TY - CHAP
T1 - Smart Home Technology Acceptance: An empirical Investigation
AU - Marikyan, Davit
AU - Papagiannidis, Savvas
AU - Alamanos, Eleftherios
PY - 2019/8/14
Y1 - 2019/8/14
N2 - Recent technological advances have contributed to the development of smart homes, embedded with artificial intelligence, which aim to provide tailored services to residents. Smart home technologies benefit people daily and improve the environment in the long-term perspective. Despite the great interest of the research community in smart homes, the adoption rate is still low. The purpose of this study is to develop the research model, which can explain the acceptance of smart homes by users. Along with the relationship of technology acceptance factors with use behaviour, this study analyses the importance of individuals’ belief and values. Structural equational modelling has been employed to test the proposed hypotheses using a sample of 422 smart home users. The analysis revealed the significance of the relationships between values and perceived technology-fit, while the technology acceptance factors had a strong correlation with use behaviour leading to satisfaction.
AB - Recent technological advances have contributed to the development of smart homes, embedded with artificial intelligence, which aim to provide tailored services to residents. Smart home technologies benefit people daily and improve the environment in the long-term perspective. Despite the great interest of the research community in smart homes, the adoption rate is still low. The purpose of this study is to develop the research model, which can explain the acceptance of smart homes by users. Along with the relationship of technology acceptance factors with use behaviour, this study analyses the importance of individuals’ belief and values. Structural equational modelling has been employed to test the proposed hypotheses using a sample of 422 smart home users. The analysis revealed the significance of the relationships between values and perceived technology-fit, while the technology acceptance factors had a strong correlation with use behaviour leading to satisfaction.
U2 - 10.1007/978-3-030-29374-1_25
DO - 10.1007/978-3-030-29374-1_25
M3 - Chapter in a book
SN - 9783030293734
VL - 11701
T3 - Lecture Notes in Computer Science
SP - 305
EP - 315
BT - I3E 2019: Digital Transformation for a Sustainable Society in the 21st Century
PB - Springer, Cham
ER -