Abstract:

This study aims to analyze possible predictors of technology acceptance model based on qualitative review of relative articles. Thus, within the scope of this study articles that had based their theoretical framework on Technology Acceptance Model (TAM) were screened. For this reason, fifty papers, which were published in thirty-two journals and nine conferences between the years 1999 and 2010, were reviewed. In terms of the articles reviewed, search results revealed that most of the research studies were in the fields of education and business. These papers were examined with three main objectives in mind: (1) to investigate TAM variables that were found effective and ineffective from a critical point of view; (2) to highlight the top use of the effective variables; (3) to compose the study fields of TAM. These papers were analyzed through content analysis by an inductive approach. In the first stage coding was carried out according to previously identified concepts (scanning, selection criteria) and themes that were emerged in this context. Then the data were organized and grouped according to themes and presented by means of making numerical transformation in appropriate cases. Finally, the achieved findings were interpreted. The results showed that the main variables of "Technology Acceptance Model" were remained as the most effective ones although numerous attempts have been made to add other variables to existing ones.

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