請用此 Handle URI 來引用此文件:
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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 郭佳瑋 | zh_TW |
| dc.contributor.advisor | Chia-Wei Kuo | en |
| dc.contributor.author | 歐怡君 | zh_TW |
| dc.contributor.author | Yi-Chun Ou | en |
| dc.date.accessioned | 2023-08-11T16:04:49Z | - |
| dc.date.available | 2023-11-09 | - |
| dc.date.copyright | 2023-08-11 | - |
| dc.date.issued | 2023 | - |
| dc.date.submitted | 2023-07-16 | - |
| dc.identifier.citation | 王一芝 (2020)。「拒絕 Uber Eats 50 次、砸錢建串接系統‧獨家直擊鼎泰豐 5 大外送心法」,吳凱琳 (編)。天下雜誌。https://www.cw.com.tw/article/5100666?template=transformers.
Baron, Opher and Chen, Xiaole and Li, Yang. (2022). ”Omnichannel Services: The False Premise and Operational Remedies”. Management Science 69(2):865-884. BBC News Business Reporter. (2021). ”Delivery apps up to 44% more expensive than restaurants”. BBC News (June 17). https://www.bbc.com/news/technology57497997. Bell, David R. and Gallino, Santiago and Moreno, Antonio. (2018). ”Offline Showrooms in Omnichannel Retail: Demand and Operational Benefits”. Management Science 64(4):1629-1651. Biery, Mary Ellen. (2014). ”U.S. Restaurants Seeing Fatter Margins”. Forbes (June 22). https://www.forbes.com/ sites/ sageworks/ 2014/06/22/ us-restaurants-margins/? sh=29b7-e4c43cc3. Cachon, Gérard P.. (2003). ”Supply Chain Coordination with Contracts”. Handbooks in Operations Research and Management Science, Elsevier, Volume 11, Pages 227-339, ISSN 0927-0507, ISBN 9780444513281. Cachon, Gérard P. and Lariviere, Martin A.. (2005). ”Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations”. Management Science 51(1):30-44. Chen, Manlu and Hu, Ming and Wang, Jianfu. (2022). ”Food Delivery Service and Restaurant: Friend or Foe?”. Management Science 68(9):6539-6551. Du, Zhong and Fan, Zhi-Ping and Gao, Guang-Xin. (2021). ”Choice of O2O Food Delivery Mode: Self-built Platform or Third-Party Platform? Self-Delivery or Third-Party Delivery?” IEEE Transactions on Engineering Management. DOI: 10.1109/TEM.2021.3069457. Feldman, Pnina and Frazelle, Andrew E. and Swinney, Robert. (2022). ”Managing Relationships Between Restaurants and Food Delivery Platforms: Conflict, Contracts, and Coordination”. Management Science 69(2):812-823. Gallino, Santiago and Moreno, Antonio. (2014). ”Integration of Online and Offline Channels in Retail: The Impact of Sharing Reliable Inventory Availability Information”. Management Science 60(6):1434-1451. Gao, Fei and Su, Xuanming. (2017). ”Omnichannel Retail Operations with Buy-Online-and-Pick-up-in-Store”. Management Science 63 (8), 2478-2492. Hagiu, Andrei and Wright, Julian. (2021). ”Don't Let Platforms Commoditize Your Business”. Harvard Business Review. https://hbr.org/2021/05/dont-let-platforms-commoditize-your-business Hu, Ming and Xu, Xiaolin and Xue, Weili and Yang, Yi. (2021). ”Demand Pooling in Omnichannel Operations”. Management Science 68(2):883-894. Isaac, Mike and Yaffe-Bellany, David. (2019). ”The Rise of the Virtual Restaurant”. New York Times (August 14). https:// www.nytimes.com/ 2019/08/14/ technology/ uber-eats-ghost-kitchens.html Lariviere, Martin A.. (2015). ”OM Forum—Supply Chain Contracting: Doughnuts to Bubbles”. Manufacturing & Service Operations Management 18(3):309-313. Niu, Baozhuang and Li, Qiyang and Mu, Zihao and Chen, Lei and Ji, Ping. (2021). ” Platform logistics or self-logistics? Restaurants cooperation with online food-delivery platform considering profitability and sustainability”. International Journal of Production Economics. vol. 234, 108064, ISSN 0925-5273. Raj, Manav and Sundararajan, Arun and You, Calum. (2020). ”COVID-19 and Digital Resilience: Evidence from Uber Eats”. General Economics (econ.GN), Computers and Society (cs.CY). DOI: 10.48550/ARXIV.2006.07204. Raj, Manav and Eggers, J. P..(2022). ”When Delivery Comes to Town: Digital Distribution Platform Penetration and Establishment Exit”. Available at SSRN: https://ssrn.com/ abstract=4051874 or http://dx.doi.org/10.2139/ssrn.4051874 See-Kwong, Goh and Soo-Ryue, Ng and Shiun-Yi, Wong and Lily, Chong. (2017).“Out-sourcing to online food delivery services: Perspective of F&B business owners". J. Int. Banking Commerce. vol. 22, no. 2, pp. 1–18. Statista Search Department. (2023). ”Online Food Delivery - United States”. Statista. https://www.statista.com/outlook/dmo/online-food-delivery/united-states Tao, Zhiying and Gou, Qinglong and Zhang, Juzhi. (2020). ”A local seller’s app channel strategy concerning delivery”. International Journal of Production Research. 58:1, 220-255, DOI: 10.1080/00207543.2018.1535725 The Brainy Insight Market Research Report. (2022). ”Online Food Delivery Market Size by Type (Mobile Applications and Websites), Business Model (Order Focused Food Delivery Systems, Full-Service Food Delivery Systems, Logistics-Based Food Delivery Systems, and Others), Payment Method, Regions, Global Industry Analysis, Share, Growth, Trends, and Forecast 2022 to 2030”. The Brainy Insight. https://www.thebrainyinsights.com/report/online-food-delivery-market-12992 Zhang, Yu and Huang, Min and Tian, Lin and Jin, Delong and Cai, Gangshu(George). (2021). ”Build or join a sharing platform? The choice of manufacturer’s sharing mode”. International Journal of Production Economics. Vol. 231, 107811, ISSN 0925-5273. | - |
| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/88391 | - |
| dc.description.abstract | 隨著科技與網路平台的發展,人們對於餐飲的消費習慣也逐漸改變,更仰賴外送平台提供的服務,過去研究認為餐廳的利潤會因為外送平台而減少,但平台也可能為餐廳帶來好處,而在此基礎上,本研究探討餐廳如何與第三方外送平台合作。本研究建立一模型,假設市場上存在一家餐廳與兩家不同的第三方外送平台 -- 高品質與低品質的外送平台,餐廳提供餐點給消費者,在權衡外送平台收取的分潤比例,並將一定比例的分潤成本轉嫁給消費者後,餐廳再決定是否與平台合作。最後,消費者會決定內用、使用任一外送平台或不消費。在我們假設的模型參數下,可以得到餐廳與平台的最適合作策略。我們發現,當兩種平台的服務品質皆遠不及內用時,餐廳只會採取內用策略,而當平台的服務品質提升後,餐廳才會與平台合作。當兩種平台的服務品質與內用相當,甚至超過內用時,餐廳會優先與高品質的平台合作,若低品質平台希望能與餐廳合作,需要以較低的分潤比例進入市場。 | zh_TW |
| dc.description.abstract | With the rapid development of technology and platforms, people's consumption habits of food are changing, and they rely more on the delivery platforms services. Some of past research indicates that the delivery platforms destroy the restaurant's profitability due to the commissions, but platforms may also bring benefits to the restaurants. On this basis, our research explores how will restaurants cooperate with third-party delivery platforms. This thesis establishes a model, there is a restaurant and two kinds of third-party delivery platforms in the market: high-quality and low-quality platforms. The restaurant provides meals to customers, and the restaurant will decide whether to cooperate with the platform depending on the platform's commission rates, and also the restaurant's pass-through rate to customers. In the end, customers will decide to dine-in, use platform service or buy nothing. Under the model parameters we assume, we can characterize the optimal strategies for the restaurant and platforms. We found that when the service quality of the two platforms is much inferior to dine-in, the restaurant will only adopt the dine-in strategy, and when the service quality of the platforms improves, the restaurant will cooperate with the platform. When the service quality of the two platforms is similar to or even better than dine-in, the restaurant will give priority to cooperating with the high-quality platform. If the low-quality platform expect to cooperate with the restaurant, it needs to the lower commission rate to enter the market. | en |
| dc.description.provenance | Submitted by admin ntu (admin@lib.ntu.edu.tw) on 2023-08-11T16:04:49Z No. of bitstreams: 0 | en |
| dc.description.provenance | Made available in DSpace on 2023-08-11T16:04:49Z (GMT). No. of bitstreams: 0 | en |
| dc.description.tableofcontents | Verification Letter from the Oral Examination Committee i
Acknowledgements iii 摘要 v Abstract vii Contents ix List of Figures xi List of Tables xiii Chapter 1 Introduction 1 Chapter 2 Literature 7 Chapter 3 The Model 17 Chapter 4 Analysis 27 4.1 Scenario 1: 0<γL<γH<1 ..................... 27 4.2 Scenario 2: 1<γL<γH<2 ..................... 33 4.3 Scenario 3: 0<γL<1<γH<2 ................... 39 Chapter 5 Numerical Study 47 5.1 Restaurant’s operation choice under Scenario 1 ...... 47 5.2 Restaurant’s operation choice under Scenario 2 ...... 51 5.3 Restaurant’s operation choice under Scenario 3 ...... 53 Chapter 6 Conclusion 57 Appendix A — 65 A.1 Summary of cases in each Scenario...................... 65 A.2 Explanation for the optimal solutions ................. 69 | - |
| dc.language.iso | en | - |
| dc.subject | 最適策略 | zh_TW |
| dc.subject | 隨選服務 | zh_TW |
| dc.subject | 食物外送平台 | zh_TW |
| dc.subject | 多通路營運 | zh_TW |
| dc.subject | 分潤 | zh_TW |
| dc.subject | food delivery platforms | en |
| dc.subject | on-demand services | en |
| dc.subject | omnichannel operations | en |
| dc.subject | optimal strategy | en |
| dc.subject | commission rates | en |
| dc.title | 餐廳與第三方外送平台之最適合作策略 | zh_TW |
| dc.title | Optimal Cooperation Strategies of the Restaurant and the Third Party Delivery Platform | en |
| dc.type | Thesis | - |
| dc.date.schoolyear | 111-2 | - |
| dc.description.degree | 碩士 | - |
| dc.contributor.oralexamcommittee | 余峻瑜;孔令傑;黃奎隆 | zh_TW |
| dc.contributor.oralexamcommittee | Jiun-Yu Yu;Ling-Chieh Kung;Kwei-Long Huang | en |
| dc.subject.keyword | 最適策略,食物外送平台,隨選服務,多通路營運,分潤, | zh_TW |
| dc.subject.keyword | optimal strategy,food delivery platforms,on-demand services,omnichannel operations,commission rates, | en |
| dc.relation.page | 76 | - |
| dc.identifier.doi | 10.6342/NTU202301534 | - |
| dc.rights.note | 同意授權(全球公開) | - |
| dc.date.accepted | 2023-07-17 | - |
| dc.contributor.author-college | 管理學院 | - |
| dc.contributor.author-dept | 商學研究所 | - |
| 顯示於系所單位: | 商學研究所 | |
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