Abstract
The chapter provides answers to the research questions on whether innovation and financial performance in clustered companies differ from companies that are not part of any cluster. Specifically, it was examined whether the performance of companies in and outside institutionalised cluster organisations varies. The answers to these questions are ambiguous. Improvement in innovation performance was proved in the automotive, furniture, and packaging industries. The change in performance was assessed using the Malmquist index and its components. The impact on innovation in the industry was measured using the technological change component. The impact of various organisational measures on performance was quantified through technical efficiency change under both CRS and VRS. The possible link between innovation and financial performance and the effect of time lag on performance were also examined. There was no evidence of dependence between innovation and financial performance. This is probably related to the way in which innovation performance is measured through registered industrial property rights. Examination of time lag suggests a possible impact of the cluster on long-term performance in the engineering industry. A positive impact on scale efficiency was identified in the engineering and textile cluster.
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References
API. (2020). Statistiky – Stav čerpání z OP PIK. Agentura pro podnikání a inovace. https://www.agentura-api.org/wp-content/uploads/2020/12/statistika-oppik-23-12-2020.pdf
Bialic-Davendra, M. (2011). An investigation of a new concept of world-class clusters in Europe – A case study of the visegrad group of countries. Journal of Competitiveness, 3(2), 43–57.
Bisnode. (2019). MagnusWeb: Komplexní informace o firmách v ČR a SR. Bisnode. https://magnusweb.bisnode.cz
Branco, A., & Lopes, J. C. (2018). Cluster and business performance: Historical evidence from the Portuguese cork industry. Investigaciones de Historia Económica, 14(1), 43–53. https://doi.org/10/ggdkzm.
Cucculelli, M., & Storai, D. (2015). Family firms and industrial districts. Journal of Family Business Strategy, 6(4), 234–246. https://doi.org/10/gg98kx.
D’Aveni, R. A., & Ravenscraft, D. J. (1994). Economies of integration versus bureaucracy costs: Does vertical integration improve performance? Academy of Management Journal, 37(5), 1167–1206. https://doi.org/10/gg9ckf.
Damborský, M., & Wokoun, R. (2010). Lokalizační faktory malého a středního podnikání v podmínkách ekonomiky ČR. E+M Ekonomie a Management, 13(2), 32–43.
Foley, H. C., Freihaut, J., Hallacher, P., & Knapp, C. (2011). The greater Philadelphia innovation cluster for energy-efficient buildings: A new model for public-private partnerships. Research-Technology Management, 54(6), 42–48. https://doi.org/10/d99x87.
Frohlich, M. T., & Westbrook, R. (2001). Arcs of integration: An international study of supply chain strategies. Journal of Operations Management, 19(2), 185–200. https://doi.org/10/bwkw7q.
Hsieh-Sheng, C. (2011). The relationship between technology industrial cluster and innovation in Taiwan. Asia Pacific Management Review, 16(3), 277–288.
Huang, F., & Rice, J. (2013). Does open inovation work better in regional clusters? Australasian Journal of Regional Studies, 19(1), 85–120.
Islam, F. (2010). Socioeconomy of innovation and entrepreneurship in a cluster of SMEs in emerging economies. Competitiveness Review, 20(3), 267–278. https://doi.org/10/b223bw.
Krugman, P. (1991). Geography and trade. MIT Press.
Krželj Čolović, Z., Milić Beran, I., & Vrdoljak Raguž, I. (2016). The impact of clustering on the business performance of Croatian SMHEs. Economic Research-Ekonomska Istraživanja, 29(1), 904–913. https://doi.org/10/gfxx86.
Lan, W., & Zhangliu, W. (2012). Research on interactive learning, knowledge sharing and collective innovation in SMEs cluster. International Journal of Innovation, Management and Technology, 3(1), 24–29.
Lang, J. C. (2009). Cluster competitiveness: The six negative forces. Journal of Business and Management, 15(1), 73–92.
Lindqvist, G., Ketels, C., & Sölvell, Ö. (2012). The cluster initiative greenbook 2.0. Ivory Tower Publishers. http://www.clusterobservatory.eu/system/modules/com.gridnine.opencms.modules.eco/providers/getpdf.jsp?uid=c57a2f9f-aa59-4af8-a8f9-4fa99e95b355
Mohannak, K. (2007). Innovation networks and capability building in the Australian high-technology SMEs. European Journal of Innovation Management, 10(2), 236–251. https://doi.org/10/cmhcmw.
Nishimura, J., & Okamuro, H. (2011). R&D productivity and the organisation of cluster policy: An empirical evaluation of the Industrial Cluster Project in Japan. The Journal of Technology Transfer, 36(2), 117–144. https://doi.org/10/dc3zn2.
Parto, S. (2008). Innovation and economic activity: An institutional analysis of the role of clusters in industrializing economies. Journal of Economic Issues, 42(4), 1005–1030. https://doi.org/10/f3v4x5.
Pavelková, D. (2009). Klastry a jejich vliv na výkonnost firem. Grada.
Pavelková, D. (2013). Klastrové politiky a jejich vliv na rozvoj klastrů a klastrových organizací. Linde Praha.
Pavelková, D., Žižka, M., Homolka, L., Knápková, A., & Pelloneová, N. (2020). Do clustered firms outperform the non-clustered? Evidence of financial performance in traditional industries. Economic Research-Ekonomska Istraživanja, 34(1). https://doi.org/10.1080/1331677X.2021.1874460.
Pelloneová, N., & Žižka, Miroslav. (2019). Sources of Financing of Cluster Organisations in the Czech Republic. Conference proceedings from international scientific conference “The poprad economic and management forum 2019: Current trends and challenges in businesses management”, 30–41. http://www.manazmentpp.sk/wp-content/uploads/2019/10/PEMF_2019_Proceedings.pdf
Perry, M. (2010). Controversies in local economic development: Stories, strategies, solutions. Routledge.
Rydvalova, P., & Antlova, K. (2020). Vitality and continuity of family businesses. Journal of Business Economics and Management, 21(5), 1432–1450. https://doi.org/10/ghf8bd.
Shu-en, M., & Ming, N. (2007). Technology capability, marketing capability and network capability: Keys to enhancing competitiveness and improving performance. 2007 International Conference on Management Science and Engineering, 728–733. https://doi.org/10/b8c6cn
Štichhauerová, E., & Žižka, M. (2020a). A comparison of the trends in the factors of financial performance of companies in Czech clusters. Economic and Social Policy 2020, Ostrava.
Štichhauerová, E., & Žižka, M. (2020b). Impact of cluster organisations on financial performance in selected industries: Malmquist index approach. In S. Kapounek & H. Vránová (Eds.), 38th International conference on mathematical methods in economics (MME 2020). Conference proceedings (pp. 572–578). Mendel University in Brno.
Stichhauerova, E., Zizka, M., & Pelloneova, N. (2020). Comparison of the significance of clusters for increasing business performance. Journal of Competitiveness, 12(3), 172–189. https://doi.org/10/ghsxdv.
Tohmo, T. (2004). New developments in the use of location quotients to estimate regional input–output coefficients and multipliers. Regional Studies, 38(1), 43–54. https://doi.org/10/bwd4sn.
Tskalerou, M., & Katsavounis, S. (2013). Business clusters and knowledge management: Information flows and network concepts. In A. Green (Ed.), International conference on intellectual capital and knowledge management and organisational learning (pp. 632–637). Academic Conferences International Limited.
Won Park, Y., Amano, T., & Moon, G. (2012). Benchmarking open and cluster innovation: Case of Korea. Benchmarking: An International Journal, 19(4/5), 517–531. https://doi.org/10/gg9ckg.
Wu, S., Zhong, W., & Huang, Z. (2013). Routines, cluster and innovation. Information Technology Journal, 12(23), 7501–7505. https://doi.org/10/gg9ckh.
Zhang, D. (2013). The revival of vertical integration: Strategic choice and performance influences. Journal of Management and Strategy, 4(1), p1. https://doi.org/10/gg9ckd.
Žižka, M., & Pelloneová, N. (2019). Do clusters with public support perform better? Case study of Czech cluster organisations. Administratie Si Management Public, 33, 20–33. https://doi.org/10.24818/amp/2019.33-02.
Žižka, M., Valentová, V. H., Pelloneová, N., & Štichhauerová, E. (2018). The effect of clusters on the innovation performance of enterprises: Traditional vs new industries. Entrepreneurship and Sustainability Issues, 5(4), 780–794. https://doi.org/10/gg4b3j.
Žižka, M., Hovorková Valentová, V., & Štichhauerová, E. (2019). Evaluation of the efficiency of public support for cluster organisations in the Czech Republic. DANUBE: Law, Economics and Social Issues Review, 10(4), 299–320. https://doi.org/10.2478/danb-2019-0016.
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Zizka, M., Stichhauerova, E. (2021). Economic Impact of Clusters. In: Zizka, M., Rydvalova, P. (eds) Innovation and Performance Drivers of Business Clusters. Science, Technology and Innovation Studies. Springer, Cham. https://doi.org/10.1007/978-3-030-79907-6_9
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