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http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97732完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 陳家麟 | zh_TW |
| dc.contributor.advisor | Chia-Lin Chen | en |
| dc.contributor.author | 廖思嘉 | zh_TW |
| dc.contributor.author | Szu-Chia Liao | en |
| dc.date.accessioned | 2025-07-16T16:05:27Z | - |
| dc.date.available | 2025-07-17 | - |
| dc.date.copyright | 2025-07-16 | - |
| dc.date.issued | 2025 | - |
| dc.date.submitted | 2025-07-05 | - |
| dc.identifier.citation | 英文文獻
1. Mangiaracina, R., Perego, A., Seghezzi, A., & Tumino, A. (2019). Innovative solutions to increase last-mile delivery efficiency in B2C e-commerce: a literature review. International Journal of Physical Distribution & Logistics Management, 49(9), 901-920. 2. Boysen, N., Fedtke, S., & Schwerdfeger, S. (2021). Last-mile delivery concepts: a survey from an operational research perspective. Or Spectrum, 43(1), 1-58. 3. Rodrigue, J. P. (2020). The distribution network of Amazon and the footprint of freight digitalization. Journal of transport geography, 88, 102825. 4. Arnold, F., Cardenas, I., Sörensen, K., & Dewulf, W. (2018). Simulation of B2C e-commerce distribution in Antwerp using cargo bikes and delivery points. European transport research review, 10, 1-13. 5. Masteguim, R., & Cunha, C. B. (2022). An optimization-based approach to evaluate the operational and environmental impacts of pick-up points on E-commerce urban last-mile distribution: a case study in são paulo, Brazil. Sustainability, 14(14), 8521. 6. Bandara, K., Shi, P., Bergmeir, C., Hewamalage, H., Tran, Q., & Seaman, B. (2019). Sales demand forecast in e-commerce using a long short-term memory neural network methodology. 7. In Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part III 26 (pp. 462-474). Springer International Publishing. 網路參考資料 1.天下雜誌,大客戶蝦皮打算自己做物流 四大超商將大失血?https://www.cw.com.tw/article/5127531 2.數位時代,3大電商「快物流」戰場解析!momo、PChome、蝦皮如何籌建最後一哩路 https://www.bnext.com.tw/article/65929/e-commerce-build-logistics 3.數外時代,【圖解】統一入股網家有望打造最大零售物流!蝦皮店到店日均包裹破10萬,電商物流變化一次 https://www.bnext.com.tw/article/81744/taiwan-e-commerce-map? 4.專家觀點,國內電商大混戰,誰是最終贏家?https://www.tejwin.com/insight%E5%9C%8B%E5%85%A7%E9%9B%BB%E5%95%86%E5%A4%A7%E6%B7%B7%E6%88%B0%E8%AA%B0%E6%98%AF%E6%9C%80%E7%B5%82%E8%B4%8F%E5%AE%B6/ 5.未來流通,【商業數據圖解】台灣電商產業的二次革命:2030台灣「電商產業」板塊變化與市場預測 https://www.mirai.com.tw/the-changing-landscape-and-market-forecast-of-taiwans-e-commerce-industry-by-2030/ 6. LALAMOVE,什麼是「最後一哩運送」?帶你認識它所帶來的四大好處!https://www.lalamove.com/zh-tw/blog/%E4%BB%80%E9%BA%BC%E6%98%AF%E6%9C%80%E5%BE%8C%E4%B8%80%E5%93%A9%E9%81%8B%E9%80%81%E4%BB%A5%E5%8F%8A%E4%BD%A0%E7%9A%84%E5%85%AC%E5%8F%B8%E7%82%BA%E4%BB%80%E9%BA%BC%E9%9C%80%E8%A6%81%E5%A4%96%E5%8C%85%E5%AE%83 7. 美股資訊網,Sea 冬海集團(SE)法說會財報分析 2025Q1 電話會議重點 https://finguider.cc/Article/ArticleIndex/1537 | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/97732 | - |
| dc.description.abstract | 在電商蓬勃發展與物流末端服務需求日益提升的背景下,各大平台紛紛投入建構自有取貨點系統,藉以強化履約效率與顧客體驗。台灣市場中,蝦皮購物推出的「店到店」自助取件服務,便是結合無人化設備、智慧櫃與便利地點等元素的創新物流模式,快速擴張全台據點,成為消費者常用的取貨選項之一。然而,伴隨服務規模成長與操作流程全面自助化,其實際營運與使用者體驗也浮現出許多挑戰與改進空間。
本研究選用個案研究法,以「蝦皮店到店」為研究對象,透過蒐集次級資料、實地觀察與半結構式訪談,深入探討其取件服務的實際運作與使用者感受。研究方法上,採用 Alex Osterwalder 所提出的「價值主張圖(Value Proposition Canvas)」分析框架,分別繪製企業端所提供的價值主張圖,以及從用戶觀點出發的顧客素描圖,進而進行雙方價值適配分析,檢視其服務設計是否真正回應顧客需求與痛點。 研究結果顯示,蝦皮店到店在提供彈性取件時間、取件點密集度高、配送成本優化等面向,成功契合用戶對便利性與效率的期待,展現出高度價值適配性。然而,本研究亦觀察到在全自助流程下,存在如包裹遺落、櫃位誤領、退貨操作不清與繳費設備故障等風險節點,這些問題反映出目前營運設計在流程正確性、防錯機制與現場應變能力上的不足。 因此,本研究進一步提出優化建議,包括導入智慧防呆機制(如重量感測、RFID 標籤、AI 識別)、強化櫃位清空 SOP、重新設計退貨引導流程與設備維運機制,並從品牌策略面強化透明的異常通知與即時回報功能,以全面提升用戶信任與服務穩定性。 本研究期望透過價值主張與價值適配的視角,協助蝦皮更深入理解使用者真實需求,並提供電商物流業者在拓展自建取貨網絡時的營運思維與設計參考。 | zh_TW |
| dc.description.abstract | As e-commerce continues to thrive, logistics providers are increasingly turning to self-service pickup points to enhance last-mile delivery efficiency. In Taiwan, Shopee’s Pickup Store has rapidly expanded through unmanned locker systems and digital payment integration, aiming to offer users a fast and cost-effective pickup experience. However, as the service grows, issues such as lost parcels, unclear return steps, and equipment failures have surfaced, raising questions about its overall reliability and user-friendliness.
This thesis adopts Shopee Pickup Store as a case study, using a mixed-method approach that includes field observation, secondary data analysis, and user interviews. Guided by Osterwalder’s Value Proposition Canvas, it constructs a value map from Shopee’s service offerings and a customer profile based on real user feedback. The two are then cross-analyzed to evaluate the degree of value fit. Findings reveal that while Shopee Pickup Store effectively meets user needs for speed and accessibility, it struggles with operational blind spots caused by its fully self-service model. The thesis suggests improvements such as intelligent anti-error mechanisms, clearer UI/UX for returns, and stronger on-site contingency support. These insights aim to help Shopee refine its user experience and reinforce its long-term competitive edge in smart logistics. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2025-07-16T16:05:27Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2025-07-16T16:05:27Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | 口試委員會審定書 1
致謝 II 中文摘要 III Abstract IV 目次 V 圖 次 VII 表 次 VIII 第一章 緒論 1 1-1 研究背景 1 1-2 研究動機 2 1-3 研究目的 2 第二章 文獻探討 4 2-1 電商取貨點概念的興起 4 2-2 商業模式 5 2-3 價值主張 11 第三章 研究架構與方法 16 3-1 研究架構與流程 16 3-2 個案研究法 17 3-3 資料收集方法 18 第四章 個案公司分析 21 4-1 蝦皮母公司-冬海集團介紹與財務表現 21 4-2 蝦皮智取店的設立背景與簡介 27 4-3 商業模式與運作方式 32 第五章 價值主張與用戶素描之適配分析 35 5-1 蝦皮智取店之用戶素描 35 5-2 價值適配分析 47 5-3 蝦皮智取店價值主張圖 59 5-4 以九要素模型分析蝦皮店到店現行商業模式 63 第六章 研究結論與建議 66 6-1 結論 66 6-2 研究限制 67 參考文獻 68 附錄一 蝦皮智取店使用者訪談綱要 70 | - |
| dc.language.iso | zh_TW | - |
| dc.subject | 自助取件 | zh_TW |
| dc.subject | 價值適配 | zh_TW |
| dc.subject | 蝦皮店到店 | zh_TW |
| dc.subject | 商業模式 | zh_TW |
| dc.subject | 價值主張法 | zh_TW |
| dc.subject | 取貨點 | zh_TW |
| dc.subject | Value Fit | en |
| dc.subject | Business Model | en |
| dc.subject | Value Proposition Method | en |
| dc.subject | Self-Service Pickup | en |
| dc.subject | Shopee Pickup Store | en |
| dc.subject | Last-mile Delivery | en |
| dc.title | 台灣取貨點價值主張與價值適配之研究 —以蝦皮智取店為例 | zh_TW |
| dc.title | Exploring the Value Proposition and Value Fit of Pickup Points in Taiwan — A Case Study of Shopee Express | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 113-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.coadvisor | 李杭 | zh_TW |
| dc.contributor.coadvisor | Hang Li | en |
| dc.contributor.oralexamcommittee | 張佳欽;秦時雋 | zh_TW |
| dc.contributor.oralexamcommittee | Chia-Chin Chang;Shih-Chun Chin | en |
| dc.subject.keyword | 蝦皮店到店,取貨點,自助取件,價值主張法,商業模式,價值適配, | zh_TW |
| dc.subject.keyword | Shopee Pickup Store,Self-Service Pickup,Last-mile Delivery,Business Model,Value Proposition Method,Value Fit, | en |
| dc.relation.page | 71 | - |
| dc.identifier.doi | 10.6342/NTU202501260 | - |
| dc.rights.note | 未授權 | - |
| dc.date.accepted | 2025-07-08 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 商學研究所 | - |
| dc.date.embargo-lift | N/A | - |
| 顯示於系所單位: | 商學研究所 | |
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