Influential factors to residential building Occupants’ acceptance and adoption of smart energy technologies in Denmark

TY - JOUR

T1 - Influential factors to residential building Occupants’ acceptance and adoption of smart energy technologies in Denmark

AU - Billanes, Joy Dalmacio

AU - Enevoldsen, Peter

PY - 2022/12/1

Y1 - 2022/12/1

N2 - Although Smart Energy Technologies (SETs) are proven effective in reducing energy consumption and improving energy efficiency in buildings, adoption of these technologies remains low. Scholars argue that lack of willingness to adopt SETs could hinder the transition to SETs. To address this challenge, this study integrates the substantial literature about technology acceptance, and applied the Technology Acceptance Model (TAM) as the theoretical framework. The research model proposed consists of TAM, and five external factors which have been selected based on literature review. A survey-based method was used, sampling more than 3,000 residents from various cities across Denmark. The validated model includes examining the effects of TAM factors and external factors (e.g., attitudes, trust, knowledge, policy, social influence, and awareness) on Behavioural Intention (BI). The majority of the results show statistically significant effects on BI at p=

AB - Although Smart Energy Technologies (SETs) are proven effective in reducing energy consumption and improving energy efficiency in buildings, adoption of these technologies remains low. Scholars argue that lack of willingness to adopt SETs could hinder the transition to SETs. To address this challenge, this study integrates the substantial literature about technology acceptance, and applied the Technology Acceptance Model (TAM) as the theoretical framework. The research model proposed consists of TAM, and five external factors which have been selected based on literature review. A survey-based method was used, sampling more than 3,000 residents from various cities across Denmark. The validated model includes examining the effects of TAM factors and external factors (e.g., attitudes, trust, knowledge, policy, social influence, and awareness) on Behavioural Intention (BI). The majority of the results show statistically significant effects on BI at p=

KW - RESIDENTIAL BUILDINGS

KW - Smart home technologies

KW - Smart homes

KW - Technology acceptance

KW - Technology acceptance model

KW - energy efficiency

UR - http://www.scopus.com/inward/record.url?scp=85138995999&partnerID=8YFLogxK

U2 - 10.1016/j.enbuild.2022.112524

DO - 10.1016/j.enbuild.2022.112524

M3 - Journal article

SN - 0378-7788

VL - 276

JO - Energy and Buildings

JF - Energy and Buildings

M1 - 112524

ER -