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Cluster performance: an attempt to evaluate the Lithuanian case

Author

Listed:
  • Salvatore Monni

    (ROMA TRE - Università degli Studi Roma Tre = Roma Tre University)

  • Francesco Palumbo

    (ROMA TRE - Università degli Studi Roma Tre = Roma Tre University)

  • Manuela Tvaronavičienė

    (Vilnius Gediminas Technical University)

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.

Suggested Citation

  • Salvatore Monni & Francesco Palumbo & Manuela Tvaronavičienė, 2017. "Cluster performance: an attempt to evaluate the Lithuanian case," Post-Print hal-01724078, HAL.
    • Handle: RePEc:hal:journl:hal-01724078
    DOI: 10.9770/jesi.2017.5.1(4)
    Note: View the original document on HAL open archive server: https://hal.science/hal-01724078
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    References listed on IDEAS

    as
    1. Salvatore Monni & Alessandro Spaventa, 2009. "Cluster e distretti tecnologici: modelli e politiche," ARGOMENTI, FrancoAngeli Editore, vol. 2009(26), pages 71-98.
    2. Kenneth Arrow, 1962. "Economic Welfare and the Allocation of Resources for Invention," NBER Chapters, in: The Rate and Direction of Inventive Activity: Economic and Social Factors, pages 609-626, National Bureau of Economic Research, Inc.
    3. Abdullahi Ahmed & Danny McGough & Monica Mateo-Garcia, 2017. "Testing innovative technologies for retrofitting: Coventry University as a living lab," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 4(3), pages 257-270, March.
    4. Andrea Morrison & Roberta Rabellotti & Lorenzo Zirulia, 2013. "When Do Global Pipelines Enhance the Diffusion of Knowledge in Clusters?," Economic Geography, Taylor & Francis Journals, vol. 89(1), pages 77-96, January.
    5. Maskell, Peter & Malmberg, Anders, 1999. "Localised Learning and Industrial Competitiveness," Cambridge Journal of Economics, Cambridge Political Economy Society, vol. 23(2), pages 167-185, March.
    6. Michael E. Porter, 2000. "Location, Competition, and Economic Development: Local Clusters in a Global Economy," Economic Development Quarterly, , vol. 14(1), pages 15-34, February.
    7. Salvatore Monni & Alessandro Spaventa, 2007. "What Next? How the Internationalisation Process Might Lead to the Dissolution of Veneto’s Low-Technology Industrial Districts," Rivista di Politica Economica, SIPI Spa, vol. 97(4), pages 171-218, July-Agou.
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    Cited by:

    1. Xiu SHI & Rui JING & Guang-ming HOU & Jun-peng WANG, 2019. "Network Position Advantage and Technological Innovation of China’s New Energy Vehicle Based on the Perspective of Network Theory," Sustainability, MDPI, vol. 11(7), pages 1-18, April.
    2. Piotr Trąpczyński & Łukasz Puślecki & Michał Staszków, 2018. "Determinants of Innovation Cooperation Performance: What Do We Know and What Should We Know?," Sustainability, MDPI, vol. 10(12), pages 1-32, November.
    3. Gloria Aparicio & Txomin Iturralde & Ana Vilma Rodríguez, 2023. "Developments in the knowledge-based economy research field: a bibliometric literature review," Management Review Quarterly, Springer, vol. 73(1), pages 317-352, February.

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    More about this item

    Keywords

    cluster performance; firm performance; cluster; performance measurement; Lithuania;
    All these keywords.

    JEL classification:

    • L25 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Firm Performance
    • R10 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General Regional Economics - - - General

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