|
Adams, D. A., Nelson, R. R. & Todd, P. A. (1992). Perceived usefulness, ease of use, and usage of information technology: A replication, MIS Quarterly, 16(2), 227-247. Agarwal, R. & Karahanna, E. (2000). Time flies when you’re having fun: Cognitive absorption and beliefs about information technology usage, MIS Quarterly, 24(4), 665-694. Agarwal, R. & Prasad, J. (1998a). A conceptual and operational definition of personal innovativeness in the domain of information technology, Information Systems Research, 9(2), 204-215. Agarwal, R. & Prasad, J. (1998b). The antecedents and consequents of user perceptions in information technology adoption, Decision Support Systems, 22(1), 15-29. Agarwal, R. & Prasad, J. (1999). Are individual differences germane to the acceptance of new information technologies?, Decision Sciences, 30(2), 361-391. Ajzen, I. & Fishbein, M. (1980). Understanding attitudes and predicting social behavior, Prentice-Hall, Englewood Cliffs, NJ. Ajzen, I. (1985). From intentions to actions: A theory of planned behavior, Action Control: From Cognition to Behavior, Action-Control: From Cognition to Behavior, Heidelberg: Springer, 11-39. Ajzen, I. (1991). The theory of planned behavior, Organizational Behavior and Human Decision Processes, 50(2), 179-211. Aladwani, A. M. (2002). The development of two tools for measuring the easiness and usefulness of transactional web sites, European Journal of Information Systems, 11(3), 223-234. Anderson, E. W. & Sullivan, M. W. (1993). The antecedents and consequences of customer satisfaction for firms, Marketing Science, 12(2), 125-143. Anderson, J. C. & Gerbing, D. W. (1988). Structural equation modeling in practice: A review and recommended two-step approach, Psychological Bulletin, 103(3), 411-423. Arbukle, J. L. & Wothke, W. (1999). Amos 4.0 user’s guide. Chicago: Smallwaters. Armitage, J. A. & Christian, J. (2003). From attitudes to behaviour: basic and applied research on the theory of planned behaviour, Current Psychology: Developmental, Learning, Personality, Social, 22(3), 187-195. Ayanso, A., Diaby, M. & Nair, S. K. (2006). Inventory rationing via drop-shipping in Internet retailing: A sensitivity analysis, European Journal of Operational Research, 171(1), 135-170. Bagozzi, Richard P. (1981). Attitudes, intentions, and behavior: A test of some key hypotheses, Journal of Personality and Social Psychology, 41, 607-627. Bagozzi, Richard P. (1982). A field investigation of causal relations among cognitions, affect, intentions, and behavior, Journal of Marketing Research, 19, 562-584. Bagozzi, Richard P. (1983). A holistic methodology for modeling consumer response to innovation, Operations Research, 31, 128-176. Bailey, J. E. & Pearson, S. W. (1983). Development of a tool for measuring and analyzing computer user satisfaction, Management Science 29(5), 530-545. Bajaj, A. & Nidumolu, S. R. (1998). A feedback model to understand information system usage, Information and Management, 33(4), 213-224. Belkin, N. J., Cool, C., Stein, A. & Thiel, U. (1995). Cases, scripts and information-seeking strategies: On the design of interactive information retrieval systems, Expert Systems with Applications, 9, 379-395. Belkin, N. J., Marchetti, P. G.& Cool, C. (1993). BRAQUE: design of an interface to support user interaction in information retrieval, Information Processing and Management, 29, 325-344. Bem, S. L. (1981). The BSRI and gender schema theory: A reply to Spence and Helmreich, Psychological Review, 88(3), 369-371. Bentler, P. M., & Speckart, G. (1979). Models of attitude-behavior relations, Psychological Review, 86, 452-464. Bernadette, S. (1996). Empirical evaluation of the revised technology acceptance model, Management Science, 42(1), 85-93. Bertsch, T., Busbin, J. & Wright, N. (2002). Gaining competitive advantage in E-tailing through marketing management and value-added uses of technology, Competitiveness Review, 12(2), 49-56. Bhattacherjee, A. (2000). Acceptance of e-Commerce services: The case of electronic brokerages, IEEE Transactions on Systems, 30(4), 411-420. Bhattacherjee, A. (2001a). An empirical analysis of the antecedents of electronic commerce service continuance, Decision Support Systems, 32(2), 201-214. Bhattacherjee, A. (2001b). Understanding information systems continuance: An expectation-confirmation model, MIS Quarterly, 25(3), 351-370. Bhattacherjee, A. (2002). Individual trust in online firms: Scale development and initial trust, Journal of Management Information Systems, 19(1), 213-243. Bobbitt, L. M. & Dabholkar, P.A. (2001). Integrating attitudinal theories to understand and predict use of technology-based self-service, International Journal of Service Industry Management, 12(5), 423-450. Browne, M.W. & Cudeck, R. (1993). Alternative Ways of Assessing Model Fit. In K.A. Bollen & J.S. Long (Eds.), Testing Structural Equation Models, 136-162. Beverley Hills, CA: Sage. Bucklin, R. E. & Sismeiro, C. (2003). A model of Web site browsing behavior estimated on clickstream data, Journal of Marketing Research, 40(3), 249-267. 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. Byrne, B. M. (1998). Structural equation modeling with LISREL, PRELIS, and SMPLIS, Lawrence Erlbaum Associates, NJ. Byrne, B. M. (2001). Structural Equation Modeling with AMOS: Basic Concepts, Applications, and Programming, Lawrence Erlbaum Associates, NJ. Campagnoni, F. R. & Ehrlich, K. (1989). Information retrieval using a hypertext-based help system, ACM Transactions on Information Systems, 7, 271-291. Carmel, E., Crawford, S. & Chen, H. (1992). Browsing in hypertext: A cognitive study, IEEE Transactions on Systems, Man and Cybernetics, 22, 865-883. Chamey, T. R. (1996). Uses and gratifications of the Internet, M. Art thesis, Department of Telecommunication, Michigan State University. Chau, P. Y. K. & Hu, P. J. H. (2001). Information technology acceptance by individual professionals: A model comparison approach, Decision Sciences, 32(4), 699-719. Chau, P. Y. K. & Hu, P. J. H. (2002a). Examining a model of information technology acceptance by individual professionals: An exploratory study, Journal of Management Information Systems, 18(4), 191-229. Chau, P. Y. K. & Hu, P. J. H. (2002b). Investigating healthcare professionals’ decisions to accept telemedicine technology: An empirical test of competing theories, Information and Management, 39(4), 297-311. Chaudhry, A. & Kuilboer, J. P. (2002). e-Business and e-Commerce infrastructure: technologies supporting the e-business initiative, McGraw-Hill, New York. Chen, L. D., Gillension, M. L. & Sherrell, D. L. (2002). Enticing online consumers: An extended technology acceptance perspective, Information and Management, 39(8), 705-719. Chen, S. J. & Chang, T. Z. (2003). A descriptive model of online shopping process: Some empirical results, International Journal of Service Industry Management, 14(5), 556-569. Cheung, W., Chang, M. K., & Lai, V. S. (2000). Prediction of Internet and World Wide Web usage at work: A test of an extended triandis model, Decision Support Systems, 30(1), 83-100. Chiu, Y. B., Lin, C. P. & Tang, L. L. (2005). Gender differs: Assessing a model of online purchase intentions in e-tail service, International Journal of Service Industry Management, 16(5), 416-435. Choudhury, V., Karahanna, E., & Dumm, R. (2001). The relative Advantage of electronic channels: A conceptual and operational definition, Working Paper, University of Cincinnati. Citrin, A.V., Sprott, D.E., Silverman, S.N. & Stem, D.E. Jr. (2000). Adoption of Internet shopping: The role of consumer innovativeness, Industrial Management + Data Systems, 100(7), 294-295. Clayton, R. L. & Werking, G. S. (1998). Business surveys of the future: The World Wide Web as a data collection methodology. In M. P. Cole, D. A., Maxwell, S. E., Arvey, R. & Salas, E. (1993). Multivariate group comparisons of variable systems: MANOVA and structural equation modeling, Psychological Bulletin, 114(1), 174-184. Compeau, D. R. & Higgins, C. A. (1995). Computer self-efficacy: Development of a measure and initial test, MIS Quarterly, 19(2), 189-211. Cooper, W. H. & Richardson, A. J. (1986). Unfair comparisons, Journal of Applied Psychology, 71(2), 179-184. Costa, J.A. (1994). Gender Issues and Consumer Behavior, Sage, London. Davis, F. D. (1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology, MIS Quarterly, 13(3), 319-339. Davis, F. D., Bagozzi, R.P. & Warshaw, P.R. (1989). User acceptance of computer technology: A comparison of two theoretical models, Management Science, 35(8), 982-1003. DeLone, W. H. & McLean, E. R. (1992). Information systems success: The quest for the dependent variable, Information Systems Research, 3(1), 60-95. DeLone, W. H. & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten-year update, Journal of Management Information Systems, 19(4), 9-30. Devaraj, S., Fan, M. & Kohli, R. (2002). Antecedents of B2C channel satisfaction and preference: Validating e-Commerce metrics, Information Systems Research, 13(3), 316-333. Du, T. C., Li, E. Y., & Weic, E. (2005). Mobile agents for a brokering service in the electronic marketplace, Decision Support Systems, 39(3), 371-383. Eagly, A. H. & Chaiken, S. (1993). The Psychology of Attitude, Thomson Wadsworth, Belmont, CA. Eastlick, M. A. & Lotz, S. L. (1999). Profiling potential adopters of an interactive shopping medium, International Journal of Retail and Distribution Management, 27(6/7), 209-223. Emurian H. H. (2006). E-Commerce in China: A personal perspective," Information Resources Management Journal, 19(1), 1-3. Fazio, R.H. & Zanna, M. (1978). Attitudinal Qualities Relating to the Strength of the Attitude Behavior Relationship, Journal of Experimental Social Psychology, 14(4), 398-408. Fischer, E. & Arnold, S. J. (1994). Sex, gender identity, gender role attitudes and consumer behavior, Psychology and Marketing, 11(2), 163-182. Fishbein, M. & Ajzen, I. (1975). Beliefs, attitude, intention, and behavior: An introduction to theory and research, Addison Wesley, Reading, Massachusetts. Fornell, C. & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error, Journal of Marketing Research, 18(1), 39-50. Fornell, C., Tellis, G. & Zinkhan, G. (1982). Validity assessment: A structural equations approach using partial least squares, Proceedings of the American Marketing Association Educator’s Conference, Chicago, 405-409. Gefen, D. & Straub, D. W. (1997). Gender differences in the perception and use of e-mail: An extension to the technology acceptance model, MIS Quarterly, 21(4), 389-400. Gefen, D. & Straub, D. W. (2000). The relative importance of perceived ease-of-use in IS adoption: A study of e-Commerce adoption, Journal of AIS, 1(8), 1-30. Gefen, D. & Straub, D. W. (2003). Managing user trust in B2C e-services, E-Service Journal, 2(2), 7-23. Gefen, D. (2002). Reflections on the dimensions of trust and trust-worthiness among online consumers, DataBase, 33(3), 38-53. Gefen, D., Karahanna, E. & Straub, D. W. (2003a). Inexperience and experience with online stores: The importance of TAM and trust, IEEE Transactions on Engineering Management, 50(3), 307-321. Gefen, D., Karahanna, E. & Straub, D. W. (2003b). Trust and TAM in online shopping: an integrated model, MIS Quarterly, 27(1), 51-90. Gentry, L. & Cantalone, R. (2002). A comparison of three models to explain Shop-Bot use on the Web, Psychology and Marketing, 19(11), 945-955. Gilligan, C. (1982). In a Different Voice: Psychological Theory and Women’s Development, Harvard University Press, Cambridge, MA. Gilroy, F. D. & Desai, H. B. (1986). Computer anxiety: Sex, race and age, International Journal of Man-Machine Studies, 25(6), 711-719. Goldsmith, R. E. & Goldsmith, E. B. (2002). Buying apparel over the Internet, The Journal of Product and Brand Management, 11(2/3), 89-100. Goldsmith, R. E. (2002). Explaining and predicting consumer intention to purchase over the Internet: An exploratory study, Journal of Marketing Theory and Practice, 10(1), 22-28. Goldsmith, R. E., Stith, M. T. & White, J. D. (1987). Race and sex differences in self-identified innovativeness, Journal of Retailing, 63(4), 411-425. Goodhue, D. L. & Thompson, R. L. (1995). Task-technology fit and individual performance, MIS Quarterly, 19(2), 213-236. Goodhue, D. L. (1995). Understanding User Evaluations of Information Systems, Management Science, 41(2), 1827-1844. Gray, R. (2000). E-tail must deliver on Web promises. Marketing, 2, 37-38. Hair, J. F., Anderson, R.E., Tatham R. L. & Black, W. C. (1998). Multivariate Data Analysis (5th edition), Prentice-Hall, Englewood Cliffs, NJ. Harrison, A.W. & Rainer, R.K.Jr. (1992). The influence of individual differences on skill in end-user computing, Journal of Management Information Systems, 9(1), 93-111. Hartwick, J. & Barki, H., (1994). Explaining the role of user participation in information system use, Management Science, 40(4), 440-465. Hatcher, L. (1994). A step-by-step approach to using the SAS system for factor analysis and structural equation modeling, SAS Institute Inc., Cary, NC. Hirschman, E. C. (1980). Innovativeness, novelty seeking, and consumer creativity, Journal of Consumer Research, 7(3), 283-295. Hoffman, D. L. & Novak, T. P. (1996). Marketing in hypermedia computer-mediated environments: Conceptual foundations, Journal of Marketing, 60 (July), 50-68. Hofstede, G. (1980). Culture’s consequences: International differences in work related values, Sage, London. Hofstede, G. (1991). Culture and Organizations, McGraw-Hill, New York. Holbrook, M. B. (1986). Aims, concepts and methods for the representation of individual differences in aesthetic response to design features, Journal of Consumer Research, 13(3), 337-347. Horton, R. P., Buck, T., Waterson, P. E. & Clegg, C. W. (2001). Explaining Intranet use with the technology acceptance model, Journal of Information Technology, 16(4), 237-248. Hostler, R. E., Yoon, V. Y. & Guimaraes, T. (2005). Assessing the impact of internet agent on end users'' performance, Decision Support Systems, 41(1), 313-323. Hoyle, R. (1995). Structural equation modeling: Concepts, issues, and applications, Thousand Oaks, CA: Sage Publications. Hung, S. Y., Liang, T. P. & Chan, C. M. (2005). A Meta-Analysis of Empirical Research Using TAM, Journal of Information Management, 12(4), 211-234, (in Chinese). Igbaria, M. & Chakrabarti, A. (1990). Computer anxiety and attitudes toward microcomputer use, Behaviour and Information Technology, 9(3), 229-241. Igbaria, M. (1990). End-user computing effectiveness: A structural equation model, Omega, 18(6), 637-652 Igbaria, M. (1993). User acceptance of microcomputer technology: An empirical test, Omega, 21(1), 73-90. Igbaria, M., Guimaraes, T. & Davis G. B. (1995) Testing the determinants of microcomputer usage via a structural equation model, Journal of Management Information Systems, 11(4), 87-114. Igbaria, M., Iivari, J. (1995). The effects of self-efficacy on computer usage, Omega, 23 (6), 587-605. Igbaria, M., Parasuraman, S. & Baroudi, J. J. (1996). A motivational model of microcomputer usage, Journal of Management Information Systems, 13(1), 127-143. Igbaria, M., Schiffman, S. J. & Wieckowski, T. J. (1994). The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology, Behaviour and Information Technology, 13(6), 349-361. Ives, B., Olson, M. H. & Baroudi, J. J. (1983). The measurement of user information satisfaction, Comm. ACM, 26(10), 785-793. Janda, S., Trocchia, P.J. & Gwinner, K.P. (2002). Consumer perceptions of Internet retail service quality, International Journal of Service Industry Management, 13(5), 412-431. Janiszewski, C. (1998). The influence of display characteristics on visual exploratory searching behavior, Journal of Consumer Research, 25(December), 290-312. Jedd, M. (2000). Fulfillment: A crucial E-business challenge. Logistics Management and Distribution Report, April, E25-E26. Jiang, J. J., Hsu, M. K., Klein, G. & Lin, B. (2000). E-Commerce user behavior model: An empirical study, Human Systems Management, 19(4), 265-276. Jöreskog, K.G. & Sorbom, D. (1986). LISREL VI: Analysis of linear structural relationships by maximum likelihood, instrumental variables, and least squares methods, 4th ed., Scientific Software, Mooresville, IN. Karahanna, E., Straub, D. W. & Chervany, N. L. (1999). Information technology adoption across time: A cross-sectional comparison of pre-adoption and post-adoption beliefs, MIS Quarterly, 23(2), 183-213. Kaufman-Scarborough, C. & Lindquist, J. D. (2002). E-shopping in a multiple channel environment, The Journal of Consumer Marketing, 19(4/5), 333-350. Keil, M., Beranek, P. M. & Konsynski, B. R. (1995). Usefulness and ease of use: Field study evidence regarding task considerations, Decision Support Systems, 13(1), 75-91. Kelley, H. H. (1979). Personal relationships: Their structure and processes, Lawrence Erlbaum Associates, Mahwah, NJ. Kelley, H. H., Thibaut, J. W. (1978). Interpersonal relations: A theory of interdependence, Wiley, New York. Kim, Y. M. & Shim, K. Y. (2002). The influence of Internet shopping mall characteristics and user traits on purchase intent, Irish Marketing Review, 15(2), 25-34. Klobas, J. E. & Clyde, L. A. (2000). Adults learning to use the internet: A longitudinal study of attitudes and other factors associated with intended internet use, Library and Information Science Research, 22(1), 5-34. Koprowski, G. (2000). Computer-telephone integration aids customer service: Upgraded infrastructure helps companies improve response times, Informationweek, 792(26), 190-194. Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior, Information Systems Research, 13(2), 205-223. Kraus, S. J. (1995). Attitudes and the prediction of behavior: A meta-analysis of the empirical literature, Personality and Social Psychology Bulletin, 21, 58-75. Lederer, A. L., Maupin, D. J., Sena, M. P. & Zhuang, Y. (2000). The technology acceptance model and the World Wide Web, Decision Support Systems, 29(3) 269-282. Leonard-Barton, D. & Deschamps, I.. (1988). Managerial influence in the implementation of new technology, Management Science, 34(10), 1252-1265. Levy, R. & Nilson, S. (1999). Who''s minding the online shop?, Target Marketing, 22(10), 192-195. Li, E. Y. & Zhao, X. (2003). From p-services to e-services, International Journal of Service Industry Management, 14(5), 480-482. Liang, T. P. & Huang, J. S. (1998). An empirical study on consumer acceptance of products in electronic markets: A transaction cost mode, Decision Support Systems, 24(1), 29-43. Liaw, S. S. (2002). Understanding user perceptions of World Wide Web environments, Journal of Computer Assisted Learning, 18(2), 137-148. Liker, J. K. & Sindi, A. A. (1997). User acceptance of expert systems: A test of the theory of reasoned action, Journal of Engineering and Technology Management, 14(2), 147-173. Lin, C. C. & Lu, H. (2000). Towards an understanding of the behavioral Intention to use a web site, International Journal of Information Management, 20(3), 197-208. Lin, C. P. & Ding C. G. (2005). Opening the black box: Assessing the mediating mechanism of relationship quality and the moderating effects of prior experience in ISP service, International Journal of Service Industry Management, 16(1), 55-80. Liu, C. & Arnett, K. P. (2000). Exploring the factors associated with web site success in the context of electronic commerce, Information and Management, 38(1), 23-33. Lohse, G. L. & Spiller, P. (1998). Electronic shopping, Communications of the ACM, 41(7), 81-87. Lu, H. & Lin, J. C. (2002). Predicting consumer behavior in the market-space: A study of Rayport and Sviokla’s framework, Information and Management, 40(1), 1-10. Ma, Q. & Liu, L. (2004). The technology acceptance model: A meta-analysis of empirical findings, Journal of Organizational and End User Computing, 16(1), 59-72. Mahmood, M. A., Bagchi, K.. & Ford, T. C. (2004). Online shopping behavior: A. cross- country empirical research, International Journal of Electronic Commerce, 9(1), 9-30. Marchionini, G. (1989). Information-seeking strategies of novices using a full-text electronic encyclopedia, Journal of the American Society for Information Science, 40(1), 54-66. Mathieson, K. (1991). Predicting user intentions: comparing the technology acceptance model with the theory of planned behavior, Information Systems Research, 2(2), 173-191. McCloskey, D. (2004). Evaluating electronic commerce acceptance with the technology acceptance, Journal of Computer Information Systems, 44(2), 49-57. 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. Melone, N. (1990). A theoretical assessment of the user-satisfaction construct in information system research, Management Science, 36(1), 76-91. Meyers-Levy, J. & Sternthal, B. (1991). Gender differences in the use of message cues and judgments, Journal of Marketing Research, 28(1), 84-96. Meyers-Levy, J. (1988). The influence of sex roles on judgment, Journal of Consumer Research, 14(4), 522-530. Meyers-Levy, J. (1989). Priming effects on product judgments: a hemispheric interpretation, Journal of Consumer Research, 16(1), 76-86. Moe, W. W. & Fader, P. S. (2001). Uncovering patterns in cybershopping, California Management Review, 43(4), 106-119. Moe, W. W. & Fader, P. S. (2004). Dynamic conversion behavior at E-commerce sites, Management Science, 50(3), 326-335. Moe, W. W. (2003). Buying, searching, or browsing: differentiating between online shoppers using in-Store naviga-tional clickstream, Journal of Consumer Psychology, 13(1–2), 29-39. Monsuwé, T. P., Dellaert, B. G. C., & Ruyter, Ko de. (2004). What drives consumers to shop online? A literature review, International Journal of Service Industry Management, 15(1), 102-121. Moon, J. W. & Kim, Y.G. (2001). Extending the TAM for a World-Wide-Wed context, Information and Management, 38(4), 217-230. Moutinho, L. & Goode, M. (1995). Gender effects to the formation of overall product satisfaction: A multivariate approach, Journal of International Consumer Marketing, 8(1), 71-91. Nelson, D. L. (1990). Individual adjustment to information-driven technologies: A critical review, MIS Quarterly, 14(1), 78-98. Nelson, R. R. & Cheney, P. H. (1997). Training end users: An exploratory study. MIS Quarterly, 11(4), 547-559. Nunally, C. (1967). Psychometric Theory, McGraw-Hill, New York. O’Cass, A. & Fenech, T. (2003). Web retailing adoption: Exploring the nature of Internet users web retailing behaviour, Journal of Retailing and Consumer Services, 10(2), 81-94. Olson, J. S. & Olson, G. M. (2000). i2i trust in e-commerce, Communications of the ACM, 43(12), 41-44. Oumil, A.B. & Erdem, O. (1997). Self-concept by gender: A focus on male-female consumers, Journal of Marketing Theory and Practice, 5(1), 7-14. Palmer, A. & Bejou, D. (1995). The effects of gender on the development of relationships between clients and financial advisers, The International Journal of Bank Marketing, 13(3), 18-27. Pavlou, P. A. & Fygenson, M. (2006). Understanding and predicting electronic commerce adoption: An extension of the theory of planned behavior, MIS Quarterly, 30(1), 115-143. 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), 69-103. Rada, R. & Murphy, C. (1992). Searching versus browsing in hypertext, Hypermedia, 4(1), 1-30. Regan, D.T. & Fazio, M. (1977). On the Consistency Between Attitudes and Behavior: Look to the Method of Attitude Formation, Journal of Experimental Social Psychology, 13(1), 28-45. Rierdan, J., Koff, E. & Heller, H. (1982). Gender, anxiety, and human figure drawings, Journal of Personality Assessment, 46(6), 594-596. Roberts, P. & Henderson, R. (2000). Information technology acceptance in sample of government employees: A test of the technology acceptance model, Interacting with Computers, 12(5), 427-443. Rose, G. M. & Curran, J. M. (2005). On-line waiting: The role of download time and other important predictors on attitude toward e-retailers, Psychology & Marketing, 22(2), 127-151. Rowley, J. (2002). ‘Window’ shopping and browsing opportunities in cyberspace, Journal of Consumer Behaviour, 1(4), 369-378. Salisbury, W. D., Pearson, R. A., Pearson, A. W. & Miller, D. W. (2001). Perceived security and world wide web purchase intention, Industrial Management + Data Systems, 101(3/4), 165-176. Schlosser, A. E. (2003). Experiencing products in the virtual world: The role o goal and imagery in influencing attitudes versus purchase intentions, Journal of Consumer Research, 30(2), 184-198. Schlosser, A. E., White, T. B. & Lloyd, S. M. (2006). Converting Web site visitors into buyers: How Web site investment increases consumer trusting beliefs and online purchase intentions, Journal of Marketing, 70(2), 133-148. Schneider, G. P. (2006). Electronic commerce, Sixth Annual Edition, Course Technology. Schwarz, A., Junglas, I. A., Krotov, V. & Chin, W. W. (2004). Exploring the role of experience and compatibility in using mobile technologies, Information systems and eBusiness management, 2(4), 337-356. Sheppard, B. H., Hartwick, J. & Waeshaw, P. R. (1988). The theory of reasoned action: A meta-analysis of past research with recommendations for modifications and future research, Journal of Consumer Research, 15(3), 325-343. Shih, H. P. (2004a). An empirical study on predicting user acceptance of e-shopping on the Web, Information and Management, 41(3), 351-368. Shih, H. P. (2004b). Extended technology acceptance model of Internet utilization behavior, Information and Management, 41(6), 719-729. Shim, S., Eastlick, M. A., Lotz, S. L. & Warrington, P. (2001). An online prepurchase intentions model: the role of intention to search, Journal of Retailing, 77(3), 397-416. Shimp, T. & Kavas A. (1984). The theory of reasoned action applied to coupon usage, Journal of Consumer Research, 11, 795-809. Singh, J. (1995). Measurement issues in cross-national research, Journal of International Business Studies, 26(3), 597-619. Stanyer, D. & Procter, R. (1999). Improving Web usability with link lens, Computer Networks, 31, 1533-1544. Straits Times (1996). Finding out who surfs the Internet is their business, Straits Times, November 12. Straub, D. W., Keil, M., & Brenner, W. (1997). Testing the technology acceptance model across cultures: A three country study, Information and Management, 33(1), 1-11. Suh, B. & Han, I. (2003a). The impact of customer trust and perception of security control on the acceptance of electronic commerce, International Journal of Electronic Commerce, 7(3), 135-161. Suh, B. & Han, I. (2003b). Effect of trust on customer acceptance of Internet banking, Electronic Commerce Research and Applications, 1(2), 247-263. Susarla, A., Barua, A. & Whinston, A. B. (2003). Understanding the service component of application service provision: an empirical analysis of satisfaction with ASP services, MIS Quarterly, 27(1), 91-124. Szajna, B. (1996). Empirical evaluation of the revised technology acceptance model, Management Science, 42(1), 85-92. Szymanski, D. M. & Hise, R. T. (2000). E-satisfaction: An initial examination, Journal of Retailing, 76(3), 309-322. Tang, T. W. (2005). The technology acceptance model analysis of customer online browsing behavior and online purchasing behavior, Unpublished Doctoral Dissertation, Department of Business Administration, National Dong-Hwa University. Tauscher, L. & Greenberg, S. (1997). How people revisit Web pages: Empirical findings and implications for the design of history systems, International Journal of Human Computer Studies, Special issue on World Wide Web Usability, 47(1), 97-138. Taylor, S. & Todd, P. A. (1995a). Understanding information technology usage: A test of competing models, Information Systems Research, 6(2), 144-177. Taylor, S. & Todd, P. A. (1995b). Decomposition of cross effects in the theory of planned behavior: A study of consumer adoption intentions, International Journal of Research in Marketing, 12(2), 137-155. Taylor, S. & Todd, P. A. (1995c). Assessing IT usage: the role of prior experience, MIS Quarterly, 19(4), 561-570. Teo, T. S. H. (2001). Demographic and motivation variables associated with Internet usage activities, Internet Research, 11(2), 125-137. Thompson, R. L., Higgins, C. A. & Howell, J. M. (1991). Personal computing: Toward a conceptual model of utilization, MIS Quarterly, 15(1), 125-143. Thompson, R. L., Higgins, C. A. & Howell, J. M. (1994). Influence of experience on personal computer utilization: Testing a conceptual model. Journal of Management Information Systems, 11(1), 167-187. Toms, E. G. (2000). Understanding and facilitating the browsing of electronic text, International Journal of Human Computer Studies, 52, 423-452. van der Heijden, H. (2003). Factors influencing the usage of websites: The case of a generic portal in the Netherlands, Information and Management, 40(6), 541-549. Van Riel, C. R., Liljander, V. & Jurriëns, P. (2001). Exploring consumer evaluations of e-services: A portal site, International Journal of Service Industry Management, 12(3/4), 359-377. Vehovar, V., Manfreda, K. L. & Batagelj, Z. (2001). Sensitivity of electronic commerce measurement to the survey instrument, International Journal of Electronic Commerce, 6(1), 31-51. Venkatesh, V. & Davis, F. D. (1996). A model of the antecedents of perceived ease of use: development and test, Decision Science, 27(3), 451-479. Venkatesh, V. & Davis, F. D. (2000). A theoretical extension of the technology acceptance model: Four longitudinal field studies, Management Science, 46(2), 186-204. 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, 24(1), 115-139. Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating control, intrinsic motivation, and emotion into the technology acceptance model, Information Systems Research, 11(4), 342-365. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View, MIS Quarterly, 27(3), 425-478. Waterworth, J. A. & Chignell, M. H. (1991). A model for information exploration, Hypermedia, 3, 35-58. Weber, K. & Roehl, W. S. (1999). Profiling people searching for and purchasing travel products on the world wide web, Journal of Travel Research, 37, 291-298. Wixom, B. H., & Todd, P. A. (2005). A theoretical integration of user satisfaction and technology acceptance, Information Systems Research, 16(1), 85-102. Wu, I.-L. & Chen J.-L. (2005). An extension of Trust and TAM model with TPB in the initial adoption of-line tax: An empirical study, International Journal of Human-Computer Studies, 62, 784-808. Yang, Z. & Jun, M. (2002). Consumer perception of e-service quality: from Internet purchaser and non-purchaser perspectives, Journal of Business Strategies, 19(1), 19-41. Yong, A. & Yang, Y. (2003). Fostering e-commerce among Australian SMEs, IT Professional, 5(5), 21-24. Zhao, H. & Cao, Y. (2004). The role of E-tailer inventory policy on E-tailer pricing and profitability, Journal of Retailing, 80(3), 207-219. Zhuang Y. & Lederer, A. L. (2003). An instrument for measuring the business benefits of e-Commerce retailing, International Journal of Electronic Commerce, 7(3), 65-99.
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