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The Relationship between Customer Satisfaction and Location of Restaurant

Published: 03 May 2020 Publication History

Abstract

This research focuses on using data analysis tools to find out how to choose a better location for a restaurant. This research chooses Panda Express, Chipotle, and Taco Bell, three large foreign chain restaurants in the US as the target to find out why similar restaurants have different customer satisfaction in different places. Using different attributes such as demographic attributes, business patterns, competition level and cannibalization level as variables to describe their locations and rating of each restaurant from Yelp data as a standard for customer satisfaction, this research finds that location's attributes such as demographic and competition level have a significant relationship with the restaurant's customer satisfaction.

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  • (2022)What affects the online ratings of restaurant consumers: a research perspective on text-mining big data analysisInternational Journal of Contemporary Hospitality Management10.1108/IJCHM-06-2021-074934:10(3607-3633)Online publication date: 19-May-2022

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    cover image ACM Other conferences
    IC4E '20: Proceedings of the 2020 11th International Conference on E-Education, E-Business, E-Management, and E-Learning
    January 2020
    441 pages
    ISBN:9781450372947
    DOI:10.1145/3377571
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    Published: 03 May 2020

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    1. Customer Satisfaction
    2. Location
    3. Restaurant

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    • (2022)What affects the online ratings of restaurant consumers: a research perspective on text-mining big data analysisInternational Journal of Contemporary Hospitality Management10.1108/IJCHM-06-2021-074934:10(3607-3633)Online publication date: 19-May-2022

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