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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hsiao-Fang Yang Mu-Hua Lin |
| Copyright Year | 2009 |
| Description | Author affiliation: Department of MIS, National Chengchi University, Taipei City, Taiwan (Hsiao-Fang Yang; Mu-Hua Lin) |
| Abstract | The motivation of this study is based on the potential strategies of industry are difficult to be found. Therefore, we propose the model to find the enterprise's strategy. The purpose is to obtain valuable concept and strategy early. The analysis data of this study are cell-phones which Taiwan in 2002. First, collect the specification of cell-phone into structural files through the principle of open coding of the ground theory. And then it produce the strategically graph. Finally, utilizing the principle of social position (The initial position is best) to calculate the position of each node and used for judging the value of concept. From the experiment result, this study could discover the products development strategy of enterprises with scenario that combine from cell-phone data. Besides, it can find the powerful concept through the position. The contribution to this study is offer a method lets decision maker to find the productive strategy from product's data on the market. These strategies can cause user's interest in products and develop the bigger product market. |
| Starting Page | 1742 |
| Ending Page | 1745 |
| File Size | 600716 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424427932 |
| ISSN | 1062922X |
| DOI | 10.1109/ICSMC.2009.5346666 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-10-11 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cities and towns Product development Cybernetics USA Councils Wikipedia Logic Data analysis Text mining Production planning System-level design grounded theory social capital text mining |
| Content Type | Text |
| Resource Type | Article |
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