TY - GEN
T1 - Towards a Hybrid Model for the Diffusion of Innovation in Energy Communities
AU - Adu-Kankam, Kankam O.
AU - Camarinha-Matos, Luis M.
N1 - Funding Information:
Project CESME (Collaborative & Evolvable Smart Manufacturing Ecosystem and the Portuguese FCT program UIDB/00066/2020 (CTS ? Center of Technology and Systems) for providing financial support for this work.
Publisher Copyright:
© 2021, IFIP International Federation for Information Processing.
PY - 2021/7/1
Y1 - 2021/7/1
N2 - The need for comprehensive models to simulate the diffusion of innovations in communities or social systems has become eminent. Existing models such as the Diffusion of Innovation expound how ideas, products, or innovations gain acceptance and spread over time. Other analogous models, such as the Transtheoretical Model also claim that people do not change behaviours quickly and decisively. Instead, they change in a continuous and cyclical process of internal decision-making. Although these two models are used to address adoption, it may be observed that one addresses it from a behavioural point of view while the other from the characteristics of the innovation perspective. In this study, we propose and develop a hybrid model based on these two. We expect that a composite model with enhanced attributes can be deployed as a decision support tool to enhance the diffusion of innovations particularly within energy communities. The study sought to conduct a structural and contextual analysis of these models hoping to find reasonable grounds for merging them.
AB - The need for comprehensive models to simulate the diffusion of innovations in communities or social systems has become eminent. Existing models such as the Diffusion of Innovation expound how ideas, products, or innovations gain acceptance and spread over time. Other analogous models, such as the Transtheoretical Model also claim that people do not change behaviours quickly and decisively. Instead, they change in a continuous and cyclical process of internal decision-making. Although these two models are used to address adoption, it may be observed that one addresses it from a behavioural point of view while the other from the characteristics of the innovation perspective. In this study, we propose and develop a hybrid model based on these two. We expect that a composite model with enhanced attributes can be deployed as a decision support tool to enhance the diffusion of innovations particularly within energy communities. The study sought to conduct a structural and contextual analysis of these models hoping to find reasonable grounds for merging them.
KW - Behaviour change
KW - Diffusion of innovation model
KW - Energy communities
KW - Hybridization
KW - Transtheoretical model
UR - http://www.scopus.com/inward/record.url?scp=85112011243&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-78288-7_17
DO - 10.1007/978-3-030-78288-7_17
M3 - Conference contribution
AN - SCOPUS:85112011243
SN - 978-3-030-78287-0
T3 - IFIP Advances in Information and Communication Technology
SP - 175
EP - 188
BT - Technological Innovation for Applied AI Systems - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021, Proceedings
A2 - Camarinha-Matos, Luis M.
A2 - Ferreira, Pedro
A2 - Brito, Guilherme
PB - Springer
CY - Cham
T2 - 12th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2021
Y2 - 7 July 2021 through 9 July 2021
ER -