Multilevel assessment of restaurant profitability: Evidence with European data
Previous literature has analysed the effects of establishment regressors on different measures of restaurant financial performance [1,2]. However, as [3] stated, these studies have focused on the analysis at establishment level rather than at corporate level. Determining the factors that explain the...
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Elsevier
2020-06-01
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Series: | Data in Brief |
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Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340920303206 |
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author | Miguel Díaz-Puche Sergio M. Fernández-Miguélez Juan A. Campos-Soria Manuel A. Fernández-Gámez |
author_facet | Miguel Díaz-Puche Sergio M. Fernández-Miguélez Juan A. Campos-Soria Manuel A. Fernández-Gámez |
author_sort | Miguel Díaz-Puche |
collection | DOAJ |
description | Previous literature has analysed the effects of establishment regressors on different measures of restaurant financial performance [1,2]. However, as [3] stated, these studies have focused on the analysis at establishment level rather than at corporate level. Determining the factors that explain the restaurant profitability is not only an important phenomenon for establishments but also for companies because they adapt their products, services and strategies to obtain additional benefits and cash flow [1]. Additionally, progressive globalization has forced companies to operate in countries with environments that differ from the companies’ country of origin [4]. In this context, the dataset presented in this paper sought to contribute to the existing literature in two ways. First, it allows us to investigate the factors that determine the profitability of restaurant corporations using advanced measures of financial performance. Second, a multilevel experimental design may be helpful when understanding country heterogeneity in companies´ profitability. The dataset contains a sample of 860 restaurant corporations operating in 18 European countries. From each corporation in the sample 6 financial variables were collected, and from each country, 10 context variables associated with economic conditions and tourism environment were considered. Due to the lack of data that allow a global analysis of the factors that determine profitability in the restaurant industry, this dataset can play an important role for business management, which should control not only their financial ratios but also the macroeconomic conditions and tourism environment where the companies operate. |
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id | doaj.art-476b3a6605f14b9cbf6c1553dda04bf3 |
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issn | 2352-3409 |
language | English |
last_indexed | 2024-12-10T16:21:41Z |
publishDate | 2020-06-01 |
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spelling | doaj.art-476b3a6605f14b9cbf6c1553dda04bf32022-12-22T01:41:47ZengElsevierData in Brief2352-34092020-06-0130105426Multilevel assessment of restaurant profitability: Evidence with European dataMiguel Díaz-Puche0Sergio M. Fernández-Miguélez1Juan A. Campos-Soria2Manuel A. Fernández-Gámez3University of Málaga, Campus Teatinos 29071, Málaga, SpainUniversity of Málaga, Campus Teatinos 29071, Málaga, SpainDepartment of Applied Economics, University of Málaga, Campus El Ejido 29071, Málaga, Spain; Corresponding author.Department of Finance and Accounting, University of Málaga, Campus El Ejido 29071, Málaga, SpainPrevious literature has analysed the effects of establishment regressors on different measures of restaurant financial performance [1,2]. However, as [3] stated, these studies have focused on the analysis at establishment level rather than at corporate level. Determining the factors that explain the restaurant profitability is not only an important phenomenon for establishments but also for companies because they adapt their products, services and strategies to obtain additional benefits and cash flow [1]. Additionally, progressive globalization has forced companies to operate in countries with environments that differ from the companies’ country of origin [4]. In this context, the dataset presented in this paper sought to contribute to the existing literature in two ways. First, it allows us to investigate the factors that determine the profitability of restaurant corporations using advanced measures of financial performance. Second, a multilevel experimental design may be helpful when understanding country heterogeneity in companies´ profitability. The dataset contains a sample of 860 restaurant corporations operating in 18 European countries. From each corporation in the sample 6 financial variables were collected, and from each country, 10 context variables associated with economic conditions and tourism environment were considered. Due to the lack of data that allow a global analysis of the factors that determine profitability in the restaurant industry, this dataset can play an important role for business management, which should control not only their financial ratios but also the macroeconomic conditions and tourism environment where the companies operate.http://www.sciencedirect.com/science/article/pii/S2352340920303206Restaurant profitabilityMultilevel analysisTourism industryFinancial performanceEuropean data |
spellingShingle | Miguel Díaz-Puche Sergio M. Fernández-Miguélez Juan A. Campos-Soria Manuel A. Fernández-Gámez Multilevel assessment of restaurant profitability: Evidence with European data Data in Brief Restaurant profitability Multilevel analysis Tourism industry Financial performance European data |
title | Multilevel assessment of restaurant profitability: Evidence with European data |
title_full | Multilevel assessment of restaurant profitability: Evidence with European data |
title_fullStr | Multilevel assessment of restaurant profitability: Evidence with European data |
title_full_unstemmed | Multilevel assessment of restaurant profitability: Evidence with European data |
title_short | Multilevel assessment of restaurant profitability: Evidence with European data |
title_sort | multilevel assessment of restaurant profitability evidence with european data |
topic | Restaurant profitability Multilevel analysis Tourism industry Financial performance European data |
url | http://www.sciencedirect.com/science/article/pii/S2352340920303206 |
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