A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

Fernandes, Elizabeth Silva; Moro, Sérgio; Cortez, Paulo; Batista, Fernando; Ribeiro, Ricardo

doi:10.1016/j.ijhm.2020.102830

Cited by 36 publications

(22 citation statements)

References 59 publications

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“…Researchers need to explore how important donation patterns using these new communication strategies are and how nonprofits can identify the best ways to develop related fundraising campaigns. Investigations focused on this topic should not be limited to proposing theoretical models but instead also conduct case studies to explore successful strategies and innovative managerial tools used to monitor these strategies’ effects on performance (e.g., dashboards) (Fernandes et al, 2021 ).…”

Section: Resultsmentioning

confidence: 99%

COVID-19-Related Studies of Nonprofit Management: A Critical Review and Research Agenda

Santos

Laureano

2021

Voluntas

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Section: Resultsmentioning

confidence: 99%

COVID-19-Related Studies of Nonprofit Management: A Critical Review and Research Agenda

Santos

Laureano

2021

Voluntas

View full text Add to dashboard Cite

“…Positive feelings toward the food and the service do not show a linear relationship (Fernandes et al, 2021) TripAdvisor 1,220 reviews for 6 restaurants in Algarve, Portugal…”

Section: Sentiment Analysismentioning

confidence: 97%

“…According to Bilgihan et al (2017) 1 summarizes a list of studies that have addressed cases of small restaurant businesses by analyzing online reviews written in social media in search for knowledge that leverages restauranteurs' decision making. As it can be observed, specific case studies on this domain are rather scarce and are usually focused on helping managers to understand their own clients through online reviews (e.g., Fernandes et al, 2021) instead of taking a broader approach by using automated techniques such as sentiment analysis to compare themselves with the competition. Such gap justifies the contribution of the present study.…”

Section: Literature Reviewmentioning

confidence: 99%

Insights from sentiment analysis to leverage local tourism business in restaurants

Rita

Moro

et al. 2021

IJCTHR

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Purpose Social media has become the main venue for users to express their opinions and feelings, generating a vast number of available and valuable data to be scrutinized by researchers and marketers. This paper aims to extend previous studies analyzing social media reviews through text mining and sentiment analysis to provide useful recommendations for management in the restaurant industry. Design/methodology/approach The Lexalytics, a text mining artificial intelligence tool, is applied to analyze the text of the online reviews of the restaurants in a touristic Dutch village extracted from the most frequently used social media platforms focusing on the four restaurant quality factors, namely, food and beverage, service, atmosphere and value. Findings The findings of this research are presented by the identified key themes with comparisons of the customers’ review sentiment between a selected restaurant, Zwaantje, vis-à-vis its bench-mark restaurants set by a specific approach under the abovementioned quality dimensions, in which the food and beverage and service are the most commented by customers. Results demonstrate that text mining can generate insights from different aspects and that the proposed approach is valuable to restaurant management. Originality/value The paper provides a relatively big scale in numbers and resources of social media reviews to further explore the most important service dimensions in the restaurant industry in a specific tourist area. It also offers a useful framework to apply the text mining business intelligence tool by comparison of peers for local small business restaurant practitioners to improve their management skills beyond manually reading social media reviews.

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“…Additionally, customer response to food waste prevention in restaurants should be evaluated, particularly for customers with higher levels of socially responsible consumption. Online reviews represent vital decision support within consumers’ purchase decision-making processes in the restaurant industry (Fernandes et al 2021 ; Lee and Kim 2020 ; Mejia et al 2019 ). For example, Dixit et al ( 2019 ) noted that the relevance of online reviews in the restaurant industry is substantiated by the fact that more than 75% of readers of online reviews from a sample of 2000 adults in the US reported that reviews significantly influenced their purchase decisions.…”

Section: Future Research Directionsmentioning

confidence: 99%

Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis

et al. 2022

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Restaurant research has received significant attention globally. This article aims to examine the evolution and the knowledge structure of restaurant research over the past decades. We also investigate the restaurant research hotspots and knowledge diffusion paths based on 1489 articles extracted from the Web of Science database. Furthermore, we conduct a keyword co-occurrence network analysis and four different types of main path analyses to scrutinize the historical formation of the restaurant research. Results revealed that restaurant research mainly focused on five research themes: consumer behavior, consumer satisfaction, social media, green restaurants, and authenticity. While consumer behavior has been the mainstream topic, the focus of this line of research has recently shifted from traditional to luxury and ethnic restaurants. Furthermore, our analysis has detected several recent changes in response to the COVID-19 pandemic. By examining the knowledge structure of restaurant research, we reveal its knowledge diffusion paths and provide avenues for future research in this vast and interdisciplinary research field.

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A data-driven approach to measure restaurant performance by combining online reviews with historical sales data

Cited by 36 publications

References 59 publications

COVID-19-Related Studies of Nonprofit Management: A Critical Review and Research Agenda

COVID-19-Related Studies of Nonprofit Management: A Critical Review and Research Agenda

Insights from sentiment analysis to leverage local tourism business in restaurants

Tracing knowledge evolution flows in scholarly restaurant research: a main path analysis

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