Selecting the right MBA schools - An application of self-organizing map networks

Authors:
Melody Y. Kiang;Dorothy M. Fisher
Affiliations:
Information Systems Department, College of Business Administration, California State University, Long Beach, USA and School of Management, Harbin Institute of Technology, Heilongjiang, China;Department of Information Systems and Operations Management, College of Business Administration and Public Policy, California State University, Dominguez Hills, USA
Venue:
Expert Systems with Applications: An International Journal
Year:
2008

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Abstract

The self-organizing map (SOM) network, an unsupervised neural computing network, is a categorization network developed by Kohonen. The SOM network was designed for solving problems that involve tasks such as clustering, visualization, and abstraction. In this study, we apply the clustering and visualization capabilities of SOM to group and plot the top 79 MBA schools as ranked by US News and World Report (USN&WR) into a two-dimensional map with four segments. The map should assist prospective students in searching for the MBA programs that best meet their personal requirements. Comparative analysis with the outputs from two popular clustering techniques K-means analysis and a two-step Factor analysis/K-means procedure are also included.