چكيده به لاتين
With the ever-expanding range of new technologies, tremendous developments have occurred in banking and commerce, and consequently, traditional methods have been transformed into modern. Undoubtedly, banks and financial institutions must equip themselves with the latest and most advanced technologies to be accountable for the future demands of customers. In this study, due to the importance of the new technology acceptance by the clients of banks and financial institutions, an acceptance model of applicable biometric technologies in the banking industry is presented based on Davis model to demonstrate the appropriate acceptance model for biometric technologies applicable in the banking industry. As new technologies enter the banking sector spending heavy initial costs, it is very important that they are accepted by the users, since their rejection will not be economical for the banks. The case study was selected from customers of Pasargad Bank who used biometric technology when using the bank's mobile services. According to Morgan table, 383 persons were selected to determine sample size. For this purpose, the appropriate and related components were divided into 4 classes including individual, organizational, social and infrastructural factors and the relationship between the components was considered and analyzed in a Likert-type questionnaire. Smart PLS software is used for data analysis. The results showed that organizational and social factors were effective on perceived usefulness whilst individual factors were effective on ease of use and demonstrated significant relevance.
