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Data of collaborative consumption in online food delivery services

*Corresponding author for this work
  • Fundación Universitaria Konrad Lorenz
Research Output:
Contribution to journal
Article
Peer-review

Open access

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FWCI
1.03
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Author count
2
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Paper percentile
72
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Citations
6
Scopus
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103
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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

English

Article number

104007

Pages from-to (Number of pages)

Pages 104007

Journal (Volume, Issue Number)

Data in Brief (Volume 25)

Publication milestones

  • Published - 08/2019

Publication status

Published - 08/2019

ISSN

2352-3409

Publication IDs

  • ORCID: /0000-0002-0301-5641/work/57743116
  • Scopus: 85066440817
  • PubMed: 31193950