Data of collaborative consumption in online food delivery services
- Miguel A. Segura,
- Fundación Universitaria Konrad Lorenz
Research Output: Contribution to journal Article Peer-review
Open access
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SciVal
FWCI
1.03
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Author count
2
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Paper percentile
72
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Citations
6
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103
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8
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59
Abstract
This data article contains data regarding the collaborative consumption that takes place in an Online Food Delivery Platform that connects restaurants owners, and customers who wish to order meals and receive them at home or office. These data are associated with the article “Evaluation of Collaborative consumption of food delivery services through web mining techniques” [1]. These data are stored in a comma separated value format; that can be easily downloaded from a Mendeley data repository (https://data.mendeley.com/datasets/m9z9hw4nsc/1).
Publication Information
Output type
Research Output: Contribution to journal Article Peer-review
Original language
EnglishArticle number
104007Pages from-to (Number of pages)
Pages 104007Journal (Volume, Issue Number)
Data in Brief (Volume 25)Publication milestones
- Published - 08/2019
Publication status
Published - 08/2019
ISSN
2352-3409Publication IDs
- ORCID: /0000-0002-0301-5641/work/57743116
- Scopus: 85066440817
- PubMed: 31193950