Crowdsourcing the Assessment of Wine Quality - Evidence from Vivino

Kopsacheilis, Orestis; Analytis, Pantelis P.; Kaushik, Karthikeya; Herzog, Stefan M.; Bahrami, Bahador; Deroy, Ophelia

doi:10.2139/ssrn.4355578

Cited by 3 publications

(1 citation statement)

References 36 publications

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“…Consumer ratings for hotels (see Hu and Yang, 2021 for a meta-analysis), restaurants (Bilgihan et al, 2018;Tian et al, 2021;Yan et al, 2015), or review websites, such as Amazon and Yelp (see Floyd et al, 2014 andHong et al, 2017 for a meta-analysis), have already gained a lot of interest in the scientific literature. Instead, research on consumer ratings on wine platforms such as vivino.com or cellartracker.com is still developing (e.g., Kopsacheilis et al, 2023;Mazzoli and Palumbo, 2022). Oczkowski and Pawsey (2019) found a gap between consumer and expert ratings and pointed to diverging sensory preferences.…”

Section: Introductionmentioning

confidence: 99%

Factors influencing wine ratings in an online wine community: The case of Trentino–Alto Adige

Gastaldello,

Schäufele-Elbers,

Schamel

2024

J Wine Econ

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Consumers often struggle to make their choice in the highly diversified wine market. With wine being an experience good, consumers must rely on extrinsic characteristics, e.g., information on the label. Thus, easily available quality signals like consumer ratings have become an increasingly useful and widespread tool. Vivino is one of the largest online wine communities with over 60 million users, which have more than doubled since 2018. Hence, users have easy access to peer ratings, while established wine expert ratings are being challenged. This study analyzes data from Vivino to explore factors affecting consumer ratings at different price points, considering several wine attributes like geographical indications, brand, and the so-called “community effect.” We show that there is a small but significant community effect on wine's perceived quality related to its popularity among users of the Vivino community, as well as effects from specific wine attributes. Moreover, we estimate a hedonic quantile model on similar price ranges to compare the effect of the same regressors on wine prices. Results contribute to a better understanding of how different factors affect consumers’ wine evaluations, allowing to compare their effect on the “pure” consumer preference (i.e., consumer ratings) and market value.

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Section: Introductionmentioning

confidence: 99%

Factors influencing wine ratings in an online wine community: The case of Trentino–Alto Adige

Gastaldello,

Schäufele-Elbers,

Schamel

2024

J Wine Econ

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Wine stress vs. Technostress: Communities and wine appreciation digital platforms

Biot-Paquerot,

Dubois

2023

BIO Web Conf.

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In this conceptual article, we propose to investigate the intrinsic motivations of wine appreciation platform user communities, such as Vivino. By helping to reduce the stress linked to the complexity of the purchasing and tasting experience, which we call wine stress, these technologies increase the pleasure of participating in the community and gamify the sharing of knowledge via the platform. At the same time, exposing the user both to social exposure within the community of wine enthusiasts, and thus to peer judgment, but also to cognitive dissonance in the tasting experience.

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The role of customer and expert ratings in a hedonic analysis of French red wine prices: from gurus to geeks?

Bazen,

Cardebat,

Dubois

2023

Applied Economics

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Crowdsourcing the Assessment of Wine Quality - Evidence from Vivino

Cited by 3 publications

References 36 publications

Factors influencing wine ratings in an online wine community: The case of Trentino–Alto Adige

Factors influencing wine ratings in an online wine community: The case of Trentino–Alto Adige

Wine stress vs. Technostress: Communities and wine appreciation digital platforms

The role of customer and expert ratings in a hedonic analysis of French red wine prices: from gurus to geeks?

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