A coordinator-driven consensus-reaching model for green technology utilisation rate determination

Abstract

Determining the green technology utilisation rate is the initial process of green building development. However, due to the different interest demands of stakeholders, it’s difficult to reach a consensus on the determination of the green technology utilisation rate. The social network-based consensus-reaching process (CRP) can help mitigate stakeholder discrepancies. As a result, we determine the green technology utilisation rate through the social network-based CRP. However, existing social network-based CRP methods assign weights to stakeholders from a single perspective, failing to meet the objectives of all involved parties. Additionally, these methods cannot guide the direction of opinion change, making them unsuitable for determining the green technology utilisation rate. Moreover, the cost measure during the CRP is often oversimplified to a single unit cost, which lacks precision. To address these limitations, we develop a coordinator-driven consensus-reaching model. In our model, stakeholders’ weights are assigned using two distinct methods, and a unique adjustment mechanism is designed to gradually guide opinions towards the desired outcome. We also separately measure the financial cost and time cost to obtain a more accurate result. Finally, a numerical example and several simulation experiments are conducted to demonstrate the effectiveness of our model.