Discovering Hidden Blue Ocean Strategy with KeyGraph Machine
- Fang-Cheng Hsu 0, Han_Yuan Lee, Tzong-Heng Chi
- Corresponding Author
- Fang-Cheng Hsu
0Department of Information Management, Aletheia University
Available Online undefined NaN.
- https://doi.org/10.2991/jcis.2006.209How to use a DOI?
- Chance discovery, Blue ocean strategy, Strategy discovery
- 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.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Fang-Cheng Hsu AU - Han_Yuan Lee AU - Tzong-Heng Chi PY - NaN/NaN DA - NaN/NaN TI - Discovering Hidden Blue Ocean Strategy with KeyGraph Machine BT - 9th Joint International Conference on Information Sciences (JCIS-06) PB - Atlantis Press UR - https://doi.org/10.2991/jcis.2006.209 DO - https://doi.org/10.2991/jcis.2006.209 ID - HsuNaN/NaN ER -