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    題名: 從眾行為、消費依賴與永續轉型:以電商品牌為策略觀點
    Bandwagon behavior, consumer reliance, and sustainable transformation strategies of e-commerce brands
    作者: 羅瑞金
    LO, JUI-CHIN
    貢獻者: 周冠男
    梁嘉紋

    Chou, Robin K.
    Liang, Chia-Wen

    羅瑞金
    LO, JUI-CHIN
    關鍵詞: 從眾行為
    消費者依賴
    大數據行銷
    永續轉型
    電商品牌
    Herd behavior
    Consumer dependency
    Big data marketing
    Sustainable transformation
    E-commerce branding
    日期: 2025
    上傳時間: 2025-08-04 13:07:57 (UTC+8)
    摘要: 本研究以「從眾行為、消費依賴與永續轉型」為主軸,探討電商品牌在數位平台環境中如何透過群體影響、信任養成與數據策略,引導消費者產生不理性或策略性消費行為,進而達成品牌黏著與永續價值的雙重目標。研究選擇三個具代表性的台灣品牌「Simply 新普利」、「m2 美度」、「MIRAE 未來美」作為個案,透過次級資料與深度訪談,分析其從眾誘因設計、消費依賴機制與永續實踐手段。研究發現,不同產業背景與產品性質將影響從眾觸發點與依賴建立方式,數據應用亦為永續與轉型策略的關鍵橋梁。本研究不僅補足既有從眾與依賴理論於電商與永續情境中的實證缺口,亦提供品牌在設計導購流程與永續溝通上具體的策略建議。
    This research centers on the themes of herd behavior, consumer dependency, and sustainable transformation, examining how e-commerce brands influence consumer decision-making through social dynamics, trust-building mechanisms, and data-driven strategies. Focusing on three prominent Taiwanese brands 「Simply」, 「m2」, and 「MIRAE」 the study applies case analysis and qualitative interviews to explore how these companies construct conformity triggers, foster habitual reliance, and integrate sustainability into their brand narratives. The findings suggest that industry context and product nature significantly affect the mechanisms of herd behavior and dependency formation, while data analytics serves as a pivotal tool linking marketing effectiveness with sustainable goals. This study contributes to the theoretical development of social influence and brand dependency in digital commerce and offers strategic insights for brand transformation toward sustainability.
    參考文獻: 一、中文文獻
    丁仁方(2004)。《網路行銷》。台北:華泰文化。
    王國雄、王文科(2020)。〈探討消費者對永續產品購買意願之影響因素〉。《行銷評論》,17(2),145–169。
    林建煌(2015)。《行銷學》。台北:新陸書局。
    施振榮(2012)。〈從企業策略看創新與永續的結合〉。《管理與系統》,19(1),1–10。
    賴昭良(2019)。〈數位轉型下之大數據應用與管理策略〉。《資訊管理研究》,25(3),85–106。
    二、英文文獻
    Aral, S., Dellarocas, C., & Godes, D. (2013). Introduction to the special issue—social media and business transformation: A framework for research. Information Systems Research, 24(1), 3–13.
    Ahuvia, A. C. (2005). Beyond the extended self: Loved objects and consumers’ identity narratives. Journal of Consumer Research, 32(1), 171–184. https://doi.org/10.1086/429607
    Asch, S. E. (1955). Opinions and social pressure. Scientific American, 193(5), 31–35. https://doi.org/10.1038/scientificamerican1155-31
    Banerjee, A. V. (1992). A simple model of herd behavior. The Quarterly Journal of Economics, 107(3), 797–817. https://doi.org/10.2307/2118364
    Cialdini, R. B., & Goldstein, N. J. (2004). Social influence: Compliance and conformity. Annual Review of Psychology, 55, 591–621.
    Chatterjee, P. (2001). Online reviews: Do consumers use them? Advances in Consumer Research, 28, 129–133.
    Chiu, C. M., Chang, C. C., Cheng, H. L., & Fang, Y. H. (2009). Determinants of customer repurchase intention in online shopping. Online Information Review, 33(4), 761–784.
    Deutsch, M., & Gerard, H. B. (1955). A study of normative and informational social influences upon individual judgment. The Journal of Abnormal and Social Psychology, 51(3), 629–636. https://doi.org/10.1037/h0046408
    Gefen, D., Karahanna, E., & Straub, D. W. (2003). Trust and TAM in online shopping: An integrated model. MIS Quarterly, 27(1), 51–90.
    Kotler, P., & Keller, K. L. (2016). Marketing management (15th ed.). Pearson Education.
    Niinimäki, K., Peters, G., Dahlbo, H., Perry, P., Rissanen, T., & Gwilt, A. (2020). The environmental price of fast fashion. Nature Reviews Earth & Environment, 1(4), 189–200.
    Sheth, J. N., & Parvatiyar, A. (1995). Relationship marketing in consumer markets: Antecedents and consequences. Journal of the Academy of Marketing Science, 23(4), 255–271.
    Solomon, M. R. (2020). Consumer behavior: Buying, having, and being (13th ed.). Pearson.
    Stern, B. B., & Gould, S. J. (1992). A psychological look at cause-related marketing: Brand and cause-related effects. Psychology & Marketing, 9(3), 157–165.
    Sundar, S. S., & Kim, J. (2019). Machine heuristic: When we trust computers more than humans with our personal information. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (Paper No. 42). Association for Computing Machinery.
    Tversky, A., & Kahneman, D. (1974). Judgment under uncertainty: Heuristics and biases. Science, 185(4157), 1124–1131. https://doi.org/10.1126/science.185.4157.1124
    Wedel, M., & Kannan, P. K. (2016). Marketing analytics for data-rich environments. Journal of Marketing, 80(6), 97–121. https://doi.org/10.1509/jm.15.0413
    三、網路與數位資料
    行政院環境保護署(2023)。《淨零排放政策白皮書》。取自:https://www.epa.gov.tw/
    經濟部工業局(2023)。《綠色製造與永續發展策略》。取自:https://www.moeaidb.gov.tw/
    m2 美度官方網站(2024)。品牌理念與商品資訊。取自:https://www.m2-beauty.com/
    MIRAE 未來美官方網站(2024)。品牌介紹與產品資訊。取自:https://www.mirae-beauty.com/
    Simply 新普利官方網站(2024)。品牌理念與產品介紹。取自:https://www.simply.com.tw/
    Shiny Brands Co., Ltd. (2021). 2021 Sustainability Report. Retrieved from https://www.shiny.com.tw/esg/2021
    Shiny Brands Co., Ltd. (2022). 2022 Sustainability Report. Retrieved from https://www.shiny.com.tw/esg/2022
    Shiny Brands Co., Ltd. (2023). 2023 Sustainability Report. Retrieved from https://www.shiny.com.tw/esg/2023
    Nielsen. (2021). Nielsen trust in advertising study (p. 5). Nielsen.
    Nielsen. (2024). Nielsen annual marketing report 2024 (p. 3). Nielsen.
    Nielsen. (2024). Nielsen annual marketing report 2024 (p. 5). Nielsen.
    Nielsen. (2024). Nielsen annual marketing report 2024 (p. 19). Nielsen.
    Nielsen. (2024). Nielsen annual marketing report 2024 (p. 28). Nielsen.
    註:部分品牌得獎資訊與策略資料來自研究訪談紀錄與業者授權之內部文件,未另公開出版。
    描述: 碩士
    國立政治大學
    經營管理碩士學程(EMBA)
    113932131
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0113932131
    資料類型: thesis
    顯示於類別:[經營管理碩士學程EMBA] 學位論文

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