%0 Conference Proceedings
%T Smart Home Technology Acceptance: An Empirical Investigation
%+ Newcastle University Business School
%A Marikyan, Davit
%A Papagiannidis, Savvas
%A Alamanos, Eleftherios
%Z Part 5: Smart Cities and Smart Homes
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 18th Conference on e-Business, e-Services and e-Society (I3E)
%C Trondheim, Norway
%Y Ilias O. Pappas
%Y Patrick Mikalef
%Y Yogesh K. Dwivedi
%Y Letizia Jaccheri
%Y John Krogstie
%Y Matti Mäntymäki
%I Springer International Publishing
%3 Digital Transformation for a Sustainable Society in the 21st Century
%V LNCS-11701
%P 305-315
%8 2019-09-18
%D 2019
%R 10.1007/978-3-030-29374-1_25
%K Technology acceptance model
%K Smart home technology
%K Smart technology
%K Use behaviour
%Z Computer Science [cs]
%Z Computer Science [cs]/Networking and Internet Architecture [cs.NI]Conference papers
%X 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.
%G English
%Z TC 6
%Z WG 6.11
%2 https://inria.hal.science/hal-02510132/document
%2 https://inria.hal.science/hal-02510132/file/I3E2019_paper_16.pdf
%L hal-02510132
%U https://inria.hal.science/hal-02510132
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC6
%~ IFIP-WG6-11
%~ IFIP-I3E
%~ IFIP-LNCS-11701