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An Empirical Survey On The Prospects Of Mobile Money In Morocco

Author

Listed:
  • Echchabi Abdelghani

    (International Islamic University Malaysia)

  • Hassanuddeen Abd. Aziz

    (International Islamic University Malaysia)

Abstract

The main purpose of the study is to examine the intention of the Moroccan customers to adopt mobile money, as well as the factors that may lead to it. The study employs descriptive statistics, one sample t-test and multiple regression. 400 questionnaires were randomly distributed to the Moroccan banks’ customers. The findings indicate that the Moroccan customers have the willingness to adopt mobile money. Furthermore, the results show that complexity, relative advantage, compatibility, and trialability are good predictors of the intention to adopt mobile money in Morocco.

Suggested Citation

  • Echchabi Abdelghani & Hassanuddeen Abd. Aziz, 2013. "An Empirical Survey On The Prospects Of Mobile Money In Morocco," Studies in Business and Economics, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 8(1), pages 46-54, April.
    • Handle: RePEc:blg:journl:v:8:y:2013:i:1:p:46-54
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    References listed on IDEAS

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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Shirley Taylor & Peter A. Todd, 1995. "Understanding Information Technology Usage: A Test of Competing Models," Information Systems Research, INFORMS, vol. 6(2), pages 144-176, June.
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