WHAT DO MEMBERS EXPECT FROM CLUSTER MEMBERSHIP? THE CASE OF THE CROATIAN WOOD CLUSTER

dc.contributor.authorAnić, Ivan-Damir
dc.contributor.authorRašić, Ivana
dc.contributor.authorAralica, Zoran
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2022-06-07T07:48:06Z
dc.date.available2022-06-07T07:48:06Z
dc.description.abstractThe purpose of this paper is to investigate the composition of services and firms in a wood industrial cluster based on members’ interests and examine the differences among the groups. Since firms have very different interests when joining the cluster, this paper develops the taxonomy of cluster members based on their expectations regarding services and investigates the differences and similarities among groups in firms’ characteristics, their resources, innovative activities, the performance of firms, and perceived cluster performance. The data collected from members of the Croatian wood cluster were explored using factor and cluster analyses. The results revealed three categories of services that the cluster should provide: 1) lobbying; 2) facilitation of networking and cooperation; and 3) supporting joint logistics and joint access to the market. Four groups of members were identified, named as 1) cooperation and lobbying-oriented; 2) market-oriented; 3) purely lobbying-oriented; 4) purely networking and cooperation-oriented. Group 1 (44% of the sample) scores high on all categories of services. It contains more firms that innovate and more high-growth firms. Members in this group evaluate the effects of the cluster better than the other two groups. The study offers new evidence on the alignment of cluster services with the interests of cluster members, indicating different levels of performance among groups in a small cluster in traditional forest-based industries. The findings can help managers not only in the Croatian wood cluster but also in other similar small cluster organisations in Central Eastern and South-Eastern Europe to use their limited resources more efficiently and enhance the competitiveness and performance of the firms/sector.en
dc.formattext
dc.identifier.doi10.15240/tul/001/2022-2-004
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/164986
dc.language.isoen
dc.publisherTechnická Univerzita v Libercics
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisher.abbreviationTUL
dc.relation.isbasedonAbdesslem, A. B., & Chiappini, R. (2016). Cluster Policy and Firm Performance: A Case Study of the French Optic/Photonic Industry (GREDEG Working Paper No. 2016-26). Nice: University of Nice Sophia Antipolis.
dc.relation.isbasedonAlbahari, A., Klofsten, M., & Rubio-Romero, J. C. (2019). Science and Technology Parks: a study of value creation for park tenants. The Journal of Technology Transfer, 44(4), 1256–1272. https://doi.org/10.1007/s10961-018-9661-9
dc.relation.isbasedonAndadari, R. K., de Groot, H., & Rietveld, P. (2012). Production Externalities in the Wood Furniture Industry in Central Java (Discussion Paper No. TI 2012-072/3). Amsterdam: Tinbergen Institute.
dc.relation.isbasedonAndersson, T., Serger, S. S., Sörvik, J., & Hansson, E. W. (2004). The Cluster Policies Whitebook. Malmo: IKED – International Organisation for Knowledge Economy and Enterprise Development.
dc.relation.isbasedonAnić, I.-D., Corrocher, N., Morrison, A., & Aralica, Z. (2019). The development of competitiveness clusters in Croatia: a survey-based analysis. European Planning Studies, 27(11), 2227–2247. https://doi.org/10.1080/09654313.2019.1610726
dc.relation.isbasedonAranguren, M. J., de la Maza, X., Parrilli, M. D., Vendrell-Herrero, F., & Wilson, J. R. (2013). Nested Methodological Approaches for Cluster Policy Evaluation: An Application to the Basque Country. Regional Studies, 48(9), 1547–1562. https://doi.org/10.1080/00343404.2012.750423
dc.relation.isbasedonBarbero, J. L., Casillas, J. C., Ramos, A., & Guitar, S. (2012). Revisiting incubation performance: How incubator typology affects results. Technological Forecasting & Social Change, 79(5), 888–902. https://doi.org/10.1016/j.techfore.2011.12.003
dc.relation.isbasedonCroatian Bureau of Statistics. (2012–2020). Statistical Yearbooks 2012–2020. Croatia.
dc.relation.isbasedonCroatian government. (2011). Strategy of cluster development in Croatia 2011–2020. Retrieved January 6, 2021, from http://europski-fondovi.eu/sites/default/files/dokumenti/Strategija_razvoja_klastera.pdf
dc.relation.isbasedonCroatian wood cluster. (2020a). Coronavirus Crisis: The Coronavirus Outbreak Seriously Threatens the Wood Processing Industry. Retrieved April 8, 2022, from https://www.drvniklaster.hr/activities/coronavirus-crisis-the-coronavirus-outbreak-seriously-threatens-the-wood-processing-industry/
dc.relation.isbasedonCroatian wood cluster. (2020b). List of Members. Retrieved April 8, 2022, from https://www.drvniklaster.hr/membership/list-of-members/
dc.relation.isbasedonCroatian wood cluster. (2014). Croatian Wood Cluster Annual Report. Zagreb: Croatian wood cluster. Retrieved December 28, 2021, from https://www.drvniklaster.hr/activities/annual-report/
dc.relation.isbasedonEisingerich, A. B., Bell, S. J., & Tracey, P. (2010). How can clusters sustain performance? The role of network strength, network openness, and environmental uncertainty. Research Policy, 39(2), 239–253. https://doi.org/10.1016/j.respol.2009.12.007
dc.relation.isbasedonEuropean Commission. (2013). The Role of Clusters in Smart Specialisation Strategies. Luxembourg: Publications Office of the European Union.
dc.relation.isbasedonEuropean Cluster collaboration platform. (2020). Croatian Wood Cluster. Retrieved January 6, 2021, from https://www.clustercollaboration.eu/cluster-organisations/croatian-wood-cluster
dc.relation.isbasedonEurostat. (2020). Structural business statistics. Retrieved January 6, 2021, from https://ec.europa.eu/eurostat/web/structural-business-statistics/data/main-tables
dc.relation.isbasedonField, A. (2009). Discovering statistics using SPSS. Los Angeles, CA: Sage.
dc.relation.isbasedonFontagné, L., Koenig, P., Mayneris, F., & Poncet, S. (2010). Clustering the Winners: the French Policy of Competitiveness Clusters (CEPII Working Paper no. 2010-18). Paris: CEPII. Retrieved January 6, 2021, from http://www.cepii.fr/CEPII/en/publications/wp/abstract.asp?NoDoc=2649
dc.relation.isbasedonGrzegorzewska, E., Niziałek, I., & Olkowicz, M. (2014). The Impact of Clustering on the Innovativeness of Furniture Industry. Management and Production Engineering Review, 5(2), 12–19. https://doi.org/10.2478/mper-2014-0012
dc.relation.isbasedonHair, J., Black, W. C., Babin, B. J., & Anderson, R. E. (2009). Multivariate Data Analysis. Hoboken, NJ: Prentice Hall.
dc.relation.isbasedonHazley, C. (2000). Forest-based and related industries of the European Union. Industrial districts, clusters and agglomerations. Helsinki: ETLA, The Research Institute of the Finnish Economy.
dc.relation.isbasedonHervás-Oliver, J. L., & Albors-Garrigós, J. (2007). Do clusters capabilities matter? An empirical application of the resource-based view in clusters. Entrepreneurship & Regional Development, 19(2), 113–136. https://doi.org/10.1080/08985620601137554
dc.relation.isbasedonHsieh, P. F., Lee, C. S., & Ho, J. (2012). Strategy and process of value creation and appropriation in service clusters. Technovation, 32(7–8), 430–439. https://doi.org/10.1016/j.technovation.2011.03.003
dc.relation.isbasedonHutcheson, G., & Sofroniou, N. (1999). The Multivariate Social Scientist. London: Sage.
dc.relation.isbasedonJohnson, A. R., & Wichern, D. W. (1992). Applied Multivariate Statistical Analysis. New York, NY: Prentice Hall.
dc.relation.isbasedonKersan-Škabić, I. (2014). Croatian Wood Industry – clusters, competitiveness, and perspectives of development in the framework of European Union membership. Poslovna izvrsnost, 8(2), 57–76.
dc.relation.isbasedonKhanna T., Gulati R., & Nohria N. (1998). The Dynamics of Learning Alliances: Competition, Cooperation, and Relative Scope. Strategic Management Journal, 19(3), 193–210.
dc.relation.isbasedonKonstantynova, A., & Lehmann, T. (2017). Cluster Activities in Different Institutional Environments. Case Studies of ICT-Clusters from Austria, Germany, Ukraine, and Serbia. Administrative Sciences, 7(2), 11. https://doi.org/10.3390/admsci7020011
dc.relation.isbasedonLavie, D. (2007). Alliance Portfolios and Firm Performance: A Study of Value Creation and Appropriation in the US Software Industry. Strategic Management Journal, 28(12), 1187–1212. https://doi.org/10.1002/smj.637
dc.relation.isbasedonLazzeretti, L., Sedita, S. R., & Caloffi, A. (2014). Founders and disseminators of cluster research. Journal of Economic Geography, 14(1), 21–43.
dc.relation.isbasedonLindqvist, G., Ketels, C., & Sölvell, Ö. (2013). The Cluster Initiative Greenbook 2.0. Stockholm: Ivory Tower Publishers.
dc.relation.isbasedonMaffioli, A., Pietrobelli, C., & Stucchi, R. (2016). The Impact Evaluation of Cluster Development Programs Methods and Practices. New York, NY: Inter-American Development Bank.
dc.relation.isbasedonMarshall, A. (1920). Principles of Economics. London: Macmillan.
dc.relation.isbasedonMartin, P., Mayer, T., & Mayneris, F. (2011). Public support to clusters: A firm level study of French “Local Productive Systems”. Regional Science and Urban Economics, 41(2), 108–123. https://doi.org/10.1016/j.regsciurbeco.2010.09.001
dc.relation.isbasedonMeyer-Stamer J., & Harmes-Liedtke, U. (2005). How to Promote Clusters (Working Paper No. 08). Duisburg: Mesopartner Partnergesellschaft.
dc.relation.isbasedonMrosek, T., Assmann, M., Kies, Allen, S. D., & Schulte, A. (2010). A Framework for Stakeholder Analysis of Forest and Wood-Based Industry Clusters – Case Study at the State of North Rhine-Westphalia, Germany. The Open Forest Science Journal, 3(1), 23–37.
dc.relation.isbasedonNg, B. K., Chandran, V. G. R., & Kanagasundram, T. (2012). Technological knowledge, learning and linkages in the wooden furniture industry in Malaysia: a spatial innovation perspective. Asian Journal of Technology Innovation, 20(2), 187–200. https://doi.org/10.1080/19761597.2012.726417
dc.relation.isbasedonObadić, A., & Tijanić, L. (2014). Multivariate analysis of the Croatian clusters. Economic Research – Ekonomska Istraživanja, 27(1), 120–133. https://doi.org/10.1080/1331677X.2014.947134
dc.relation.isbasedonPecze, M. (2019). The benefits of membership in policy-stimulated clusters in Hungary. European Planning Studies, 28(8), 1493–1512. https://doi.org/10.1080/09654313.2019.1673322
dc.relation.isbasedonPerry, M. (2007). Seeing trees and forests: A comparative evaluation of business clusters and national industry associations in the New Zealand Forest sector. Innovation, 9(1), 46–61. https://doi.org/10.5172/impp.2007.9.1.46
dc.relation.isbasedonPikul-Biniek, J. (2009). An insight into forestry-wood clusters. Drewno – wood, 52(181), 93–97.
dc.relation.isbasedonPorter, M. E. (1998). Clusters and competition: new agendas for companies, governments, and institutions. In M. E. Porter (Ed.), On Competition (pp. 155–196). New York, NY: Free Press.
dc.relation.isbasedonPorter, M. E. (2000). Location, competition and economic development: Local clusters in the global economy. Economic Development Quarterly, 14(1), 15–31. https://doi.org/10.1177/089124240001400105
dc.relation.isbasedonPoslovna Hrvatska. (n.d.). Retrieved January 6, 2021, from http://www.poslovnahrvatska.hr
dc.relation.isbasedonPrim, A. L., Amal, M., & Carvalho, L. (2016). Regional cluster, innovation and export performance: An empirical study. Brazilian Administration Review, 13(2), 2–26. https://doi.org/10.1590/1807-7692bar2016160028
dc.relation.isbasedonRašić Bakarić, I. (2017). The impact of cluster networking on business performance of Croatian wood cluster members. Croatian Review of Economic, Business and Social Statistics (CREBSS), 3(2), 39–61. https://doi.org/10.1515/crebss-2017-0008
dc.relation.isbasedonRatinho, T., & Henriques, E. (2010). The role of science parks and business incubators in converging countries: Evidence from Portugal. Technovation, 30(4), 278–290. https://doi.org/10.1016/j.technovation.2009.09.002
dc.relation.isbasedonShaver, J. M., & Flyer, F. (2000). Agglomeration economics, firm heterogeneity, and foreign direct investment in the United States. Strategic Management Journal, 21(12), 1175–1193. https://doi.org/10.1002/1097-0266(200012)21:12<1175
dc.relation.isbasedonSchretlen, J. H., Dervojeda, K., Jansen, W., & Schaffmeister, B. (2011). Uncovering excellence in cluster management (Report). Amsterdam: PwC. Retrieved January 6, 2021, from https://www.pwc.com/gx/en/psrc/pdf/cluster_management.pdf
dc.relation.isbasedonSölvell, Ö., Lindqvist, G., & Ketels, C. (2003). The Cluster Initiative Greenbook. Stockholm: Ivory Tower Publishers.
dc.relation.isbasedonStojčić, N., Anić, I. D., & Aralica, Z. (2019). Do firms in clusters perform better? Lessons from wood-processing industries in new EU member states. Forest Policy and Economics, 109, 102043. https://doi.org/10.1016/j.forpol.2019.102043
dc.relation.isbasedonStrøjer, M. E., Smith, V., & Dilling-Hansen, M. (2003). Industrial Clusters, Firm Location and Productivity – Some Empirical Evidence for Danish Firms (Working Paper No. 03-26). Aarhus: Aarhus School of Business.
dc.relation.isbasedonTödtling, F., & Trippl, M. (2004). Like Phoenix from the Ashes? The Renewal of Clusters in Old Industrial Areas. Urban Studies, 41(5–6), 1175–1195. https://doi.org/10.1080/00420980410001675788
dc.relation.isbasedonUkrainski, K., & Varblane, U. (2005). Sources of innovation in the Estonian forest and wood cluster (Working Paper No. 36). Tartu: University of Tartu, Faculty of Economics and Business Administration.
dc.relation.isbasedonWennberg, K., & Lindqvist, G. (2008). How do entrepreneurs in clusters contribute to economic growth? (SSE/EFI Working Paper Series in Business Administration No 2008:3). Stockholm: Stockholm School of Economics. Retrieved January 6, 2021, from https://core.ac.uk/download/pdf/6407266.pdf
dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectwood industrial clusteren
dc.subjectindustrial clusteren
dc.subjectcluster organisationen
dc.subjectcluster servicesen
dc.subject.classificationL14
dc.subject.classificationL21
dc.subject.classificationL23
dc.subject.classificationL26
dc.subject.classificationL68
dc.subject.classificationL73
dc.titleWHAT DO MEMBERS EXPECT FROM CLUSTER MEMBERSHIP? THE CASE OF THE CROATIAN WOOD CLUSTERen
dc.typeArticleen
local.accessopen
local.citation.epage74
local.citation.spage59
local.facultyFaculty of Economics
local.filenameEM_2_2022_4
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue2
local.relation.volume25
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
EM_2_2022_04.pdf
Size:
470.83 KB
Format:
Adobe Portable Document Format
Description:
článek
Collections