Print Email Facebook Twitter Agent-based Modelling and Simulation for Circular Business Model Experimentation Title Agent-based Modelling and Simulation for Circular Business Model Experimentation Author Lange, K.P.H. (TU Delft Energie and Industrie) Korevaar, G. (TU Delft Energie and Industrie) Oskam, Inge (Hogeschool van Amsterdam) Nikolic, I. (TU Delft System Engineering) Herder, P.M. (TU Delft Applied Sciences) Faculty Applied Sciences Date 2021 Abstract The viability of novel network-level circular business models (CBMs) is debated heavily. Many companies are hesitant to implement CBMs in their daily practice, because of the various roles, stakes and opinions and the resulting uncertainties. Testing novel CBMs prior to implementation is needed. Some scholars have used digital simulation models to test elements of business models, but this this has not yet been done systematically for CBMs. To address this knowledge gap, this paper presents a systematic iterative method to explore and improve CBMs prior to actual implementation by means of agent-based modelling and simulation. An agent-based model (ABM) was co-created with case study participants in three Industrial Symbiosis networks. The ABM was used to simulate and explore the viability effects of two CBMs in different scenarios. The simulation results show which CBM in combination with which scenario led to the highest network survival rate and highest value captured. In addition, we were able to explore the influence of design options and establish a design that is correlated to the highest CBM viability. Based on these findings, concrete proposals were made to further improve the CBM design, from company level to network level. This study thus contributes to the development of systematic CBM experimentation methods. The novel approach provided in this work shows that agent-based modelling and simulation is a powerful method to study and improve circular business models prior to implementation. Subject Circular economyBusiness model experimentationAgent-based modellingIndustrial symbiosis networks To reference this document use: http://resolver.tudelft.nl/uuid:eb75ddbe-aa78-421f-a9ef-e3e700617a18 DOI https://doi.org/10.1016/j.rcradv.2021.200055 ISSN 2667-3789 Source Resources, Conservation and Recycling Advances, 12 Part of collection Institutional Repository Document type journal article Rights © 2021 K.P.H. Lange, G. Korevaar, Inge Oskam, I. Nikolic, P.M. Herder Files PDF 1_s2.0_S2667378921000055_main.pdf 2.34 MB Close viewer /islandora/object/uuid:eb75ddbe-aa78-421f-a9ef-e3e700617a18/datastream/OBJ/view