The influence of acceptance and adoption drivers on smart home usage

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

Research output: Contribution to journalArticlepeer-review

152 Citations (Scopus)


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
Publication statusPublished - 10 Jun 2019


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


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