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User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model

Author

Listed:
  • Subhasish Dasgupta

    (The George Washington University)

  • Mary Granger

    (The George Washington University)

  • Nina McGarry

    (The George Washington University)

Abstract

This study investigates the applicability of Davis' Technology Acceptance Model (TAM) in the user acceptance of electronic collaboration technology. A courseware management tool is used to test the various findings of TAM. Perceived usefulness of the technology emerges as a positive impact on perceived usefulness, and usefulness, in turn, has a negative relationship with system usage. Additionally, certain aspects of system usage influenced student performance in the course. Prior use of the system also affected system use.

Suggested Citation

  • Subhasish Dasgupta & Mary Granger & Nina McGarry, 2002. "User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model," Group Decision and Negotiation, Springer, vol. 11(2), pages 87-100, March.
    • Handle: RePEc:spr:grdene:v:11:y:2002:i:2:d:10.1023_a:1015221710638
    DOI: 10.1023/A:1015221710638
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    References listed on IDEAS

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    1. Pinsonneault, Alain & Kraemer, Kenneth L., 1990. "The effects of electronic meetings on group processes and outcomes: An assessment of the empirical research," European Journal of Operational Research, Elsevier, vol. 46(2), pages 143-161, May.
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    Cited by:

    1. Trkman, Marina & Trkman, Peter, 2014. "Actors’ misaligned interests to explain the low impact of an information system – A case study," International Journal of Information Management, Elsevier, vol. 34(2), pages 296-307.
    2. Escobar-Rodríguez, Tomás & Bartual-Sopena, Lourdes, 2015. "Impact of cultural factors on attitude toward using ERP systems in public hospitals," Revista de Contabilidad - Spanish Accounting Review, Elsevier, vol. 18(2), pages 127-137.
    3. Sanjiv D. Vaidya & Priya Seetharaman, 2011. "Explaining Sophistication in Collaborative Technology Use: A Context—Technology Fit Perspective," Group Decision and Negotiation, Springer, vol. 20(2), pages 185-213, March.
    4. Hou, Chung-Kuang, 2012. "Examining the effect of user satisfaction on system usage and individual performance with business intelligence systems: An empirical study of Taiwan's electronics industry," International Journal of Information Management, Elsevier, vol. 32(6), pages 560-573.
    5. Ofir Turel & Catherine E. Connelly, 2012. "Team Spirit: The Influence of Psychological Collectivism on the Usage of E-Collaboration Tools," Group Decision and Negotiation, Springer, vol. 21(5), pages 703-725, September.
    6. Takayuki Ito & Rafik Hadfi & Shota Suzuki, 2022. "An Agent that Facilitates Crowd Discussion," Group Decision and Negotiation, Springer, vol. 31(3), pages 621-647, June.
    7. Denolf, Janne.M. & Wognum, Nel P.M. & Trienekens, Jacques H. & van der Vorst, Jack G.A.J. & Omta, S.W.F. (Onno), 2012. "Towards a Supply-Chain Instrument to Monitor an Information Technology Implementation," 2012 International European Forum, February 13-17, 2012, Innsbruck-Igls, Austria 144968, International European Forum on System Dynamics and Innovation in Food Networks.
    8. Akca Yasar & Gokhan Ozer, 2016. "Determination the Factors that Affect the Use of Enterprise Resource Planning Information System through Technology Acceptance Model," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(10), pages 1-91, September.
    9. Ofir Turel & Yufei Yuan, 2007. "User Acceptance of Web-Based Negotiation Support Systems: The Role of Perceived Intention of the Negotiating Partner to Negotiate Online," Group Decision and Negotiation, Springer, vol. 16(5), pages 451-468, September.

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