A study on acceptance of smart fashion products- An empirical test of an extended technology acceptance model -

Abstract

Using the extended technology acceptance model (TAM), the study aimed to understand consumers` adoption process for smart fashion products. The research model was designed to examine the impacts of perceived ease of use and usefulness on attitude and behavior intention toward smart fashion products based on the technology innovativeness, enjoyment, and subjective norm variables. An online survey was conducted on consumers by employing a marketing research company. A total of 230 useable responses were obtained. Confirmatory Factor Analysis (CFA) was performed to test the measurement model. The proposed hypotheses were tested by employing the Structural Equation Model (SEM). The results found a positive impact of perceived ease of use on usefulness and a positive influence of usefulness on attitude and behavior intention. Attitude had a positive effect on behavior intention. In addition, technology innovativeness was found to have a positive influence on perceived ease of use and enjoyment had a positive influence on usefulness and attitude. Subjective norm predicted behavior intention. The findings of the study contribute to smart fashion literature and have important implications for smart fashion product developers and marketers, as they offer insights into the important role of technology innovativeness, enjoyment, and subjective norms perceived by consumers in improving attitudes and behavior intentions toward the products. Limitations and future research directions are discussed.