IDEAS home Printed from https://ideas.repec.org/a/eee/jomega/v18y1990i6p637-652.html
   My bibliography  Save this article

End-user computing effectiveness: A structural equation model

Author

Listed:
  • Igbaria, M

Abstract

The paper reports the results of a field study investigating the determinants of End-User Computing (EUC) effectiveness among 187 end-users. A conceptual structural model was developed and tested using Partial Least Squares (PLS). The results show that computer anxiety and attitudes toward EUC are significantly affected by work/life experiences, end-user training, computer experience, and information center support. Computer anxiety also affected attitudes towards EUC. In addition, the number of tasks for which computers are used is directly affected by end-user training, computer experience, organizational support provided by information center and top management, task structure, and attitudes toward EUC. Furthermore, system usage, end-user satisfaction, and perceived effectiveness are strongly affected by end-user training, computer experience, top management support, information center support, task structure, task variety and attitudes towards EUC.

Suggested Citation

  • Igbaria, M, 1990. "End-user computing effectiveness: A structural equation model," Omega, Elsevier, vol. 18(6), pages 637-652.
    • Handle: RePEc:eee:jomega:v:18:y:1990:i:6:p:637-652
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/0305-0483(90)90055-E
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Norzaidi Mohd Daud, 2024. "Manager’s Performance and Technology Withdrawal: Are They Related? An Empirical Study in the Maritime Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(8), pages 2965-2972, August.
    2. Lee, Sang-Yong Tom & Kim, Hee-Woong & Gupta, Sumeet, 2009. "Measuring open source software success," Omega, Elsevier, vol. 37(2), pages 426-438, April.
    3. Zheng Li & Xiaodong Lou & Minwei Chen & Siyu Li & Cixian Lv & Shuting Song & Linlin Li, 2023. "Students’ online learning adaptability and their continuous usage intention across different disciplines," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-10, December.
    4. Frambach, Ruud T. & Schillewaert, Niels, 2002. "Organizational innovation adoption: a multi-level framework of determinants and opportunities for future research," Journal of Business Research, Elsevier, vol. 55(2), pages 163-176, February.
    5. Minkyung Choy & Gunno Park, 2016. "Sustaining Innovative Success: A Case Study on Consumer-Centric Innovation in the ICT Industry," Sustainability, MDPI, vol. 8(10), pages 1-13, September.
    6. 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.
    7. Rajiv Sabherwal & Anand Jeyaraj & Charles Chowa, 2006. "Information System Success: Individual and Organizational Determinants," Management Science, INFORMS, vol. 52(12), pages 1849-1864, December.
    8. Zhong, Yongping & Oh, Segu & Moon, Hee Cheol, 2021. "Service transformation under industry 4.0: Investigating acceptance of facial recognition payment through an extended technology acceptance model," Technology in Society, Elsevier, vol. 64(C).
    9. Li, L. X., 1997. "Relationships between determinants of hospital quality management and service quality performance--a path analytic model," Omega, Elsevier, vol. 25(5), pages 535-545, October.
    10. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    11. Adi Alsyouf & Awanis Ku Ishak & Abdalwali Lutfi & Fahad Nasser Alhazmi & Manaf Al-Okaily, 2022. "The Role of Personality and Top Management Support in Continuance Intention to Use Electronic Health Record Systems among Nurses," IJERPH, MDPI, vol. 19(17), pages 1-30, September.

    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:jomega:v:18:y:1990:i:6:p:637-652. 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: http://www.elsevier.com/wps/find/journaldescription.cws_home/375/description#description .

    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.