ANALYZING PERCEPTIONS TOWARD SMART HOME DEVICES THROUGH THE UTAUT MODEL: A STUDY ON ROBOT VACUUM USERS

This study aims to investigate how users view smart home technology using the Unified Technology Acceptance and Usage Theory (UTAUT) model. In this context, a survey was conducted with 288 robot vacuum cleaner users. In the study, the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on behavioral intention and usage behavior were analyzed. SPSS 25 and AMOS 26 software were used to analyze the data. The research model was tested and validated using structural equation modeling. The results showed that while facilitating factors and behavioral intention influence usage behavior, performance expectancy, effort expectancy, and social influence affect behavioral intention. The study's conclusion included recommendations and theoretical and practical implications.

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Publication Details

Journal
Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
Published
2025-10-26
DOI
https://doi.org/10.29029/busbed.1689400
Primary Topic
Technology Adoption and User Behaviour
Type
article
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article

ANALYZING PERCEPTIONS TOWARD SMART HOME DEVICES THROUGH THE UTAUT MODEL: A STUDY ON ROBOT VACUUM USERS

Bulut DÜLEK, Mehmet Emin YAŞAR, H. Koçak
Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi
Technology Adoption and User Behaviour
article

ANALYZING PERCEPTIONS TOWARD SMART HOME DEVICES THROUGH THE UTAUT MODEL: A STUDY ON ROBOT VACUUM USERS

Bulut DÜLEK, Mehmet Emin YAŞAR, H. Koçak
article en

Abstract

This study aims to investigate how users view smart home technology using the Unified Technology Acceptance and Usage Theory (UTAUT) model. In this context, a survey was conducted with 288 robot vacuum cleaner users. In the study, the effects of performance expectancy, effort expectancy, social influence and facilitating conditions on behavioral intention and usage behavior were analyzed. SPSS 25 and AMOS 26 software were used to analyze the data. The research model was tested and validated using structural equation modeling. The results showed that while facilitating factors and behavioral intention influence usage behavior, performance expectancy, effort expectancy, and social influence affect behavioral intention. The study's conclusion included recommendations and theoretical and practical implications.

Bingöl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(30)
Van Yüzüncü Yıl Üniversitesi (TR), Bingöl University (TR)
Openalex Percentile: Top 71%
Technology Adoption and User Behaviour
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