Discovering Hidden Blue Ocean Strategy with KeyGraph Machine

DOI

10.2991/jcis.2006.209How to use a DOI?

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

© 2006, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Fang-Cheng Hsu
AU  - Han_Yuan Lee
AU  - Tzong-Heng Chi
PY  - 2006/10
DA  - 2006/10
TI  - Discovering Hidden Blue Ocean Strategy with KeyGraph Machine
BT  - Proceedings of the 9th Joint International Conference on Information Sciences (JCIS-06)
PB  - Atlantis Press
SP  - 453
EP  - 456
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2006.209
DO  - 10.2991/jcis.2006.209
ID  - Hsu2006/10
ER  -