中文部份:
邱貴發 (1992),「電腦素養教學的主要課題-找尋持久性的電腦素養知識與技能」,台灣教育,第495卷,頁36-41。
邱皓政(2002),「量化研究與統計分析」,台北:五南。
吳萬益(2005),「企業研究方法」,台北:華泰書局。
施純協 (1995),高級職業學校工科畢業生具備之資訊能力分析研究,報告編號:NSC84-2511-S-003-079,國科會。
陳順宇(2004),「多變量分析」,台北:華泰書局。
惠子健(2002),「台北市高職(中)工科教師電腦知能調查研究」國立彰化師範大學工業教育研究所未出版碩士論文。魏碧梅 (2004),「台灣網際網路使用者對即時通訊之認知與實際使用狀況」國立政治大學資訊管理研究所未出版碩士論文。英文部份:
Agarwel, R. and Prasad, J. (1999), “Are Individual Differences Germane to the Acceptance of New Information Technologies?”, Decision Sciences, Vol. 30, No. 2, pp .361-391.
Akaah, I. P. and Korgaonkar, P. K. (1988), “A conjoint investigation of the relative importance of risk relatives in direct marketing”, Journal of Advertising Research, Vol. 28, No. 4, pp. 38-44.
Anderson, E. W. and Sullivan, M. W. (1993), “The Antecedents and Consequences of Customer Satisfaction for Firms”, Marketing Science, Vol. 12, No. 2, pp. 125-143.
Ba, S. and Pavlou, P. A. (2002), “Evidence of the Effect of Trust Building Technology in Electronic Markets:Price Premiums and Buyer Behavior”, MIS Quarterly, Vol. 26, No. 3, pp. 243-268.
Bagozzi, R. P. and Yi, Y. (1988), “On the Evaluation of Structural Equation Models”, Journal of the Academy of Marketing Science, Vol. 16, No.1, pp. 74-94.
Bandura, A. (1977), “Self-efficacy: toward a unifying theory of behavioral chan”,
Psychological Review, Vol. 84, No. 2, pp. 191-215.
Bandura, A. (1982), “Self-efficacy Mechanism in Human Agency”, American Psychologist, Vol. 37, No. 2, pp. 122-147.
Bandura, A. (1991), “Social Cognitive Theory of Self-Regulation”, Organizational Behavior & Human Decision Processes, Vol. 50, No. 2, pp.248-287.
Barnett, L. A. (1991), “Characterizing playfulness: Correlates with individual
attributes and personality traits”, Play and Culture, Vol. 4, No. 4, pp. 371-393.
Bauer, R. A. (1960), Consumer behavior as risk taking, Dynamic Marketing for a Changing World, Proceedings of the 43rd Conference of the American Marketing Association, in R.S. Hancock (Ed.), pp. 389-398.
Beam, C. and Segev, A. (1998),” Auctions on the Internet: A Field Study, Working Paper 98-WP-1032”, the Fisher Center for Management and Information Technology, University of California at Berkeley
Bhatnagar, A., Misra, S. and Rao, H. R. (2000), “On Risk, Convenience, and Internet Shopping Behavior”, Communications of the ACM , Vol. 43, No. 11, pp. 98-105.
Burton-Jones, A. and Hubona, G. S. (2006), “The mediation of external variables in the technology acceptance model”, Information & Management, Vol. 43, No. 6, pp. 706-717.
Brooker, G. (1984),“An Assessment of an Expanded Measure of Perceived Risk”, Advances in Consumer Research, Vol. 11, No. 1, pp. 439-441.
Browne, M. W. and Cudeck, R. (1993), Testing structural equation models, Newbury Park:Sage.
Cardozo, R. N. (1965), “An Experimental Study of Customer Effort, Expectation, and Satisfaction”, Journal of Marketing Research, Vol. 2, No. 3, pp. 244-249.
Castaneda, J. A., Munoz-Leiva, F. and Luque, T. (2007), “Web Acceptance Model (WAM): Moderating effects of user experience”, Information & Management, Vol. 44, No. 4, pp. 384-396.
Cassady, R. (1967), “Auctions & Auctioneering,” Berkeley, University of California Press, Berkeley, CA
Cheng, J. M. S., Sheen, G. J. and Lou G. C. (2006), “Consumer acceptance of the internet as a channel of distribution in Taiwan- a channel function perspective”, Technovation, Vol. 26, No. 7, pp. 856-864.
Cheng, T. C. E., Lam, D. Y. C. and Yeung, A. C. L. (2006), “Adoption of internet banking: An empirical study in Hong Kong”, Decision Support Systems, Vol. 42, No. 3, pp. 1558-1572.
Choong, P., Ho, S. J. K. and McDonald, R.A. (2002), “An Examination of the Effects of Social Desirability Bias on Business Ethics: Research Results”, International Journal of Management, Vol. 19, No. 1, pp. 3-9.
Churchill, J. G. A. and Surprenant, C. (1982), “An Investigation into the Determinants of Customer Satisfaction”, Journal of Marketing Research, Vol. 19, No. 4, pp. 491-504.
Compeau, D. R. and Higgins, C. A. (1995), “Computer Self-Efficacy: Development of a Measure and Initial Test, MIS Quarterly, Vol. 19, No. 2, pp. 189-211.
Cox, D. F. (1967), Risk Taking and Information Handling in Consumer Behavio,
Harvard University Press, Boston, MA
Csikszentimihalyi, M. (1975), Beyond Boredom and Anxiety, Jossey-Bass, San Francisco, CA.
Czepiel, J. A., Rosenberg L. J. and Akerele A. (1974), Perspective on Consumer Satisfaction, AMA Conference Proceedings, American Marketing Association, Chicago, pp. 119-123.
Darley, W. K. and Smith, R. E. (1995), “Gender Differences in Information Processing Strategies: An Empirical Test of the Selectivity Model in Advertising Response”, Journal of Advertising, Vol. 24, No. 1, pp. 41-56.
Davis, F. D. (1986), “A Technology Acceptance Model for Empirically Testing New End-user Information System: Theory and Results, Doctoral Dissertation”, MIT Sloan School of Management Cambridge, MA
Davis, F. D. (1989), “Perceived usefulness, perceived ease of use, and user acceptance of information technology”, MIS Quarterly, Vol. 13, No. 3, pp. 319-340.
Davis, F. D. and Venkatesh, V. (1996), “A critical assessment of potential measurement biases int the technology acceptance model: the three experiments”, International Journal of Human-Computer Studies, Vol. 45, No. 1, pp. 19-45.
Degeratu, A. M., Rangaswamy, A. and 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, Vol. 17, No.1, pp. 55-78.
Delcourt, M. A. B. and Kinzie, M. B. (1993), “Computer technologies in teacher education:the measurement of attitude and self-efficacy”, Journal of Research and Development in Education, Vol. 27, No. 1, pp. 35 -41.
Devaraj, S., Ming, F. and Kohli, R. (2002), “Antecedents of B2C channel satisfaction and preference: validating e-commerce metrics”, Information Systems Research ,Vol. 13 , No. 3, pp. 316-333.
Dholakia, U. M. and Soltysinski, K. (2003), “Coveted or Overlokked? The Psychology of Bidding for Comparable Listings in Digital Auctions”, Marketing Letters, Vol. 14, No. 2, pp. 277-286.
Dowling, G.R. and Staelin, R. (1994), “A Model of Perceived Risk and Intended Risk-handing Activity”, Journal of Consumer Research, Vol. 21, No.1, pp. 119-134.
Dunn, M. G., Murphy, P. E. and Skelly, G. U. (1986), “Research Note: The Influence of Perceived Risk on Brand Preference for Supermarket Products”, Journal of Retailing, Vol. 62, No. 2, pp. 204-216.
Erickson, G. M. and Johansson, J. K. (1985), “The Role of Price in Multi-Attribute Product Evaluations”, Journal of Consumer Research, Vol. 12, No. 2, pp.195-199.
Estelami, H. and De Maeyer, P. (2004), “Product category determinants of price knowledge for durable consumer goods”, Journal of Retailing, Vol. 80, No. 2, pp. 129-137.
Featherman, M. S. and Pavlou, P.A. (2003), “Predicting e-services adoption: a perceived risk facets perspective”, International Journal of Human-Computer Studies, Vol. 59, No. 4, pp. 451-474.
Fishbein, M. and Ajzen, I. (1975), Belief, Attitude, Intention and Behavior : An Introduction to Theory and Research, Addsion-Wesley, MA
Fornell, C. Bookstein, F. L. (1982), “Two Structural Equation Models: LISREL and PLS Applied to Consumer Exit-Voice Theory”, Journal of Marketing Research, Vol. 19, No. 4, pp. 440-452.
Forsythe, S. M. and Shi, B. (2003), “Consumer patronage and risk perceptions in Internet shopping”, Journal of Business Research, Vol. 56, No.11, pp. 867-876.
Gatignon, H. (1984), “ Competition as a Moderator of the Effect of Advertising on Sales”, Journal of Marketing Research, Vol. 21, No. 4, pp. 387-398.
Gefen, D. (2000), “E-commerce: the role of familiarity and trust”, Omega, Vol. 28, No. 6, pp. 725-737
Gist, M. E. and Mitchell, T. B. (1992), “Self-Efficacy: A Theoretical Analysis of Its Determinants and Malleability”, Academy of Management Review, Vol. 17, No. 2, pp. 183-211.
Guieford, J. P.(1965)Fundamental Statistics in Psychology and Education, New York: McGram-Hill.
Hair, J. F., Anderson, R. E., Tatham, R. L. and Black W. C., Multivariate Data
Analysis, New Jersey: Prentice-Hall, 1998.
Hasan, B. (2006), “Delineating the effects of general and system-specific computer self-efficacy beliefs on IS acceptance”, Information & Management, Vol. 43, No. 5, pp. 565-571.
Hasan, B. and Ahmed, M. U. (2007), “Effects of interface style on user perceptions and behavioral intention to use computer systems”, Computers in Human Behavior, Vol. 23, No. 6, pp. 3025-3037.
Havlena, W. J. and Desarbo, W. S. (1991), “On the Measurement of Perceived Consumer Risk”, Decision Sciences, Vol. 22, No. 4, pp. 927-939.
Heck, E. V. and Ribbers, P. M. (1997), “Experiences with Electronic Auctions in the Dutch Flower Industry”, Electronic Markets7, pp. 429-34.
Hijikata, Y., Ohno H., Kusumura, Y. and Nishida, S. (2007), “Social summarization of text feedback for online auctions and interactive presentation of the summary”, Knowledge-Based Systems, Vol. 20, No. 6, pp. 527-541.
Hill, T., Smith, N. D. and Man, M. F. (1987), “Role of Efficacy Expectations in Predicting the Decision to Use Advanced Technologies: The Case of Computers”, Journal of Applied Psychology, Vol. 72, No. 2, pp. 307-313.
Hofacker, N. V., Papou&sbrave ek, M. (1998) , “ Disorders of excessive crying, feeding, and sleeping: The Munich Interdisciplinary Research and Intervention Program”, Infant Mental Health Journal, Vol. 19, No. 2, pp. 180-201.
Hong, S. J., Thong, J. Y. L. and Tam, K.Y. (2006), “Understanding continued information technology usage behavior: A comparison of three models in the context of mobile internet”, Decision Support Systems, Vol. 42, No.3, pp. 1819-1834.
Howard, J.A. and Jagdish, N. S. (1969), The Theory of Buyer Behavior, New York:Wiley
Hsu, C. L. and Lu, H.P. (2007), “Consumer behavior in online game communities: A motivational factor perspective”, Computers in Human Behavior, Vol. 23, No. 3, pp. 1642-1659.
Hu, L. and Bentler P. M. (1999), “Cutoff criteria for fit indexes in covariance structural equation modeling: Conventional criteria versus new alternatives,” Structural Equation Modeling, Vol. 6, No. 1, pp. 1-55.
Huber, J. Holbrook, M. B. Kahn, B. (1986), “Effects of Competitive Context and of Additional Information on Price Sensitivity”, Journal of Marketing Research, Vol. 23, No. 3, pp. 250-260.
Hunter, B. (1983), My students use computers, Reston,Virginia:Reston Publication
Igbaria, M., Guimaraes, T. and Davis, G. B. (1995), “Testing the Determinants of Microcomputer Usage via a Structural Equation Model”, Journal of Management Information Systems, Vol. 11, No. 4, pp. 87-114.
Igbaria, M. and Iivari, J. (1995), “The Effects of self-efficacy on computer usage”, Omega, Vol. 23, No. 6, pp. 587-605.
Jacoby, J. and Kaplan, L. (1972), The Components of Perceived Risk, Proceedings of 3rd Annual Conference, Association for Consumer Research, pp. 382-393.
Jacoby, J. and Olson J. C. (1977), Price as an Informational Cue:Effect in Product Evaluation. In Proceedings of the Third Annual Conference of The Association for Consumer Research, Association for Consumer Research, Venkatesan M. and College Park, pp.167-179.
Imsook, H., Youngseog, Y. and Munkee, C. (2007), “Determinants of adoption of mobile games under mobile broadband wireless access environment”, Information & Management, Vol. 44, No. 3, pp. 276-286.
Kanetkar, V., Weinberg, C. B. Weiss, D. L. (1992), “Price Sensitivity and Television Advertising Exposures: Some Empirical Findings”, Marketing Science, Vol. 11, No. 4, pp. 359-371.
Kaplan, L. B., Szybillo, G. J. and Jacoby, J. (1974), “Components of Perceived Risk in Product Purchase: A Cross-Validation”, Journal of Applied Psychology, Vol. 59, No. 3, pp. 287-291.
Kashyap, R. and Bojanic, D. C.(2000)A Structural Analysis of Value, Quality, and Price Perceptions of Business and Leisure Travelers, Journal of Travel Research, Vol. 39 ,No.1, pp.45-51.
Kay, R. H. (1993), “A Practical Research Tool for Accessing Ability to Use Computer:The Computer Ability Survey”, Journal of Research on Computing in Education, Vol. 26, No. 1, pp. 16-27.
Kear, M. (2000), “Concept analysis of self-efficacy”. Graduate Research in Nursing, Vol. 2, No. 2, No pagination.
Kehoe, J. E. and Pitkow, C. M. (1996), “Emerging Trends in the WWW user Population”, Communications of the ACM, Vol. 39, No. 6, pp. 106-108.
Kettinger, W. J. and Lee, W. J. (1994), “Perceived Service Quality and User Satisfaction with the Information Services Function”, Decision Sciences, Vol. 25, No. 5/6, pp. 737-766.
Kim, B. G., Park, S. C. and Lee, K. J. (2007), “A structural equation modeling of the Internet acceptance in Korea”, Electronic Commerce Research & Applications, Vol. 6, No. 4, pp. 425-432.
Kim, D. J., Ferrin, D. L. and 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, Vol. 44, No. 2, pp. 544-564.
Kim, H. W., Chan, H. C. and Gupta, S. (2007), “Value-based Adoption of Mobile Internet: An empirical investigation”, Decision Support Systems, Vol. 43, No.1, pp. 111-126.
Konradt, U., Christophersen, T. and Schaeffer-Kuelz, U. (2006), “Predicting user satisfaction, strain and system usage of employee self-services”, International Journal of Human-Computer Studies, Vol. 64, No. 11, pp. 1141-1153.
Kotler, P. (1991) Marketing Management Analysis, Planning, Implementation, and control, New Jersey : Prentice-Hall
Lee, S. M., Kim, L., Rhee, S. and Trimi, S. (2006), “The role of exogenous factors in technology acceptance: The case of object-oriented technology”, Information & Management, Vol. 43, No. 4, pp. 469-480.
Levine, T., and Donitsa-Schmidt, S. (1998), “Computer use, confidence, attitudes, and knowledge: A causal analysis”, Computers in Human Behavior, Vol. 14, No. 1, pp. 125–146.
Liao, C., Chen, J. L. and Yen, D. C. (2007), “Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model”, Computers in Human Behavior, Vol. 23, No. 6, pp. 2804-2822.
Liao, Z. and Cheung, M. T. (2001), “Internet-based e-shopping and consumer attitudes: an empirical study”, Information & Management, Vol. 38, No. 5, pp. 299-306.
Lichtenstein, D. R., Ridgway, N. M. and Netemeyer, R. G. (1993), “Price Perceptions and Consumer Shopping Behavior: A Field Study”, Journal of Marketing Research, Vol. 30, No. 2, pp. 234-245.
Lieberman(1977),Playfulness, New York:Academic Press
Littler, D. and Melanthiou, D. (2006), “Consumer perceptions of risk and uncertainty and the implications for behavior towards innovative retail services: The case of Internet Banking”, Journal of Retailing & Consumer Services, Vol. 13 , No. 6, pp. 431-443.
Loyd, B. H., and Gressard, C. (1984), “The Effects of Sex, Age and Computer Experience on Computer Attitude”. Association for Educational Data System Journal, Vol. 18, No. 4, pp. 347-367.
Lu, H. P., Hsu, C. L. and Hsu, H. Y. (2005), “An Empirical Study of the Effect of Perceived Risk upon Intention to use Online Applications”, Information Management & Computer Security, Vol. 13, No. 2, pp. 106-120.
Mamata, J., Yuhui, Z., and Bharat, B. (2007), “Cheating in online auction-Towards explaining the popularity of English auction”, Electronic Commerce Research & Applications, Vol. 6, No. 1, pp. 53-62.
McAfee, R. P. and MacMillan, J. (1987), “Auctions with Stochastic Number of Bidders”, Journal of Economic Theory, Vol. 43, No. 1, pp. 1-19.
McFarland, D. J. and Hamilton, D. (2006), “Adding contextual specificity to the technology acceptance model”, Computers in Human Behavior, Vol. 22, No. 3, pp. 427-447.
Mellarkod, V., Appan, R., Jones, D. R. and Sherif, K. (2007), “A multi-level analysis of factors affecting software developers’ intention to reuse software assets: An empirical investigation”, Information & Management, Vol. 44, No. 7, pp. 613-625.
Mitchell, V-W. and Greatorex, M. (1993), “Risk Perception and Reduction in the Purchase of Consumer Services”, Service Industries Journal , Vol. 13, No. 4, pp. 179-200.
Molnar, A. R. (1981), “The coming of computer literacy”, Educational Technology, Vol. 21, No. 1, pp. 26 -28.
Monroe, K. B. (1990) Pricing : Marketing Profitable Decisions,2nd Ed., McGraw-Hill Publishing Company
Monroe, K. B. and Krishnan R. (1985), Jacoby J. and J. C. Olson eds, Lexington:Lexington Lexington Books.
Moon, J.W. and Kim, Y.G. (2001), “Extending the TAM for a World-wide-Web context”, Information & Management, Vol. 38, No. 4, pp. 217-230.
Mooney, S. F. (2000), “Opportunities, Traps Abound In Privacy Risk”, Property & Casualty Risk & Benefits Management, Vol. 104, No. 26, pp. 19.
Nagle, T. T. and Holden, R. K. (2003),The Strategy and Tactics of Pricing:A Guide to Profitable Decision Making, New Jersey:Prentice Hall
Ngai, E. W. T., Poon, J. K. L. and Chan, Y. H. C. (2007), “Empirical examination of the adoption of WebCT using TAM”, Computers & Education, Vol. 48, No. 2, pp. 250-267.
O’Cass, A. and Fenech, T. (2003), “Web retailing adoption: exploring the nature of internet users Web retailing behavior”, Journal of Retailing & Consumer Services, Vol. 10, No. 2, pp. 81-84.
Oliver, R. L. (1980), “A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions”, Journal of Marketing Research, Vol. 17, No. 4, pp. 460-469.
Pavlou, P. A. and Gefen, D. (2004), “Building effective online marketplaces with
institution-based trust”, Information Systems Research, Vol. 15, No. 1, pp. 37-59.
Peter, J. P. and Tarpey, Sr. L. X. (1975), “A Comparative Analysis of Three Consumer Decisions Strategies”, Journal of Consumer Research, Vol. 2, No.1, pp. 29-37.
Porter, C. E. and 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, Vol. 59, No. 9, pp.999-1007.
Prince, D.L. (1999), “Online Auctions at eBay”, A Division of Prima Publishing.
Reck, M. (1997), “Trading-Process Characteristics of Electronic Auctions”, Electronic Markets, Vol. 7, No. 4, pp. 17- 23.
Roselius, T. (1971), “Consumer rankings of risk reduction methods”, Journal of Marketing, Vol. 35, No. 1, pp. 56-61.
Safford, M. R. and Stern, B. (2002), “Consumer Bidding Behavior on Internet Auction Sites”, International Journal of Electronic Commerce, Vol. 7, No. 1, pp. 135-150.
Schunk, D. H. (1984), “Enhancing Self-Efficacy and Achievement Through Rewards and Goals: Motivational and Informational Effects”, Journal of Educational Research, Vol. 78, No. 1, pp. 29-34.
Scott, J. E. (1994), The measurement of information systems effectiveness:evaluating a measuring instrument. Proceedings of the Fifteenth International Conference on Information System, Vancouver, British Columbia, pp. 111-128.
Shih, H. P. (2006), “Assessing the effects of self-efficacy and competence on individual satisfaction with computer use: an IT student perspective”, Computers in Human Behavior, Vol. 22, No. 6, pp. 1012-1026.
Singh, J. (1991), “Understanding the Structure of Consumers’ Satisfaction Evaluations of Service Delivery”, Journal of the Academy of Marketing Science, Vol. 19, No. 3, pp. 223-244.
Sirvanci, M. B. (1993), “An Empirical Study of Price Thresholds and Price Sensitivity”, Journal of Applied Business Research, Vol. 9, No. 2, pp. 43-49.
Song, J. and Zahedi, F.M. (2001), “Web Design in E-Commerce: A Theory and Empirical Analysis”, Proceedings of the Twenty-second International Conferenceon Information Systems, New Orleans, Louisiana, pp.205-220.
Spence, H. E., Engel, J. F. and Blackwell, R. D. (1970), “Perceived Risk in Mail-Order and Retail Store Buying”, Journal of Marketing Research, Vol. 7, No. 3, pp. 364-369.
Stone, R. N. and Gronhaug, K. (1993), “Perceived Risk: Further Considerations for the Marketing Discipline”, European Journal of Marketing, Vol. 27, No. 3, pp. 39-50.
Szymanski, D. M. and Hise, T. R. (2000), “ e-Satisfaction: An Initial Examination”, Journal of Retailing, Vol. 76, No. 3, pp. 309-322.
Tan, M., and Teo, T. S. H. (2000), “Factors Influencing the Adoption of Internet Banking”, Journal of the AIS(1:5). http://jais.isworld.org/articles/1-5/.
Tan, S. J. (1999),“Strategies for Reducing Consumers’ Risk aversion in internet shopping”, Journal of Marketing, Vol. 16, No. 2, pp. 168-180.
Teo, T. S. H. and Yeong, Y. D. (2003), “Assessing the consumer decision process in the digital marketplace”, Omega, Vol. 31, No. 5, pp. 349-363.
Thong, J. Y. L, Hong, S. J. and Tam, K. Y. (2006), “The effects of post-adoption beliefs on the expectation-confirmation model for information technology continuance”, International Journal of Human-Computer Studies, Vol. 64, No. 9, pp. 799-810.
Tompson, C. J. and Friskes, J. S. (1988), “Programming: Impact on computer literacy traning for teachers”. Journal of Research on Computing in Education, Vol. 20, pp. 367-374.
Van Braak, J. P. (2004), “Domains and determinants of university students’ self-perceived computer competence”, Computers & Education, Vol. 43, No. 3, pp. 299-312.
Van den Poel, D. and Leunis, J. (1999), “Consumer acceptance of the Internet as a channel of distribution”, Journal of Business Research, Vol.45, No.3,
Venkatesh, V. (2000), “Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model”, Information Systems Research, Vol. 11, No. 4, pp. 342-365.
Ver der Heijden, H. (2003), “Factors influencing the usage of websites: the case of a generic portal in The Netherlands”, Information & Management, Vol. 40, No. 6, pp. 541-549.
Vickrey, (1961), “Counter speculation, Auctions and Competitive Sealed Tenders”, Journal of Finance, Vol. 16, No. 1, pp. 8-37.
Walczuch, R., Lemmink, J. and Streukens, S. (2007), “The effect of service employees’ technology readiness on technology acceptance”, Information & Management, Vol. 44, No. 2, pp. 206-215.
Watt, D. H. (1980), “Computer Literacy:What should schools be doing about it? ”, Classroom Computers News ,Vol.1 , No. 2, pp. 26 -27.
Webster, J. and Martocchio, J. J. (1992), “Microcomputer Playfulness: Development of a Measure with Workplace Implications”, MIS Quarterly, Vol. 16, No. 2, pp. 201-226.
Woodside, A. G. (1968), “Social Character, Product Use and Advertising Appeals”, Journal of Advertising Research, Vol. 8, No. 4, pp. 31-35.
Wu, J. H. (2005), “What drives mobile commerce? An empirical evaluation of the revised technology acceptance model”, Information & Management, Vol. 42, No. 5, pp. 719-729.
Yang, S. Y., Park, J. and Park, J. (2007), “Consumers’ channel choice for university-licensed products: Exploring factors of consumer acceptance with social identification”, Journal of Retailing & Consumer Services, Vol. 14, No. 3, pp. 165-174.
Yi, M. Y., Jackson, J. D., Park, J. S. and Probst, J. C. (2006), “Understanding information technology acceptance by individual professionals: Toward an integrative view”, Information & Management, Vol. 43, No. 3, pp. 350-363.
Yoon, C. and Kim, S. (2007), “Convenience and TAM in a ubiquitous computing environment: The case of wireless LAN”, Electronic Commerce Research & Applications, Vol. 6, No. 1, pp. 102-112.
Yu, J., Ha, I., Choi, M. and Rho, J. (2005), “Extending the TAM for a t-commerce”, Information & Management, Vol. 42, No. 7, pp. 965-976.
Xia L. and Monroe K. B. (2004), “Price Partitioning on the Internet”, Journal of Interactive Marketing, Vol. 18, No. 4, pp. 63-73.
Zeithaml V. A. (1988), “Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence”, Journal of Marketing, Vol. 52, No. 3, pp. 2-21.
Zhang, H. and Li, H. (2006), “Factors affecting payment choices in online auctions:A study of eBay traders”, Decision Support Systems, Vol. 42, No. 2, pp. 1076-1088.
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