IDEAS home Printed from https://ideas.repec.org/a/eee/ininma/v29y2009i1p67-77.html
   My bibliography  Save this article

Investigating the role of attitude in technology acceptance from an attitude strength perspective

Author

Listed:
  • Kim, Yong Jin
  • Chun, Jae Uk
  • Song, Jaeki

Abstract

Since Davis et al. originally formulated the Technology Acceptance Model (TAM), research on information technology (IT) acceptance has yielded many extended and competing models. Empirical investigation of these models, however, has not consistently supported the mediating role of attitude in predicting user IT adoption, leading some researchers to claim a minimal role of attitude. In this study, we call for attention to the role of attitude in explaining technology acceptance behavior. In developing the research model, we draw on both the concept of attitude strength and previous technology acceptance studies. Empirical examination of our research hypotheses indicates that attitude toward system use fully mediates the effects of salient beliefs on behavioral intention when the attitude is strong, whereas it partially mediates the effects when the attitude is weak. Our findings provide additional insights in predicting technology acceptance behavior.

Suggested Citation

  • Kim, Yong Jin & Chun, Jae Uk & Song, Jaeki, 2009. "Investigating the role of attitude in technology acceptance from an attitude strength perspective," International Journal of Information Management, Elsevier, vol. 29(1), pages 67-77.
    • Handle: RePEc:eee:ininma:v:29:y:2009:i:1:p:67-77
    DOI: 10.1016/j.ijinfomgt.2008.01.011
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0268401208000157
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ijinfomgt.2008.01.011?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Wang, Hui-Chih & Doong, Her-Sen, 2010. "Argument form and spokesperson type: The recommendation strategy of virtual salespersons," International Journal of Information Management, Elsevier, vol. 30(6), pages 493-501.
    2. Udo, Godwin J. & Bagchi, Kallol K. & Kirs, Peeter J., 2010. "An assessment of customers’ e-service quality perception, satisfaction and intention," International Journal of Information Management, Elsevier, vol. 30(6), pages 481-492.
    3. Irianna Futri & Chavis Ketkaew & Phaninee Naruetharadhol, 2024. "Influential Factors Affecting the Intention to Utilize Advance Care Plans (ACPs) in Thailand and Indonesia," Societies, MDPI, vol. 14(8), pages 1-20, July.
    4. Sheshadri Chatterjee & Nripendra P. Rana & Sangeeta Khorana & Patrick Mikalef & Anuj Sharma, 2023. "Assessing Organizational Users’ Intentions and Behavior to AI Integrated CRM Systems: a Meta-UTAUT Approach," Information Systems Frontiers, Springer, vol. 25(4), pages 1299-1313, August.
    5. Jonas Wanner & Lukas-Valentin Herm & Kai Heinrich & Christian Janiesch, 2022. "The effect of transparency and trust on intelligent system acceptance: Evidence from a user-based study," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2079-2102, December.
    6. Tam To Nguyen & Huong Thi Thu Truong & Tuan Le-Anh, 2023. "Online Purchase Intention Under the Integration of Theory of Planned Behavior and Technology Acceptance Model," SAGE Open, , vol. 13(4), pages 21582440231, December.
    7. Pedro C. Santana-Mancilla & Luis E. Anido-Rifón, 2017. "The Technology Acceptance of a TV Platform for the Elderly Living Alone or in Public Nursing Homes," IJERPH, MDPI, vol. 14(6), pages 1-15, June.
    8. Zhu, Yan & Li, Yan & Wang, Weiquan & Chen, Jian, 2010. "What leads to post-implementation success of ERP? An empirical study of the Chinese retail industry," International Journal of Information Management, Elsevier, vol. 30(3), pages 265-276.

    More about this item

    Keywords

    Attitude; Attitude strength;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:ininma:v:29:y:2009:i:1:p:67-77. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/international-journal-of-information-management .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.