The application of SOM as a decision support tool to identify AACSB peer schools

Melody Y. Kiang, Dorothy M. Fisher, Jeng Chung Victor Chen, Steven A. Fisher, Robert T. Chi

研究成果: Article同行評審

12 引文 斯高帕斯(Scopus)

摘要

For a business school, the selection of its peer schools is an important component of its International Association for Management Education (AACSB) (re)accreditation process. A school typically compares itself with other institutions having similar structural and identity-based attributes. The identification of peer schools is critical and can have a significant impact on a business school's accreditation efforts. For many schools the selection of comparable peer schools is a judgmental process. This study offers an alternative means for selection; a quantitative technique called Kohonen's Self-Organizing Map (SOM) network for clustering. In this research, we first demonstrate the capability of SOM as a clustering tool to visually uncover the relationships among AACSB-accredited schools. The results suggest that SOM is an effective and robust clustering method. Then, we compare the results of SOM with that of other clustering methods, such as K-means, Factor/K-means analysis, and kth nearest neighbor procedure. The objective of this study is to demonstrate that a two-dimensional SOM map can be used to integrate the results of various clustering methods and, thus, act as a visual decision support tool.

原文English
頁(從 - 到)51-59
頁數9
期刊Decision Support Systems
47
發行號1
DOIs
出版狀態Published - 2009 4月

All Science Journal Classification (ASJC) codes

  • 管理資訊系統
  • 資訊系統
  • 發展與教育心理學
  • 藝術與人文(雜項)
  • 資訊系統與管理

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