Skip navigation
User training | Reference and search service

Library catalog

Content aggregators
Please use this identifier to cite or link to this item:

Title: A data-driven approach to measure restaurant performance by combining online reviews with historical sales data
Authors: Fernandes, E.
Moro, S.
Cortez, P.
Batista, F.
Ribeiro, R.
Keywords: Restaurant management
Business performance
Customer relationship management
Online review
Text mining
Data analytics
Issue Date: 2021
Publisher: Elsevier
Abstract: Restaurant management requires customer responsiveness to deal with increasingly higher expectations and market competitiveness. This study proposes an approach to simplify the decision-making process of restaurant managers by combining both live social media customer feedback and historical sales data in a sales forecast model (based on TripAdvisor data and the Bass model). Our approach was validated with internal and external (i.e., online reviews) data gathered from six restaurants. The collected data was processed using data analytics for developing a dashboard that provides value for restauranteurs by taking advantage of online reviews and sales forecast. Such dashboard was evaluated by restaurant management experts, which provided positive feedback, highlighting in particular the time saved in the decision-making process.
Peer reviewed: yes
DOI: 10.1016/j.ijhm.2020.102830
ISSN: 0278-4319
Appears in Collections:ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica
CTI-RI - Artigos em revistas científicas internacionais com arbitragem científica

Files in This Item:
File Description SizeFormat 
2020_IJHM-FernandesMoroCortezBatistaRibeiro-PostPrint.pdfVersão Aceite657.66 kBAdobe PDFView/Open    Request a copy

FacebookTwitterDeliciousLinkedInDiggGoogle BookmarksMySpace
Formato BibTex MendeleyEndnote Currículo DeGóis 

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.