New knowledge in strategic management through visually mining semantic networks

Gürdal Ertek (), Gül Tokdemir (), Mete Sevinç () and Murat Mustafa Tunç ()
Additional contact information
Gürdal Ertek: Dubai Silicon Oasis
Gül Tokdemir: Cankaya University
Mete Sevinç: Eindhoven University of Technology
Murat Mustafa Tunç: The University of Texas at Dallas

Information Systems Frontiers, 2017, vol. 19, issue 1, No 10, 165-185

Abstract: 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.

Keywords: Knowledge representation; Knowledge generation; Strategic management; Information visualization; Semantic networks; Graph visualization (search for similar items in EconPapers)
Date: 2017
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Citations: View citations in EconPapers (3)

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DOI: 10.1007/s10796-015-9591-0

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