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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 吳政鴻(Cheng-Hung Wu) | |
dc.contributor.author | Ju Lu | en |
dc.contributor.author | 呂儒 | zh_TW |
dc.date.accessioned | 2021-06-08T02:58:14Z | - |
dc.date.copyright | 2017-08-14 | |
dc.date.issued | 2017 | |
dc.date.submitted | 2017-07-28 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/20677 | - |
dc.description.abstract | 零售業的展店決策問題在過去研究中被廣泛討論,研究者透過預測單店的來客率決定最佳設址位置,然而多數研究者在參數設定上,因缺乏實際資料,大多假設模型參數為定值,這形成一個缺口,模型的參數無法依地區性而有所變化。本研究在誤差最小化下,求解最符合該地區消費行為的模型參數,並進一步建構展店決策模型。透過實際資料找出模型的參數,使模型符合該區消費者行為,亦修改商店面積的參數設定,將原模型中商店面積的邊際遞減效果,修正為先遞增後遞減,並納入其他重要因子:商店位於地下室/地平面、其他競爭者影響(在地傳統市場等)、大眾運輸系統帶來的人流量。透過營業額估計模型預測各店營業額,並依國際會計準則放入成本函數,在追求總體營業淨利最大化下,求出最佳的展店位置與商店面積,提供管理者在區域中有效地找到最佳展店的位置與商店面積,進而使得市場的總利潤最大化。此外,部分零售業者因重視消費者隱私,無提供會員卡等服務來獲得消費者的資料,無法準確分析消費者行為。本研究的模型透過歷史營業額資料與政府公開資料庫資訊,即可準確估計營業額與展店位置,提供零售業者未來行銷與營運決策方面的建議。 | zh_TW |
dc.description.abstract | Estimating the consumer arrival rate of a store to make an optimal location decision was widely discussed in the previous studies. Researchers used the constants to valid the parameters in those models. However, the influences of the parameters are different in various regions; no study has clarified how to fit the parameters with real revenue data. To fill this gap, first, this study constructs the revenue estimating model to find the optimal parameters of the factors minimize the error. Then construct the retail location and store size decision model.
Second, this study modifies the attractiveness function of the store size in Huff model from marginal decreasing curve to sigmoid curve. Moreover, this study includes other important factors such as the influence of the underground site, the influence of other competitiveness, and the influence of the population in the subway station to satisfy the real state. In addition, this study uses International Financial Reporting Standards (IFRSs) to construct the cost function in the model to maximize the operating income by finding out the optimal location and the store size of the new store. This study contributes to the retail managers by providing the suggestion of open a new store and predict the consumer behavior without consumers’ membership card information. By using the historical revenue data and open data from the government can estimate the location and size of new store accurately. | en |
dc.description.provenance | Made available in DSpace on 2021-06-08T02:58:14Z (GMT). No. of bitstreams: 1 ntu-106-R04546016-1.pdf: 3193591 bytes, checksum: 4db0c1965a629c5ecbe5d5290d758a77 (MD5) Previous issue date: 2017 | en |
dc.description.tableofcontents | 誌謝 I
中文摘要 II ABSTRACT III 表目錄 V 圖目錄 VI 第一章 前言 1 1.1 研究背景與動機 1 1.2 研究目的 3 1.3 研究方法 4 第二章 文獻回顧 5 2.1 零售業營業額估計 5 2.2 展店決策 6 2.3 文獻與現況之差異 9 第三章 營業額估計模型 11 3.1 定義研究用語 11 3.2 問題描述與相關假設 12 3.3 模型建構 16 3.4 結果分析 20 第四章 展店決策模型 25 4.1 成本函數研究用語 25 4.2 問題描述與相關假設 25 4.3 模型建構與結果 29 第五章 模型驗證與敏感度分析 35 5.1 模型驗證 35 5.2 敏感度分析 38 第六章 結論 42 參考文獻 44 | |
dc.language.iso | zh-TW | |
dc.title | 考慮競爭者的零售業展店決策模型 | zh_TW |
dc.title | Retail Location and Space Decision with the Considerations of Competitors | en |
dc.type | Thesis | |
dc.date.schoolyear | 105-2 | |
dc.description.degree | 碩士 | |
dc.contributor.oralexamcommittee | 洪一薰(I-Hsuan Hong),黃奎隆(Kwei-Long Huang),藍俊宏(Jakey Blue) | |
dc.subject.keyword | 營業額估計,展店決策,赫夫模型, | zh_TW |
dc.subject.keyword | Revenue estimating model,Retail location and store size decision model,Huff model, | en |
dc.relation.page | 49 | |
dc.identifier.doi | 10.6342/NTU201702014 | |
dc.rights.note | 未授權 | |
dc.date.accepted | 2017-07-30 | |
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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