TY - JOUR
T1 - Adoption of digital twins as a sustainable energy solution
T2 - Determinants to adoption in household
AU - Coelho, Joana
AU - Oliveira, Tiago
AU - Neves, Catarina
AU - Karatzas, Stylianos
N1 - info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04152%2F2020/PT#
https://doi.org/10.3030/101057779#
Coelho, J., Oliveira, T., Neves, C., & Karatzas, S. (2024). Adoption of digital twins as a sustainable energy solution: Determinants to adoption in household. Heliyon, 10(4), 1-14. Article E25782. Advance online publication. https://doi.org/10.1016/j.heliyon.2024.e25782 --- This work was supported by the European Union's Horizon Europe program, project: TwinAIR, Grant agreement ID: 101057779. We would also like to thank Fundação para a Ciência e a Technologia (FCT) regarding the program UIDB/04152/2020-Centro de Investigação em Gestão de Informação – MagIC (NOVA IMS).
PY - 2024/2/29
Y1 - 2024/2/29
N2 - Digital Twin (DT) consists of a recent technology that can enable sustainability. However, Digital Twins are still in early stages of adoption, especially in households, and so the determinants to this adoption have not yet been determined. The aim of this study is to fill this research gap through providing a conceptual model of the drivers to the adoption of Digital Twins in households and it's relation to well-being. This study is developed as a mixed-methods research. The model is produced qualitatively, based on literature discoveries and key findings from interviews with experts and possible consumers. Afterwards, the model was validated with data collected through a questionnaire with 149 respondents. Results show that a set of informational, social, environmental and utility factors can influence the intention to adopt Digital Twins as a sustainable energy solution, and consequently the perceived well-being.
AB - Digital Twin (DT) consists of a recent technology that can enable sustainability. However, Digital Twins are still in early stages of adoption, especially in households, and so the determinants to this adoption have not yet been determined. The aim of this study is to fill this research gap through providing a conceptual model of the drivers to the adoption of Digital Twins in households and it's relation to well-being. This study is developed as a mixed-methods research. The model is produced qualitatively, based on literature discoveries and key findings from interviews with experts and possible consumers. Afterwards, the model was validated with data collected through a questionnaire with 149 respondents. Results show that a set of informational, social, environmental and utility factors can influence the intention to adopt Digital Twins as a sustainable energy solution, and consequently the perceived well-being.
KW - Digital Twin
KW - Sustainable Energy Solutions
KW - Technology Adoption
KW - Mixed-methods
UR - http://www.scopus.com/inward/record.url?scp=85185318926&partnerID=8YFLogxK
UR - https://www.webofscience.com/wos/woscc/full-record/WOS:001183997400001
UR - https://doi.org/10.3030/101057779
U2 - 10.1016/j.heliyon.2024.e25782
DO - 10.1016/j.heliyon.2024.e25782
M3 - Article
SN - 2405-8440
VL - 10
SP - 1
EP - 14
JO - Heliyon
JF - Heliyon
IS - 4
M1 - E25782
ER -
