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Evaluation of the Effectiveness of Relations in Network Organizations

In: Management of Network Organizations

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  • Irena Łącka

    (West Pomeranian University of Technology in Szczecin)

Abstract

The conditions for the emergence of various forms of network organizations are already somewhat well-recognized. Currently, attention (of both management and economics) is focused on the functioning and effectiveness of these relationships. This refers to the various forms of interorganizational partnership, including cooperation between science and industry. Evaluation in this case is difficult for numerous reasons, e.g. the ambiguity of the concept of effectiveness, the difficulty of measuring certain aspects of relationships between researchers and entrepreneurs, the diversity of forms of cooperation and partners, and differences in perception of input and output in cooperation networks. The paper discusses the limitations and opportunities for assessing the effectiveness of the various linkages between scientific institutions and enterprises using the concept of the success map of alliances. Its goal is to present a set of indicators with which to measure the cooperation between science and industry. This discussion on the set of indicators and determinants for assessing the effectiveness of science-industry linkages is a contribution to further research on the phenomenon of cooperation between researchers and entrepreneurs in the context of network organizations.

Suggested Citation

  • Irena Łącka, 2015. "Evaluation of the Effectiveness of Relations in Network Organizations," Springer Books, in: Włodzimierz Sroka & Štefan Hittmár (ed.), Management of Network Organizations, edition 127, pages 137-152, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-17347-4_10
    DOI: 10.1007/978-3-319-17347-4_10
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    Cited by:

    1. Song, Yanwu & Zhang, Jinrui & Song, Yingkang & Fan, Xinran & Zhu, Yuqing & Zhang, Chen, 2020. "Can industry-university-research collaborative innovation efficiency reduce carbon emissions?," Technological Forecasting and Social Change, Elsevier, vol. 157(C).

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