Factors Affecting the Adoption of Internet of Things Technologies in Smart Business Based on the TAM

Given that the Internet of Things has been widely studied and considered and is increasing, so it is necessary to examine the factors affecting the application and acceptance of this technology as much as possible. Accordingly, the purpose of this study is to explain the relationships between the dimensions and indicators of the IoT adoption model in smart business.

From the point of view of purpose, this research is a descriptive research, from the philosophical point of view, it is based on the compositional approach, and in fact, it will use the chemo-facial approach. According to the combined approach of the research, first, criteria and sub-criteria were extracted based on interviews and a paradigm model was presented using the grounded theory method. Then, in the quantitative part, the validation of the presented paradigm model was performed based on the data collected based on a questionnaire. To evaluate the qualitative validity of the research, face validity and qualitative validity of the content and to evaluate the quantitative reliability, Cronbach's alpha method was used. In order to analyze the data and achieve the main goals, SPSS and Smart PLS soft wares were used.

The results of coding showed that 63 primary codes were identified in six categories: social dimension, cultural dimension, human dimension, technological dimension, financial dimension, management dimension, and government regulations. The final acceptance model with a GOF index of 0.491 indicates the high overall quality of the model and applicability in the study population. All the variables identified in the model, including infrastructure, management, technology, education and finally cultural and social, in the acceptance of electronic services, have an important and significant role and the relationship between endogenous and exogenous variables of the model has been significant. Priorities for the effects of the technology acceptance model variables were government rules and regulations (0.552), financial dimension (0.504) and socio-cultural dimension (0.419), respectively.

According to the research results, creating the necessary environment to facilitate the entry and launch of new technologies in the country is essential.