Data of collaborative consumption in online food delivery services
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 Collabora...
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| Format: | Article |
| Language: | English |
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Elsevier
2019-08-01
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| Series: | Data in Brief |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340919303609 |
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doaj-8d4365015f8f4f0d8bc6e3af4ba3764c2020-11-25T02:34:44ZengElsevierData in Brief2352-34092019-08-0125Data of collaborative consumption in online food delivery servicesMiguel A. Segura0Juan C. Correa1Faculty of Psychology, Fundación Universitaria Konrad Lorenz, Bogotá, ColombiaCorresponding author.; Faculty of Psychology, Fundación Universitaria Konrad Lorenz, Bogotá, ColombiaThis 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). Keywords: Collaborative consumption, Web scraping, Online food ordering, Traffic conditions, Google mapshttp://www.sciencedirect.com/science/article/pii/S2352340919303609 |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Miguel A. Segura Juan C. Correa |
| spellingShingle |
Miguel A. Segura Juan C. Correa Data of collaborative consumption in online food delivery services Data in Brief |
| author_facet |
Miguel A. Segura Juan C. Correa |
| author_sort |
Miguel A. Segura |
| title |
Data of collaborative consumption in online food delivery services |
| title_short |
Data of collaborative consumption in online food delivery services |
| title_full |
Data of collaborative consumption in online food delivery services |
| title_fullStr |
Data of collaborative consumption in online food delivery services |
| title_full_unstemmed |
Data of collaborative consumption in online food delivery services |
| title_sort |
data of collaborative consumption in online food delivery services |
| publisher |
Elsevier |
| series |
Data in Brief |
| issn |
2352-3409 |
| publishDate |
2019-08-01 |
| description |
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). Keywords: Collaborative consumption, Web scraping, Online food ordering, Traffic conditions, Google maps |
| url |
http://www.sciencedirect.com/science/article/pii/S2352340919303609 |
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AT miguelasegura dataofcollaborativeconsumptioninonlinefooddeliveryservices AT juanccorrea dataofcollaborativeconsumptioninonlinefooddeliveryservices |
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