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Competitiveness of top 100 U.S. universities: a benchmark study using data envelopment analysis (DEA) and information visualization

Ertek, Gürdal and Tokdil, Bengi and Günaydın, İbrahim and Göğüş, Aytaç (2013) Competitiveness of top 100 U.S. universities: a benchmark study using data envelopment analysis (DEA) and information visualization. In: Osman, İbrahim and Anouze, Abdel L. and Emrouznejad, Ali, (eds.) Strategic Performance Management and Measurement Using Data Envelopment Analysis. IGI Global, Hershey, PA, USA. (Accepted/In Press)

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Abstract

This study presents a comprehensive benchmarking study of the top 100 U.S. Universities. The methodologies used to come up with insights into the domain are Data Envelopment Analysis (DEA) and information visualization. Various approaches to evaluating academic institutions have appeared in the literature, including a DEA literature dealing with the ranking of universities. Our study contributes to this literature by the extensive incorporation of information visualization and subsequently the discovery of new insights. The main purpose of the study is creating an objective basis of assessment for the candidate students to use for university preferences. Meanwhile, the actionable insights obtained for the domain can guide university managers, as well as candidate students.
Item Type: Book Section / Chapter
Subjects: T Technology > T Technology (General) > T055.4-60.8 Industrial engineering. Management engineering
H Social Sciences > HD Industries. Land use. Labor > HD0028 Management. Industrial Management
L Education > LB Theory and practice of education > LB2300 Higher Education
L Education > LB Theory and practice of education > LB2801-LB3095 Theory and practice of education--School administration and organization
L Education > L Education (General)
Divisions: Center for Individual and Academic Development
Faculty of Engineering and Natural Sciences > Academic programs > Industrial Engineering
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Gürdal Ertek
Date Deposited: 15 Jan 2014 12:21
Last Modified: 26 Apr 2022 08:31
URI: https://research.sabanciuniv.edu/id/eprint/23116

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