TY  - JOUR
AB  - Purpose This study aims to develop a comprehensive adoption model that combines constructs from various theories and tests these theories against each other. The study combines a technology acceptance model, innovation diffusion theory and risk theory. It develops this model in a smart home applications context.Design/methodology/approach The study is based on an online survey consisting of 409 participants, and the data are analyzed using structural equation modeling.Findings Each theory provides unique insights into technology acceptance and numerous constructs are interrelated. Predictors from innovation diffusion and risk theory often display indirect effects through technology acceptance variables. The study identifies risk perception as a major inhibitor of use intention, mediated through perceived usefulness. Results reveal that the most important determinants of use intention are compatibility and usefulness of the application.Research limitations/implications Studies which do not examine different theories together may not be able to detect the indirect effects of some predictors and could falsely conclude that these predictors do no matter. The findings emphasize the crucial role of compatibility, perceived usefulness and various risk facets associated with smart homes.Originality/value This study broadens the understanding about the necessity of combining acceptance and adoption drivers from several theories to better understand the usage of complex technological systems such as smart home applications.
VL  - 53
IS  - 6
SN  - 0309-0566
DO  - 10.1108/EJM-12-2016-0794
UR  - https://doi.org/10.1108/EJM-12-2016-0794
AU  - Hubert Marco
AU  - Blut Markus
AU  - Brock Christian
AU  - Zhang Ruby Wenjiao
AU  - Koch Vincent
AU  - Riedl René
PY  - 2018
Y1  - 2018/01/01
TI  - The influence of acceptance and adoption drivers on smart home usage
T2  - European Journal of Marketing
PB  - Emerald Publishing Limited
SP  - 1073
EP  - 1098
Y2  - 2024/04/24
ER  -