SFeDu

Evaluation of cluster efficiency measurement tool

TERRA ECONOMICUS, , Vol. 14 (no. 3),

This study aims at verifying the validity of cluster efficiency measurement tool. In previous study benchmarking was employed (Tvaronavičienė et al., 2015) to compare the performance of participating clusters which would enable to improve their results by getting the information about their strengths and weaknesses over other clusters. A further comparison of data of four participating clusters was pursued while paying attention on the importance of three groups of criteria, which are activity, resources and processes, giving them different prominence. Two more values were added to previous study, one indicating the results when all three groups of indicators get the same weights and the other shows their efficiency when processes get the major part and the other two groups are equally relevant. There was a significant change in results when these conditions were applied showing the importance of literature and case analysis. Further analysis is needed to verify the validity of a cluster efficiency measurement tool as there were no previous attempts to assess cluster efficiency through benchmarking clusters performing in Lithuania. This study may give controversial results as the prominence to each group of criteria is given regarding to literature analysis as well as author‘s personal opinion. Limited number of clusters may influence the choice of the alternatively best ratio of three criteria characterizing the performance of clusters.


Keywords: cluster efficiency; benchmarking; case analysis; cluster performance

References:
  • About LITEK (2015). Retrieved from the LITEK website (http://www.litek.lt/naujienos.php?pg=news).
  • About us (2015). Retrieved from the BACC website (http://www.bacc.lt/).
  • About us (2015). Retrieved from the iVita website (http://www.i-vita.lt/en.html).
  • About Vilnius Film Cluster (2015). Retrieved from the Vilnius Film Cluster website (http://filmcluster.eu/).
  • Akoorie M.E.M. (2011). A challenge to Marshallian orthodoxy on industrial clustering // Journal of Management History, 17(4), pp. 451–470.
  • Bistrova J., Lace N. and Tvaronavičienė M. (2014). Corporate governance as a crucial factor in achieving sustainable corporate performance // Journal of systemics, cybernetics and informatics, 12(3), pp. 82–90.
  • Branten E. and Purju A. (2015). Cooperation projects between university and companies: process of formation and objectives of the stakeholders // Entrepreneurship and Sustainability Issues, 3(2), pp. 149–156.
  • Expósito-Langa M., Tomás-Miquel J.V. and Molina-Morales F.X. (2015). Innovation in clusters: exploration capacity, networking intensity and external resources // Journal of Organizational Change Management, 28(1), pp. 26–42.
  • Felice A. (2014). Measuring the social capabilities and the implication on innovation: Evidence from a special industrial cluster // Journal of Economic Studies, 41(6), pp. 907–928.
  • Fuschi D.L. and Tvaronavičienė M. (2016). A network based business partnership model for SMEs management // Entrepreneurship and sustainability issues, 3(3), pp. 282–289.
  • Hsu M., Lai Y. and Lin F. (2014). The impact of industrial clusters on human resource and firms performance // Journal of Modelling in Management, 9(2), pp. 141–159.
  • Ignatavičius R., Tvaronavičienė M. and Piccinetti L. (2015). Sustainable development through technology transfer networks: case of Lithuania // Journal of Security and Sustainability Issues, 4(3), pp. 261–267.
  • Karaev A., Lenny Koh S.C. and Szamosi L.S. (2007). The cluster approach and SME competitiveness: a review // Journal of Manufacturing Technology Management, 18(7), pp. 818–835.
  • Lace N., Buldakova N. and Rumbinaitė G. (2015). Organizational creativity as a driving force for company’s innovative development // Entrepreneurship and Sustainability Issues, 3(2), pp. 137–148.
  • Laužikas M., Tindale H., Bilota A. and Bielousovaitė D. (2015). Contributions of sustainable start-up ecosystem to dynamics of start-up companies: the case of Lithuania // Entrepreneurship and Sustainability Issues, 3(1), pp. 8–24.
  • Mentel G., Szetela B. and Tvaronavičienė M. (2016).Qualifications of managers vs. effectiveness of investment funds in Poland // Economics & sociology: journal of scientific papers, 9(2), pp. 126–137.
  • OECD (2001). Innovative Clusters.Drivers of National Innovative Systems, Enterprise, Industry and Services. Paris: OECD Publications.
  • Podvezko V. (2011). The comparative analysis of MCDA methods SAW and COPRAS // Inzinerine Ekonomika-Engineering Economics, 22(2), pp. 134–146.
  • Porter M. (1990). The Competitive Advantage of Nations.New York: The Free Press.
  • Porter M. (1998). Clusters and the new economy of competition // Harvard Business Review, 6(6), pp.77–91.
  • Raudeliūnienė J., Stadnik B. and Kindarytė R. (2016). Knowledge appliance process: theoretical and practical evaluation aspects // Entrepreneurship and Sustainability Issues, 3(4), pp. 368–379.
  • Rezk M.R.A., Ibrahim H.H., Tvaronavičienė M., Sakr M.M. and Piccinetti L. (2015). Measuring of innovation activities in Egypt: the case of industry // Entrepreneurship and sustainability issues, 3(1), pp. 47–55.
  • Tvaronavičienė M. (2016). Start-ups across the EU: if particular tendencies could be traced // Entrepreneurship and sustainability issues, 3(3), pp. 290–298.
  • Tvaronavičienė M. and Černevičiūtė J. (2015). Technology transfer phenomenon and its impact on sustainable development // Journal of Security and Sustainability Issues, 5(1), pp. 87–97.
  • Tvaronavičienė M., Razminienė K. and Piccinetti L. (2015a). Cluster efficiency study through benchmarking // Enterpreneurship and Sustainability Issues, 3(2), pp. 120–127.
  • Tvaronavičienė M., Razminienė K. and Piccinetti L. (2015b). Aproaches towards cluster analysis // Economics & sociology: journal of scientific papers, 8(1), pp. 19–27.
Publisher: Southern Federal University
Founder: Southern Federal University
ISSN: 2073-6606