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title:
 
Discovering Hidden Blue Ocean Strategy with KeyGraph Machine
publication:
 
JCIS-2006 Proceedings
part of series:
  Advances in Intelligent Systems Research
ISBN:
  978-90-78677-01-7
ISSN:
  1951-6851
DOI:
  doi:10.2991/jcis.2006.209 (how to use a DOI)
author(s):
 
Fang-Cheng Hsu, Han_Yuan Lee, Tzong-Heng Chi
corresponding author:
 
Fang-Cheng Hsu
publication date:
 
October 2006
keywords:
 
Chance discovery, Blue ocean strategy, Strategy discovery
abstract:
 
Researchers usually focused on using unstructured documents as input documents of KeyGraph. But the unstructured documents might results in unclear keywords and meaningless keywords. Although traditional document preprocessing could dismiss some of the problems, generating complex and unreadable KeyGraph diagrams were not avoidance. In this research, we applied the concept of chance discovery and KeyGraph to discover hidden blue ocean strategy (BOS) for decision makers who not necessary familiar with the concerned domains. A preprocessing strategy, including develop an operational framework of BOS and design a sentence structure for representing BOS, was proposed to assure the necessary keywords be included in the required documents. Seventy-two documents concerning blue ocean firms were collected as sample cases for developing the operational framework. Three experiences were designed for confirming the performance of the proposed preprocessing strategy.
copyright:
 
© Atlantis Press. This article is distributed under the terms of the Creative Commons Attribution License, which permits non-commercial use, distribution and reproduction in any medium, provided the original work is properly cited.
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