References
Adams, D. A., Nelson, R. R., & Todd, P. A. (1992). Perceived usefulness, ease of use, andusage 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, 418–430Ajzen, 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,
709-724Fenech, 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),
57-63Hoffman, 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), 130-142Koufaris, 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, 118-182Levy, J. (1983). Play behavior. Malabar, FL: Roert E.
KriegerLieberman, 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, 23-33Lu, 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.