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EN
The aim of the present paper is to investigate channels of innovation and knowledge transfer in the development of the automotive and wood processing sectors in Slovakia and identify suitable policies to support these innovations. We follow the conceptual framework of innovation patterns and try to identify adequate support policies for different regional innovation patterns. We used interviews with several relevant actors in both sectors to identify their innovation activities and the role the external environment plays in them. We found that better functioning support tools in the region are aimed at key channels of knowledge and innovation transfer.We also support the need for a thematically=regionally focused innovation policy approach, as both sectors and regions require different kinds of innovation policies.
EN
Aim/purpose – The paper aims to summarize approaches to complexity management by implementing particular logistics concepts within logistics strategies in global supply chains and to highlight a research gap in this regard. Additionally, complexity management concepts are presented. Design/methodology/approach – To achieve the research objective, a systematic literature review was used. 11 research paper were analyzed with use of review protocol. Findings – Approaches to mentioned research problem are heterogeneous in current literature and there is a research gap in complexity studies in logistics, precluding further research, for example, on complexity measurement systems. Research implications/limitations – Identified research gap will require further studies. Studied area requires more empirical research, especially in the field of complexity measurement and management techniques in particular global supply chains. Originality/value/contribution – The paper summarizes current knowledge about logistics concepts helping to manage complexity in global supply chains and defines research gaps. There are no available literature summary of that kind. The article contains a full review of logistics complexity management concepts presented in scientific literature until the end of 2016.
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