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Big Data Needs Small Data: Exploring...

Shi, Huiwen.

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Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the Context of Covid-19 in Boston.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the Context of Covid-19 in Boston./
作者:	Shi, Huiwen.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2023,
面頁冊數:	127 p.
附註:	Source: Masters Abstracts International, Volume: 85-02.
Contained By:	Masters Abstracts International85-02.
標題:	Geography. -
電子資源:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30672257
ISBN:	9798380097000

Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the Context of Covid-19 in Boston.
Shi, Huiwen.

Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the Context of Covid-19 in Boston. - Ann Arbor : ProQuest Dissertations & Theses, 2023 - 127 p.

Source: Masters Abstracts International, Volume: 85-02.

Thesis (M.S.)--Massachusetts Institute of Technology, 2023.

This item must not be sold to any third party vendors.

Using a combination of quantitative and qualitative research methods, this research explores the relationship between digital engagement levels reflected through online reviews with restaurant digital adaptability in the context of the Covid-19 pandemic in Boston.First, the project scraped 523,348 reviews for the 3,325 restaurants in Boston from 2004 to 2022, Feb. Using K-means clustering to analyze time series data based on positive review quantities, restaurants are clustered into four typologies for digital engagement level. Second, three neighborhoods are selected as study areas for different distributions of store typologies. Finally, site visits and interviews were conducted with store owners/managers among sampled neighborhoods. The findings reveal that the clustering result based on Yelp.com reflects restaurants' digitalization strategies. Second, it identifies that business digital adaptability is crucial for restaurants' business resilience regardless of business type. Last but not least, the research discovers the limitation of using a single-sourced user-generated dataset due to market segmentation, identifying the necessity of ground-truthing exercises to validate the quality of the data.

ISBN: 9798380097000Subjects--Topical Terms:

524010
Geography.

Big Data Needs Small Data: Exploring Digital Adaptability of Restaurants in the Context of Covid-19 in Boston.
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