Artikel

Consistency of expert product reviews: An application to wine guides

Purpose. The purpose of this study is to examine the internal consistency of wine guides by comparing the judgements of expert wine tasters and reviewers. A classification of wines is provided to establish whether expert reviews of similar wines are coherent. Design/methodology/approach. Sentiment analysis based on natural language processing techniques was used to compare quantitative and qualitative reviews between experts. In addition, a finite mixture model was used to classify wines into categories to analyse internal consistency between ratings. Findings. The results for a sample of more than 200,000 Wine Enthusiast ratings reveal significant differences between expert reviews. This finding indicates that there are no standard criteria for reviewing wines included in the guide. Originality. Wine guides are amongst the most widely used marketing resources in the wine industry. They provide a signal to consumers about the quality of wines, guiding their purchase decisions. They also influence the reputation of brands and the performance of companies producing these wines. The main contribution of this study is to propose a new way to compare the reviews of wine guide experts.

Sprache
Englisch

Erschienen in
Journal: Wine Economics and Policy ; ISSN: 2212-9774 ; Volume: 11 ; Year: 2022 ; Issue: 2 ; Pages: 51-60

Klassifikation
Wirtschaft
Thema
reputation
wine
experts ratings
sentiment analysis
finite mixture model
wine guides

Ereignis
Geistige Schöpfung
(wer)
Penagos-Londoño, Gabriel I.
Ruiz-Moreno, Felipe
Sellers Rubio, Ricardo
del Barrio-García, Salvador
Casado-Díaz, Ana B.
Ereignis
Veröffentlichung
(wer)
Firenze University Press
(wo)
Florence
(wann)
2022

DOI
doi:10.36253/wep-12400
Handle
Letzte Aktualisierung
10.03.2025, 11:43 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Penagos-Londoño, Gabriel I.
  • Ruiz-Moreno, Felipe
  • Sellers Rubio, Ricardo
  • del Barrio-García, Salvador
  • Casado-Díaz, Ana B.
  • Firenze University Press

Entstanden

  • 2022

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