IDEAS home Printed from https://ideas.repec.org/h/spr/prbchp/978-3-031-31836-8_24.html
   My bibliography  Save this book chapter

Black Friday vs. Green Friday: A Comparative Sentiment Analysis of Spanish Social Media Users’ Perceptions

In: Advances in Digital Marketing and eCommerce

Author

Listed:
  • Michele Girotto

    (Universitat de Barcelona)

  • Ana Maria Argila Irurita

    (Universitat de Barcelona)

  • María Luisa Solé Moro

    (Universitat de Barcelona)

Abstract

The main objective of this study was to assess the marketing practices of companies related to Black Friday and Green Friday 2022 events in the Spanish market. This assessment was approached from the perspective of consumers by using the method of sentiment analysis of Spanish users who interact with companies through Facebook, Twitter and Instagram social network accounts. The study sample is made up of 8 companies, with a total of 4,342 comments received between November 2 and December 4, 2022. Data was collected with the data miner application exportcomments and sentiment analysis was performed at Atlas.ti based on pre-processed data. Based on content analysis, negative sentiments were clustered into 8 categories while positive sentiments were grouped into 5 main theme categories. Most of the sentiment analysis results indicated that companies that carried out the Black Friday promotional event approach showed data with highest negative consumer sentiment compared to companies that carried out Green Friday practices, which were mostly related to a more educational consumer approach to promotional events. This study emphasizes the critical and active attitude towards Black Friday discounts and the influence of consumers’ previous experiences with the brand and brand image, which affect consumer expectations on Green Friday or Black Friday approaches by companies.

Suggested Citation

  • Michele Girotto & Ana Maria Argila Irurita & María Luisa Solé Moro, 2023. "Black Friday vs. Green Friday: A Comparative Sentiment Analysis of Spanish Social Media Users’ Perceptions," Springer Proceedings in Business and Economics, in: Francisco J. Martínez-López (ed.), Advances in Digital Marketing and eCommerce, pages 224-242, Springer.
  • Handle: RePEc:spr:prbchp:978-3-031-31836-8_24
    DOI: 10.1007/978-3-031-31836-8_24
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    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:spr:prbchp:978-3-031-31836-8_24. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.