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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
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dc.contributor.advisor | 周雍強 | |
dc.contributor.author | Cian-Cih Lan | en |
dc.contributor.author | 藍千慈 | zh_TW |
dc.date.accessioned | 2021-06-17T08:43:09Z | - |
dc.date.available | 2020-08-13 | |
dc.date.copyright | 2019-08-13 | |
dc.date.issued | 2019 | |
dc.date.submitted | 2019-08-07 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/74567 | - |
dc.description.abstract | 隨著時代演進,愈來愈多經營品牌的供應商不僅開啟了線上通路,也選擇了多通路策略。與過去雙重通路文獻不同的是,本研究以雙重線上通路-直接通路、平台通路作為研究範圍,且兩個通路的定價者皆為供應商。因為供應商總收益來自兩個通路,所以不同通路須在競爭關係之下共存,供應商如何在電商平台採用兩部收費契約獲取部分收益的情況下,為不同通路進行定價進而最大化收益,各項參數又是如何影響供應商,是本研究的第一個部分。
而服務在現今社會中愈顯重要,當供應商試圖推出新服務於直接通路來達到特定目的時,是否能察覺此舉帶來的改變便成了一個問題。本研究的第二部分,欲藉由貝式學習來追蹤特定參數,進而了解提供服務對消費者產生的影響,並以此作為重新定價的依據,達到動態決策的效果。 | zh_TW |
dc.description.abstract | An increasing number of branding suppliers have developed online channels and adopted the multi-channel strategy. Different from previous studies on traditional dual-channel systems, this study focused on online dual-channel systems, namely direct channel and business to business to consumer (B2B2C) channel, and the product prices on these two channels are set by suppliers. Because the suppliers earn their total revenue from the two channels, the channels have to coexist under a competitive relationship. Therefore, this study first investigated how suppliers price their products in different channels to maximize their revenue when e-commerce platforms use two-part tariff to obtain partial revenue, as well as how various parameters influence the suppliers.
Service has been increasingly crucial in today’s society. When suppliers intend to launch new services in direct channels to achieve a specific goal, whether they are aware of the resulting changes is a question worthy of investigation. Accordingly, the second part of this study used Bayesian learning to track certain parameters to understand the effect of service on consumers. The result was then used as the basis for repricing to achieve dynamic decision-making. | en |
dc.description.provenance | Made available in DSpace on 2021-06-17T08:43:09Z (GMT). No. of bitstreams: 1 ntu-108-R06546051-1.pdf: 2423420 bytes, checksum: d14c8e4a45e791d64e06acc3834e2773 (MD5) Previous issue date: 2019 | en |
dc.description.tableofcontents | 口試委員會審定書 #
誌謝 i 中文摘要 ii ABSTRACT iii CONTENTS iv LIST OF FIGURES vi LIST OF TABLES vii Chapter 1 緒論 1 1.1 研究背景 1 1.2 研究目的 6 1.3 研究問題 11 1.4 研究限制 12 Chapter 2 文獻探討 13 2.1 多通路與雙重通路 13 2.1.1 多通路 13 2.1.2 雙重通路 15 2.2 服務 19 2.2.1 主導邏輯 19 2.2.2 雙重通路文獻中對服務的定義 22 2.2.3 服務帶來的影響 23 2.3 貝式學習 25 Chapter 3 研究方法 29 3.1 研究前工作 29 3.2 研究範圍與前提假設 29 3.3 制定需求與收益函數 31 3.4 制定服務與交叉價格敏感度及需求變異之間的關係 32 3.5 投入服務前之定價決策研究步驟 33 3.6 投入服務後之定價決策研究步驟 34 Chapter 4 研究結果 37 4.1 投入服務前的定價決策 37 4.1.1 比較靜態求解 37 4.1.2 數值分析 39 4.2 投入服務後的定價決策 58 4.2.1 情境選擇與說明 58 4.2.2 數值分析 59 Chapter 5 結論與未來研究方向 64 5.1 結論 64 5.2 未來研究方向 64 參考文獻 66 | |
dc.language.iso | zh-TW | |
dc.title | 雙重線上通路之不同服務情境下的供應商定價決策 | zh_TW |
dc.title | Supplier’s Pricing Decisions under Different Service Scenarios in Dual Online Channels | en |
dc.type | Thesis | |
dc.date.schoolyear | 107-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 洪一薰,藍俊宏 | |
dc.subject.keyword | 雙重線上通路,兩部收費契約,定價,服務價值,貝式學習, | zh_TW |
dc.subject.keyword | dual online channel,two-part tariff,pricing,service value,Bayesian learning, | en |
dc.relation.page | 70 | |
dc.identifier.doi | 10.6342/NTU201902433 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2019-08-07 | |
dc.contributor.author-college | 工學院 | zh_TW |
dc.contributor.author-dept | 工業工程學研究所 | zh_TW |
顯示於系所單位: | 工業工程學研究所 |
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