Industrial Benchmarking through Information Visualization and Data Envelopment Analysis: A New Framework

نویسندگان

  • Gürdal Ertek
  • Mete Sevinç
  • Firdevs Ulus
  • Özlem Köse
چکیده

We present a benchmarking study on the companies in the Turkish food industry based on their financial data. Our aim is to develop a comprehensive benchmarking framework using Data Envelopment Analysis (DEA) and information visualization. Besides DEA, a traditional tool for financial benchmarking based on financial ratios is also incorporated. The consistency/inconsistency between the two methodologies is investigated using information visualization tools. In addition, k-means clustering, a fundamental method from machine learning, is applied to understand the relationship between k-means clustering and DEA.

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تاریخ انتشار 2014