| 研究生: |
蘇才南 Sok, Channa |
|---|---|
| 論文名稱: |
Factors Affecting Consumer Perceived value and Purchase Intention of Mobile Phone in Cambodia and Taiwan Factors Affecting Consumer Perceived value and Purchase Intention of Mobile Phone in Cambodia and Taiwan |
| 指導教授: |
偉頁倫
Webb, Alan J. |
| 學位類別: |
碩士 Master |
| 系所名稱: |
管理學院 - 國際管理碩士在職進修專班(IMBA) International Master of Business Administration(IMBA) |
| 論文出版年: | 2005 |
| 畢業學年度: | 93 |
| 語文別: | 英文 |
| 論文頁數: | 135 |
| 外文關鍵詞: | Perceived quality, Price, Taiwan, Cambodia, Perceived value, Perceived sacrifice, purchase intention, mobile phones |
| 相關次數: | 點閱:93 下載:0 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
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Mobile phone markets are one of the most unstable market atmospheres nowadays due to increased competition and change. Thus, the growing concern requires the marketers to strictly look at consumer buying decision process and more focus on the factors such as Prices, Perceived quality, Perceived sacrifice, Perceived value, and Purchase intention that subsequently determine willingness to purchase between different mobile phones. On this basis, this research deals with consumers’ sacrifice and willingness to purchase criteria in mobile phone markets by studying factors that influence customer perceived value and purchase intention to acquire new mobile phones on one hand and factors that influence on mobile phone change on the other hand. It was found that although the willingness to buy of a mobile phone is a subjective choice situation, there are some general factors that seem to guide the willingness to buy. The study between Cambodia and Taiwan shows that while technical problems are the basic reason to change mobile phone among consumers, prices, brands, interface, and properties are the most influential factors affecting the actual choice among brands.
In addition, the results show that Cambodian consumers slightly focus on prices but sacrifice. However, Taiwanese customers sensitively emphasize on prices but sacrifice and also less willing to purchase mobile phone. Accordingly, it is useful to consider the age, gender, income, and education of consumers to predict consumer decision more precisely.
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