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New knowledge in strategic management through visually mining semantic networks

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dc.contributor.author Ertek, Gürdal
dc.contributor.author Tokdemir, Gül
dc.contributor.author Sevinç, Mete
dc.contributor.author Tunç, Murat Mustafa
dc.date.accessioned 2020-03-18T11:52:38Z
dc.date.available 2020-03-18T11:52:38Z
dc.date.issued 2017-02
dc.identifier.citation Ertek, Gürdal; Tokdemir, Gül; Sevinç, Mete; Tunç, Murat Mustafa, "New knowledge in strategic management through visually mining semantic networks", Information Systems Frontiers, Vol.19, No.16, pp.165-185, (2017). tr_TR
dc.identifier.issn 1387-3326
dc.identifier.uri http://hdl.handle.net/20.500.12416/2668
dc.description.abstract Today's highly competitive business world requires that managers be able to make fast and accurate strategic decisions, as well as learn to adapt to new strategic challenges. This necessity calls for a deep experience and a dynamic understanding of strategic management. The trait of dynamic understanding is mainly the skill of generating additional knowledge and innovative solutions under the new environmental conditions. Building on the concepts of information processing, this paper aims to support managers in constructing new strategic management knowledge, through representing and mining existing knowledge through graph visualization. To this end, a three-stage framework is proposed and described. The framework can enable managers to develop a deeper understanding of the strategic management domain, and expand on existing knowledge through visual analysis. The model further supports a case study that involves unstructured knowledge of profit patterns and the related strategies to succeed using these patterns. The applicability of the framework is shown in the case study, where the unstructured knowledge in a strategic management book is first represented as a semantic network, and then visually mined for revealing new knowledge. tr_TR
dc.language.iso eng tr_TR
dc.publisher Springer tr_TR
dc.relation.isversionof 10.1007/s10796-015-9591-0 tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Knowledge Representation tr_TR
dc.subject Knowledge Generation tr_TR
dc.subject Strategic Management tr_TR
dc.subject Information Visualization tr_TR
dc.subject Semantic Networks tr_TR
dc.subject Graph Visualization tr_TR
dc.title New knowledge in strategic management through visually mining semantic networks tr_TR
dc.type article tr_TR
dc.relation.journal Information Systems Frontiers tr_TR
dc.contributor.authorID 17411 tr_TR
dc.identifier.volume 19 tr_TR
dc.identifier.issue 16 tr_TR
dc.identifier.startpage 165 tr_TR
dc.identifier.endpage 185 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği tr_TR


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