Investigation of Consumers' Behavioral Intentions to Use Smart Wearables Through Extended Technology Acceptance Model

Abstract

Purpose – With this study, it is aimed to examine which variables have an effect on the behavioral intentions of consumers for the use of smart wearables working with IoT technology with in the scope of the extended technology acceptance model. Design/methodology/approach – The population of the research consists of consumers aged 18 and over in Ankara. Face-to-face survey technique and convenience sampling method were used to collect data in the study. SPSS 23 and AMOS 23 statistical package programs were used in the analysis of the data. 451 consumers aged 18 and overliving in Ankara were included in the study. Today, the entire product range of smart wearables offered to consumers has been included in the research area. To achieve th epurpose of the research, a research model was created with 10 variables (information technology knowledge, socialimpact, privacy and security, perceived ease of use, cost, trust, perceived usefulness, compatibility, attitude towards use and behavioral intention to use) and technology acceptance model was expanded. Findings – According to the findings obtained in the study, it has been determined that the independent variables of information technology knowledge, perceived ease of use and perceived usefulness, which are evaluated to have an effect on the behavioral intentions of consumers to use smart wearables, have a positive and significant effect on the dependent variable of attitude towards use. It was determined that the dependent variable of attitude towards use had a positive and significant effect on the dependent variable of behavioral intention to use. In addition, it has been determined that the independent variables of social impact, privacy and security, cost and trust have no effect on consumers' attitudes towards smart wearables. Discussion – For the use of smart wearables objects, which are becoming increasingly common, businesses; they can increase the acceptance and use of smart wearables by designing products with high functionality, simple, easy to operate and far from complexity, by providing high information and enabling consumers to experience the products.