Technology innovation and diffusion in the smart age: Focusing on the diffusion factors of the wearable device

This paper is an empirical study on "what are the factors that affect the proliferation of new technology-based products or services?" The dependent variable is the adoption of wearable devices. Independent variables are demographic factors (gender, age, education, occupation, income) device factors (device performance, brand), digital behavioral factors (frequently used apps), and psychological factors (purchase style, personality). We did logistic analysis with the data from 2015 KISDI media panel survey. As a result, purchasing of wearable devices is considered to be an initial stage that is influenced by device performance and brand rather than factors such as usage of contents. As a result of logistic regression analysis, income among demographic variables, device performance, and the brand of interlocking device are significant influence variables. According to the analysis, the initial spread of wearable devices mainly depends on the performance excellence or brand loyalty of wearable devices or interlocking devices (eg smart phones).