The influence of acceptance and adoption drivers on smart home usage

Marco Hubert*, Markus Blut, Christian Brock, Ruby Wenjiao Zhang, Vincent Koch, René Riedl

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    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.

    Original languageEnglish
    Pages (from-to)1073-1098
    Number of pages26
    JournalEuropean Journal of Marketing
    Issue number6
    Early online date1 Sept 2018
    Publication statusPublished - 19 Jul 2019

    Bibliographical note

    © Marco Hubert, Markus Blut, Christian Brock, Ruby Wenjiao Zhang, Vincent Koch and René Riedl. 2018
    Published by Emerald Publishing Limited
    Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at


    • Innovation diffusion theory
    • Perceived risk
    • Smart home application
    • Technology acceptance model


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