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Revealing Sub-Optimality Conditions of Strategic Decisions

2011/07/01 by H. Kemal İlter, H. Kemal Ilter, Ilter, H. Kemal
Business, Management and Accounting · Decision Sciences · Mathematics · #Big Data and Business Intelligence #Complex Systems and Decision Making #FOS: Computer and information sciences #Innovation Diffusion and Forecasting #Other Statistics (stat.OT) #stat.OT

paper · pdf · doi:10.48550/arxiv.1107.0202

4 pages, 2 figures

arxiv created 2011/07/01 · openalex publication_date 2011/07/01 · arxiv updated 2011/07/04 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Conceptual view of fitness and fitness measurement of strategic decisions on information systems, technological systems and innovation are becoming more important in recent years. This paper determines some dynamics of fitness landscape which are lead to termination of decision makers' research before reaching the global maximum in strategic decisions. These dynamics are specified according to management decision making models and supported with simulation results. This article determines simulation results by means of "Fitness Value" and "Probability of Optimality". Correlation between these two concepts may be remarkable according to revealing optimal values in innovative and research-based decision making approaches beside sub-optimal results of traditional decision making approaches.

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