A Multi-Criteria Strategic Evaluation Model to Determine the Suitability of Newly Rising Engineering Departments in Turkish Universities Based on the Data from the Year 2009 to 2020 Using the Econophysics Perspective

Yusuf Tansel İ㧠()
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Yusuf Tansel Ä°ã§: Department of Industrial Engineering, Baskent University, Ankara, 06790, Turkey

International Journal of Information Technology & Decision Making (IJITDM), 2025, vol. 24, issue 04, 1247-1276

Abstract: In the recent decade, engineering and technology have been developed rapidly, and new requirements are rising for engineering education. So, new and more focused departments are rising in the engineering faculty. The Turkish economy has been developed, and it is necessary to develop new technologies in industry based on the new investments. The scientific models are required to decide which engineering departments are necessary based on the socio-economic development of the economy. For this aim, we present a strategic analysis of which department can be established to meet the requirements in Turkey in light of the latest developments in the world. In the analysis stage, we listed engineering departments in the world universities and compared them with Turkish universities. We determined the selection criteria for the alternative departments, following these analyses and their related data collected from the Turkish Statistical Institute’s website. We used the new impulse and momentum principle-based weight assignment procedure integrated Technique for Order Preferences by Similarity to the Ideal Solution (IMP-TOPSIS) method to rank alternative departments using different scenarios. We concluded that Artificial Intelligence Engineering is the most suitable alternative. In addition, Aerospace Engineering has the second importance, and Materials Science and Nanotechnology Engineering have the third importance, according to the obtained results.

Keywords: Engineering departments; ranking; impulse and momentum principle; econophysics; TOPSIS (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1142/S0219622024500044

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