Clusters as absorbers and diffusers of knowledge

• Autorzy: Barbara Jankowska , Maciej Pietrzykowski
• Języki publikacji: EN

Abstrakty

EN

The last two decades have been characterized by rapid developments in networking and clustering. The first clusters emerged spontaneously, led by internal forces oriented towards competition. Temporary clusters are much more dynamic, searching for other sources of competitive advantage, and cross national borders. This paper is an attempt to identify the effects of knowledge spillovers and knowledge transfer within regional business networks, especially business clusters. These effects are associated with the innovations which appear within such networks and clusters. The paper indicates those barriers and solutions that support innovativeness within the networks under study. Knowledge transfer within business networks that shape the innovative environment in the Wielkopolska region has been described using both a theoretical and practical approach. The findings and conclusions of the research provide an opportunity to increase business efficiency within business networks. (original abstract)

Słowa kluczowe

EN

Business cluster; Innovations; Knowledge transfer; Knowledge management

PL

Klastry; Innowacje; Transfer wiedzy; Zarządzanie wiedzą

• Czasopismo: The Poznań University of Economics Review
• Rocznik: 2013
• Tom: 13
• Numer: nr 1
• Strony: 68--88

Twórcy

autor

Barbara Jankowska

• Poznań University of Economics, Poland

autor

Maciej Pietrzykowski

• Poznań University of Economics, Poland

Bibliografia

• Basant, R., 2002, Knowledge Flows and Industrial Clusters: An analytical Review of Literature, East-West Center Working Papers, no. 40, East-West Center, Honolulu, Hawaii, February.
• Bozemann B., Sarewitz, D., Feinson, S., Foladori G., Gaughan, M., Gupta, ?., Sampat, B., Zachary, G., 2003, Knowledge Flows and Knowledge Collectives: Understanding The Role of Science and Technology Policies in Development, Synthesis Report on the Findings off a Project for the Global Inclusion Program of the Rockefeller Foundation, Center for Science, Policy and Outcomes, Columbia University, New York, June, http://www.cspo. org/products/rocky/CSPO_Rockefeller_Vol2.pdf [access: 14.09.2010].
• Crespi, G., Criscuolo, Ch., Haskel, J.E., Slaughter, M., 2008, Productivity Growth, Knowledge Flows and Spillovers, NBER Working Paper Series 13959, National Bureau of Economic Research, Cambridge, Massachusetts, April.
• European Commission, Enterprise Directorate General, 2003, Enal Report of the Expert Group on Enterprise Clusters andNetworL·, European Commission, Enterprise Directorate General, Brussels, http://www.dpt.gov.tr/bgyu/abbp/italya/docs/6.Toolbox/13. Supporting_documents/l.Cluster_methodologies_casoni/2.Additional_doc_2/3.EU_ final_rep._ExpGroup_Clusters.pdf [access: 14.09.2010].
• European Commission, 2006, Delivering on the Modernization Agenda for Universities: Education, Research and Innovation, Communication from the Commission to the Council and the European Parliament, COM (2006) 208, European Commission, Brussels, 10 May, http://ec.europa.eu/education/policies/2010/doc/comuniv2006_en.pdf [access: 14.09.2010].
• European Commission, Enterprise and Industry Directorate General, 2007, Innovation Clusters in Europe: a Statistical Analysis and Overview of Current Policy Support, European Commission, Enterprise and Industry Directorate General, Brussels, http://www.proinno-europe.eu/admin/uploaded_documents/innovation_clusters_in_europe.pdf [access: 14.09.2010].
• European Commission, 2007a, Green Paper The European Research Area: New Perspectives, COM (2007) 161 final, European Commission, Brussels, 4 April, http://ec.europa.eu/research/era/pdf/era_gp_final_en.pdf [access: 14.09.2010].
• Evers, H.D, 2008, Knowledge Hubs and Knowledge Clusters: Designing Knowledge Architecture for Development, ZEF Working Paper Series, Center for Development Research (ZEF), University of Bonn, Bonn.
• Fallah, M.H., Sherwat, I., 2004, Knowledge Spillovers and Innovation in Technological Clusters, paper presented at IAMOT conference, April, Washington, DC, http://www.iamot.org/ conference/index.php/ocs/4/paper/viewFile/583/95 [access: 14.09.2010].
• Greek P.E., Tuli D.S., Album G., 1988, Research for Marketing Decisions, Prentice-Hall, Englewood Cliffs, March.
• Harabi, N., 1997, Channels of R&D Spillovers: An Empirical Investigation of Swiss Firms, Technovation, vol. 17, no. 11-12, pp. 627-635.
• Henry, N., Pinch, S.P, 2002, Spatializing Knowledge: Placing the Knowledge Community of Motor Sport Valley, in: Huff, A.S., Jenkins, M. (eds.), Mapping Strategic Knowledge, Sage Publications, London, pp. 137-169.
• Jaffe, A., 1986, Technological Opportunity and Spillovers from R&D: Evidence from Firms' Patents, Profits and Market Value, American Economic Review, vol. 76 no. 5, pp. 984-1001.
• Ketels, C, 2004, European Clusters, in Structural Change in Europe 3 - Innovative City and Business Regions, Hagbarth Publications, Bollschweil.
• Ketels, C, Memedovic, O., 2008, From Clusters to Cluster-based Economic Development, International Journal of Technological Learning, Innovation and Development, vol. 1, no. 3, pp. 375-392.
• Lawson, C, 1999, Towards a Competence Theory of Region, Cambridge Journal of Economics, vol. 23, no. 2, pp. 151-166.
• Levin, R.C., Reiss, PC, 1988, Cost-reducing and Demand-creating R&D with Spillovers, Rand Journal of Economics, vol. 19 no. 4, pp. 538-556.
• Maskell, P., 2001, Towards a Knowledge-based Theory of the Geographical Cluster, Industrial and Corporate Change, vol. 10 no. 4, pp. 921-943.
• Maurseth, P.B., Verspagen, ?., 2002, Knowledge Spillovers in Europe: A Patent Citations Analysis, The Scandinavian Journal of Economics, vol. 104, no. 4, pp. 531-546.
• Morgan, K., 1997, The Learning Region: Institutions, Innovation and Regional Renewal, Regional Studies, vol. 31, no. 5, pp. 491-503.
• Newman, B., Conrad, K.W., 1999, A Frameworkfor Characterizing Knowledge Management Methods, Practices, and Technologies, in support of The Introduction to Knowledge Management, George Washington University Course EMGT 298.T1, Washington, D.C., Spring, http://www.km-forum.org/KM-Characterization-Framework.pdf [access: 14.09.2010].
• Nonaka, I., Takeuchi, H., 1995, The Knowledge-Creating Company: How Japanese Companies Create the Dynamics of Innovation, Oxford University Press, New York.
• Pinch, S., Nick, H., Jenkins, M., Tallman, S., 2003, From 'Industrial Districts' to 'Knowledge Clusters': A Model of Knowledge Dissemination and Competitive Advantage in Industrial Agglomerations, Journal of Economic Geography, vol. 3, pp. 373-388.
• Porter, M., 1998, Clusters and the New Economics of Competition, Harvard Business Review, vol. 76, no. 6, pp. 77-90.
• Sanchez, R., 2004, 'Tacit Knowledge' versus 'Explicit Knowledge' Approaches to Knowledge Management Practice, IVS/CBS Working Papers, no. 1, Department of Industrial Economics and Strategy, Copenhagen Business School, Copenhagen.
• Storper, M., 1993, Regional 'Worlds' of Production: Learning and Innovation in Technology Districts of France, Italy and the USA, Regional Studies, vol. 27, pp. 433-456.
• Storper, M., 1995, The Resurgence of Regional Economies, Ten Years Later: The Region as a Nexus ofUntraded Interdependences, Journal of European Urban and Regional Studies, vol. 2, no. 3, pp. 191-221.
• Tsai, D.H.A., 2005, Knowledge Spillovers and High-technology Clustering: Evidence from Taiwan's Hsinchu Science-Based Industrial Park, Contemporary Economic Policy, vol. 23, no. 1, pp. 116-128.
• Zakk, M.H., 1999, Managing Codified Knowledge, Sloan Management Review, vol. 40, pp. 45-58.