Please use this identifier to cite or link to this item: https://open.uns.ac.rs/handle/123456789/3100
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dc.contributor.authorKranjac M.en
dc.contributor.authorSikimić U.en
dc.contributor.authorSalom J.en
dc.contributor.authorTomić, Slavicaen
dc.date.accessioned2019-09-23T10:25:41Z-
dc.date.available2019-09-23T10:25:41Z-
dc.date.issued2017-07-10en
dc.identifier.isbn9789532330922en
dc.identifier.urihttps://open.uns.ac.rs/handle/123456789/3100-
dc.description.abstract© 2017 Croatian Society MIPRO. Creation of industry clusters is a request of modern economy to reshape itself for permanently changing external and internal conditions. By using industry clusters transition countries, like Serbia, are in a position to act in foreign markets with united offer of products in order to reach critical mass. Governmental support to clustering processes is inevitable and it starts to be important when the mapping of market begins and when clustering territories start to appear. Government of Vojvodina has recognized the importance of clusters and started to give financial aid and political support to first clusters in Vojvodina in 2007. After 9 years of activities, there are still problems and some necessary changes and improvements should be made. There is a need to analyze clustering processes with spatial components. The authors of this paper present visualization of clusters' activities and acquire the results and impacts of governmental support on clustering success. This is performed by using QGIS visualization tool. The authors have found very big differences between clusters, big changes during clusters' life cycles, and dependence of these factors on sectors of work. They discuss clustering process, recognize various stages of clusters development, and suggest some visualization tools which should be used to follow a clustering process.en
dc.relation.ispartof2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics, MIPRO 2017 - Proceedingsen
dc.titleSpatial analysis of the clustering processen
dc.typeConference Paperen
dc.identifier.doi10.23919/MIPRO.2017.7973426en
dc.identifier.scopus2-s2.0-85027680489en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85027680489en
dc.relation.lastpage243en
dc.relation.firstpage238en
item.grantfulltextnone-
item.fulltextNo Fulltext-
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