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Information Systems Frontiers

, Volume 19, Issue 1, pp 165–185 | Cite as

New knowledge in strategic management through visually mining semantic networks

  • Gürdal ErtekEmail author
  • Gül Tokdemir
  • Mete Sevinç
  • Murat Mustafa Tunç
Article

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 

Notes

Acknowledgments

The authors thank Dr. Haluk Demirkan and Dr. Gülçin Büyüközkan for their suggestions on improving the paper. The authors also thank İlter İrdesel for the development of the Domain Objects Map (DOM) specification in his M.Sc. Thesis and the creation of the graphs for the case study, Cem Kanpara for drawing the DOM in yEd software, Kamil Collu and Soner Ulun for their support in editing, and Andreea Avadanei and Richard Wilkinson for their help in proofreading.

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Copyright information

© Springer Science+Business Media New York 2015

Authors and Affiliations

  • Gürdal Ertek
    • 1
    Email author
  • Gül Tokdemir
    • 2
  • Mete Sevinç
    • 3
  • Murat Mustafa Tunç
    • 4
  1. 1.Rochester Institute of Technology - DubaiDubai Silicon OasisDubaiUAE
  2. 2.Department of Computer Engineering, Faculty of EngineeringCankaya UniversityYenimahalleTurkey
  3. 3.School of Industrial EngineeringEindhoven University of TechnologyEindhovenNetherlands
  4. 4.Jindal School of ManagementThe University of Texas at DallasRichardsonUSA

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