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K. Mathieson, “Predicting User Intention: Comparing Technology Acceptance Model with the Theory of Planned Behavior,” Information System Research, Vol. 2, No. 3, 1991, pp. 173-191. doi:10.1287/isre.2.3.173

has been cited by the following article:

• TITLE: Determinants of E-Learning Acceptance: An Empirical Study in the Tunisian Context

  AUTHORS: Bouzaabia Rym, Bouzaabia Olfa, Ben M’Barek Mélika

  KEYWORDS: E-Learning; Technology Acceptance Model; Tunisian Context; Structural Equation Modeling

  JOURNAL NAME: American Journal of Industrial and Business Management, Vol.3 No.3, June 27, 2013

  ABSTRACT: This study proposes to identify the determinants of accepting e-learning by the employees of the Tunisian Post Office using the Technology Acceptance Model (TAM). An empirical study was conducted over a sample of 200 Tunisian employees. Our results indicated that for the Tunisian employees perceived usefulness, perceived ease of use, mastery of new information and communication technologies (NICT) as individual factors as well as the proposed technique as an organisational factor represented the main determinants of e-learning acceptance.