Browsing by Author "Ertek, Gurdal"

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Citation - WoS: 1
Citation - Scopus: 1
Graph-Based Visualization of Stochastic Dominance in Statistical Comparisons
(Ieee, 2019) Tokdemir, Gul; Hammoudi, Mohamad Mustafa; Ertek, Gurdal
In this paper, a graph visualization scheme and methodology is proposed for representing, understanding, and interpreting the statistical comparison of means and the resulting stochastic dominance. The practicality and applicability of the visualization scheme and the methodology is illustrated through a case study, with data coming from higher education institutes in the United States of America (U.S.A.). The objective of the research is to make statistical results more accessible and readable, enabling the visual derivation of actionable insights.
Citation - WoS: 15
Citation - Scopus: 21
New Knowledge in Strategic Management Through Visually Mining Semantic Networks
(Springer, 2017) Tokdemir, Gul; Sevinc, Mete; Tunc, Murat Mustafa; Ertek, Gurdal
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.