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User acceptance of microcomputer technology: An empirical test

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  • Igbaria, M

Abstract

The study tested the determinants of user acceptance of microcomputer technology among 519 managers. Results provided moderate support for the proposed model and the pattern of linkages specified among the study variables. Results showed that computer experience had strong direct and indirect effects on computer anxiety, perceived usefulness, attitudes toward using the system, behavioral intentions, and user acceptance. User training and information center (IC) support had strong negative effects on computer anxiety and positive effects on perceived usefulness, attitudes, behavioral intentions, and user acceptance of the microcomputer technology. Smaller but significant effects were also found for management support, age, education, and gender on most of the endogenous variables. Computer anxiety was found to have a strong negative effect on perceived usefulness and behavioral intentions, indirect effects on attitudes and user acceptance via perceived usefulness, and both direct and indirect effects on behavioral intentions. Perceived usefulness had positive effects on attitudes, behavioral intentions, and user acceptance, and attitudes had a moderate effect on behavioral intentions. Finally, behavioral intentions were found to be the determinants of user acceptance of microcomputer technology. Suggestions regarding areas for future research and implications are offered.

Suggested Citation

  • Igbaria, M, 1993. "User acceptance of microcomputer technology: An empirical test," Omega, Elsevier, vol. 21(1), pages 73-90, January.
    • Handle: RePEc:eee:jomega:v:21:y:1993:i:1:p:73-90
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    Cited by:

    1. Theodoros MITAKOS & Ioannis ALMALIOTIS & Anna DEMEROUTI, 2010. "An Auditing Approach for ERP Systems Examining Human Factors that Influence ERP User Satisfaction," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 14(1), pages 78-92.
    2. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    3. 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.
    4. Lorne D. Booker & Brian Detlor & Alexander Serenko, 2012. "Factors affecting the adoption of online library resources by business students," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2503-2520, December.
    5. Park, Jieun & Kim, Junghwan & Nam, Changi & Kim, Seongcheol, 2013. "Driver's intention to use smartphone-car connectivity," 24th European Regional ITS Conference, Florence 2013 88467, International Telecommunications Society (ITS).
    6. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    7. 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.
    8. Mohamed El Adib & Mohamed Achraf Nafzaoui, 2023. "Analysis of the determinants of digital technology adoption in Moroccan audit firms: development of an explanatory conceptual model Analyse des déterminants de l'adoption des technologies numériques d," Post-Print hal-04193924, HAL.
    9. Hernández-García, Ángel & Iglesias-Pradas, Santiago & Fernández-Cardador, Pedro, 2016. "Causal recipes for acceptance and refusal of corporate blogs," Journal of Business Research, Elsevier, vol. 69(4), pages 1492-1497.
    10. Al-Jabri, Im & Abdul-Gader, Ah, 1997. "Software copyright infringements: an exploratory study of the effects of individual and peer beliefs," Omega, Elsevier, vol. 25(3), pages 335-344, June.
    11. Kaba, Bangaly & Osei-Bryson, Kweku-Muata, 2013. "Examining influence of national culture on individuals’ attitude and use of information and communication technology: Assessment of moderating effect of culture through cross countries study," International Journal of Information Management, Elsevier, vol. 33(3), pages 441-452.
    12. Igbaria, M. & Iivari, J., 1995. "The effects of self-efficacy on computer usage," Omega, Elsevier, vol. 23(6), pages 587-605, December.
    13. Habibah Hj. Lateh & Abouzed Salah Berrim, 2014. "Determining the Factors Affecting the Intention of Using (GNIS) among the Libyan Government Officers," International Journal of Learning and Development, Macrothink Institute, vol. 4(2), pages 97-110, June.
    14. Roy, Sanjit Kumar & Balaji, M S & Sadeque, Saalem & Nguyen, Bang & Melewar, T C, 2017. "Constituents and consequences of smart customer experience in retailing," Technological Forecasting and Social Change, Elsevier, vol. 124(C), pages 257-270.

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