skip to main content
article

The future of diffusion research

Published:01 July 2001Publication History
First page image

References

  1. Ajzen, I. (1991). "The Theory of Planned Behavior," Organizational Behavior and Human Decision Processes, Vol. 50, pp. 179-211.Google ScholarGoogle ScholarCross RefCross Ref
  2. Ajzen, I., and Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior, Englewood Cliffs, NJ: Prentice-Hall.Google ScholarGoogle Scholar
  3. Ajzen I., and Madden T. J. (1986). "Prediction of Goal Directed Behaviour: Attitudes, Attitudes, and Perceived Behavioral Control," Journal of Experimental Social Psychology, Vol. 22, pp. 453-474.Google ScholarGoogle ScholarCross RefCross Ref
  4. Chin, W. W., and Gopal, A. (1995). "Adoption Intention in GSS: Relative Importance of Beliefs," DATA BASE for Advances in Information Systems, Vol. 26, Nos. 2 & 3, pp. 42-64. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Compeau, D. (1999). "Social Cognitive Theory and Individual Reactions to Computing Technology: A Longitudinal Study," MIS Quarterly, Vol. 23, No. 2, pp. 145-158. Google ScholarGoogle ScholarDigital LibraryDigital Library
  6. Cooper, R. B., and Zmud, R. W. (1989). "Material Requirements Planning system Infusion." OMEGA, International Journal of Management Science, Vol. 17, No. 5, pp. 471-481.Google ScholarGoogle ScholarCross RefCross Ref
  7. Cooper, R. B., and Zmud, R. W. (1990). "Information Technology Implementation Research: A Technological Diffsusion Approach." Management Science, Vol. 36, No. 2, pp. 123-139. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Davis, F. D., Bagozzi, R. P. and Warshaw, P. R. (1989) "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, Vol. 35, No. 8, pp. 982-1003. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. DeLone, W., and McLean, E. (1992). "Information Systems Success: The Quest for the Dependent Variable," Information Systems Research, Vol. 3, No. 1, pp. 60-95.Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Fichman, R. G. (2000). "The Diffusion and Assimilation of Information Technology Innovations." in Zmud, R. W. (Ed.) Framing the Domains of IT Management, Projecting the Future… Through the Past, Cincinnati, OH: Pinnaflex Education Resources, Inc., pp. 105-127.Google ScholarGoogle Scholar
  11. Fishbein, M., and Ajzen, I. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research, Reading, MA: Addision-Wesley.Google ScholarGoogle Scholar
  12. Goodhue, D. L., and Thompson, R. L. (1995). "Task-Technology Fit and Individual Performance." MIS Quarterly, Vol. 19, No. 2, pp. 213-236. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Munro, M., Huff, S., Marcolin, B., and Compeau, D. (1997). "Understanding and Measuring User Competence," Information and Management, Vol. 33, No. 1, pp. 45-57. Google ScholarGoogle ScholarDigital LibraryDigital Library
  14. Limayem, M., Hirt, S. G., and Chin, W. W. (2001). "Intention Does Not Always Matter: The Contingent Role Of Habit On IT Usage Behavior," The 9th European Conference on Information Systems, June 27-29, 2001, Bled, Slovenia.Google ScholarGoogle Scholar
  15. Limayem, M., Khalifa, M., and Chin, W. W. (1999). "Factors Motivating Software Piracy: A Longitudinal Study," in De, P. and DeGross, J. I. (Eds.), Proceedings of the Twentieth International Conference on Information Systems, pp. 124-131. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Mathieson, K. (1991). "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, Vol. 2, No. 3, pp. 173-191.Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Moore, G. C., and Benbasat, I. (1991). "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, Vol. 2, No. 3, pp. 192-222.Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Moore, G. C., and Benbasat, I. (1996). "Integrating Diffusion of Innovations and Theory of Reasoned Action Models to Predict Utilization of Information Technology by End-Users," in Kautz, K., and Pries-Heje, J. (Eds.), Diffusion and Adoption of Information Technology, London: Chapman and Hall, pp. 132-146.Google ScholarGoogle Scholar
  19. Prescott, M. B. (1995). "Diffusion of Innovation Theory: Borrowings, Extensions, and Modification from IT Researchers," The Data Base for Advances in Information Systems, Vol 26, Nos. 2 & 3, pp. 16-19. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Rogers, E. M. (1983). Diffusion of Innovations, (Third Edition), New York: The Free Press.Google ScholarGoogle Scholar
  21. Rogers, E. M. (1995). Diffusion of Innovations, (Fourth Edition), New York: The Free Press.Google ScholarGoogle Scholar
  22. Taylor, S., and Todd, P. A. (1995). "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, Vol. 6, No. 2, pp. 144-176.Google ScholarGoogle ScholarDigital LibraryDigital Library

Recommendations

Comments

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Sign in

Full Access

  • Published in

    cover image ACM SIGMIS Database: the DATABASE for Advances in Information Systems
    ACM SIGMIS Database: the DATABASE for Advances in Information Systems  Volume 32, Issue 3
    Special issue on adoption, diffusion, and infusion of IT
    Summer 2001
    103 pages
    ISSN:0095-0033
    EISSN:1532-0936
    DOI:10.1145/506724
    Issue’s Table of Contents

    Copyright © 2001 Authors

    Publisher

    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 1 July 2001

    Check for updates

    Qualifiers

    • article

PDF Format

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader