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Network Relationships Analysis in a Knowledge-Based Organization (Analiza relacji sieciowych w organizacji opartej na wiedzy)

Author

Listed:
  • Arkadiusz Kawa

    (Uniwersytet Ekonomiczny w Poznaniu)

  • Monika Matusiak

    (Uniwersytet Ekonomiczny w Poznaniu)

Abstract

Science and technology parks are important nodes in regional and national innovation systems. Because of this role, they are an example of knowledge-based organizations, for which being networked, understood as flows of information, project and client-service cooperation and informal flows such as trust, becomes a valuable asset. The objective of this article was to analyze network relations between the employees of one of Polish science and technology parks as a part of a strategic analysis aimed at identifying key challenges for this organization after the predicted diminishing of available public grants. The point of special interest was information flows in the context of their number and intensity (width and depth of the network) that are a basis for efficient knowledge-transfer and innovation services for clients. In this article, according to the ICT science, information flows are treated as a part of knowledge (data-information-knowledge sequence) and its proxy. The rationale for such a decision is the fact that a group of highly competent employees, with significant levels of both codified and tacit knowledge, was analyzed. Moreover, they were asked to focus on information significant from the point of view of their work in the science and technology park. The results achieved by application of the SNA method allowed the identification of employees who are knowledge nodes, both in the perspective of senders and recipients of information. They are already in or should be appointed to managerial positions in the organization and their relations with other employees grouped with them in knowledge clusters can be a basis for reorganization.

Suggested Citation

  • Arkadiusz Kawa & Monika Matusiak, 2016. "Network Relationships Analysis in a Knowledge-Based Organization (Analiza relacji sieciowych w organizacji opartej na wiedzy)," Problemy Zarzadzania, University of Warsaw, Faculty of Management, vol. 14(64), pages 98-119.
  • Handle: RePEc:sgm:pzwzuw:v:14:i:64:y:2016:p:98-119
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    References listed on IDEAS

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    1. Alexandre Almeida & Cristina Santos & Mário Rui Silva, 2008. "Bridging Science to Economy: The Role of Science and Technologic Parks in Innovation Strategies in “Follower” Regions," FEP Working Papers 302, Universidade do Porto, Faculdade de Economia do Porto.
    2. Zoltan J. Acs & Attila Varga, 2008. "Entrepreneurship, Agglomeration and Technological Change," Chapters, in: Entrepreneurship, Growth and Public Policy, chapter 24, pages 341-352, Edward Elgar Publishing.
    3. David B. Audretsch (ed.), 2006. "Entrepreneurship, Innovation and Economic Growth," Books, Edward Elgar Publishing, number 4130.
    4. Feser, Daniel & Proeger, Till, 2015. "Asymmetric information as a barrier to knowledge spillovers in expert markets," University of Göttingen Working Papers in Economics 259, University of Goettingen, Department of Economics.
    5. David B. Audretsch, 1995. "Innovation and Industry Evolution," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262011468, December.
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    More about this item

    Keywords

    science parks; network relations; knowledge-based organizations;
    All these keywords.

    JEL classification:

    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • L14 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Transactional Relationships; Contracts and Reputation
    • O32 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Management of Technological Innovation and R&D

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