PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL

Seppo Pahnila

2004

Abstract

This paper describes ongoing research, which focuses on the effect of attitudes and intentions in the use of personalized Web Information Systems (WIS). By applying the widely used Technology Acceptance Model (TAM), the theory of planned behavior, innovation diffusion theory and self-efficacy theory, we take an extended view of the factors explaining the individual acceptance and usage of newly emerging personalized Web Information Systems. Many features of personalized WIS differ from the “traditional” information systems, and we believe that this research will shed new light on the research into the acceptance of personalized WIS.

References

  1. Ajzen I (1991) The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes 50(2): 179-211.
  2. Bandura A (1977) Self-Efficacy: Toward a Unifying Theory of Behaviour Change. Psychological Review 84(2): 191-215.
  3. Bandura A (1982) Self-Efficacy Mechanism in Human Agency. American Psychologist 37(2): 122-147.
  4. Bandura A (1986) Social Foundations of Thought and Action. A Social Cognitive Theory. New Jersey, Prentice Hall. Englewood Cliffs.
  5. Baronas A & Louis M (1988) Restoring a Sense of Control During Implementation: How User Involvement Leads to System Acceptance. MIS Quarterly 12(1): 111-124.
  6. Billsus D, Brunk CA, Evans C, Gladish B & Pazzani M (2002) Adaptive Interfaces for Ubiquitous Web Access. Communication of ACM 45(5): 34-38.
  7. Boudreau M-C, Gefen D, Straub DW (2001) Validation in Information Systems Research: A State-of-the-Art Assessment. MIS Quarterly 25(1): 1-16.
  8. Brusilovsky P (1996a) Adaptive hypermedia: An Attemp to Analyze and Generalize. In Multimedia, Hypermedia and Virtual Reality, Lecture Notes in Computer Science 1077, Eds. Brusilovsky, P., Kommers, P., Streitz, N. Springer Verlag: 288-304.
  9. Brusilovsky P (1996b) Methods and Techniques of Adaptive Hypermedia. User Modeling and User Adapted Interaction. 6: 87-129
  10. Chen L-d, Gillenson ML & Sherrell DL (2002) Enticing Online Consumers: an Extended Technology Acceptance Perspective. Information & Management 39(8): 705-719.
  11. Compeau R, D & Higgins A, C (1995) Computer SelfEfficacy:Development of a Measure and Initial Test. MIS Quarterly 19(2): 189-211.
  12. Compeau R, Deborah, Higgins, A, Christopher, Huff, Sidd (1999) Social Cognitive Theory and Individual Reactions to Computing Technology: a Longitudinal Study. MIS Quarterly 23(2): 145-158.
  13. Davis DF (1989) Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly 13(3): 319-340.
  14. DeLone W & MacLean E (1992) Information Systems Success: The Quest for the Dependent Variable. Information Systems Research 3(1): 60-95.
  15. Fishbein M & Ajzen I (1975) Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. MA, Addison-Wesley.
  16. Igbaria M & Chakrabarti A (1990) Computer Anxiety and Attitudes Towards Microcomputer Use. Behaviour & Information Technology 9(3): 229-241.
  17. Igbaria M & Iivari J (1995) The Effects of Self-efficacy on Computer Usage. Omega. The International Journal of Management Science. 23(6): 587-605.
  18. Ives B, Olson MH & Baroudi JJ (1983) The Measurement of User Information Satisfaction. Communications of ACM 26(10): 785-793.
  19. Kobsa A (2001) Tailoring Privacy to User's Needs (Invited keynote). User modeling: 8th International Conference, Berlin-Heidelberg, Springer Verlag: 303-313.
  20. Kobsa A (2002) Personalized Hypermedia and International Privacy. Communication of ACM 45(5): 64-67.
  21. Larcker DF & Lessig VP (1980) Perceived Usefulness of Information: a Psychometric Examination. Decision Sciences 11(1): 121-134.
  22. Lederer L, Albert., Maupin, J, Donna., Sena, P, Mark., Zhuang (1998) The Role of Ease of Use, Usefulness and Attitude in the Prediction of World Wide Web Usage. Conference on Computer Personnel Research, Boston, Massachusetts, United States: 195-204.
  23. Mathieson K (1991) Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior. Information Systems Research 2(3): 173-191.
  24. Mathieson K & Chin WW (2001) Extending the Technology Acceptance Model: The Influence of Perceived User Resources. The Data Base for Advances in Information Systems 32(3): 86-112.
  25. McKinney V, Yoon K & Zahedi FM (2002) The Measuement of Web-customer Satisfaction: An Expectation and Disconfirmation Approach. Information Systems Research 13(3): 296-315.
  26. Moore GC & Benbasath I (1991) Development of an Instrument to Measure the Perception of Adopting an Information Technology Innovation. Information Systems Research 2(3): 191-222.
  27. OWLA (2002) Open Web/Wireless Adaptive Hypermedia Applications [online]. Oulu, University of Oulu. Available from: http://owla.oulu.fi/ [Accessed 25 september 2003]
  28. Rich E (1979) Building and Exploiting User Models. Department of Computer Science. Pittsburg, Canegie-Mellon University: 193.
  29. Rogers EM (1995) Diffusion of Innovations. New York, The Free Press.
  30. Scharl A (2000) Evolutionary Web Development. J. P. Ray, J. P. Thomas and J. Kuljis, Springer-Verlag.
  31. Sievert ME, Albritton RL, Roper P & Clayton N (1988) Investigating Computer Anxiety in an Academic Library. Information Technology and Libraries. 7(9): 243-252.
  32. Strachan L, Anderson J, Sneesby M & Evans M (1997) Pragmatic User Modeling in A Commercial Software System. Sixth International Conference on User Modeling (UM-97), Chia Laguna, Italy, Springer: 189-200.
  33. Straub DW (1989) Validating Instruments in MIS Research. MIS Quarterly 13(2): 147-169.
  34. Straub DW & Watson RT (2001) Research Commentary: Transformational Issues in Researching IS and Net-Enabled Organizations. Information Systems Research: 12(4): 337-345
  35. Taylor S & Todd PA (1995) Understanding Information Technology Usage: A Test of Competing Models. Information Systems Research 6(2): 144-176.
  36. Thatcher JB & Perrewé PL (2002) An Empirical Examination of Individual Traits as Antecedents to Computer Anxiety and Computer Self-efficacy. MIS Quarterly 26(4): 381-396.
  37. Tornatzky LG & Klein KJ (1982) Innovation Characteristics and Innovation AdoptionImplementation: A Meta-analysis of Findings. IEEE Transactions on Engineering Management 29(1): 28- 45.
  38. Venkatesh V & Davis DF (1996) A Model of the Antecedents of Perceived Ease of Use: Development and Test. Decision Sciences 27(3): 451-481.
Download


Paper Citation


in Harvard Style

Pahnila S. (2004). PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL . In Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS, ISBN 972-8865-00-7, pages 195-202. DOI: 10.5220/0002630101950202


in Bibtex Style

@conference{iceis04,
author={Seppo Pahnila},
title={PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL},
booktitle={Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS,},
year={2004},
pages={195-202},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002630101950202},
isbn={972-8865-00-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the Sixth International Conference on Enterprise Information Systems - Volume 5: ICEIS,
TI - PREDICTING THE USER ACCEPTANCE OF PERSONALIZED INFORMATION SYSTEMS: CASE MEDICAL PORTAL
SN - 972-8865-00-7
AU - Pahnila S.
PY - 2004
SP - 195
EP - 202
DO - 10.5220/0002630101950202