A unified perspective on the factors influencing consumer acceptance of internet of things technology
Gao, Lingling and Bai, X, A unified perspective on the factors influencing consumer acceptance of internet of things technology, Asia Pacific Journal of Marketing and Logistics, 26, (2) pp. 211-231. ISSN 1355-5855 (2014) [Refereed Article]
Purpose – With recent advances in internet technologies, internet of things (IoT) technology is
having an increasing impact on our daily lives, and beginning to offer interesting and advantageous
new services. The current research aims to develop and test an integrative model of factors
determining consumers’ acceptance of IoT technology.
Design/methodology/approach – Based on technology acceptance model (TAM), the authors
proposed an IoT acceptance model that consists of three technology factors (perceived usefulness,
perceived ease of use, and trust); one social context factor (social influence); and two individual user
characteristics (perceived enjoyment and perceived behavioral control). Data from 368 Chinese
consumers were used to test the research model through the use of structural equation modeling.
Findings – The results showed particularly strong support for the effects of perceived usefulness,
perceived ease of use, social influence, perceived enjoyment, and perceived behavioral control.
However, trust played an insignificant role in predicting the intention. In addition, perceived ease of
use and trust were found to affect perceived usefulness. Compared with the individual TAM model,
the integrated model provides more explanation on user behavioral intention toward IoT usage.
Originality/value – The integrated model explores the driving factors of individuals’ willingness to
use IoT technology from the perspectives of the technology itself, social context and individual user
characteristic. It links the constructs of social influence, enjoyment, and perceived behavioral control to
the TAM and successfully extends TAM in the IoT technology context.
Information systems, Innovation diffusion, Hybrid intelligent business systems,