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Implementation of E-Training in Developing Country: Empirical Evidence from Jordan

Author

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  • Fawzieh Mohammed Saeed Masa'd

Abstract

This paper is to emphasize the factors that aid e-training adoption in the developing country like Jordan. This paper is based on past review literature databases. The literature recognized the role of computer self-efficacy, availability of resources and perceived support in e-training adoption. This paper using the technology acceptance model (TAM) for modelling framework and explained the importance of these variables in e-training adoption in developing country context. The author found that the combined role of computer self-efficacy, technological infrastructure, Internet facilities and technical support is critical for e-training adoption in developing countries, particularly in Jordan. Thus, the authors proposed the combination of these variables which would encourage future research on the use of TAM in technology adoption. Research limitations/implications – This paper gives an elaboration of the role of computer self-efficacy, perceived cost, availability of resources and perceived support with TAM as base of the framework. This provides researchers the opportunity to test the proposed framework empirically and further suggest other variables that can aid e-training adoption in the context of developing country. Practical implications – The result of this paper can serve as a guide to managers and policymakers to have a better understanding of the requirements for e-training adoption, especially in developing countries. This will go a long way towards designing good policies that could maximise e-training results.

Suggested Citation

  • Fawzieh Mohammed Saeed Masa'd, 2017. "Implementation of E-Training in Developing Country: Empirical Evidence from Jordan," International Business Research, Canadian Center of Science and Education, vol. 10(4), pages 42-57, April.
    • Handle: RePEc:ibn:ibrjnl:v:10:y:2017:i:4:p:42-57
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    References listed on IDEAS

    as
    1. Deborah R. Compeau & Christopher A. Higgins, 1995. "Application of Social Cognitive Theory to Training for Computer Skills," Information Systems Research, INFORMS, vol. 6(2), pages 118-143, June.
    2. Kieran Mathieson, 1991. "Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior," Information Systems Research, INFORMS, vol. 2(3), pages 173-191, September.
    3. Mueen Mohsin & Rosnafisah Sulaiman, 2013. "A Study on E-Training Adoption for Higher Learning Institutions," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(9), pages 2006-2018, September.
    4. Rajagopal, 2013. "Technology and Media Effectiveness," Palgrave Macmillan Books, in: Managing Social Media and Consumerism, chapter 8, pages 152-170, Palgrave Macmillan.
    5. Fred D. Davis & Richard P. Bagozzi & Paul R. Warshaw, 1989. "User Acceptance of Computer Technology: A Comparison of Two Theoretical Models," Management Science, INFORMS, vol. 35(8), pages 982-1003, August.
    6. Uzoamaka P Anakwe & Magid Igbaria & Murugan Anandarajan, 2000. "Management Practices Across Cultures: Role of Support in Technology Usage," Journal of International Business Studies, Palgrave Macmillan;Academy of International Business, vol. 31(4), pages 653-666, December.
    7. Mohsin, Mueen & Sulaiman, Rosnafisah, 2013. "A Study on E-Training Adoption for Higher Learning Institutions," International Journal of Asian Social Science, Asian Economic and Social Society, vol. 3(9), pages 2006-2018.
    8. Hunter, John E, 2001. "The Desperate Need for Replications," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 28(1), pages 149-158, June.
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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