TY - JOUR
T1 - What’s stopping the waste-treatment industry from adopting emerging circular technologies? An agent-based model revealing drivers and barriers
AU - Farahbakhsh, Sia
AU - Snellinx, Stien
AU - Mertens, Anouk
AU - Belderbos, Edward
AU - Bourgeois, Liselot
AU - Van Meensel, Jef
N1 - © 2022 The Author(s).
PY - 2023/3
Y1 - 2023/3
N2 - Many new circular economy technologies are gaining momentum, yet research on the complexity of adoption decisions driven by uncertainties, both at technology and ecosystem level, is lacking. In the present study, an agent-based model was developed to study factors that influence the adoption of emerging circular technologies. The case of the waste treatment industry was chosen, specifically its (non-) adoption of the so-called “Volatile Fatty Acid Platform”, a circular economy technology that facilitates both the valorization of organic waste into high-end products as well as their sale on global markets. Model results show adoption rates under 60% due to effects of subsidies, market growth, technological uncertainty and social pressure. Furthermore, the conditions were revealed under which certain parameters have the most effect. An agent-based model enabled use of a systemic approach to reveal the mechanisms of circular emerging technology innovation that are most relevant for researchers and waste treatment stakeholders.
AB - Many new circular economy technologies are gaining momentum, yet research on the complexity of adoption decisions driven by uncertainties, both at technology and ecosystem level, is lacking. In the present study, an agent-based model was developed to study factors that influence the adoption of emerging circular technologies. The case of the waste treatment industry was chosen, specifically its (non-) adoption of the so-called “Volatile Fatty Acid Platform”, a circular economy technology that facilitates both the valorization of organic waste into high-end products as well as their sale on global markets. Model results show adoption rates under 60% due to effects of subsidies, market growth, technological uncertainty and social pressure. Furthermore, the conditions were revealed under which certain parameters have the most effect. An agent-based model enabled use of a systemic approach to reveal the mechanisms of circular emerging technology innovation that are most relevant for researchers and waste treatment stakeholders.
KW - Agent-based modeling
KW - Circular economy
KW - Decision-making
KW - Emerging technologies
KW - Technology diffusion
KW - Waste-treatment industry
UR - https://www.mendeley.com/catalogue/68daef3a-50cf-3802-8bdb-6c0d9f7f8c9e/
U2 - 10.1016/j.resconrec.2022.106792
DO - 10.1016/j.resconrec.2022.106792
M3 - Article
C2 - 36874226
SN - 0921-3449
VL - 190
JO - Resources, Conservation and Recycling
JF - Resources, Conservation and Recycling
M1 - 106792
ER -