technology adoption model

Today's world has been built on the basis of competition and uncertainty, thus the role of facilitators, such as technology and information technology is undeniable. In this research developed Technology Acceptance Model to identify and prioritizing the factors affecting was used on formation of decision and behavior of customers in adoption of Internet banking of Post Bank. The statistical population consisted of all consumers of Post Bank in Tehran. Total of 400 questionnaires was distributed among community members; ultimately 384 usable questionnaires were coded and were entered into SPSS and LISREL software up to use the analysis of data. Results of factor analysis indicated proper fitting of the model and compliance of extracted factors with designed questions and explained variables in the model of the research. At the inferential statistics level also the results of using single sample T-test and ANOVA Friedman tests often were confirmed research hypotheses. Furthermore were showed the ease of application variable has the most influence on Internet banking adoption and next variables had been in order being applied, the security of private information, being pleasure existence of appropriate hardware and familiarity with Internet banking.

This study aims to develop an adoption model tailored for service-oriented organizations and then evaluate its effectiveness within the specific context of Tehran Municipality, Iran's foremost service-oriented institution. Utilizing a mixed-method research approach integrating qualitative and quantitative methodologies, this study delineated the dimensions, categories, and indicators pertinent to the adoption of Electronic Human Resource Management (EHRM) systems in service-oriented organizations. Qualitative methodologies were employed to identify and develop the adoption model, which was subsequently evaluated within Tehran Municipality using a quantitative approach. In the qualitative segment of this study, in-depth interviews were conducted using a snowball sampling technique until theoretical saturation was achieved. For the quantitative phase, a sample of 310 experts affiliated with Tehran Municipality's EHRM system was surveyed. Structural equation modeling and Smart PLS 4.0 software were employed for data analysis. Ultimately, this research extracted five dimensions, 14 categories, and 94 indicators for the proposed adoption model. Notably, experts accorded the highest priority to the technological dimension in the adoption model, with specific emphasis on “adaptive architecture, security and privacy of employees, trialability and reliability, organizational citizenship behavior, organizational dynamic capabilities, digital Leadership Policy and Actions, cloud computing, etc…”, as pivotal factors in EHRM adoption. The organizational dimension assumed the second-highest priority, while the individual dimension was assigned a third-place ranking. Micro and macro-environmental factors followed in subsequent priority order.