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| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.advisor | 曹承礎 | |
| dc.contributor.author | Long Qian | en |
| dc.contributor.author | 錢龍 | zh_TW |
| dc.date.accessioned | 2021-06-17T07:39:47Z | - |
| dc.date.available | 2029-02-15 | |
| dc.date.copyright | 2019-02-20 | |
| dc.date.issued | 2018 | |
| dc.date.submitted | 2019-02-15 | |
| dc.identifier.citation | 第七章 參考文獻
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| dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/73522 | - |
| dc.description.abstract | 共享經濟的高速發展，對於現有的經濟體系產生了不可忽視的影響，共享經濟對於存量資源進行優化的根本屬性，使得它從誕生開始，就受到資本市場的青睞和追捧。Airbnb平台作為共享經濟的代表性產品之一，一定程度上改變了人們的出行方式，使得人們的出行有了更多的選擇。本文通過對Airbnb上14個不同國家的44個城市近三年的數據進行深度篩選分析，通過差異對比等方法，探討了不同文化背景下Airbnb的定價曲線和所在國經濟走勢之間的聯繫。隨後，對價格曲線的變化範圍區間進行分析，通過應用統計學的相關知識，結合股票分析工具布林線，肯定了共享經濟在穩定市場價格上做出的貢獻。 | zh_TW |
| dc.description.abstract | The rapid development of the sharing economy has had a negligible impact on the existing economic system. The fundamental attribute of the sharing economy to optimize the stock resources has made it popular and sought after by the capital market. As one of the representative products of the sharing economy, the Airbnb platform has changed the way people travel, which has made people have more choices for make decision. Through in-depth screening and analysis of data from 44 cities in 14 different countries on Airbnb, this paper explores the relationship between Airbnb's pricing curve and the economic trend of the host country through different methods. Subsequently, the range of variation of the price curve is analyzed. By applying the relevant knowledge of statistics and combining the stock analysis tool Bollinger Band, the contribution of the sharing economy to the stable market price is affirmed. | en |
| dc.description.provenance | Made available in DSpace on 2021-06-17T07:39:47Z (GMT). No. of bitstreams: 1 ntu-107-R04921096-1.pdf: 9300565 bytes, checksum: 3c9efae5163c05d682afca22141f3aa5 (MD5) Previous issue date: 2018 | en |
| dc.description.tableofcontents | 目 錄
誌 謝 i 論文摘要 ii ABSTRACT iii 表目錄 vi 圖目錄 vii 第一章 序言 1 第一節 研究動機 1 第二節 研究目的 2 第三節 研究流程 3 第二章 文獻探討 4 第一節 共享經濟的理論知識回顧 4 第二節Airbnb相關研究论文 6 第三章 研究模型和方法 8 第一節 研究模型 8 第二節 研究變量 8 第三節 研究假設 8 第四節 研究方法 9 第四章 研究過程 11 第五章 總體分析以及個案研討 21 第一節 Airbnb房屋數量隨時間增長的情況 21 1. Netherland 21 2. Spain 22 3. Germany 23 4. Switzerland 24 5. France 25 6. Austria 26 7. Australia 27 8. United States 28 第二節 各國GDP以及房價走勢和Airbnb走勢之間的關係 33 1. Netherlands 33 2. Spain 36 3. Germany 39 4. Switzerland 41 5. France 44 6. Austria 47 7. Australia 49 8. United States 52 第六章 結論與展望 65 第七章 參考文獻 66 | |
| dc.language.iso | zh-TW | |
| dc.title | 共享經濟在不同文化背景下的研究：以Airbnb為實例 | zh_TW |
| dc.title | The research on sharing economy in different culture background through Airbnb | en |
| dc.type | Thesis | |
| dc.date.schoolyear | 107-1 | |
| dc.description.degree | 碩士 | |
| dc.contributor.oralexamcommittee | 陳鴻基,周子元 | |
| dc.subject.keyword | 共享經濟,Airbnb,經濟學,機器學習,布林圖, | zh_TW |
| dc.subject.keyword | Sharing Economy,Airbnb,Economics,Machine learning,Bollinger Bands, | en |
| dc.relation.page | 67 | |
| dc.identifier.doi | 10.6342/NTU201900504 | |
| dc.rights.note | 有償授權 | |
| dc.date.accepted | 2019-02-17 | |
| dc.contributor.author-college | 管理學院 | zh_TW |
| dc.contributor.author-dept | 資訊管理學研究所 | zh_TW |
| 顯示於系所單位： | 資訊管理學系 | |
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