| 研究生: |
陳玠廷 Ting, Chen-Chieh |
|---|---|
| 論文名稱: |
探討在資訊超載情況下二手商品網拍消費者購買意圖 Exploring the Purchase Intention of Online Consumers for Second-Hand Products in Information Overload Conditions |
| 指導教授: |
謝佩璇
Hsieh, Pei-Hsuan |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 資訊管理研究所 Institute of Information Management |
| 論文出版年: | 2018 |
| 畢業學年度: | 106 |
| 語文別: | 英文 |
| 論文頁數: | 92 |
| 中文關鍵詞: | 資訊超載 、信任 、知覺風險 、知覺價值 、購買意圖 |
| 外文關鍵詞: | Information Overload, Trust, Perceived Risk, Perceived Value, Purchase Intention |
| 相關次數: | 點閱:95 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
網際網路的發展是二十世紀末的重要革命,各種資料往來傳遞繁雜且快速,資訊量呈現高度成長。自1991年網際網路踏進商業化領域後,網路拍賣的發展最引人注目,其中,二手商品的銷售成長也與網路拍賣的普及有很大的關係。然而,電子商務蓬勃發展的同時,暴增的網路資訊令人們成為了資訊超載體,網路上眾多的商品,要如何在這片資訊汪洋中選擇需要購買的商品,成了消費者非常關鍵的問題。人類生理心理學的觀點認為,人類在有限時間內對於資訊的吸收、處理能力是有限的,一旦超過此限度,行為就會趨向困惑與錯誤,也就可能會導致資訊超載(information overload)的現象。此外,根據文獻指出,資訊超載會影響消費者的心理與購買決策。因此,本研究將採用S-O-R理論,提出一個模型來探討消費者在資訊超載情境中,對網站的「信任」、「知覺風險」及「知覺價值」以及其購買意圖的影響。本研究透過網路問卷收集樣本資料,並在問卷中加入實驗情境,以驗證本研究提出的相關假設與理論模型,共回收212份問卷,透過結構方程模型分析資料,研究結果發現:在文字資訊超載情況下,知覺價值與知覺風險對於購買意圖皆有顯著影響,信任對於購買意圖則無顯著影響;在圖片資訊超載情況下,知覺價值與知覺風險對於購買意圖皆有顯著影響,信任對於購買意圖則無顯著影響。根據本研究結果,本研究建議網站設計和管理人員可參考資訊超載情境設計,不定期針對網路購物者進行調查,瞭解一般購物者對於該網站的資訊超載程度,以做為網路資訊改善之重要參考。
The development of the Internet was an important revolution at the end of the 20th century. The transmission of various materials was complicated and rapid, and the amount of information showed a high degree of growth. Since the internet entered the commercialization field in 1991, the development of online auctions has attracted the most attention. Among them, the sales growth of second-hand goods has also had a great relationship with the popularity of online auctions. However, while e-commerce is booming, the burgeoning Internet information has become a super carrier of information. Because of so many commodities on the Internet, how to choose the goods to be purchased in this information ocean has become a very critical issue for consumers. From the perspective of human physiological psychology, human beings have a limited ability to absorb and process information within a limited period of time. Once this limit is exceeded, behaviors tend to be confused and wrong, which may lead to information overload. In addition, according to the literature, information overload affects consumer psychology and purchase decisions. Therefore, this study will adopt the S-O-R theory and propose a model to explore the influence of consumers on the "trust", "perceived risk" and "perceived value" of the website and its purchase intention in the context of information overload. This study collected sample data through an online questionnaire and added experimental contexts to the questionnaires to verify the relevant hypotheses and theoretical models proposed in this study. A total of 212 questionnaires were recovered, and the data were analyzed through a structural equation model. The study found that in the condition of textual information overload, perceived value and perceived risk have a significant impact on purchase intention, and trust has no significant effect on purchase intention; In the condition of visualized information overload, perceived value and perceived risk have an significant effect on purchase intention, and trust has no significant effect on purchase intentions. Based on the results of this study, this study suggests that website designer and manager can refer to information overload scenario design and do irregularly survey for online shoppers to understand the level of information overload of the shopper on the website as a means to improve information in network.
A.S. Kelton, R.R. Pennington, B.M. Tuttle, The effects of information presentation format on judgment and decision making: a review of the information systems research, J. Inf. Syst. 24 (2), 2010, pp. 79–105.
Aljukhadar, M., Senecal, S., & Daoust, C. E. (2012). Using recommendation agents to cope with information overload. International Journal of Electronic Commerce, 17(2), 41-70.
Al-Sabbahy, H. Z., Ekinci, Y., & Riley, M. (2004). An investigation of perceived value dimensions: Implications for hospitality research. Journal of Travel Research, 42(3), 226-234.
Alvarez, G. A., & Cavanagh, P. (2004). The capacity of visual short-term memory is set both by visual information load and by number of objects. Psychological science, 15(2), 106-111.
Aksezer, C. S. (2011). Failure analysis and warranty modeling of used cars. Engineering Failure Analysis, 18(6), 1520-1526.
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.
Anityasari, M., Kaebernick, H., & Kara, S. (2007). The role of warranty in the reuse strategy. In Advances in Life Cycle Engineering for Sustainable Manufacturing Businesses (pp. 335-340).
Bauer, R.A. (1960). Consumer behavior as risk taking. Dynamic marketing for a changing word, 398.
Bawden, D., Holtham, C., & Courtney, N. (1999, October). Perspectives on information overload. In Aslib Proceedings (Vol. 51, No. 8, pp. 249-255). MCB UP Ltd.
Beaudoin, C. E. (2008). Explaining the relationship between internet use and interpersonal trust: Taking into account motivation and information overload. Journal of Computer‐Mediated Communication, 13(3), 550-568.
Bettman, J. R. (1974). Decision net models of buyer information processing and choice: Findings, problems, and prospects. Buyer/Consumer Information Processing, 59-74.
Bhatnagar, A., Misra, S., & Rao, H. R. (2000). On risk, convenience, and Internet shopping behavior. Communications of the ACM, 43(11), 98-105.
Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial test. Journal of management information systems, 19(1), 211-241.
Biswas, A. (1992). The moderating role of brand familiarity in reference price perceptions. Journal of Business Research, 25(3), 251-262.
Blackwell, R. D, Miniard, P. W., & Engel, J. F., adapted by Pai, D., Norjaya, M. Y., & Wan Jooria, H. (2012). Consumer behavior. Singapore: Cengage Learning Asia.
Blackwell, R. D., Miniard, P. W., & Engel, J. F. (2001). Consumer behavior 9th. South-Western Thomas Learning. Mason, OH.
Blanco, C. F., Sarasa, R. G., & Sanclemente, C. O. (2010). Effects of visual and textual information in online product presentations: looking for the best combination in website design. European Journal of Information Systems, 19(6), 668-686.
Brennan, L.L., 2011. The scientific management of information overload. J. Bus. Manage. 17, 121–134.
Carlos Fandos Roig, J., Sanchez Garcia, J., Angel Moliner Tena, M., & Llorens Monzonis, J. (2006). Customer perceived value in banking services. International Journal of Bank Marketing, 24(5), 266-283..
Cebi, S. (2013). Determining importance degrees of website design parameters based on interactions and types of websites. Decision Support Systems, 54(2), 1030-1043.
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.
Chen, C. F., & Tsai, D. (2007). How destination image and evaluative factors affect behavioral intentions?. Tourism management, 28(4), 1115-1122.
Chen, Y. S., & Chang, C. H. (2012). Enhance green purchase intentions: The roles of green perceived value, green perceived risk, and green trust. Management Decision, 50(3), 502-520.
Chernev, A. (2003). When more is less and less is more: The role of ideal point availability and assortment in consumer choice. Journal of consumer Research, 30(2), 170-183.
Chewning, E. G., & Harrell, A. M. (1990). The effect of information load on decision makers' cue utilization levels and decision quality in a financial distress decision task. Accounting, Organizations and Society, 15(6), 527-542.
Childers, T. L., & Houston, M. J. (1984). Conditions for a picture-superiority effect on consumer memory. Journal of consumer research, 11(2), 643-654.
Cho, C. H., Kang, J., & Cheon, H. J. (2006). Online shopping hesitation. CyberPsychology & Behavior, 9(3), 261-274.
Cox, D. F. (1967). Risk handling in consumer behavior: An intensive study of two cases. In Risk Taking and Information Handling in Consumer Behavior. Harvard University Press, Boston. 34-81.
Cuieford, J. P. (1965). Fundamental Statistics in Psychology and Education, 4th (Ed), NY McGraw Hill. Day, RL (1977). Toward a Process.
Cunningham, S. M. (1967), “The Major Dimensions of Perceived Risk”, In Cox, D. F. (Ed), Risk-Taking and Information-Handle in Consumer Behavior, pp.82-108, Harvard University Press, Boston, MA.
Cunningham, L. F., Gerlach, J. H., Harper, M. D., & Young, C. E. (2005). Perceived risk and the consumer buying process: Internet airline reservations. International Journal of Service Industry Management, 16(4), 357-372.
Davis, G. B., & Olson, M. H. (1984). Management information systems: conceptual foundations, structure, and development. McGraw-Hill, Inc..
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. ACR North American Advances.
Dodds, W. B., Monroe, K. B., & Grewal, D. (1991). Effects of price, brand, and store information on buyers' product evaluations. Journal of marketing research, 307-319.
Doney, P. M., & Cannon, J. P. (1997). Trust in buyer-seller relationships. Journal of marketing, 61, 35-51.
Eppler, M. J., & Mengis, J. (2004). The concept of information overload: A review of literature from organization science, accounting, marketing, MIS, and related disciplines. The information society, 20(5), 325-344.
Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2001). Atmospheric qualities of online retailing: A conceptual model and implications. Journal of Business research, 54(2), 177-184.
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.
Featherman, M., Brooks, S. L., & Hajli, M. (2013). Do Interactivity and Vividness impact Objective and Subjective Claims of Online Product Presentation?.
Fiore, A. M., Yah, X., & Yoh, E. (2000). Effects of a product display and environmental fragrancing on approach responses and pleasurable experiences. Psychology and Marketing, 17(1), 27-54.
Flanagin, A. J., & Metzger, M. J. (2003). The perceived credibility of personal Web page information as influenced by the sex of the source. Computers in human behavior, 19(6), 683-701.
Forsythe, S. M., & Shi, B. (2003). Consumer patronage and risk perceptions in Internet shopping. journal of Business research, 56(11), 867-875.
Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 39-50.
Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS quarterly, 27(1), 51-90.
Gupta, R., Bagchi, A., & Sarkar, S. (2007). Improving linkage of Web pages. INFORMS Journal on Computing, 19(1), 127-136.
Ha, Y., Kwon, W. S., & Lennon, S. J. (2007). Online visual merchandising (VMD) of apparel websites. Journal of Fashion Marketing and Management: An International Journal, 11(4), 477-493.
Hahn, M., Lawson, R., & Lee, Y. G. (1992). The effects of time pressure and information load on decision quality. Psychology & Marketing, 9(5), 365-378.
Hair, J. F., Anderson R.E., Tatham R.L., Black W.C. (1995). Multivariate Data Analysis. Prentice‐Hall: Upper Saddle River, NJ.
Hair, J. F., Ringle, C. M., & Sarstedt, M. (2011). PLS-SEM: Indeed a silver bullet. Journal of Marketing theory and Practice, 19(2), 139-152.
Haksever, A. M., & Fisher, N. (1996, October). A method of measuring information overload in construction project management. In Proceedings CIB W89 Beijing International Conference (pp. 310-323).
Herbig, P. A., & Kramer, H. (1994). The effect of information overload on the innovation choice process: Innovation overload. Journal of Consumer Marketing, 11(2), 45-54.
Hiltz, S. R., & Turoff, M. (2002). What makes learning networks effective?. Communications of the ACM, 45(4), 56-59.
Hong, W., Thong, J. Y., & Tam, K. Y. (2004). The effects of information format and shopping task on consumers' online shopping behavior: A cognitive fit perspective. Journal of Management Information Systems, 21(3), 149-184.
Hsin Chang, H., & Wen Chen, S. (2008). The impact of online store environment cues on purchase intention: Trust and perceived risk as a mediator. Online information review, 32(6), 818-841.
Hsu, M. H., Yen, C. H., Chiu, C. M., & Chang, C. M. (2006). A longitudinal investigation of continued online shopping behavior: An extension of the theory of planned behavior. International Journal of Human-Computer Studies, 64(9), 889-904.
Hunt, R. E., & Newman, R. G. (1997). Medical knowledge overload: a disturbing trend for physicians. Health care management review, 22(1), 70-75.
Hunter, G. L. (2004). Information overload: Guidance for identifying when information becomes detrimental to sales force performance. Journal of Personal Selling & Sales Management, 24(2), 91-100.
Iselin, E. R. (1993). The effects of the information and data properties of financial ratios and statements on managerial decision quality. Journal of Business Finance & Accounting, 20(2), 249-266.
Ishihara, M., & Ching, A. (2016). Dynamic demand for new and used durable goods without physical depreciation: The case of japanese video games.
Jacoby, J.&L. Kaplan. The Components of Perceived Risk , Proceedings of 3rd Annual Conference, Association for Consumer Research, 382-396, (1972).
Jacoby, J., Speller, D. E., & Kohn, C. A. (1974). Brand choice behavior as a function of information load. Journal of Marketing Research, 63-69.
Jones, Q., Ravid, G., & Rafaeli, S. (2004). Information overload and the message dynamics of online interaction spaces: A theoretical model and empirical exploration. Information systems research, 15(2), 194-210.
Kaplan, L. B., Szybillo, G. J., & Jacoby, J. (1974). Components of perceived risk in product purchase: A cross-validation. Journal of applied Psychology, 59(3), 287.
Karimov, F. P., Brengman, M., & Van Hove, L. (2011). The effect of website design dimensions on initial trust: a synthesis of the empirical literature. Journal of Electronic Commerce Research, 12(4), 272.
Keh, H. T., & Xie, Y. (2009). Corporate reputation and customer behavioral intentions: The roles of trust, identification and commitment. Industrial marketing management, 38(7), 732-742.
Kiang, M. Y., Raghu, T. S., & Shang, K. H. M. (2000). Marketing on the Internet—who can benefit from an online marketing approach?. Decision Support Systems, 27(4), 383-393..
Kim, D. J., Ferrin, D. L., & Rao, H. R. (2008). A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents. Decision support systems, 44(2), 544-564.
Kim, D., & Benbasat, I. (2003). Trust-related arguments in internet stores: A framework for evaluation. J. Electron. Commerce Res., 4(2), 49-64.
Kim, D., & Benbasat, I. (2010). Trust-assuring arguments in B2C e-commerce: impact of content, source, and price on trust. Journal of Management Information Systems, 26(3), 175-206.
Kim, H. S., & Jin, B. (2006). Exploratory study of virtual communities of apparel retailers. Journal of Fashion Marketing and Management: An International Journal, 10(1), 41-55.
Kim, H., & Lennon, S. J. (2010). E-atmosphere, emotional, cognitive, and behavioral responses. Journal of Fashion Marketing and Management: An International Journal, 14(3), 412-428.
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.
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.
Kirmani, A., & Rao, A. R. (2000). No pain, no gain: A critical review of the literature on signaling unobservable product quality. Journal of marketing, 64(2), 66-79.
Klerings, I., Weinhandl, A. S., & Thaler, K. J. (2015). Information overload in healthcare: too much of a good thing?. Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen, 109(4), 285-290.
Klimchuk, M. R., & Krasovec, S. A. (2013). Packaging design: Successful product branding from concept to shelf. John Wiley & Sons.
Koo, D. M., & Ju, S. H. (2010). The interactional effects of atmospherics and perceptual curiosity on emotions and online shopping intention. Computers in Human Behavior, 26(3), 377-388.
Kotler, P. (1974). Atmospherics as a marketing tool. Journal of retailing, 49(4), 48-64.
Koufaris, M. and Hampton-Sosa, W., “The Development of Initial Trust in an Online Company by New Customers,” Information and Management, Vol. 41, 2004.
Lee, B. K., & Lee, W. N. (2004). The effect of information overload on consumer choice quality in an on‐line environment. Psychology & Marketing, 21(3), 159-183.
Lee, M. K., & Turban, E. (2001). A trust model for consumer internet shopping. International Journal of electronic commerce, 6(1), 75-91.
Lee, C. K., Yoon, Y. S., & Lee, S. K. (2007). Investigating the relationships among perceived value, satisfaction, and recommendations: The case of the Korean DMZ. Tourism management, 28(1), 204-214.
Lim, N. (2003). Consumers’ perceived risk: sources versus consequences. Electronic Commerce Research and Applications, 2(3), 216-228.
Lin, L. W., & Sternquist, B. (1994). Taiwanese consumers’ perceptions of product information cues: Country of origin and store prestige. European Journal of Marketing, 28(1), 5-18.
Li, M., Tan, C. H., Teo, H. H., & Wei, K. K. (2012). Effects of product learning aids on the breadth and depth of recall. Decision Support Systems, 53(4), 793-801.
M. Zhao, S. Hoeffler, D.W. Dahl, The role of imagination-focused visualization on new product evaluation, J. Mark. Res. 46 (1), 2009, pp. 46–55.
Malhotra, N. K. (1982). Information load and consumer decision making. Journal of consumer research, 8(4), 419-430.
Marien, M. (1994). Infoglut and competing problems: key barriers suggesting a new strategy for sustainability. Futures, 26(2), 246-256.
Marshall, K. P. (1999). Has technology introduced new ethical problems?. Journal of business ethics, 19(1), 81-90.
Martins, C., Oliveira, T., & Popovič, A. (2014). Understanding the Internet banking adoption: A unified theory of acceptance and use of technology and perceived risk application. International Journal of Information Management, 34(1), 1-13.
McKnight, D. H., Choudhury, V., & Kacmar, C. (2002). Developing and validating trust measures for e-commerce: An integrative typology. Information systems research, 13(3), 334-359.
Mehrabian, A. and Russell, J.A. (1974), An Approach to Environmental Psychology, MIT Press, Cambridge, MA.
Messner, C., & Wänke, M. (2011). Unconscious information processing reduces information overload and increases product satisfaction. Journal of Consumer Psychology, 21(1), 9-13.
Metzger, M. J. (2004). Privacy, trust, and disclosure: Exploring barriers to electronic commerce. Journal of Computer‐Mediated Communication, 9(4). Online Published, http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.2004.tb00292.x/full.
Meyer, J. A. (1998). Information overload in marketing management. Marketing Intelligence & Planning, 16(3), 200-209.
Miller, GA (1956). The magic number seven, plus or minus two: Some limits on our capacity for processing information. Psychological Review, 101(2), 343-352.
Mitchell, V. W. (1992). Understanding consumers’ behaviour: can perceived risk theory help?. Management Decision, 30(3).
Mitchell, V. W. (1999). Consumer perceived risk: conceptualisations and models. European Journal of marketing, 33(1/2), 163-195.
Morwitz, V. G., & Schmittlein, D. (1992). Using segmentation to improve sales forecasts based on purchase intent: Which" intenders" actually buy?. Journal of marketing research, 391-405.
Murphy, G. B., & Blessinger, A. A. (2003). Perceptions of no-name recognition business to consumer e-commerce trustworthiness: The effectiveness of potential influence tactics. Journal of High Technology Management Research, 14(1), 71−92.
Najjar, L. J. (1996). Multimedia information and learning. In Journal of educational multimedia and hypermedia.
Nelson, M. R. (1994). We have the information you want, but getting it will cost you!: held hostage by information overload. Crossroads, 1(1), 11-15.
Olson, J. C., & Jacoby, J. (1972). Cue utilization in the quality perception process. ACR Special Volumes.
O'Reilly, C. A. (1980). Individuals and information overload in organizations: is more necessarily better?. Academy of management journal, 23(4), 684-696.
Palvia, P. (2009). The role of trust in e-commerce relational exchange: A unified model. Information & management, 46(4), 213-220.
Parasuraman, A., & Grewal, D. (2000). The impact of technology on the quality-value-loyalty chain: a research agenda. Journal of the academy of marketing science, 28(1), 168-174.
Park, J. H., & Kim, M. K. (2016). Factors influencing the low usage of smart TV services by the terminal buyers in Korea. Telematics and Informatics, 33(4), 1130-1140.
Park, J., Lennon, S. J., & Stoel, L. (2005). On‐line product presentation: Effects on mood, perceived risk, and purchase intention. Psychology & Marketing, 22(9), 695-719.
Park, J., Stoel, L., & Lennon, S. J. (2008). Cognitive, affective and conative responses to visual simulation: The effects of rotation in online product presentation. Journal of Consumer Behaviour, 7(1), 72-87.
Parra, J. F., & Ruiz, S. (2009). Consideration sets in online shopping environments: the effects of search tool and information load. Electronic Commerce Research and Applications, 8(5), 252-262..
Pavlou, P. A. (2003). Consumer acceptance of electronic commerce: Integrating trust and risk with the technology acceptance model. International journal of electronic commerce, 7(3), 101-134.
Peter, J. P., & Tarpey Sr, L. X. (1975). A comparative analysis of three consumer decision strategies. Journal of consumer research, 2(1), 29-37.
Phillips, B. J., & McQuarrie, E. F. (2004). Beyond visual metaphor: A new typology of visual rhetoric in advertising. Marketing theory, 4(1-2), 113-136.
Pieters, R., & Wedel, M. (2004). Attention capture and transfer in advertising: Brand, pictorial, and text-size effects. Journal of Marketing, 68(2), 36-50.
Podsakoff, N. P. (2003). Common method biases in behavioral research: A critical review of the literature and recommended remedies. Journal of Applied Psychology, 88(5), 879-903.
Rao, S. S., Truong, D., Senecal, S., & Le, T. T. (2007). How buyers' expected benefits, perceived risks, and e-business readiness influence their e-marketplace usage. Industrial Marketing Management, 36(8), 1035-1045.
Ratnasingham, P. (1999). Risks in low trust among trading partners in electronic commerce. Computers & Security, 18(7), 587-592.
Reynolds, J. (2000). eCommerce: a critical review. International Journal of Retail & Distribution Management, 28(10), 417-444.
Richardson, P. S., Jain, A. K., & Dick, A. (1996). Household store brand proneness: a framework. Journal of retailing, 72(2), 159-185.
Rieh, S. Y., & Danielson, D. R. (2007). Credibility: A multidisciplinary framework. Annual review of information science and technology, 41(1), 307-364.
Rousseau, D. M., Sitkin, S. B., Burt, R. S., & Camerer, C. (1998). Not so different after all: A cross-discipline view of trust. Academy of management review, 23(3), 393-404.
Savolainen, R. (2009). Information use and information processing: Comparison of conceptualizations. Journal of Documentation, 65(2), 187-207.
Sasaki, T., Becker, D. V., Janssen, M. A., & Neel, R. (2011). Does greater product information actually inform consumer decisions? The relationship between product information quantity and diversity of consumer decisions. Journal of economic psychology, 32(3), 391-398.
Schiffman, L. G., & Kanuk, L. L. (2005). Consumer Behavior Introduction: The Impact of Digital Revolution on Consumer Behavior. New York: McGraw Hill
Schiffman, L. G., & Kanuk, L. L. (2007). Consumer Behavior (9th ed.). NJ: Prentice-Hall Inc.
Schroder, H. M., Driver, M. J., & Streufert, S. (1967). Human information processing.
Schwartz, B. (2004). The paradox of choice: Why less is more. New York: Ecco.
Shamdasani, P. N., Stanaland, A. J., & Tan, J. (2001). Location, location, location: Insights for advertising placement on the web. Journal of Advertising Research, 41(4), 7-21.
Shenk, D. (1997). Data Smog: Surviving the Info Glut. Technology Review, 100(4), 18-26.
Shin, D. (2015). Beyond user experience of cloud service: Implication for value sensitive approach. Telematics and Informatics, 32(1), 33-44.
Sicilia, M., & Ruiz, S. (2010). The effects of the amount of information on cognitive responses in online purchasing tasks. Electronic Commerce Research and Applications, 9(2), 183-191.
Simon, H. A. (1974). How big is a chunk?. Science, 183(4124), 482-488.
Simon, H. A., & Newell, A. (1971). Human problem solving: The state of the theory in 1970. American Psychologist, 26(2), 145.
Singh, J., & Sirdeshmukh, D. (2000). Agency and trust mechanisms in consumer satisfaction and loyalty judgments. Journal of the Academy of marketing Science, 28(1), 150-167.
Smith, J. B. (1998). Buyer–seller relationships: similarity, relationship management, and quality. Psychology & Marketing, 15(1), 3-21.
Speier, C. (2006). The influence of information presentation formats on complex task decision-making performance. International Journal of Human-Computer Studies, 64(11), 1115-1131.
Spence, M. (1973). Job market signaling. The quarterly journal of Economics, 87(3), 355-374.
Stone, R. N., & Grønhaug, K. (1993). Perceived risk: Further considerations for the marketing discipline. European Journal of marketing, 27(3), 39-50.
Streufert, S., Driver, M. J., & Haun, K. W. (1967). Components of response rate in complex decision-making. Journal of Experimental Social Psychology, 3(3), 286-295.
Swait, J., & Sweeney, J. C. (2000). Perceived value and its impact on choice behavior in a retail setting. Journal of Retailing and Consumer Services, 7(2), 77-88.
Teas, R. K., & Agarwal, S. (2000). The effects of extrinsic product cues on consumers’ perceptions of quality, sacrifice, and value. Journal of the Academy of marketing Science, 28(2), 278-290.
Teo, T. S. (2002). Attitudes toward online shopping and the Internet. Behaviour & Information Technology, 21(4), 259-271.
Thompson, S. H. T. and Yeong, Y. D. (2005). Assessing the Consumer Decision Process in the Digital Marketplace, The International Journal of Management Science, Vol. 31, No. 5, 349-363.
Ting, K. C., Tseng, S. R., & Pan, C. Y. (2010). The Study on the Perceived Risk of the Behavior of the Consumer in the Internet Shopping. Xing Xiao Ping Lun, 7(3), 381.
Van Slyke, C., Comunale, C. L., & Belanger, F. (2002). Gender differences in perceptions of web-based shopping. Communications of the ACM, 45(8), 82-86.
Vila, N., & Kuster, I. (2011). Consumer feelings and behaviours towards well designed websites. Information & Management, 48(4), 166-177.
Vollmann, T. E. (1991). Cutting the Gordian knot of misguided performance measurement. Industrial Management & Data Systems, 91(1), 24-26.
Wan, Y., Menon, S., & Ramaprasad, A. (2009). The paradoxical nature of electronic decision aids on comparison-shopping: The experiments and analysis. Journal of theoretical and applied electronic commerce research, 4(3), 80-96.
Wang, W., & Benbasat, I. (2009). Interactive decision aids for consumer decision making in e-commerce: The influence of perceived strategy restrictiveness. MIS quarterly, 293-320.
Wells, J. D., Valacich, J. S., & Hess, T. J. (2011). What signal are you sending? How website quality influences perceptions of product quality and purchase intentions. MIS quarterly, 373-396.
Woodruff, R. B. (1997). Customer value: the next source for competitive advantage. Journal of the academy of marketing science, 25(2), 139-153.
Wright, P. (1975). Consumer choice strategies: Simplifying vs. optimizing. Journal of Marketing Research, 60-67.
Wu, J. H., Wu, C. W., Lee, C. T., & Lee, H. J. (2015). Green purchase intentions: An exploratory study of the Taiwanese electric motorcycle market. Journal of Business Research, 68(4), 829-833.
Yoo, J., & Kim, M. (2014). The effects of online product presentation on consumer responses: A mental imagery perspective. Journal of Business Research, 67(11), 2464-2472.
Zeithaml, V. A. (1988). Consumer perceptions of price, quality, and value: a means-end model and synthesis of evidence. The Journal of marketing, 2-22.
Zhang, H., Chen, D., & Sun, R. (2010). The study of consumer trust in C2C e-commerce based on reputation score, information disclosure, online consumer review quality. In Management of e-Commerce and e-Government (ICMeCG), 2010 Fourth International Conference on (pp. 184-187). IEEE.