Received:
2017-04-13 | Accepted:
2017-06-10 | Published:
2017-09-29
Title
Cluster performance: an attempt to evaluate the Lithuanian case
Abstract
The article takes place in the research area of the ongoing European project ‘Cluster Development Med’ (Horizon 2020) regarding the innovation and technology in the sustainable development field. Authors suggest a model, which allows to identify the most successful clusters and make comparisons between and within them. The analysis defines where they perform a positive or negative trend in the area examined. The model embraces three dimensions of cluster activity, so called, “Resources, Activities, Processes”. They have been determined on the work of the Lithuanian association “Knowledge Economy Forum”, called “Cluster Analysis”. Data for practical evaluation purposes were obtained through two stage process. First, an interview on site with the coordinators of the Lithuanian clusters for data collection was done through a questionnaire survey, developed in collaboration with the Science and Innovation Agency of the Lithuanian Government. Secondly, the data have been aggregated by applying one of multi-criteria methods, specifically, Simple Additive Weighting method. Finally, the multi-criteria analysis results were used to estimate the efficiency of the clusters. The results were compared through suggested benchmarking. Suggested model can be used for evaluation of performance of different clusters.
Keywords
cluster, firm performance, cluster performance, performance measurement, Lithuania
JEL classifications
L25
, R10
URI
http://jssidoi.org/jesi/article/132
DOI
HAL
Pages
43-57
Funding
This research was supported by the project, which has received funding from the European Union's Horizon 2020 research and innovation programme European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme Marie Sklodowska-Curie Research and Innovation Staff Exchanges ES H2020-MSCA-RISE-2014 CLUSDEVMED (2015-2019) Grant Agreement Number 645730730
This is an open access issue and all published articles are licensed under a
Creative Commons Attribution 4.0 International License
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