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.

Since observing customers outnumber focal customers in most service interactions, service managers aim to engage them despite triggers, such as service incivility. This research contributes to the understanding of the role of stress in observing customers' engagement (CE). It answers two RQs: (1) What is the relationship between their stress and engagement?; (2) What are the triggers of stress? Since ethnically different people pay different levels of attention to contextual and social factors, two sequential scenariobased experiments are adopted to study two triggers of stress (i.e., availability of information about an incivility incident, and ethnic similarity between the observing customer and the mistreated employee), which impacts CE in an intercultural service encounter. Study 1 compares being exposed to full versus partial information and demonstrates that full information about the incivility incident increases observers' psychological stress, which reduces their behavioral and emotional engagement. Study 2 compares how white and black observers react to ethnic similarity between the observing customer and the mistreated employee. Results show that incivility triggers outward psychological stress in white and black observers. In turn, black observers' outward stress reduces their behavioral engagement, while white observers' behavioral engagement is reduced by both their inward and outward stress.

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