碩士 / 真理大學 / 管理科學研究所 / 94 / Abstract：
Blue ocean strategy（BOS） is a methodology of strategy planning and proposed by Kim and Mauborgne（2005）. To eliminate competition is the centre logic of strategic thinking and value innovation is the cornerstone of BOS. To build the value curve of blue ocean strategy canvas with the six principle and four action framework, and think about how to provide a leap in value to the customers and firms. The strategic choices for firms are to achieve both differentiation and low cost and break the existing value-cost trade-off. To create uncontested market space across divers industry domain, and verified the structure of BOS with the best practical case, It is different to the red ocean strategy（ROS）of cutthroat competition.
Yukio Ohsawa（2005）proposed the KeyGraph algorithm, that is a graphical method for data mining originally developed for indexing a document, and recently utilized for chance discovery. The viewpoints of document are visualized with KeyGraph and link the high frequency terms of document to co-occurrence terms in a sentence, through KeyGraph to analyze the finished graph and determine the conclusion of document. The KeyGraph have two characteristic as : visualized graph and weak relationship. In this paper, the first is changed the content of article of BOS to visualized graph, and analyzed the events and contents for discovering the BOS framework and hidden implications, and the second is finding weak relationship to analyze the some scenarios in these graphs for discovering chance of BOS.
Usually, the input data of Keygraph is text file direct changed from the articles, and performed KeyGraph process after document pre-processing. Due to limitations of pre-processing affect the result of KeyGraph process so that the content of document exchanged to code （coding mode）, and design the principle of BOS architecture. Then coding the context of BOS by the coding principle, one practical case one sentence, and any code just occur one time in the sentence. To collect the text file after coded case and analyze the finished graph through KeyGraph algorithm for examine the purpose of this paper, and that is discovering common scenario and hidden strategic chance of BOS architecture.
The result is find as: BOS scenario-1 is common scenario of BOS, and that is composed by value innovation, the four action framework, and the fourth principle of the six principle（customer utility, strategic pricing, and target cost）. BOS scenario-2 is established by （1） look across alternative industry,（2） to challenge the conventional strategy practices and （3）to address adoption hurdles. And BOS scenario-3 is established by（1）look across complementary product and service offerings, （2）to challenge the conventional strategy practices, （3）look across the noncustermers, or （1）look across complementary product and service offerings, and （2）target cost. The BOS scenori-2 and -3 are hidden strategy chance in addition to common scenario of BOS. It was examined with practiced case. In this paper, the result of this study, and this methodology can be used to future research directions in different fields.
| Identifer | oai:union.ndltd.org:TW/094AU000457006 |
| Date | January 2006 |
| Creators | Han-Yuan Lee, 李漢源 |
| Contributors | Fang-Cheng Hsu, 許芳誠 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 67 |
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