Canakkale Onsekiz Mart University/Tourism Faculty, Turkey
Canakkale Onsekiz Mart University, Social Science Institute/Tourism Management, Turkey
4th International Conference – ERAZ 2018 – KNOWLEDGE BASED SUSTAINABLE ECONOMIC DEVELOPMENT, Sofia- Bulgaria, June 7, 2018, CONFERENCE PROCEEDINGS published by: Association of Economists and Managers of the Balkans, Belgrade, Serbia; Faculty of Business Studies, Mediterranean University – Podgorica, Montenegro; University of National and World Economy – Sofia, Bulgaria; Faculty of Commercial and Business Studies – Celje, Slovenia; Faculty of Applied Management, Economics and Finance – Belgrade, Serbia, ISBN 978-86-80194-12-7
Clustering and its network system are considered as significant knowledge exchange environment for companies. When noticed that technology and knowledge exchange are improving day by day, knowledge is undoubtedly decisive for the companies trying to survive in the 21st century. For this reason, how network systems work within a cluster is literally vital as well as advantages of being in a cluster for a company.
The tourism sector, called also “smokeless industry”, has many distinctive characteristics compared to other industrial sectors. That’s why clustering in the tourism sector may be more effective if well managed. In order to create a tourism product with value-added features for the region of a cluster, several diversified companies are supposed to be in cooperation.
In this regard, the goal of the study is to analyze how knowledge is shared within the network of a tourism cluster and its ways (for instance, information technologies, management information system, intranet, extranet, electronic data interchange etc.) Having figured out that of an industrial one, it has been also aimed to reveal the differences of a tourism network from other industrial ones. It concludes from the paper that there are many formal and informal channels through which knowledge flows within the network system in a tourism cluster. It can be observable that the intensity of knowledge exchange among cluster actors is not at the same level: it depends on inputs and outputs of cluster companies.
network, cluster, tourism, knowledge, network system
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