4.4 Article

Can blockchain technology strengthen consumer preferences for credence attributes?

期刊

AGRICULTURAL AND FOOD ECONOMICS
卷 11, 期 1, 页码 -

出版社

SPRINGERNATURE
DOI: 10.1186/s40100-023-00270-x

关键词

Consumer trust; Traceability; Organic certification; Personality traits; Hybrid choice models (HCM); Attitudes

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Consumers' increasing interest in product information such as nutrition, environment, and social aspects can be addressed by using blockchain technology to enhance the credibility of quality signals on labels. This study investigates the impact of blockchain technology in reducing consumer uncertainty regarding credence attributes and facilitating informed choices. The findings highlight the potential of blockchain technology in communicating credence attributes and empowering consumers, but also reveal that its impact on choices is influenced by the level of trust, likely due to the complexity of understanding its functioning.
Consumers' interest in product information, such as nutrition, environment, and social aspects, is increasing in the food market. Blockchain technology can enhance credibility of quality signals on labels through transparency and accountability in the supply chain. This study examines the impact of blockchain technology on reducing consumer uncertainty about credence attributes and facilitating informed choices. It is particularly relevant for food policies, as greater consumer awareness promotes proactive involvement in sustainability and public health. We conducted a choice experiment with 300 Italian consumers, focusing on craft beer and analysing how blockchain technology in strengthens organic and DOP certification. The results provide valuable insights for producers and policymakers to develop voluntary approaches that engage society in objectives that concern the collective well-being. They highlight the potential of blockchain technology in communicating credence attributes and empowering consumers. However, our study reveals that the impact of blockchain technology on choices is influenced by a different level of trust, likely due to the complexity of understanding its functioning.

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