Statement of the Problem: Health information technology is used in dentistry worldwide. Despite the limited specialized resources for providing orthodontic treatment in Iran, the need to examine the technology acceptance model (TAM) seems necessary and is a significant step in the successful acceptance of teleorthodontic technology.
Purpose: The present study has identified and investigated the factors affecting the acceptance of teleorthodontic technology among orthodontists based on the TAM3 with the aim of successful implementation and deployment of this technology.
Materials and Method: In this descriptive-analytical research, 300 Iranian orthodontists who were members of the Iranian Orthodontic Association were selected by census sampling. The data was gathered through a modified and accommodated questionnaire called the acceptance model 3. The validity was confirmed. Moreover, the reliability was calculated based on Cronbach's alpha, which was equal to 0.870. Multiple linear regression analysis was also utilized to investigate the relationships between dependent, independent, and mediator variables. Besides, the final model was designed by the Amos software.
Results: The results of 251 orthodontic specialists proved that subjective norm, job relevance, output quality, results in demonstrability, and job relevance on output quality could significantly affect perceived usefulness. Similarly, the perception of external control was identified to have a significant influence on perceived ease of use. On the other hand, the perceived usefulness does not play a mediating role between perception and subjective norm. Furthermore, perceived usefulness was confirmed as a mediating factor in relationship to both perceived ease of use and behavioral intention.
Conclusion: The findings of the present study revealed valuable scientific evidence to identify and apply the key factors affecting the acceptance and use of modern teleorthodontic technology in Iran. Besides, the structure of the TAM3 was recognized as fruitful and worthwhile for predicting the acceptance of this new technology and also in identifying key effective factors.
Nasrin Davaridolatabadi (Google Scholar)