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Publication Detailed Description
A data-driven approach to measure restaurant performance by combining online reviews with historical sales data
Journal Title
International Journal of Hospitality Management
Year (definitive publication)
2021
Language
English
Country
United Kingdom
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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.
Acknowledgements
This work was supported by the FCT - Fundação para a Ciência e Tecnologia, under Projects UIDB/04466/2020, UIDP/04466/2020, UID/CEC/00319/2019, and UIDB/50021/2020.
Keywords
Restaurant management,Business performance,Customer relationship management,Online review,Text mining,Data analytics
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
- Economics and Business - Social Sciences
- Other Social Sciences - Social Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UIDB/04466/2020 | Fundação para a Ciência e a Tecnologia |
| UIDB/50021/2020 | Fundação para a Ciência e a Tecnologia |
| UID/CEC/00319/2019 | Fundação para a Ciência e a Tecnologia |
| UIDP/04466/2020 | Fundação para a Ciência e a Tecnologia |
Contributions to the Sustainable Development Goals of the United Nations
With the objective to increase the research activity directed towards the achievement of the United Nations 2030 Sustainable Development Goals, the possibility of associating scientific publications with the Sustainable Development Goals is now available in Ciência-IUL. These are the Sustainable Development Goals identified by the author(s) for this publication. For more detailed information on the Sustainable Development Goals, click here.
