p-ISSN 2146-796X
e-ISSN 2146-7978
Yunus Söylet

Recep Öztürk
Salih Murat Akkın
Süphan Nasır

Associate Editors
Burak Önal
Harun Serpil
Yiğit Yurder
2020 Volume 10
Deomed Publishing
Journal Logo
Volume 10, Issue 2, August 2020,
Page(s): 205-218
Original Empirical Research
Received: March 22, 2019; Accepted: April 19, 2020; Published online: June 3, 2020
doi:10.2399/yod.19.543451; Copyright © 2020, Deomed
Comparison of the International Trade and International Business Undergraduate Program Curricula of Turkish and USA Universities
Haşmet Sarıgül ORCIDID (E-mail)
Department of International Trade, Faculty of Management and Administrative Sciences???, Istanbul Esenyurt Universiy, Istanbul, Turkey
The aim of this study is to determine whether universities that offer undergraduate programs under different names such as International Trade, International Business, International Business and Management, International Business Management, Global Business, and Global Business Management have a cross-curricular standard, and to what extent they differ or bear similarities. Therefore, the undergraduate program curricula of thirty-six Turkish and twenty-one United States universities were compared by their course names and contents. Applying the Hierarchical Cluster Analysis method, the obtained results were supported by Euclidean proximity matrix and dendrogram. The dendrogram revealed that a single cluster with two universities formed at a distance of one unit while three clusters with multiple universities formed at a distance of five units. The total number of universities in these three clusters were 23. In the ten-unit distance referenced, there were thirty-eight universities in the first cluster, three universities in the second, and two universities in the third and fourth clusters, respectively. Seventeen of the United States universities gathered in the same cluster. All of the eight universities that were dissimilar and formed their own clusters within the ten-unit distance were the Turkish universities. The results revealed that there was a higher number of differences in the curricula of the Turkish universities. Considering the Euclidean proximity matrix and clusters, the names of the faculties and departments were found not to be a determinant in the similarity of the curricula.
Keywords: Curriculum, data mining, higher education, international trade
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Yükseköğretim Dergisi / Journal of Higher Education (Turkey)

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