IDEAS home Printed from https://ideas.repec.org/a/ucm/reveco/y2023i143pe85557.html
   My bibliography  Save this article

Analysis of tweets from food retailers operating in Spain and the UK: How usergenerated content on Twitter can help agrifood cooperatives build better relationships with their customers
[Análisis de los Tweets de los minoristas de alimentación que operan en España y UK. Cómo el análisis del contenido generado por los usuarios en Twitter puede ayudar a las cooperativas agroalimentarias a establecer mejores relaciones con sus clientes]

Author

Listed:
  • Juan Diego Borrero Sánchez

    (Universidad de Huelva, España.)

Abstract

Twitter is an outstanding social media platform that food firms are using to share information with consumers. This research aims to determine the behavior of different food retailers in Spain and the UK in relation to Twitter to shed light on their interests and similarities. This study collected and analyzed a total of 54,000 tweets from 17 food retailers from the social media platform Twitter. Analyzing food retailers’ generated content on Twitter by wordcount, content analysis and social network analysis, several characteristics were detected that could be relevant for suppliers of these food retailers. The output reveals differences among food retailers as well as groups with different strategies within each market and confirms the potential of Twitter data as an information source for conducting marketing studies. Similarly, we found that the adoption of Twitter data analytics by marketing managers of agrifood cooperatives could be very useful for advancing customer-centric strategies. Finally, this research presents its limitations and proposes new lines of future work.

Suggested Citation

  • Juan Diego Borrero Sánchez, 2023. "Analysis of tweets from food retailers operating in Spain and the UK: How usergenerated content on Twitter can help agrifood cooperatives build better relationships with their customers [Análisis ," REVESCO: Revista de estudios cooperativos, Universidad Complutense de Madrid, Facultad de Ciencias Económicas y Empresariales, Escuela de Estudios Cooperativos, issue 143, pages 85557-85557.
  • Handle: RePEc:ucm:reveco:y:2023:i:143:p:e85557
    DOI: 10.5209/REVE.85557
    as

    Download full text from publisher

    File URL: https://eprints.ucm.es/id/eprint/77673/1/2023-143(e85559).pdf
    Download Restriction: no

    File URL: https://libkey.io/10.5209/REVE.85557?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    Social network analysis; Text mining; Content analysis; Digital Agriculture; Big data;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
    • Q13 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Markets and Marketing; Cooperatives; Agribusiness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ucm:reveco:y:2023:i:143:p:e85557. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Águeda González Abad (email available below). General contact details of provider: https://edirc.repec.org/data/feucmes.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.