| Title |
A comprehensive minimum cost consensus model for large scale group decision making for circular economy measurement |
| ID_Doc |
4275 |
| Authors |
Rodríguez, RM; Labella, A; Nuñez-Cacho, P; Molina-Moreno, V; Martínez, L |
| Title |
A comprehensive minimum cost consensus model for large scale group decision making for circular economy measurement |
| Year |
2022 |
| Published |
|
| DOI |
10.1016/j.techfore.2021.121391 |
| Abstract |
Since the first report on the Circular Economy (CE) appeared in 2013, there has been an explosion of interest in the subject by society and the business world. Thus, a base of academic literature has been developed, seeking the establishment of principles that serve as a theoretical foundation for the concept of CE. Governments demand to know how organizations are evolving in the transition towards the new production model. However, despite the efforts of researchers and companies to develop effective measurement systems, it is not easy to decide which aspects to measure, nor to determine the degree of intensity in which an organization implements the CE model. The measurement proposals combine different methodologies that are costly and time consuming procedures. We propose a comprehensive minimum cost consensus model for large scale group decision making, in which the initial experts' preferences are automatically adjusted to obtain the measurement and cost of indicators, so that they might agree on the measurements implemented. The main aim of this research is not only to provide a quick, useful and correct method for measuring the CE, but also to show its correctness, advantages and usefulness by comparing its performance with a real case. |
| Author Keywords |
Circular economy; Decision making; Consensus reaching process; Minimum cost; Large scale group decision making |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Social Science Citation Index (SSCI) |
| EID |
WOS:000729415700012 |
| WoS Category |
Business; Regional & Urban Planning |
| Research Area |
Business & Economics; Public Administration |
| PDF |
https://doi.org/10.1016/j.techfore.2021.121391
|