Clusters in Transition to Circular Economy

to the circular economy are considered. Clusters are viewed as a
network where different institutions, enterprises, and research centres
are connected to share their knowledge and resources for better
results of their performance. Efficient use of resources can be
achieved in such networks through involvement in the circular
economy. Clusters with their resources and knowledge as
contributors in transition to a circular economy are analysed in this
paper. The paper aims at literature analysis where clusters and
circular economy are overviewed. The links between these two
notions are traced, and the relation of clusters in transition to a
circular economy is verified through the application of several multicriteria decision-making and mathematics-based information
analysis methods. Scientific literature analysis works for the
identification of the main concepts and definition of the object. The
qualitative and quantitative analysis employs multi-criteria decisionmaking (MCDM) methods (SAW, TOPSIS) and regression analysis.
A tool that enables verification of relation between clusters and
transition to the circular economy was employed using these
methods. The findings suggest that the tool used in the research can
be applied when the relation of clusters and transition to a circular
economy is being traced. The paper suggests experts' selection
through their work experience with clusters and/or circular economy
and their evaluation for certain clusters in transition to a circular
economy set of criteria. The zero values of some indicators were
eliminated by mathematically recalculating the weights so that
distortion of the results after the application of MCDM methods is
avoided. The results of MCDM methods application in regression
analysis show that there is a possible relationship between clusters
and transition to a circular economy.