Applying an integrated SOM model on studying corporate governance data

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Corporate governance has gradually become an important consideration in investment decisions of stock market and credit evaluation of financial market since several notorious business scandals, such as Enron's inside information trading in the US and executive entrenchment of Rebar conglomerate in Taiwan. However, corporate governance is presented by a large amount of data, which involves the following facets: managerial ownership, external ownership, board size, board composition, financial transparency, executive compensation, etc. To utilize these data, this study applied an integrated self-organizing map (SOM) model, which has been successfully used for visualizing and clustering high-dimension data in several applications, to study corporate governance of Taiwan's semiconductor companies by recognizing implicit patterns of these data. The research results demonstrate that eight types of corporate governance have been identified by the SOM model, and features selected by LabelSOM are used to interpret the eight styles of companies.

Original languageEnglish
Title of host publication19th International Conference on Industrial Engineering and Engineering Management
Subtitle of host publicationAssistive Technology of Industrial Engineering
PublisherSpringer Science and Business Media Deutschland GmbH
Pages177-187
Number of pages11
ISBN (Print)9783642383908
DOIs
Publication statusPublished - 2013
Event19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering - Changsha, China
Duration: 2012 Oct 272012 Oct 29

Publication series

Name19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering

Conference

Conference19th International Conference on Industrial Engineering and Engineering Management: Assistive Technology of Industrial Engineering
Country/TerritoryChina
CityChangsha
Period2012/10/272012/10/29

Keywords

  • Corporate governance
  • Data mining
  • Self-organizing maps
  • Semiconductor companies

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering

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