研究生: |
范筱敏 Fan, Hsiao-Min |
---|---|
論文名稱: |
善因行銷對品牌形象及消費者購買意願影響之研究-以迷客夏為例 The impact of cause-related marketing on brand image and consumer purchase intention: A Case Study of Milkshop |
指導教授: |
丘宏昌
Chiu, Hung-Chang |
口試委員: |
謝依靜
Hsieh, Yi-Ching 唐運佳 Tang, Yun-Chia |
學位類別: |
碩士 Master |
系所名稱: |
科技管理學院 - 國際專業管理碩士班 International Master of Business Administration(IMBA) |
論文出版年: | 2021 |
畢業學年度: | 109 |
語文別: | 英文 |
論文頁數: | 42 |
中文關鍵詞: | 善因行銷 、品牌形象 、購買意願 |
外文關鍵詞: | Cause-related Marketing, Brand Image, Purchase Intention |
相關次數: | 點閱:2 下載:0 |
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Due to the low entry barriers for beverage stores, coupled with the stable demand for beverages in Taiwan, it has attracted many investors to enter the beverage market. According to data from the Ministry of Economic Affairs, the turnover of beverage stores has been increasing year by year since 1997, reaching NTD $99.4 billion in 2008, with an average annual growth rate of 8.5%. Moreover, the information provided by the Ministry of Economic Affairs also shows that beverage stores listed "Intensive competition among the industry" as the second biggest problem they face when running the business.
From the information above, it is clear that there is an intense competition in the beverage market because of the high product homogeneity. Therefore, companies must come up with unique marketing methods to successfully survive in this highly competitive market. In addition, the issue of corporate social responsibility has increasingly gained attention in Taiwan in recent years and consumers have also paid more attention to the beneficiary behavior of enterprises.
This study takes Milkshop, which is a beverage store famous for its cause-related marketing, as an example, to explore the influence of cause-related marketing on brand image and consumers' purchase intention, and further discuss whether the topic of cause-related marketing also plays an important role in it. The questionnaire is conducted online for general consumers in Taiwan, and the data collected would be analyzed by using descriptive statistics analysis, correlation analysis, regression analysis and hierarchical regression analysis.
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