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研究生: 林婉溱
Lin, Wan-Chen
論文名稱: 以網站品質與產品可使用性對消費者價格敏感度之研究
Consumer Price Sensitivity - The Antecedence of Website Quality and Product Usability
指導教授: 張心馨
Chang, Hsin-Hsin
學位類別: 碩士
Master
系所名稱: 管理學院 - 企業管理學系
Department of Business Administration
論文出版年: 2010
畢業學年度: 98
語文別: 中文
論文頁數: 127
中文關鍵詞: 價格敏感度創新接受度網站品質產品可使用性
外文關鍵詞: Price Sensitivity, Innovativeness, Website Quality, Product Usability
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  • 因網際網路的普及化,線上購物已成為消費者購物管道之一。消費者在實體與網路商店選擇同一商品時,是否會因為不同通路給予的刺激而產生不同程度的情緒反應與購物價值,進而影響其對該商品的價格敏感度? 而且新科技產品之日新月異,消費者對創新的接受度是否又會影響其購物過程的知覺? 根據以上問題,本研究設計了線上購物網站與實體產品操作情境,利用此兩種購物情境,以刺激-情緒-價值(Consciousness-Emotions-Value)模式為理論基礎,探討消費者之價格敏感度。
    本研究採網路問卷與紙本問卷,有效樣本為403份。經由資料分析得知,網站品質與產品可使用性對消費者情緒有正面影響,且消費者正面情緒也會導致較高的享樂價值與功利價值。但是,較高的享樂價值會對其價格敏感度有負面影響。這表示當消費者在購物過程中感受到享樂性價值時,將願意付出更高的價錢。另外,雖然創新接受程度對網站品質、產品可使用性與消費者情緒不具顯著的干擾效果,不過卻發現消費者之創新接受程度和價格敏感度有負面相關。意指消費者的創新接受度愈高,也較願意付較高的價格購買商品。
    在管理意涵上,本研究建議商家能夠改善產品與網站設計,增加產品可使用性,以提升消費者對商品的好感。無論虛擬網路或實體商店,店家應增添許多享樂性元素,例如:音樂及趣味小遊戲等,更能降低消費者之價格敏感度。本研究建議線上購物商店不需刻意強調價格優惠,資料結果顯示,消費者對網路與實體之價格敏感度沒有顯著差異。

    Based on the popularity of the Internet, online shopping has become a channel for consumer shopping. When customers choose a product in a different venue, there is a question as to whether their emotions and shopping value have an influence on price sensitivity. In addition, high-tech products are updated rapidly, and there is also a question as to whether the willingness of consumers to accept new products is influenced by their perceptions of the shopping process. To answer these questions, this study have designed an online shopping website and a trail physical product situation and adopts the Consciousness-Emotions-Value (CEV) model as the theory upon which to examine consumer price sensitivity.
    This research uses online-based and paper-based questionnaires for the field survey, and a total of 403 valid samples were collected. According to the findings, website quality and product usability have a positive effect on consumer emotions; a positive emotion also resulted in higher hedonic value and utilitarian value. However, hedonic value had a negative influence on price sensitivity. This indicates that consumers perceiving a higher hedonic value in the shopping process will have a higher willingness to pay more. Additionally, although innovativeness had an insignificant moderating effect on the relationship between website quality, product usability and emotions, the research indicates that innovativeness has a negative relation to price sensitivity. This indicates that consumers who had more innovativeness in high-tech products will have a greater willingness to pay more. In management implications suggest that manufacturers and retailers can improve product usability and website design to enhance favorable impressions regarding products. Whether the retail environment is an online shop or a brick-and mortal store, the retailer should create some hedonic factors, for example, music or interesting games, which can effectively decrease consumer price sensitivity. The research also suggests that online stores shouldn’t focus on price promotion. In fact, consumer price sensitivity was demonstrated to be insignificantly different between online and offline situations.

    中文摘要...................................................Ⅰ ABSTRACT..................................................Ⅱ誌謝..................................................... Ⅲ TABLE OF CONTENTS........................................ Ⅳ LIST OF TABLES........................................... Ⅵ LIST OF FIGURES.......................................... Ⅶ CHAPTER ONE INTRODUCTION..................................1 1.1 Research Background and Motivations..................1 1.2 Research Objectives .................................4 1.3 Research Value.......................................5 1.4 Research Procedure...................................6 CHAPTER TWO LITERATURE REVIEW AND HYPOTHESES DEVELOPMENT..8 2.1 Definition of Theory and Research Constructs .........8 2.1.1 Consciousness–Emotion–Value (C–E–V) model ..........8 2.1.2 Price Sensitivity..................................11 2.1.3 Consciousness - Website Quality and Product Usability................................................13 2.1.4 Emotions : Pleasure, Arousal, and Dominance........18 2.1.5 Shopping Value: Hedonic value and Utilitarian value....................................................21 2.1.6 Innovativeness as moderator........................23 2.2 Hypotheses Development...............................25 2.2.1 Website Quality, Product Usability and Emotions...25 2.2.2 Moderating Effect –Innovativeness.................27 2.2.3 Emotions and Shopping Value.......................28 2.2.4 Shopping value and Price Sensitivity..............29 2.3 Research Conceptual Framework........................30 CHAPTER THREE RESEARCH DESIGN AND METHODOLOGY............34 3.1 Measurement Development..............................34 3.2 Stimuli Selection....................................35 3.3 Pilot Test...........................................37 3.3.1 First Pilot Test Results...........................38 3.3.2 Second Pilot Test..................................39 3.4 Data Analysis Method.................................45 CHAPTER FOUR RESULTS OF DATA ANALYSIS....................48 4.1 Sample Characteristics...............................48 4.2 Measurement Assessment...............................49 4.2.1 Confirmatory Factor Analysis.......................50 4.2.2 Reliability and Convergent Validity Analysis.......54 4.2.3 Discriminant validity..............................55 4.3 Structural Model Analysis............................58 4.3.1 Structural coefficient estimates...................61 4.3.2 The modify model about study 2 -product situation..62 4.4 Hierarchical Regression Analysis.....................64 4.5 Comparison Analysis..................................67 4.6 Additional Analysis..................................68 4.6.1 Results of t-Test for Moderating Effect............68 4.6.2 Results of Regression of Innovativeness to Price Sensitivity..............................................69 4.6.3 MANOVA Analysis and t-Test for Demographic.........70 CHAPTER FIVE RESEARCH CONCLUSIONS AND CONTRIBUTIONS......75 5.1 Summary of Hypotheses................................75 5.2 Discussion and Conclusions...........................77 5.3 Theoretical Implications.............................82 5.4 Managerial Implications..............................83 5.5 Limitation and Future Research.......................85 REFERENCES...............................................87 APPENDIX A The Measurement Items of All Constructs......96 APPENDIX B Six Types of Website Design.................101 APPENDIX C Two Products of Digital Camera (Product A and B)......................................................105 APPENDIX D Item Analysis Results (Pilot test 1)........107 APPENDIX E Formal Questionnaire in Chinese (Study 1 and Study 2)................................................111 APPENDIX F Measurement Model for Confirmatory Factor Analysis (Study 1 and 2)................................121 APPENDIX G The Ordered Probit for Moderating Effect....124 APPENDIX H The Ordered Probit for Innovativeness to Price Sensitivity.............................................126

    Agarwal, R., & Prasad, J. (1998). A conceptual and operational definition of personal innovativeness in the domain of information technology. Information System Research, 9(2), 204-215.
    Ailawadi, K. L., Neslin, S.A., & Gedenk, K. (2001). Pursuing the value-conscious consumer: Store brands versus national brand promotions. Journal of Marketing, 65(1), 71-89.
    Ajzen, I. (1991). The theory of planned behavior. Organizational Behavior and Human Decision Processes, 50(2), 179-211.
    Aladwani, A. M., & Palvia, P. C. (2002). Developing and validating an instrument for measuring user-perceived web quality. Information & Management, 39(6), 467-476.
    Alba, J.W., Lynch, J., Weitz, B., Janiszewski, C., Lutz, R.,Sawyer, A., & Wood, S.(1997). Interactive home shopping: consumer, retailer, and manufacturer incentives to participate in electronic marketplaces. Journal of Marketing, 61(3), 38–53.
    Alexandru, M.D., Arvind, R., & Jianan, W. (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.
    Anderson, J.C., & Gerbing, D.W. (1998). Structural equation modeling in practice: A review and recommended two-step approach. Psychological Bulletin, 103(3), 411-423.
    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.
    Bagozzi, R.P., & Yi, Y. (1988). On the evaluation of structural equation models. Journal of the Academy of Marketing Science, 16(1), 74-94.
    Bagozzi, R.P., Gopinath, M., & Nyer P.U. (1999). The role of emotions in marketing. Journal of the Academy of Marketing Science, 27(2), 184–206.
    Baker, J., Levy, M., & Grewal, D. (1992). An experimental approach to making retail store environmental decisions. Journal of Retailing, 68(4), 445-458.
    Bearden, W.O., Ingram, T.N., & LaForge, R.W.(1995). Marketing: Principles and Perspectives, Irwin, Chicago, IL.
    Bennet, J.,(1984). Managing to meet usability requirements: Establishing and meeting software development goals. In: Bennet, J., Case, D., Sandelin, J., Smith, M. (Eds.), Visual Display Terminals. Prentice-Hall, Englewood Cliffs, NJ, pp. 161–184.
    Berry, L.L., Carbone, L. P., & Haeckel, S. H. (2002). Managing the total customer experience. MIT Sloan Management Review, 43(3), 85-89.
    Blake, B. F., Neuendorf, K.A., & Valdiserri, C. M. (2003). Innovativeness and variety of Internet shopping. Internet Research: Electronic Networking Applications and Policy, 13(3), 156-169.
    Bloch, P.H.(1995). Seeking the ideal form: Product design and consumer response. Journal of Marketing, 59(3),16-29.
    Chandon, P., Wansink, B., & Laurent, G. (2000). A benefit congruency framework of sales promotion effectiveness. Journal of Marketing, 64(4), 65-81.
    Chaudhuri, A. (2006). Emotion and Reason in Consumer Behavior. Butterworth-Heinemann: Oxford, UK.
    Chaudhuri, A., & Holbrook, M. B. (2001). The chain of effects from brand trust and brand affect to brand performance: The role of brand loyalty. Journal of Marketing, 65(2), 81-93.
    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.
    Chiu, H-C., Hsieh, Y-C., Li, Y-C., & Lee, M. (2005). Relationship marketing and consumer switching behavior. Journal of Business Research, 58(12), 1681– 1689.
    Chu, J., Chintagunta, P., & Cebollada, J. (2008). A comparison of within-household price sensitivity. Marketing Science, 27(2), 283–299.
    Citrin, A., Sprott, D., Silverman, S., & Stem, D. E. (2000). Adoption of Internet shopping: The role of consumer innovativeness. Industrial Management and Data Systems, 100(7), 294-300.
    Conchar, M.P., Zinkhan, G.M., Peters, C., & Olavarrieta, S. (2004). An integrated framework for the conceptualization of consumers’ perceived-risk processing. Journal of the Academy of Marketing Science, 32(4), 418-436.
    Cotte, J., & Wood, S.L. (2004). Families and innovative consumer behavior: A triadic analysis of sibling and parental influence. Journal of Consumer Research,31(1), 78-86.
    Crilly, N., Moultrie, J., & Clarkson, P. J. (2004). Seeing things: consumer response to the visual domain in product design. Design Studies, 25(6), 547-577.
    Cronin, J. J., Brady, M. K., & Hult, G. T. (2000). Assessing the effects of quality, value and customer satisfaction on consumer behavioral intentions in service environments. Journal of Retailing, 76(2), 193-218.
    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.
    Donovan, R. J., Rossiter, J. R., Marcoolyn, G., & Nesdale A. (1994). Store atmosphere and purchasing behavior. Journal of Retailing, 70(3), 283-294.
    Eastern-Integrated Consumer Profile (E-ICP ) (2008). Eastern Online Co., Ltd.
    Eraslan, E. (2009). Usability evaluation of MP3/CD players: A multi-criteria decision making approach. Human Centered Design. Heidelberg: Springer Berlin.
    Erdem, T., Swait, J., & Louviere, J. (2002). The impact of brand credibility on consumer price sensitivity. International journal of Research in Marketing, 19(1), 1 -19.
    Eroglu, S. A., Machleit, K. A., & Davis, L. M. (2003). Empirical testing of a model of online store atmospherics and shopper responses. Psychology & Marketing, 20(2), 139-150.
    Ethier, J., Hadaya, P., Talbot, J., & Cadieux, J. (2006). B2C web site quality and emotions during online shopping episodes: An empirical study. Information & Management, 43(5), 627-639.
    Ferrell, O. C., & Hartline, M. D. (2005). Marketing Strategy (3rd ed.). Mason, OH: Thompson/South-Western College.
    Figueiredo, J. D. (2000). Finding sustainable profitability in electronic commerce. Sloan Management Review, 41(4),41-52.
    Fiore, A. M., Jin, J. H., & Kim, J. (2005). For fun and profit: Hedonic value from image interactivity and responses toward an online store. Psychology & Marketing, 22(8), 669-694.
    Flynn, L. R., & Goldsmith, R. E. (1993). A validation of the Goldsmith and Hofacker innovativeness scale. Education and Psychology, 53(4), 1105-1116.
    Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18 (1), 39-50.
    Foxall, G. R., & Greenley, G. (1998). The affective structure of consumer situations. Environment and Behavior, 30(6), 781-798.
    Foxall, G. R., & James, V. K. (2003). The behavioral ecology of brand choice: How and what do consumers maximize? Psychology & Marketing, 20(9), 811-836.
    Garber,L.L. (1995).The package appearance in choice. Advances in Consumer Research, 22(1 ),653-661.
    Gardner, D. M., Johnson, F., Lee, M., & Wilkinson, I. (2000). A contingency approach to marketing high technology products. European Journal of Marketing, 34(9/10),1053–1077.
    Goldsmith, R. E. (2000). How innovativeness differentiates online buyers. Quarterly Journal of Electronic Commerce, 1(4), 323-333.
    Goldsmith, R. E. (2001). Using the domain specific innovativeness scale to identify innovative Internet consumers. Internet Research: Electronic Networking Applications and Policy, 11(2), 149-158.

    Goldsmith, R. E., & Hofacker, C. F. (1991). Measuring consumer innovativeness. Journal of the Academy of Marketing Science, 19(3), 209-221.
    Goldsmith, R. E., & Newell, S. J. (1997). Innovativeness and price sensitivity: Managerial, theoretical, and methodological issues. Journal of Product and Brand Management, 6(3), 163-173.
    Goldsmith, R. E., Kim, D., Flynn, L. R., & Kim, W-M. (2005). Price sensitivity and innovativeness for fashion among Korean consumers. Journal of social psychology, 145(5), 501-508.
    Gonul, F.F., Carter, F., Petrova, E., & Srinivasan, K.(2001). Promotion of prescription drugs and its impact on physicians’ choice behavior. Journal of Marketing, 65(3), 79-90.
    Gregg, D. G., & Walczak, S. (2008). Dressing your online auction business for success: An experiment comparing two e-bay businesses. MIS Quarterly, 32(3), 653-670.
    Grewal, D., Munger, J.L., Iyer, G. R. & Levy, M. (2003). The influence of internet-retailing factors on price expectations. Psychology & Marketing, 20(6), 477–493.
    Hair, J. F., William, C. B., Barry, J. B., Anderson, R. E. & Tatham, R. L. (2006). Multivariate Data Analysis(6th ed.). Englewood Cliff, NJ: Prentice Hall.
    Hair, J.F., Anderson, R.E., Tatham, R.L., & Black, W.C. (1998). Multivariate Data Analysis (5th ed.). Upper Seddle River, New Jersey, USA: Prentice-Hall.
    Han, S. H., &Yang, H. (2004).Screening important design variables for building a usability model: genetic algorithm-based partial least-squares approach. International Journal of Industrial Ergonomics , 33(2),159–171.
    Han, S-H, Yun, M-H, Kim, K-J, & Kwahk, J. (2000). Evaluation of product usability: Development and validation of usability dimensions and design elements based on empirical models. International Journal of Industrial Ergonomics,26 , 477-488.
    Han, S-H, Yun, M-H, Kwahk, J., & Hong, S-W. (2001). Usability of consumer electronic products. International Journal of Industrial Ergonomics, 28(3/4),143–151.
    Higgins, S. H., & Shanklin, W. L. (1992). Seeking mass market acceptance for high-technology consumer products. Journal of Consumer Marketing, 9(1),5–14.
    Hirschman, E. C. (1983). Predictors of Self-Projection, Fantasy Fulfillment, and Escapism. Journal of Social Psychology, 120(1), 63-76.
    Hirschman, E. C., & Holbrook, M. B. (1982). Hedonic consumption: Emerging concepts, methods and propositions. Journal of Marketing, 46(3), 92-101.

    Hirunyawipada, T., & Paswan, A. K. (2006). Consumer innovativeness and perceived risk: Implications for high technology product adoption. Journal of Consumer Marketing, 23(4),182-198.
    Hoffman, D. L., & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: conceptual foundations. Journal of Marketing, 60(3), 50-68.
    Holbrook, M. B. (1986). Emotions in the consumption experience: Toward a new model of consumer behavior. In R.A. Peterson, W. D. Hoyer & W. R. Wilson (eds.), The Role of Affect in Consumer Behavior: Emerging Theories and Applications, Lexington, MA: Heath, 17-52.
    Holbrook, M. B., & Corfman, K. P. (1985). Quality and value in the consumption experience: Phaedrus rides again. In J. Jacoby & J. Olson (ed.), Perceived Quality. Lexington (MA)7 Lexington Books, 31-57.
    Hurt, H. T., Katherine, J., & Chester, D. C. (1977). Scales for the measurement of innovativeness. Human Communication Research, 4(1), 58-65.
    Isen, A. M. (1987). Positive Affect, Cognitive Processes, and Social Behavior. In L. Berowitz (ed.), Advances in Experimental Social Psychology, New York: Academic Press, 203-251.
    Iwaarden, J. V., Wiele, T. V. D., Ball, L., & Millen, R. (2004). Perceptions about the quality of web sites: A survey amongst students at Northeastern University and Erasmus University. Information & Management,41(8), 947-959.
    J. Enrique Bigne´, J. E., & Andreu, L. (2004). Emotions in segmentation: An empirical study. Annals of Tourism Research, 31(3), 682–696.
    Kempf, D. S. (1999). Attitude formation from product trial: Distinct roles of cognition and affect for hedonic and functional products. Psychology and Marketing,16(1), 35-50.
    Kotler, P. (1994). Marketing Management: Analysis, Planning, Implementation, and Control, 8th ed., Prentice-Hall, Englewood Cliffs, NJ.
    Kulviwat, S., Bruner, G. C., II, Kumar, A., Nasco, S. A., & Clark, T. (2007). Toward a unified theory of consumer acceptance of technology. Psychology & Marketing, 24(12), 1059–1084.
    Kwahk, J., & Han, S. H. (2002). A methodology for evaluating the usability of audiovisual consumer electronic products. Applied Ergonomics, 33,419-431.
    Lee, H. J., Lim, H., Jolly, L. D., & Lee, J. (2009). Consumer lifestyles and adoption of high-technology products: A case of south Korea. Journal of International Consumer Marketing, 21(2),153–167.
    Lee, K. S., & Ng, I.C.L. (2001). Advanced sale of service capacities: A theoretical analysis of the impact of price sensitivity on pricing and capacity allocations. Journal of Business Research, 54(3), 219-225.
    Li, J-G. T., Kim, J-O., & Lee, S. Y. (2009). An empirical examination of perceived retail crowding, emotions, and retail outcomes. Service Industries Journal, 29(5), 635-652.
    Limayem, M., Khalifa, M., & Frini, A. (2000). What makes consumers buy from the internet? A longitudinal study of online shopping. IEEE Transactions on Systems, Man, and Cybernetics—Part A: Systems and Humans, 30(4), 421-432.
    Liu, C., & Arnett, K. P.(2000). Exploring the factors associated with website success in the context of electronic commerce. Information & Management, 38(1), 23–33.
    Lu J., Liu, C., Yu, C. S., & Wang, K. (2008). Determinants of accepting wireless mobile data services in China. Information & Management, 45 (1), 52–64.
    Lu, H., & Lin, J. C-C. (2002). Predicting customer behavior in the market-space: A study of Rayport and Sviokla’s framework. Information & Management, 40(1), 1-10.
    Lynch, J.G. & Ariely, D. (2000).Wine online: Search costs affect competition on price, quality, and distribution. Marketing Science, 19(1),83-103.
    Manning, K.C., Bearden, W.O. & Madden, T. J. (1995). Consumer innovativeness and the adoption process. Journal of Consumer Psychology, 4(4), 329-345.
    Mano, H. & Oliver, R. L. (1993). Assessing the dimensionality and structure of the consumption. Journal of Consumer Research, 20(3), 451-460.
    Market Intelligence and Consulting Institute (MIC), 2009 http://www.eettaiwan.com/ART_8800587989_675327_NT_cc9d1866.HTM
    Mayhew, D. (1992). Principles and Guidelines in Software User Interface Design. Prentice-Hall, Englewood Cliffs, NJ.
    Mayhew, T. M. (1992).A review of recent advances in stereology for quantifying neural structure. Journal of Neurocytol, 21(5),313–328.
    McDougall, G. H. G., & Levesque, T. (2000). Customer satisfaction with services: putting perceived value into the equation. Journal of Services Marketing, 14(5), 392-410.
    Mehrabian, A., & Russell, J. A. (1974). An Approach to Environmental Psychology. Cambridge, MA: MIT Press.
    Menon, S., & Kahn, B. (2002). Cross-category effects of induced arousal and pleasure on the Internet shopping experience. Journal of Retailing, 78(1), 31-40.
    Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2003). The influence of technology anxiety on consumer use and experiences with self-service technologies. Journal of Business Research, 56(11), 899-906.

    Meuter, M. L., Bitner, M. J., Ostrom, A. L., & Brown, S. W. (2005). Choosing among alternative service delivery modes: An investigation of customer trial of self-service technologies. Journal of Marketing, 69(2),61–83.
    Midgley, D. F., & Dowling, G. K. (1978). Innovation: The concept and its measurements. Journal of Consumer Research, 4(4), 229-242.
    Midgley, D.F., & Dowling, G.R. (1993).A longitudinal study of product form innovation: The interaction between predispositions and social messages. Journal of Consumer Research, 19(4), 611-625.
    Moon, J. W., & Kim, Y. G. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38(4), 217-230.
    Nasco, S. A., Kulviwat, S., Kumar, A., & Bruner II, G. C. (2008). The cat model: Extensions and moderators of dominance in technology acceptance. Psychology & Marketing, 25(10), 987–1005.
    Nielsen, J. (1993). Usability Engineering. AP Professional, NY.
    Novak, T.P., Hoffman, D.L., & Yung, Y.F. (2000).Measuring the customer experience in on-line environment: a structural modeling approach. Marketing Science,19(1), 22–42.
    Nunnally, J.C. (1978). Psychometric Theory (2nd ed.), New York: McGraw-Hill.
    Overby, J. W., & Lee, E-J. (2006). The effects of utilitarian and hedonic online shopping value on consumer preference and intentions. Journal of Business Research, 59(10/11),1160– 1166.
    Peter, J.D., Isaac, W.W., & Robert, A.D. (2003). A comparison of online and offline consumer brand loyalty. Marketing Science, 22(4),461-476.
    Pham, M. T. (1998). Representatives, relevance, and the use of feelings in decision making. Journal of Consumer Research, 25(2), 144-157.
    Porter, C. E., & Donthu, N. (2006). Using the technology acceptance model to explain how attitudes determine Internet usage: The role of perceived access barriers and demographics. Journal of Business Research,59(9),999–1007.
    Ramirez, E., & Goldsmith, R. E. (2009). Some antecedents of price sensitivity. Journal of Marketing Theory and Practice, 17(3), 199-213.
    Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & Management, 39(6), 457-465.
    Robinson, L. (2005). Sales force use of technology: Antecedents to technology acceptance. Journal of Business Research, 58(12), 90-103.

    Roehrich, G. (2004). Consumer innovativeness: concepts and measurements. Journal of Business Research, 57(6), 671-677.
    Rogers, E. (1995). Diffusion of Innovations (4th ed.). New York: The Free Press.
    Russell, J. A. (1979).Affective space is bipolar. Journal of Personality and Social Psychology, 37(3), 345– 356.
    Seva, R.R., Duh, H., & Helander, M. (2005). Development of a conceptual model of product emotion in the pre-purchase context. Paper Presented at the 11th International Conference on Human–Computer Interaction, Las Vegas.
    Seva, R.R., Duh, H., & Helander, M. (2007). The marketing implications of affective product design. Applied Ergonomics, 38(6),723–731.
    Shackel, B., 1984. The concept of usability. In: Bennet, J., Case, D., Sandelin, J., Smith, M. (Eds.), Visual Display Terminals. Prentice-Hall, Englewood Cliffs, NJ, pp. 45–87.
    Shankar, V., Rangaswamy, A., & Pusateri, M. (2001). The Online Medium and Price Sensitivity (Working Paper). College Park, MD: University of Maryland.
    Shankar, V., Smith, A. K., & Rangaswamy, A. (2003). Customer satisfaction and loyalty in online and offline environments. International Journal of Research in Marketing, 20(2),153-175.
    Sherman, E., Mathur, A., & Smith, R. B. (1997). Store environment and consumer purchase behavior: Mediating role of consumer emotions. Psychology & Marketing, 14(4), 361–378.
    Shimp, T. A., Dunn, T. H., & Klein, J. G. (2004). Remnants of the U.S. Civil War and modern consumer behavior. Psychology & Marketing, 21(2), 75-91.
    Shneiderman, B. (1992). Designing the User Interface: Strategies for Effective Human-Computer Interaction. Addison-Wes-ley, Reading, MA.
    Sultan, F. (2002). Consumer response to the internet: An exploratory tracking study of online home users. Journal of Business Research, 55(8), 655-663.
    Tellis, G. J. (1988). The price elasticity of selective demand: A meta-analysis of econometric models of sales. Journal of Marketing Research, 25(4), 331-341.
    To, P-L., Liao, C., & Lin, T-H.(2007). Shopping motivations on Internet: A study based on utilitarian and hedonic value. Technovation, 27 (12),774–787.
    Verhagen, T. & Dolen, W. V. (2009). Online purchase intentions: A multi-channel store image perspective. Information & Management, 46(3),77–82.
    Wakefield, K. L,. & Inman, J. J. (2003). Situational price sensitivity: The role of consumption occasion, social context and income. Journal of Retailing, 79(4), 199-212.
    Wang L.C., Baker, J, Wagner J.A., & Wakefield, K. (2007). Can a retail website be social? Journal of Marketing, 71(3),143-157.
    Westbrook, R.A., & Oliver, R.L. (1991). The dimensionality of consumption emotion patterns and consumer satisfaction. Journal of Consumer Research, 18 (1), 84–91.
    Wirtz, J., & Bateson, J.E.G. (1999). Consumer satisfaction with services: Integrating the environment perspective in services marketing into the traditional disconfirmation paradigm. Journal of Business Research, 44(1), 55-66.
    Wolfinbarger, M., & Gilly, M.C. (2001). Shopping on-line for freedom, control, and fun. California Management Review, 43(2), 34–55.
    Wu, M. L. (2008). Structural equation modeling-Amos operation and application (2nd ed.). Taipei: Wunan.
    Yang, Z., Cai, S., Zhou, Z., & Zhou, N.(2005). Development and validation of an instrument to measure user perceived service quality of information presenting web portals. Information & Management, 42 (4), 575–589.
    Yun, M.H., Han, S. H., Hong, S.W., & Kim, J. (2003). Incorporating user satisfaction into the look-and-feel of mobile phone design. Ergonomics,46(13/14), 1423 -1440.
    Zaltman, G. (2003). How Customers Think: Essential Insights into the Mind of the Market. Boston: Harvard Business School Press.
    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.

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