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, 665–694.
Agarwal, R., Sambamurthy, V., & Stair, R.M. (2000). Research report: The evolving relationship between general and specific computer self-efficacy—An empirical assessment. Information Systems Research, 11, 418–430
Ajzen, I. (1991). The theory of planned behavior. Special Issue: Theories of Cognitive Self-Regulation, Organizational Behavior and Human Decision Processes, 50(2), 179-211.
Al-Gahtani, S. S., & King, M. (1999). Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology. Behaviour and Information Technology, 18(4), 277-297.
Amabile, T.M. (1988). A model of creativity and innovations in organizations. In B. M. Staw & L. L. Cummings (Eds.), Research in Organizational Behaviour, 10, 123-167. Greenwich, CT: JAI Press.
Atkinson, M., & Kydd, C. (1997). Individual characteristics associated with World Wide Web use: An empirical study of playfulness and motivation. The Data Base for Advances in Information Systems, 28(2), 53-62.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84(2), 191-215.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37, 122-147.
Barki, H., & Hartwich, J. (1989). Rethinking the concept of user involvement. MIS Quarterly, 13(1), 53-63.
Baty, J. B., & Lee, R. M. (1995). Intershop: Enhancing the vendor/customer dialectic in electronic shopping. Journal of Management Information Systems, 11(4), 9-31.
Bellman, S., Lohse, G. L., & Johnson, E. J. (1999). Predictors of online buying behaviour. Communications of the ACM, 42(12), 32-38.
Berkowitz, L. (1993). Towards a general theory of anger and emotional aggression: Implications of the cognitive-neoassociationistic perspective for the analysis of anger and other emotions. In R. S. Wyer & Th. K. Srull (Eds.), Advances in social cognition, 6, Hillsdale, NJ: Erlbaum, 1-46.
Berthon, P., Pitt, L. F., & Watson, R. T. (1996). The World Wide Web as an advertising medium: Toward an understanding of conversion efficiency. Journal of Advertising Research, 36(1), 43-53.
Bloch, P., Sherrell, D. L., & Ridgway, N. M. (1986). Consumer search: An extended framework. Journal of Consumer Research, 13, 119-126.
Celsi, R. L., & Olson, J. C. (1988, September). The role of involvement in attention and comprehension processes. Journal of Consumer Research, 5, 210-224.
Chan, C., & Swatman, P. M. C. (2000). From EDI to Internet commerce: The BHL steel experiences. Internet Research: Electronic Networking Applications and Policy, 10(1), 72-82.
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (1996). A partial least squares latent variable modeling approach for measuring interaction effects: Results from a Monte Carlo simulation study and voice mail emotion/adoption study. In Proceedings of the 17th International Conference of Information Systems, Cleveland, OH.
Csikszentmihalyi, M. (1975). Beyond boredom and anxiety. San Francisco, CA: Jossey-Bass.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
Csikszentmihalyi, M. (1996). Creativity: Flow and the psychology of discovery and invention. New York: Harper Collins Publishers.
Csikszentmihalyi, M., & Csikszentmihalyi, I. S. (1988). Optimal experience: Psychological studies of flow in consciousness. Cambridge: Cambridge University Press.
Davis, F. D. (1989). Perceived usefulness, perceived ease of use and user acceptance of information. MIS Quarterly, 13, 319-342.
Davis, F. D., Bagozzi, R. P., & Warsaw, P. R. (1989). User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8), 983-1003.
Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1992). Extrinsic and intrinsic motivation to use computers in the workplace. Journal of Applied Social Psychology, 22(14), 1111-1132.
Eid, R., & Trueman, M. (2002). The adoption of the Internet for b-to-b international marketing: A theoretical model. Working Paper (02/10). Bradford University School of Management.
Elliot, S., & Fowell, S. (2000). Expectations versus reality: A snapshot of consumer experiences with Internet retailing. International Journal of Information Management, 20, 323-336.
Epstein, S. (1994). Integration of the cognitive and the psychodynamic unconscious. American Psychologist, 49, 709-724
Fenech, T. (1998). Using perceived ease of use and perceived usefulness to predict acceptance of the World Wide Web. Computer Networks & ISDN Systems, 30, 629-630.
Finneran, C., & Zhang, P. (2002). The challenges of studying flow within a computermediated environment. Proceedings of the Americas Conference on Information Systems. Dallas, TX, 1047-1054.
Fishbein, M., & Ajzen, I. (1976). Belief, attitude, intention, and behavior: An introduction to theory and research. Reading, MA: Addison-Wesley.
Gardner, E. P., Young, P., & Ruth, S. R. (1989). Evolution of attitudes toward computers: A retrospective view. Behaviour and Information Technology, 8, 89-98.
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.
Ghani, J. A. (1991). Flow in human-computer interactions: Test of a model. In J. Carey (Ed.), Factors in management information systems: An organizational perspective. Norwood, NJ: Ablex.
Ghani, J. A., & Deshpande, S. P. (1994). Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 128(4), 383-391.
Ghani, J. A., Supnick, R., & Rooney, P. (1991). The experience of flow in computermediated and in face-to-face groups. In J. I. DeGross, I. Benbasat, G. DeSanctis, & C. M. Beath (Eds.), Proceedings of the 12th. International Conference on Information Systems, New York, December, 16-18.
Ginzberg, M. J. (1978). Steps towards more effective implementation of MS and MIS. Interfaces, 8(3), 57-63
Hoffman, D.L., & Novak, T. P. (1996a). A new marketing paradigm for electronic commerce. Project 2000 in Project 2000: Owen Graduate School of Management. Vanderbilt University.
Hoffman, D.L., & Novak, T. P. (1996b, July). Marketing in hypermedia computer-mediated environments: Conceptual foundations. Journal of Marketing, 60, 50-68.
Houston, M. J., & Rothschild, M. L. (1978). Conceptual and methodological perspectives in involvement. In S. Jain (Ed.), Research frontiers in marketing: Dialogues and directions, Chicago. American Marketing Association, 184-187.
Hu, P. J., Chau, P. Y. K., Sheng, O. R. L., & Tam, K. Y. (1999). Examining the technology acceptance model using physician acceptance of telemedicine technology. Journal of Management Information Systems, 16(2), 91-112.
Hubona, G.S., & Geitz, S. (1997). External variables, beliefs, attitudes and information technology usage behaviour. In Proceedings of the 30th Annual Hawaii International Conference of System Sciences.
Hwang, Y., & Yi, Y. (2002) Predicting the use of Web-based IS: Intrinsic motivation and self-efficacy. In Proceedings of the 8th. Americas Conference on Information Systems (AMCIS 2002), Dallas, Texas, USA, August.
Igbaria, M., Iivari, J., & Maragahh, H. (1995). Why do individuals use computer technology? Information and Management, 5, 227-238.
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, 349-361.
Johnson, E. J., Bellman, S., & Lohse, G. L. (2003, April). Cognitive lock-in and the power law of practice. Journal of Marketing, 67, 62-75.
Johnson, R. A., & Hignite, M. A. (2000). Applying the technology acceptance model to the WWW. Academy of Information and Management Sciences Journal, 3(2), 130-142
Koufaris, M. (2002). Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2), 205-223.
Koufaris, M., Kambil, A., & LaBarbera, P. A. (2001-2002). Consumer behaviour in Webbased commerce: An empirical study. International Journal of Electronic Commerce, 6(2), 115-138.
Kraut, R., Lundmark, V., Patterson, M., Kiesler, S., Mukopadhyay, T., & Scherlis, W. (1998). Internet paradox: A social technology that reduces social involvement and psychological well-being? American Psychologist, 53(9), 1017-31.
Legris, P., Ingham, J., & Collerette, P (2003). Why do people use information technology? A critical review of the technology acceptance model. Information & Management, 40(3), 191-204.
Leventhal, H. (1984). A perceptual-motor theory of emotion. In L. Berkowitz (Ed.), Advances in Experimental Social Psychology, 17, Orlando, FL: Academic Press, 118-182
Levy, J. (1983). Play behavior. Malabar, FL: Roert E. Krieger
Lieberman, J. N. (1977). Playfulness. New York: Academic Press.
Lim, K. (2002). Security and motivational factors of e-shopping Web site usage. Decision Sciences Institute, 2002 Annual Meeting Proceedings.
Lin, C. C., & Lu, H. (2000). Towards an understanding of the behavioural intention to use a Web site. International Journal of Information Management, 20, 197-208.
Liu, C., & Arnett, K. P. (2000). Exploring the factors associated with Web site success in the context of electronic commerce. Information and Management, 38, 23-33
Lu, H.P., & Gustafson, D.H. (1994). An empirical study of perceived usefulness and perceived ease of use on computerized support system use over time. International Journal of Information Management, 14(5), 317-329.
Lucas, H.C., & Spitler, V. K. (1999). Technology use and performance: A field study of broker workstations. Decision Sciences, 30(2), 291-311.
Malone, T.W. (1981). Toward a theory of intrinsically motivating instructions. Cognitive Science, 4, 333-69.
Massimini, F., & Carli, M. (1988). The systematic assessment of flow in daily experience. In M. Csikszentmihalyi, & I. Csikszentmihalyi (Eds.), Optimal experience: Psychological studies of flow in consciousness, 288-306. New York: Cambridge University Press.
McGrath, J. E., & Kelly, J. R. (1986). Time and human interaction. New York, Guilford.
Moon, J., & Kim, Y. (2001). Extending the TAM for a World-Wide-Web context. Information & Management, 38, 217-230.
Novak T. P., Hoffman, D. L., & Yung, Y. (2000). Measuring the customer experience in online environments: A structural modeling approach. Marketing Science, 19(1), 22-42.
Parasuraman, A., & Zinkhan, G. M. (2002). Marketing to and serving customers through the Internet: An overview and research agenda. Journal of the Academy of Marketing Science, 30(4), 286-295.
Park, C. W., & Young, S. M (1986, February). Consumer response to television commercials: The impact of involvement and background music on brand attitude formation. Journal of Marketing Research, 22, 11-24.
Petty, R. E., Cacioppo, J. T., & Goldman, R. (1981). Personal involvement as a determinant of argument based prescription. Journal of Personality and Social Psychology, 37, 1915-1926.
Pine, II, J., & Gilmore, J. (1998, July-August). Welcome to the experience economy. Harvard Business Review, 97-105.
Raman, N. V., & Leckenby, J. D. (1998). Factors affecting consumers’ Webad visits. European Journal of Marketing, 32(7/8), 737-748.
Richins, M. L., Bloch, P. H., & McQuarrie, E. F. (1992). How enduring and situational involvement combine to create involvement responses. Journal of Consumer Psychology, 1(2), 143-153.
Sánchez-Franco, M. J. (2003). Understanding Web usage via a theoretical flow model. Unpublished Manuscript. University of Seville (Spain).
Sánchez-Franco, M. J., & Rodríguez-Bobada Rey, J. (2004). Personal factors affecting users’ Web session lengths. Internet Research, 14 (1), 62-80.
Sandelands, L. E., Ashford, S. J., & Dutton, J. E. (1983). Reconceptualizing the over justification effect: A template-matching approach. Motivation and Emotion, 7, 229-255.
Sandelands, L. E., & Buckner, G. C. (1989). Of art and work: Aesthetic experience and the psychology of work feelings. In L.L. Cummings & B.M. Staw (Eds.), Research in organizational behavior. Greenwich, CT: JAI Press.
Seddon, P.B. (1997). A respecification and extension of the DeLone and McLean model of IS success. Information Systems Research, 8(3), 240-253.
Singh, S. N., & Nikunj P. D. (1999). Web home pages as advertisements. Communications of the ACM, 42(8), 91-98.
Starbuck, W. J., & Webster, J. (1991). When is play productive? Accounting, Management, and Information Technology, 1, 71-90.
Steuer, J. (1992, Fall). Defining virtual reality: Dimensions determining telepresence. Journal of Communication, 42, 73-93.
Taylor, S., & Todd, P. A. (1995). Understanding information technology usage: A test of competing models. Information Systems Research, 6(2), 144-176.
Teo, T. S. H., Lim, V. K. G., & Lai, R. Y. C. (1999). Intrinsic and extrinsic motivation in Internet usage. OMEGA International Journal of Management Science, 27, 25-37.
Thompson, R.L., Higgins, C. A., & Howell, J. M. (1991). Towards a conceptual model of utilization. MIS Quarterly, 15(1), 125-143.
Trevino, L. K., & Webster, J. (1992). Flow in computer-mediated communication. Communication Research, 19(5), 539-573.
Venkatesh, V. (1999). Creation of favorable user perceptions: Exploring the role of intrinsic motivation. Management Information Systems Quarterly, 23(2), 239-260.
Venkatesh, V. (2000). Determinants of perceived ease of use: Integrating perceived behavioural control, computer anxiety and enjoyment into the technology acceptance model. Information Systems Research, 11, 342–365.
Venkatesh, V., & Davis, F.D. (1996). A model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 27(3), 451-481.
Venkatesh, V., & Davis, F. D. (2000). Theoretical extension of the technology acceptance model: Four longitudinal field studies. Management Science, 46(2), 186-204.
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.
Wang, Y., Tang, T., & Tang, J. (2001). An instrument for measuring customer satisfaction toward Web sites that market digital products and services. Journal of Electronic Commerce Research, 2(3).
Webster, J., & Martocchio, J. J. (1992). Microcomputer playfulness: Development of a measure with workplace implications. MIS Quarterly, 16, 201-226.
Webster, L., Trevino, K., & Ryan, L. (1993). The dimensionality and correlates of flow in human computer interactions. Computer Human Behaviour, 9(4), 411-426.
Wexler, J. (2001). Why computer users accept new systems. Sloan Management Review, 42(3), 17.
Yi, M. Y., & Hwang, J. (2003). Predicting the use of Web-based information systems: Self-efficacy, enjoyment, learning goal orientation, and the technology acceptance model. International Journal of Human-Computer Studies, forthcoming.
Zaichkowsky, J. (1986). Conceptualizing involvement. Journal of Advertising, 15(2), 4-14.
Zajonc, R. B. (1980, February). Feeling and thinking: Preferences need no inferences. American Psychologist, 35, 151-175.
Zinkhan, G., & Muderrisoglu, A. (1985). Involvement, familiarity, cognitive differentiation and advertising recall: A test of convergent and discriminant validity. Advances in Consumer Research, 12, 356-361.