Responsive image
博碩士論文 etd-0604123-154015 詳細資訊
Title page for etd-0604123-154015
論文名稱
Title
從銷售到幫助: 打造以使用者體驗為中心的電商平台
From Sell to Help: Building a User-Centered E-commerce Platform
系所名稱
Department
畢業學年期
Year, semester
語文別
Language
學位類別
Degree
頁數
Number of pages
82
研究生
Author
指導教授
Advisor
召集委員
Convenor
口試委員
Advisory Committee
口試日期
Date of Exam
2023-06-21
繳交日期
Date of Submission
2023-07-04
關鍵字
Keywords
電子商務平台、促發效果、使用者體驗、涉入螺旋、中間選擇清單
e-commerce platform, priming effect, user experience, involvement spirals, Intermediate choice list
統計
Statistics
本論文已被瀏覽 65 次,被下載 5
The thesis/dissertation has been browsed 65 times, has been downloaded 5 times.
中文摘要
台灣綜合型電商平台如momo、蝦皮及PChome將競爭焦點放在「多、好、省、快」四大策略上。隨個人化數位的體驗浪潮下,這些功利性價值已無法再吸引消費者。許多研究及社群論壇也指出台灣購物平台介面雜亂且難閱讀,並頻繁使用激烈的促銷折價字眼(如狂殺5折起等)推測會提高消費者的價格敏感度。因此本研究以促發效果探究台灣電商介面問題與及橫幅廣告文案撰寫方式是否會造成消費者的促銷傾向與價格意識改變;結合中間選擇清單(ICL)功能,提出符合電商的AIMMA消費者行為模型;基於黏性消費旅程(The Sticky Journey Model)之涉入螺旋(Involvement Spirals)概念,探討美國電商平台Amazon首頁與商品頁介面及台灣設計師購物平台Pinkoi如何打造順暢且令人興奮設計元素與功能增加對平台的黏著度,期望給予電商業者具體介面設計之建議。
本研究共執行兩種研究方法:第一,折扣促發採隨機化實驗控制組後測設計,實驗組接受促銷文字及橫幅廣告圖片刺激,繼之測量對受試者的促銷傾向及價格意識,研究結果顯示實驗組與控制組的促銷傾向及價格意識有顯著不同。第二,利用焦點團體法讓受訪者透過團體交流分享使用台灣電商平台經驗優缺點、瀏覽平台時的購物行為及程序,並以Amazon的首頁、商品頁及網紅計畫、Pinkoi的「找靈感」及「禮物清單」功能為探討範本,了解這些設計是否能提升購買決策效率及使用體驗。
根據實驗與訪談研究結果提出以下建議:將賣場中商品圖片影片、社群網紅開箱影片及顧客評論等資訊豐富化,讓消費者所有決策行為都在平台上完成,避免轉移至其他平台搜尋資料及購買;將促銷優惠資訊、限時下殺商品集中於專屬分類頁面,而平台首頁讓用戶選擇自己有興趣的類別及根據過去瀏覽紀錄利用演算法打造個人化介面;在賣場設計不定時低難度且不費時的賺優惠券小遊戲;平台邀請網紅推行分潤合作計畫,網紅可以製作電商的商品推薦清單頁面吸引追蹤者瀏覽。
Abstract
Taiwan's B2B2C e-commerce platforms have focused on the following strategy "more, better, cheaper, faster." However, the benefits of utilitarian value are no longer attracted by modern consumers who want personalized digital experiences. Also, some studies pointed out that the interface design of e-commerce is like traditional EDM and frequently employs aggressive promotional discount phrases which are speculated to increase consumers' price sensitivity. This first purpose of this study is to explain the Taiwan e-commerce interface problems with priming effect. Second, by incorporating the ICL, AIDMA and AISAS consumer behavior model, AIMMA model that suits e-commerce is proposed. Furthermore, based on the concept of Involvement Spirals, this study is conducted into how the homepage and product web page interfaces of Amazon and Pinkoi create smooth and what kinds of designing elements and functions to enhance platform stickiness.
Two research methods are employed: a discount priming randomized controlled posttest design, where the experimental group is exposed to multiple promotional texts and banner ad images, and focus group method where interviewees share their experiences and ideas.
The findings suggest that enriching product information including product images, videos, unboxing videos, and customer reviews in order to ensure that consumers can complete all decision-making processes on the platform. Next, promotional campaigns and limited-time discounts products are shown at the category pages, while allowing users to customize the platform homepage based on their own interests using algorithms and browsing history. Third, designing low-difficulty Pop-up games with coupon-earning. Last, establishing profit-sharing collaborations between the platform and influencers to create recommended product lists by social influencers.
目次 Table of Contents
論文審定書i
摘要ii
Abstractiii
第壹章 緒論1
第一節 研究背景1
第二節 研究動機與目的2
第貳章 文獻探討6
第一節 台灣前三大綜合型電商平台簡介6
第二節 促發效果8
第三節 促銷傾向9
第四節 價格意識9
第五節 選擇弔詭10
第六節 中間選擇清單11
第七節 消費者行為模型的演變12
第八節 忠誠度循環與涉入螺旋16
第九節 Amazon與Pinkoi介面與功能分析18
第參章 研究流程與問題30
第一節 研究流程圖30
第二節 研究假設與問題31
第肆章 折扣促發實驗設計與分析32
第一節 研究設計方式32
第二節 研究變數定義與衡量35
第三節 折扣促發實驗結果分析36
第伍章 焦點團體法40
第一節 焦點團體法定義40
第二節 研究資料搜集40
第三節 研究發現與分析43
第陸章 結論與建議52
第一節 研究結論52
第二節 研究貢獻55
第三節 研究限制與未來建議56
參考文獻57
附錄64
附錄一 折扣促發實驗問卷64
附錄二 訪談逐字稿69
參考文獻 References
外文部分
Babin, B. J., Darden, W. R., & Griffin, M. (1994). Work and/or fun: measuring hedonic and utilitarian shopping value. Journal of consumer research, 20(4), 644-656.
Belsky, G., & Gilovich, T. (2010). Why smart people make big money mistakes and how to correct them: Lessons from the life-changing science of behavioral economics. Simon and Schuster.
Bleier, A., Harmeling, C. M., & Palmatier, R. W. (2019). Creating effective online customer experiences. Journal of marketing, 83(2), 98-119.
Bruce, L. M., Koger, C. H., & Li, J. (2002). Dimensionality reduction of hyperspectral data using discrete wavelet transform feature extraction. IEEE Transactions on geoscience and remote sensing, 40(10), 2331-2338.
Close, A. G., & Kukar-Kinney, M. (2010). Beyond buying: Motivations behind consumers' online shopping cart use. Journal of Business Research, 63(9-10), 986-992.
DelVecchio, D. (2005). Deal‐prone consumers' response to promotion: The effects of relative and absolute promotion value. Psychology & Marketing, 22(5), 373-391.
Dodds, W. B., & Monroe, K. B. (1985). The effect of brand and price information on subjective product evaluations. ACR North American Advances.
Edelman, D. C., & Singer, M. (2015). Competing on customer journeys. Harvard Business Review, 93(11), 88–100.
Erickson, G. M., & Johansson, J. K. (1985). The role of price in multi-attribute product evaluations. Journal of consumer research, 12(2), 195-199.
Flavián, C., & Gurrea, R. (2008). Reading newspapers on the Internet: the influence of web sites' attributes. Internet research.
Frow, P., Payne, A. Towards the ‘perfect’ customer experience. J Brand Manag 15, 89–101 (2007). https://doi.org/10.1057/palgrave.bm.2550120
Guba, E. G. (Ed.). (1990). The paradigm dialog. Sage Publications, Inc.
Hall, S. R. (1924). Retail Advertising and Selling: Advertising, Merchandise Display, Sales-planning, Salesmanship, Turnover and Profit-figuring in Modern Retailing, Including" Principles of Typography as Applied to Retail Advertising". McGraw-Hill book Company, Incorporated.
Hamilton, R., & Price, L. L. (2019). Consumer journeys: Developing consumer-based strategy. Journal of the Academy of Marketing Science, 47, 187-191.
Harrison, T., K. Waite and P. White (2006): “Analysis by Paralysis: the Pension Purchase Decision Process.” International Journal of Bank Marketing, 24(1), 5–23.
Häubl, G., & Trifts, V. (2000). Consumer decision making in online shopping environments: The effects of interactive decision aids. Marketing science, 19(1), 4-21.
Hoffman, D. L., & Novak, T. P. (2005). A conceptual framework for considering web-based business models and potential revenue streams. International Journal of Marketing Education, 1(1), 7-34.
Iyengar, S. S., & Lepper, M. R. (2000). When choice is demotivating: Can one desire too much of a good thing?. Journal of personality and social psychology, 79(6), 995.
Jennings, G., Lee, Y. S., Ayling, A., Lunny, B., Cater, C., & Ollenburg, C. (2009). Quality tourism experiences: Reviews, reflections, research agendas. Journal of Hospitality Marketing & Management, 18(2-3), 294-310.
Krueger, R.A. and Casey, M.A. (2000) Focus groups: A practical guide for applied research. Sage Publications Inc, Thousand Oaks.
Kukar-Kinney, M., Close, A.G. (2010) The determinants of consumers’ online shopping cart abandonment. J. of the Acad. Mark. Sci. 38, 240–250 https://doi.org/10.1007/s11747-009-0141-5
Lange, J. K. (2002, November). Richard A. Krueger & Mary Anne Casey (2000). Focus groups. A practical guide for applied research. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. 3, No. 4).
Lichtenstein, D. R., Netemeyer, R. G., & Burton, S. (1990). Distinguishing coupon proneness from value consciousness: An acquisition-transaction utility theory perspective. Journal of marketing, 54(3), 54-67.
Nenkov, G. Y., & Scott, M. L. (2014). “So cute I could eat it up”: Priming effects of cute products on indulgent consumption. Journal of Consumer Research, 41(2), 326-341.
Nunnally, J. C., Knott, P. D., Duchnowski, A., & Parker, R. (1967). Pupillary response as a general measure of activation. Perception & psychophysics, 2, 149-155.
Pandey, A. K., & Desai, J. (2020). Analysing the Paralysis: Inquiry into the Paradox of Choices in Online Apparel Shopping. Our Heritage, 68(22), 101-123.
Popovich, D., & Hamilton, R. (2021). Intermediate choice lists: How product attributes influence purchase likelihood in a self-imposed delay. Journal of Retailing, 97(2), 251-266.
Ranganathan, C., & Ganapathy, S. (2002). Key dimensions of business-to-consumer web sites. Information & management, 39(6), 457-465.
Saima & M. Altaf Khan (2021) Effect of Social Media Influencer Marketing on Consumers’ Purchase Intention and the Mediating Role of Credibility, Journal of Promotion Management, 27:4, 503-523, DOI: 10.1080/10496491.2020.1851847
Schwartz, S. (2006). A theory of cultural value orientations: Explication and applications. Comparative sociology, 5(2-3), 137-182.
Siebert, A., Gopaldas, A., Lindridge, A., & Simões, C. (2020). Customer experience journeys: Loyalty loops versus involvement spirals. Journal of Marketing, 84(4), 45-66.
Stewart, D. W., & Shamdasani, P. N. (1990). Focus groups: Theory and practice. Sage Publications, Inc.
Sugiyama, K., & Andree, T. (2011). The dentsu way. by Dentsu Inc..
Tellis, G. J., & Gaeth, G. J. (1990). Best value, price-seeking, and price aversion: The impact of information and learning on consumer choices. Journal of marketing, 54(2), 34-45.
Vohs, K. D. (2015). Money priming can change people’s thoughts, feelings, motivations, and behaviors: An update on 10 years of experiments. Journal of Experimental Psychology: General, 144(4), e86.
Webster Jr, F. E. (1965). The “deal-prone” consumer. Journal of Marketing Research, 2(2), 186-189.
You, Jiye. (2020). The Priming Effect of Price Display and Banner Advertising on Online Consumers’ Price Sensitivity. Retrieved from the University of Minnesota Digital Conservancy, https://hdl.handle.net/11299/216762.
Zaichkowsky, J. L. (1994). The personal involvement inventory: Reduction, revision, and application to advertising. Journal of advertising, 23(4), 59-70.

中文部分
CYBERBIZ(2021)利用快速到貨服務,迅速攻占價值5000億元的禮物市場。https://www.cyberbiz.io/blog/%E5%BF%AB%E9%80%9F%E5%88%B0%E8%B2%A8%E7%A6%AE%E7%89%A9/
Evonne Tsai(2020)親愛的PChome:其實momo購物網早已和你走在不一樣的路上了!數位時代。https://www.bnext.com.tw/article/60117/pchome-momo
Think with Google(2018)更好奇、更有主導性、更少耐心:迎接行動輔助時代下的新型態消費者。https://www.thinkwithgoogle.com/intl/zh-tw/consumer-insights/consumer-journey/%E8%A1%8C%E5%8B%95%E8%BC%94%E5%8A%A9%E6%99%82%E4%BB%A3%E4%B8%8B%E7%9A%84%E6%96%B0%E5%9E%8B%E6%85%8B%E6%B6%88%E8%B2%BB%E8%80%85/
Think with Google(2022)2022 智慧消費關鍵報告:共好價值心商務。https://www.thinkwithgoogle.com/intl/zh-tw/consumer-insights/consumer-trends/2022-%E6%99%BA%E6%85%A7%E6%B6%88%E8%B2%BB%E9%97%9C%E9%8D%B5%E5%A0%B1%E5%91%8A-%E5%85%B1%E5%A5%BD%E5%83%B9%E5%80%BC%E5%BF%83%E5%95%86%E5%8B%99/
Yahoo!新聞(2022)樂迎邊境解封! 行李箱.旅行用品需求飆升https://tw.stock.yahoo.com/news/%E6%A8%82%E8%BF%8E%E9%82%8A%E5%A2%83%E8%A7%A3%E5%B0%81-%E8%A1%8C%E6%9D%8E%E7%AE%B1-%E6%97%85%E8%A1%8C%E7%94%A8%E5%93%81%E9%9C%80%E6%B1%82%E9%A3%86%E5%8D%87-051100618.html
林慧君. (2009). 涉入及產品知識對消費者購買決策之研究—以室內裝修業為例 (Doctoral dissertation).
邱新瀚(2022)。以排行榜與線上評論為依據的行動遊戲推薦策略效能比較。﹝碩士論文。國立屏東科技大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/j33ggy。
范綺軒(2022)。「目的性搜索」及「探索性瀏覽」購物行為於電商平台購物流程之中間選擇清單的使用需求與文化差異性研究。﹝碩士論文。國立成功大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/5fsus9。
徐欽盛(2017)。「AISAS模式」的最佳例證!5大重點解析世大運行銷。https://www.smartm.com.tw/article/34313831cea3
郭貞(2015)。Web 2.0 時代台灣消費者購物模式的轉變:檢驗 AISAS 網路消費模式。中華傳播學刊,第二十七期,頁139-165。
陳俊賢(2022)。顧客體驗管理策略評估:以顧客體驗旅程之參與螺旋為觀點。﹝博士論文。國立高雄科技大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/kbr27k。
陶宗怡(2010)。價格知覺向度對旅遊紀念品價值意識之影響。﹝碩士論文。輔仁大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/7hjax4。
彭延喜、陶聖屏(2009)。〈彩妝部落格資訊搜尋者生活型態與購買行為之研究〉,《廣告學研究》,32: 91-123。
曾忠蕙. (2012). 贈品促銷中價格訊息的內在評估機制之實證研究. 中山管理評論, 20(3), 945-986.
黃任強(2022)雙11搶便宜賺到了?2網站秒查出「歷史價格」網揭黑幕:虧很大。CTWANT。https://www.ctwant.com/article/219428
黃瑜峰, 陳韋婷, & 郭峰淵. (2013). 正向情緒與誘餌效應對消費者決策行為的影響. 中山管理評論, 21(4), 743-767.
資策會(2022)【電商購物節大調查】2022電商購物節消費年成長44% 年均消21,728中高齡族群最響應電商造節 北部消費力拉高整體平均。https://mic.iii.org.tw/news.aspx?id=632
鄒秀明(2022)造節不斷使消費者疲乏 Meta發表購物季行銷指南提解方。經濟日報。https://money.udn.com/money/story/5612/6609389
趙庭萱(2021)。推薦人及影片所呈現的信號對消費者購買意圖的影響—以YouTuber為例。﹝碩士論文。國立聯合大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/ep95r5。
劉冠吟(2012)。消費者創新性、價格意識、知覺風險對零售商自有品牌的品牌評價影響之研究-以家樂福為例。﹝碩士論文。國立高雄應用科技大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/95f6dh。
鄭恩維(2008)。國內外著名購物網站使用者介面設計之研究。﹝碩士論文。國立臺灣藝術大學﹞臺灣博碩士論文知識加值系統。 https://hdl.handle.net/11296/g92kxc。
電子全文 Fulltext
本電子全文僅授權使用者為學術研究之目的,進行個人非營利性質之檢索、閱讀、列印。請遵守中華民國著作權法之相關規定,切勿任意重製、散佈、改作、轉貼、播送,以免觸法。
論文使用權限 Thesis access permission:校內校外完全公開 unrestricted
開放時間 Available:
校內 Campus: 已公開 available
校外 Off-campus: 已公開 available


紙本論文 Printed copies
紙本論文的公開資訊在102學年度以後相對較為完整。如果需要查詢101學年度以前的紙本論文公開資訊,請聯繫圖資處紙本論文服務櫃台。如有不便之處敬請見諒。
開放時間 available 已公開 available

QR Code