Product life cycle (PLC) may be used as a managerial tool. Marketing strategies must change as the product goes through its life cycle. If managers understand the cycle concept, they are in a better position to forecast the future sales activities and plan marketing strategies. However, people often make the wrong PLC because of the difficulty of data access and lacking decision-making information. Therefore, this thesis applies customer behavior model to analyze the relationship between the frequency and the duration time from the product discussion, and it calculates the PLC pattern to explore the product¡¦s current position in customers¡¦ mind. Finally, the PLC curve will be constructed by using the information that we got from previous analysis. Moreover, we also employ data mining and information retrieval technique to diagnose the variance of discussion frequency and the content of discussion article to extract the distinctive event that influenced PLC curve. The main contributions of this thesis are described as the following sentence:
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0722103-111541 |
| Date | 22 July 2003 |
| Creators | Chou, Cheng-Chi |
| Contributors | Nien-Hsin Chen, Shian-Shyong Tseng, Jin-Tan David Yang, Chun-Fu Hou |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0722103-111541 |
| Rights | unrestricted, Copyright information available at source archive |
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