊搜尋強度並無差異,但在整合線上資訊中,能發現高頻率搜尋者的資訊搜尋強度高於低頻率搜尋者;此外在性別方面,對於整合線下資訊男性與女性並無資訊搜尋強度上的不同,反觀在整合線上資訊中,研究發現女性的資訊搜尋強度明顯高於男性許多。總結來說,本研究中的三項因素在整合線下資訊行為中並無強度的不同,但在整合線上資訊時有顯著的差異行為。另外知覺風險不論在線上或線下行為中,當功能風險越高,消費者越會搜尋產品資訊;財務風險越高,消費者則越會對產品進行比價。
  The introduction of the internet not only changes the information that the customer searches for, but also changes the way of information searching. For instance, it is very easy to get the information that the compared price between two stores and the product attribute on the internet. Therefore, the customer can use these information to make a strategy. The customer not only get the information from the internet, but also goes to the physical store to get the product information. The research purpose is to explore the factor of the product type, the search frequency, the gender and the perceived risk, and their relevance and impact in the integration of online and offline information search behavior.
  According to the literature review, the study divided the product into the utilitarian product and the hedonic product. The search frequency is divided into the high frequency customer and the infrequency customer and gender difference. The perceived risk fits the online and the offline risk. Study divided the perceived risk into the financial risk, the functional risk. The study used the snowball sampling to analyze, and we got 516 valid samples.
  The result showed that when the customer integrates the online information and the offline information, there is no difference of information searching strength between the utilitarian product and the hedonic product. However, the information searching strength of the utilitarian product purchasing is higher than the hedonic product for the online information integration. Furthermore, there is no difference of information searching strength between the high frequency searcher and the low frequency searcher for the offline information. However, the information searching strength of high frequency searcher is better than the low frequency searcher. Furthermore, the male and the female do not have the difference on the information searching strength for the offline information. For the online information, the study showed that the searching information strength of the female is higher than the male. Finally, the three factors for the strength of the offline information do not have the difference. However, the online information does have the difference. No matter where is the perceived risk on the offline or online, the function has more risk, the customer will do more information searching of the product. When the financial risk is high, the customer will compare the price between products.
摘要 i
ABSTRACT ii
誌謝 iii
目錄 iv
表目錄 v
圖目錄 vi
第一章 緒論 1
第一節 研究背景與動機 1
第二節 研究目的 3
第三節 研究流程 4
第二章 文獻探討 5
第一節 資訊搜尋行為 5
第二節 產品類型 11
第三節 搜尋頻率 17
第四節 性別 19
第五節 知覺風險 21
第三章 研究方法 24
第一節 研究架構 24
第二節 研究假設與推論 25
第三節 研究變數定義與衡量 28
第四節 問卷設計 32
第四章 研究分析與結果 34
第一節 基本資料分析 34
第二節 信度分析 36
第三節 研究假設分析 37
第四節 假設結果 48
第五章 結論與建議 49
第一節 研究結論 49
第二節 行銷管理意涵 51
第三節 研究限制與未來建議 52
參考文獻 53
附錄 64

一、英文文獻

1.Andone, I., Błaszkiewicz, K., Eibes, M., Trendafilov, B., Montag, C., & Markowetz, A. (2016). How age and gender affect smartphone usage. ACM international joint conference on pervasive and ubiquitous computing: adjunct, 9-12.
2.Andrade, E. B. (2000). Identifying discriminating variables of online and offline buyers: A perceived-risk approach. AMCIS 2000 Proceedings, 184.
3.Andreeva, M., Cortiñas, M., & Elorz, M. (2010). The role of purchase regularity and purchase frequency in price and discount sensitivity. J Mark Trends, 1(4), 57-73.
4.Antony, S., Lin, Z., & Xu, B. (2006). Determinants of escrow service adoption in consumer-to-consumer online auction market: an experimental study. Decision Support Systems, 42(3), 1889-1900.
5.Applebaum, W., & Spears, R. F. (1950). Controlled experimentation in marketing research. Journal of Marketing, 14(4), 505-517.
6.Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.
7.Babin, B., & Harris, E. (2010). CB 2. Cengage Learning.
8.Batra, R., & Ahtola, O. T. (1991). Measuring the hedonic and utilitarian sources of consumer attitudes. Marketing letters, 2(2), 159-170.
9.Bazerman, M. H., Tenbrunsel, A. E., & Wade-Benzoni, K. (1998). Negotiating with yourself and losing: Making decisions with competing internal preferences. Academy of Management Review, 23(2), 225-241.
10.Beatty, S. E., & Smith, S. M. (1987). External search effort: An investigation across several product categories. Journal of consumer research, 14(1), 83-95.
11.Berning, C. A. K., & Jacoby, J. (1974). Patterns of information acquisition in new product purchases. Journal of Consumer Research, 1(2), 18-22.
12.Bettman, J. R. (1979). Information processing theory of consumer choice. Addison-Wesley Pub. Co.
13.Bhatnagar, A., & Ghose, S. (2004). An analysis of frequency and duration of search on the Internet. The Journal of Business, 77(2), 311-330.
14.Bhatnagar, A., & Ghose, S. (2004). Segmenting consumers based on the benefits and risks of Internet shopping. Journal of Business Research, 57(12), 1352-1360.
15.Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.
16.Biswas, D., & Biswas, A. (2004). The diagnostic role of signals in the context of perceived risks in online shopping: do signals matter more on the web?. Journal of Interactive Marketing, 18(3), 30-45.
17.Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior (9th ed.). Ohio USA, South-Western Thomson Learning.
18.Blázquez, M. (2014). Fashion shopping in multichannel retail: The role of technology in enhancing the customer experience. International Journal of Electronic Commerce, 18(4), 97-116.
19.Brannon, L. (1999). Gender Psychological Perspectives (2nd ed.). Needham Heights, MA: Allyn and Bacon.
20.Briton, N. J., & Hall, J. A. (1995). Beliefs about female and male nonverbal communication. Sex Roles, 32(1-2), 79-90.
21.Browne, G. J., Durrett, J. R., & Wetherbe, J. C. (2004). Consumer reactions toward clicks and bricks: investigating buying behaviour on-line and at stores. Behaviour & Information Technology, 23(4), 237-245.
22.Burke, R. R. (2002). Technology and the customer interface: what consumers want in the physical and virtual store. Journal of the academy of Marketing Science, 30(4), 411-432.
23.Burnkrant, R. E., & Cousineau, A. (1975). Informational and normative social influence in buyer behavior. Journal of Consumer research, 2(3), 206-215.
24.Carlson, R. (1971). Sex Differences in Ego Functioning: Exploratory Studies of Agency and Communication. Journal of Consulting and Clinical Psychology, 37, 267-277.
25.Carrié, D., Khalifé, K., Citron, B., Izaaz, K., Hamon, M., Juiliard, J. M., & Boulet, V. (2001). Comparison of direct coronary stenting with and without balloon predilatation in patients with stable angina pectoris. The American journal of cardiology, 87(6), 693-698.
26.Carsky, M. L., & Zuckerman, M. E. (1991). In search of gender differences in marketing communication: An historical/contemporary analysis. ACR Gender and Consumer Behavior.
27.Cases, A. S. (2002). Perceived risk and risk-reduction strategies in Internet shopping. The International Review of Retail, Distribution and Consumer Research, 12(4), 375-394.
28.Chai, S., Das, S., & Rao, H. R. (2011). Factors affecting bloggers' knowledge sharing: An investigation across gender. Journal of Management Information Systems, 28(3), 309-342.
29.Chakravarti, A., & Xie, J. (2006). The impact of standards competition on consumers: Effectiveness of product information and advertising formats. Journal of Marketing Research, 43(2), 224-236.
30.Chang, C. C., & Tseng, A. H. (2014). The post-purchase communication strategies for supporting online impulse buying. Computers in Human Behavior, 39, 393-403.
31.Chang, E. C., & Tseng, Y. F. (2013). Research note: E-store image, perceived value and perceived risk. Journal of business research, 66(7), 864-870.
32.Chen, Z., & Dubinsky, A. J. (2003). A conceptual model of perceived customer value in e‐commerce: A preliminary investigation. Psychology & Marketing, 20(4), 323-347.
33.Chernev, A. (2004). Extremeness aversion and attribute-balance effects in choice. Journal of consumer research, 31(2), 249-263.
34.Childers, T. L., Carr, C. L., Peck, J., & Carson, S. (2001). Hedonic and utilitarian motivations for online retail shopping behavior. Journal of retailing, 77(4), 511-535.
35.Chitturi, R. (2009). Emotion by design: a consumer perspective. International Journal of Desig, 3(2), 7–17.
36.Cho, J., Boyle, M. P., Keum, H., Shevy, M. D., McLeod, D. M., Shah, D. V., & Pan, Z. (2003). Media, terrorism, and emotionality: Emotional differences in media content and public reactions to the September 11th terrorist attacks. Journal of Broadcasting & Electronic Media, 47(3), 309-327.
37.Chu, J., Arce-Urriza, M., Cebollada-Calvo, J. J., & Chintagunta, P. K. (2010). An empirical analysis of shopping behavior across online and offline channels for grocery products: the moderating effects of household and product characteristics. Journal of Interactive Marketing, 24(4), 251-268.
38.Clowes, R. (2015). Thinking in the cloud: The cognitive incorporation of cloud-based technology. Philosophy & Technology, 28(2), 261-296.
39.Cotte, J., Chowdhury, T. G., Ratneshwar, S., & Ricci, L. M. (2006). Pleasure or utility? Time planning style and Web usage behaviors. Journal of interactive marketing, 20(1), 45-57.
40.Cox, A. D., Cox, D., & Anderson, R. D. (2005). Reassessing the pleasures of store shopping. Journal of Business research, 58(3), 250-259.
41.Crespo, A. H., del Bosque, I. R., & de los Salmones Sánchez, M. G. (2009). The influence of perceived risk on Internet shopping behavior: a multidimensional perspective. Journal of Risk Research, 12(2), 259-277.
42.Cuellar, S. S., & Brunamonti, M. (2014). Retail channel price discrimination. Journal of Retailing and Consumer Services, 21(3), 339-346.
43.Darby, M. R., & Karni, E. (1973). Free competition and the optimal amount of fraud. The Journal of law and economics, 16(1), 67-88.
44.Darley, W. K., & Smith, R. E. (1995). Gender differences in information processing strategies: An empirical test of the selectivity model in advertising response. Journal of advertising, 24(1), 41-56.
45.Das, S., Echambadi, R., McCardle, M., & Luckett, M. (2003). The effect of interpersonal trust, need for cognition, and social loneliness on shopping, information seeking and surfing on the web. Marketing Letters, 14(3), 185-202.
46.Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace 1. Journal of applied social psychology, 22(14), 1111-1132.
47.Degeratu, A. M., Rangaswamy, A., & Wu, J. (2000). Consumer choice behavior in online and traditional supermarkets: The effects of brand name, price, and other search attributes. International Journal of research in Marketing, 17(1), 55-78.
48.DigitasLBI. (2014). Nederlandse consument verwacht veel, maar koopt nog relatief weinig via smartphone. Retrieved from
49.Doolin, B., Dillon, S., Corner, J. L., & Thompson, F. (2005). Perceived risk, the Internet shopping experience and online purchasing behavior: A New Zealand perspective. Journal of Global Information Management, 13(2), 66-88.
50.Eagly, A. H., & Wood, W. (2011). Social role theory. Handbook of theories in social psychology, 2, 458-476.
51.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.
52.Fiore, A. M., Kim, J., & Lee, H. H. (2005). Effect of image interactivity technology on consumer responses toward the online retailer. Journal of Interactive Marketing, 19(3), 38-53.
53.Ford, G. T., Smith, D. B., & Swasy, J. L. (1988). An empirical test of the search, experience and credence attributes framework. ACR North American Advances, 15, 239–243.
54.Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business research, 56(11), 867-875.
55.Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. Journal of Business research, 56(11), 867-875.
56.Forsythe, S., Liu, C., Shannon, D., & Gardner, L. C. (2006). Development of a scale to measure the perceived benefits and risks of online shopping. Journal of interactive marketing, 20(2), 55-75.
57.George, J. F. (2002). Influences on the intent to make Internet purchases. Internet Research, 12(2), 165-180.
58.Gilly, M. C., Graham, J. L., Wolfinbarger, M. F., & Yale, L. J. (1998). A dyadic study of interpersonal information search. Journal of the academy of marketing science, 26(2), 83-100.
59.Gutiérrez, S. S. M., Izquierdo, C. C., & Cabezudo, R. S. J. (2010). Product and channel-related risk and involvement in online contexts. Electronic Commerce Research and Applications, 9(3), 263-273.
60.Hansen, H. (1972). Consumer Choice Behavior. New York, The Free Press.
61.Hassan, A. M., Kunz, M. B., Pearson, A. W., & Mohamed, F. A. (2006). Conceptualization and measurement of perceived risk in online shopping. Marketing Management Journal, 16(1), 138–47.
62.Hawkins, D.I., Best, R.J. and Coney, K.A. (2004). Consumer Behavior: Building Marketing Strategy (9th ed.). New York, McGraw-Hill.
63.Hew, J. J., Badaruddin, M. N. B. A., & Moorthy, M. K. (2017). Crafting a smartphone repurchase decision making process: Do brand attachment and gender matter?. Telematics and Informatics, 34(4), 34-56.
64.Higgins, E.T. (2001). Promotion and prevention experiences: relating emotions to nonemotional motivational states. In Forgas, J.P. (Ed.), Handbook of Affect and Social Cognition (pp.186-211). London, Lawrence Erlbaum Associates.
65.Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: emerging concepts, methods and propositions. Journal of marketing, 46(3), 92-101.
66.Hofferth, S. L., & Iceland, J. (1998). Social Capital in Rural and Urban Communities 1. Rural sociology, 63(4), 574-598.
67.Hong, Z., & Yi, L. (2012). Research on the influence of perceived risk in consumer on-line purchasing decision. Physics procedia, 24, 1304-1310.
68.Howard, J. A. (1989). Consumer behavior in marketing strategy. Prentice Hall.
69.Hoyer, W. D. (1984). An examination of consumer decision making for a common repeat purchase product. Journal of consumer research, 11(3), 822-829.
70.Huang, L. T. (2016). Flow and social capital theory in online impulse buying. Journal of Business Research, 69(6), 2277-2283.
71.Jackson, L. A., Ervin, K. S., Gardner, P. D., & Schmitt, N. (2001). Gender and the Internet: Women communicating and men searching. Sex roles, 44(5-6), 363-379.
72.Jacoby, J., & Kaplan, L. B. (1972). The components of perceived risk. ACR Special Volumes.
73.Joseph, K., Wintoki, M. B., & Zhang, Z. (2011). Forecasting abnormal stock returns and trading volume using investor sentiment: Evidence from online search. International Journal of Forecasting, 27(4), 1116-1127.
74.Jung, K., Cho, Y. C., & Lee, S. (2014). Online shoppers' response to price comparison sites. Journal of Business Research, 67(10), 2079-2087.
75.Kerstetter, D., & Cho, M. H. (2004). Prior knowledge, credibility and information search. Annals of Tourism Research, 31(4), 961-985.
76.Kim, M., & Lennon, S. (2008). The effects of visual and verbal information on attitudes and purchase intentions in internet shopping. Psychology & Marketing, 25(2), 146-178.
77.Klein, L. R. (1998). Evaluating the potential of interactive media through a new lens: Search versus experience goods. Journal of business research, 41(3), 195-203.
78.Kotler, P., & Keller, K. L. (2011). A framework for marketing management. Prentice Hall.
79.Kotler, P., Keller, K. L., Ancarani, F., & Costabile, M. (2014). Marketing management 14/e. Pearson.
80.Kotler, P., Keller, K. L., Manceau, D., & Hémonnet-Goujot, A. (2015). Marketing Management, (14th ed.). Englewood Cliffs, NJ: Prentice Hall.
81.Koufaris, M., Kambil, A., & LaBarbera, P. A. (2001). Consumer behavior in web-based commerce: an empirical study. International journal of electronic commerce, 6(2), 115-138.
82.Laroche, M., Yang, Z., McDougall, G. H., & Bergeron, J. (2005). Internet versus bricks-and-mortar retailers: An investigation into intangibility and its consequences. Journal of retailing, 81(4), 251-267.
83.Lawson, M. (2016). 5 ways consumers connect to stores with mobile shopping. Retrieved from
84.Lee, J. H., & Song, C. H. (2013). Effects of trust and perceived risk on user acceptance of a new technology service. Social Behavior and Personality: an international journal, 41(4), 587-597.
85.Lee, J. Y., & Bell, D. R. (2013). Neighborhood social capital and social learning for experience attributes of products. Marketing Science, 32(6), 960-976.
86.Lee, S. Y. (2015). Interpersonal influence on online game choices. Computers in Human Behavior, 45, 129-136.
87.Lewis, M., Brown, K. A., & Billings, A. C. (2017). Social media becomes traditional: Sport media consumption and the blending of modern information pathways. Journal of Global Sport Management, 2(2), 111-127.
88.Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.
89.Luna, D., Peracchio, L. A., & de Juan, M. D. (2002). Cross-cultural and cognitive aspects of web site navigation. Journal of the academy of marketing science, 30(4), 397-410.
90.Lynch Jr, J. G., & Ariely, D. (2000). Wine online: Search costs affect competition on price, quality, and distribution. Marketing science, 19(1), 83-103.
91.Lynch Jr, J. G., & Srull, T. K. (1982). Memory and attentional factors in consumer choice: Concepts and research methods. Journal of consumer research, 9(1), 18-37.
92.MacInnis, D. J., & Price, L. L. (1987). The role of imagery in information processing: Review and extensions. Journal of consumer research, 13(4), 473-491.
93.Maheswaran, D., & Sternthal, B. (1990). The effects of knowledge, motivation, and type of message on ad processing and product judgments. Journal of consumer Research, 17(1), 66-73.
94.McClelland, D. C. (1975). Power: The inner experience. Hoboken, NJ: John Wiley & Sons Inc.
95.McDermott, C.M., Kang, H., Walsh, S. (2001). A framework for technology management in services. Engineering Management, 333–341.
96.Meyers-Levy, J., & Maheswaran, D. (1991). Exploring differences in males' and females' processing strategies. Journal of consumer research, 18(1), 63-70.
97.Meyers-Levy, J., & Sternthal, B. (1991). Gender differences in the use of message cues and judgments. Journal of marketing research, 28(1), 84-96.
98.Meyers-Levy. J. (1989), Gender Differences in Information Processing: a Selectivity Interpretation, In Cafferata and Tybout (Eds.), Cognitive and Affective Responses to Advertising, Lexington, MA: Lexington Press.
99.Mitchell, V. W., & Harris, G. (2005). The importance of consumers' perceived risk in retail strategy. European Journal of marketing, 39(7/8), 821-837.
100.Mochon, D. (2013). Single-option aversion. Journal of Consumer Research, 40(3), 555-566.
101.Mourali, M., Laroche, M., & Pons, F. (2005). Antecedents of consumer relative preference for interpersonal information sources in pre‐purchase search. Journal of Consumer Behaviour: An International Research Review, 4(5), 307-318.
102.Nadeem, W., Andreini, D., Salo, J., & Laukkanen, T. (2015). Engaging consumers online through websites and social media: A gender study of Italian Generation Y clothing consumers. International Journal of Information Management, 35(4), 432-442.
103.Nelson, P. (1970). Information and consumer behavior. Journal of political economy, 78(2), 311-329.
104.Ong, D. L. T., & Yap, W. X. (2017). The impact of fitness center servicescape on individual behavior: The mediating role of emotional response. Journal of Global Sport Management, 2(2), 128-142.
105.Park, C. W., Jaworski, B. J., & MacInnis, D. J. (1986). Strategic brand concept-image management. Journal of marketing, 50(4), 135-145.
106.Park, J., Han, H., & Park, J. (2013). Psychological antecedents and risk on attitudes toward e-customization. Journal of Business Research, 66(12), 2552-2559.
107.Pavlou, P. A., & Gefen, D. (2004). Building effective online marketplaces with institution-based trust. Information systems research, 15(1), 37-59.
108.Peter, J. P., & Tarpey Sr, L. X. (1975). A comparative analysis of three consumer decision strategies. Journal of consumer research, 2(1), 29-37.
109.Pincus, S., & Waters, L. K. (1977). Informational social influence and product quality judgments. Journal of Applied Psychology, 62(5), 615.
110.Pires, G., Stanton, J., & Eckford, A. (2004). Influences on the perceived risk of purchasing online. Journal of Consumer Behaviour: An International Research Review, 4(2), 118-131.
111.Prendergast, G., Cheung, W. L., & West, D. (2008). How far is too far? The antecedents of offensive advertising in modern China. Journal of Advertising Research, 48(4), 484-495.
112.Putrevu, S. (2001). Exploring the origins and information processing differences between men and women: Implications for advertisers. Academy of marketing science review, 10(1), 1-14.
113.Rao, A. R., & Sieben, W. A. (1992). The effect of prior knowledge on price acceptability and the type of information examined. Journal of consumer research, 19(2), 256-270.
114.Reichel, A., Fuchs, G., & Uriely, N. (2007). Perceived risk and the non-institutionalized tourist role: The case of Israeli student ex-backpackers. Journal of Travel Research, 46(2), 217-226.
115.Roselius, T. (1971). Consumer rankings of risk reduction methods. Journal of marketing, 35(1), 56-61.
116.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.
117.Senecal, S., Kalczynski, P. J., & Nantel, J. (2005). Consumers' decision-making process and their online shopping behavior: a clickstream analysis. Journal of Business Research, 58(11), 1599-1608.
118.Settle, R. B. (1972). Attribution theory and acceptance of information. Journal of Marketing Research, 9(1), 85-88.
119.Shim, S., Eastlick, M. A., Lotz, S. L., and Warrington, P. (2001). An online prepurchase intentions model: The role of intention to search, Journal of retailing, 77, 394-416.
120.Singh, J. P., Irani, S., Rana, N. P., Dwivedi, Y. K., Saumya, S., & Roy, P. K. (2017). Predicting the “helpfulness” of online consumer reviews. Journal of Business Research, 70, 346-355.
121.Smith, S. P., Johnston, R. B., & Howard, S. (2011). Putting yourself in the picture: an evaluation of virtual model technology as an online shopping tool. Information Systems Research, 22(3), 640-659.
122.Sousa, I., & Wallace, D. (2006). Product classification to support approximate life-cycle assessment of design concepts. Technological Forecasting and Social Change, 73(3), 228-249.
123.Sparrow, B., Liu, J., & Wegner, D. M. (2011). Google effects on memory: Cognitive consequences of having information at our fingertips. science, 333(6043), 776-778.
124.Stelmaszewska, H., Fields, B., & Blandford, A. (2004). Conceptualising user hedonic experience. Proc. ECCE, 12, 12-15.
125.Stone, R. N., & Grønhaug, K. (1993). Perceived risk: further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
126.Taylor, J. W. (1974). The role of risk in consumer behavior: a comprehensive and operational theory of risk taking in consumer behavior. Journal of marketing, 38(2), 54-60.
127.Ueltschy, L. C., Krampf, R. F., & Yannopoulos, P. (2004). A cross-national study of perceived consumer risk towards online (Internet) purchasing. Multinational Business Review, 12(2), 59-82.
128.Van Noort, G., Voorveld, H. A., & Van Reijmersdal, E. A. (2012). Interactivity in brand web sites: cognitive, affective, and behavioral responses explained by consumers' online flow experience. Journal of Interactive Marketing, 26(4), 223-234.
129.Van S. C., Comunale, C. L., & Belanger, F. (2002). Gender differences in perceptions of web-based shopping. Association for Computing Machinery. Communications of the ACM, 45(8), 82-82.
130.Van Vliet, H., Moes, A., & Schrandt, B. (2015). The fashion retailscape: innovations in shopping. Amsterdam, Amsterdam Creative Industries.
131.Varadarajan, R. (2010). Interactive technologies and retailing strategy: A review, conceptual framework and future research directions. Journal of Interactive Marketing, 24(2), 96-110.
132.Venkatesh, V., & Morris, M. G. (2000). Why don't men ever stop to ask for directions? Gender, social influence, and their role in technology acceptance and usage behavior. MIS quarterly, 115-139.
133.Venkatesh, V., Morris, M. G., & Ackerman, P. L. (2000). A longitudinal field investigation of gender differences in individual technology adoption decision-making processes. Organizational behavior and human decision processes, 83(1), 33-60.
134.Vijayasarathy, L. R., & Jones, J. M. (2000). Print and Internet catalog shopping: assessing attitudes and intentions. Internet Research, 10(3), 191-202.
135.Vuylsteke, A., Wen, Z., Baesens, B., & Poelmans, J. (2010). Consumers' search for information on the internet: how and why China differs from Western Europe. Journal of Interactive Marketing, 24(4), 309-331.
136.Walsh, S. T., & Linton, J. D. (2011). The strategy-technology firm fit audit: a guide to opportunity assessment and selection. Technological Forecasting and Social Change, 78(2), 199-216.
137.Wang, L. C., Baker, J., Wagner, J. A., & Wakefield, K. (2007). Can a retail web site be social?. Journal of marketing, 71(3), 143-157.
138.Weiser, E. B. (2000). Gender differences in Internet use patterns and Internet application preferences: A two-sample comparison. Cyberpsychology and behavior, 3(2), 167-178.
139.Westbrook, R. A., & Fornell, C. (1979). Patterns of information source usage among durable goods buyers. Journal of marketing research, 16(3), 303-312.
140.Wilkie, William L. (1986). Consumer Behavior. New York, John Wiley & Sons.
141.Wilson, T. D. (2000). Human information behavior. Informing science, 3(2), 49-56.
142.Wolk, A., & Ebling, C. (2010). Multi-channel price differentiation: An empirical investigation of existence and causes. International Journal of Research in Marketing, 27(2), 142-150.
143.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.
144.Zhuang, H., Leszczyc, P. T. P., & Lin, Y. (2018). Why is price dispersion higher online than offline? The impact of retailer type and shopping risk on price dispersion. Journal of Retailing, 94(2), 136-153.

二、中文文獻
1.TWNIC 財團法人台灣網路資訊中心(2018)。2018年台灣網路報告。取自https://www.twnic.net.tw/doc/twrp/201812c.pdf
2.TWNIC 財團法人台灣網路資訊中心(2017)。2017年台灣無線網路使用調查報告書。取自https://www.twnic.net.tw/doc/twrp/201711e.pdf
3.許惠青(2000)。消費者知覺風險、網站特質與賣方特質對拍賣網站購物意願影響之研究。國立東華大學國際企業學系碩士論文。
4.陳進成(2003)。電子商務顧客價值、滿意度與忠誠度之研究-以電子商店為例。中原大學資訊管理研究所碩士論文。
5.劉璦瑋(2018)。品牌體驗、品牌信任、品牌忠誠之研究-探討品牌形象與產品類別之干擾效果。逢甲大學國際經營與貿易學系研究所碩士論文。
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