The article presents the results of research on the resource‑related response to the crisis of 6 Holdings carrying out business in Poland. The goal of the research was to identify the influence of the crisis on the way of key resources management in the analysed Holdings. To reach this goal it was necessary to: diagnose the resource potential in the analysed Holdings, which also covered the identification of key resources and the applied strategy of key resources management; and to describe changes in key resources management resulting from the crisis and to attempt to evaluate them in respect of enhanced resilience to the crisis. The research showed similarities in the profiles of key resources of the analysed Holdings and the key resources strategies applied by them. Although all the analysed Holdings introduced changes in managing key resources as a result of the macroeconomic crisis, the logics of these changes were not homogeneous, as they were caused by different reasons. The case studies enabled the formulation of a thesis that only strategic changes in resources management (i.e. those resulting from changes of the business model and development strategy) are able to improve the Holdings’ resilience to the crisis. Reactive changes cannot bring such results.
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Knowledge plays a double role in network organisations: on the one hand it is a determinant and the main reason for creating a network structure, on the other hand – it is the effect of the functioning of these structures. Knowledge resources in network organisations should be constantly renewed, updated, created and protected. Skilful knowledge resources management can significantly increase the effectiveness and innovation of network organisations. Based on the model created by herself, the author has carried out a detailed analysis of the phenomenon and conditions of knowledge management at 363 network organisations operating in 2013 in Poland (including 121 belonging to cluster‑type organisations, 121 franchise organisations and 121 virtual organisations). Potential factors having an impact on individual knowledge management parameters were considered, such as: the size of an enterprise, the type of its activities, the network type, the role in the network, the size of a network, the geographical scope of network activities and the network development phase.
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