Blockchain adoption in Italian winemaking: insights from a PLS-SEM study

Purpose This empirical study aims to expand the literature on the application of blockchain by analysing the factors that influence Italian winemakers. Design/methodology/approach An online questionnaire was used to collect data from 114 Italian wine producers. The factors influencing the adoption of blockchain technology were based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data using the SmartPLS computer program. Findings The PLS-SEM results show that two dimensions of the extended UTAUT, including performance expectancy and trust, positively influence blockchain technology adoption. At the same time, effort expectancy, social influence and facilitating conditions are found to have no significant influence on the intention to adopt blockchain technology. The intention to adopt blockchain is therefore linked to the expectation of improving the winery’s production efficiency, on the one hand, and the greater transparency that this brings, and the benefit that this can bring to consumers, on the other. Originality/value The empirical results of this study fill a gap in the existing literature regarding the factors influencing the adoption of blockchain by Italian winemakers. This study found that, out of five factors, only two have an impact on behaviour, thus providing insight into this issue that has not been clearly examined in previous studies.

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Publication Details

Journal
British Food Journal
Published
2025-06-20
DOI
https://doi.org/10.1108/bfj-07-2024-0760
Citations
4
Primary Topic
Digital Marketing and Social Media
Type
article
Field-Weighted Citation Impact
16.81
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article

Blockchain adoption in Italian winemaking: insights from a PLS-SEM study

Adele Finco, Giulia Chiaraluce, Fabio Verneau, Deborah Bentivoglio et al.
4 citations
British Food Journal
Digital Marketing and Social Media
16.81
article

Blockchain adoption in Italian winemaking: insights from a PLS-SEM study

Adele Finco, Giulia Chiaraluce, Fabio Verneau, Deborah Bentivoglio, Giacomo Staffolani, Mario Amato
article en
4 citations

Abstract

Purpose This empirical study aims to expand the literature on the application of blockchain by analysing the factors that influence Italian winemakers. Design/methodology/approach An online questionnaire was used to collect data from 114 Italian wine producers. The factors influencing the adoption of blockchain technology were based on an extended Unified Theory of Acceptance and Use of Technology (UTAUT). Partial Least Squares Structural Equation Modelling (PLS-SEM) was used to analyse the data using the SmartPLS computer program. Findings The PLS-SEM results show that two dimensions of the extended UTAUT, including performance expectancy and trust, positively influence blockchain technology adoption. At the same time, effort expectancy, social influence and facilitating conditions are found to have no significant influence on the intention to adopt blockchain technology. The intention to adopt blockchain is therefore linked to the expectation of improving the winery’s production efficiency, on the one hand, and the greater transparency that this brings, and the benefit that this can bring to consumers, on the other. Originality/value The empirical results of this study fill a gap in the existing literature regarding the factors influencing the adoption of blockchain by Italian winemakers. This study found that, out of five factors, only two have an impact on behaviour, thus providing insight into this issue that has not been clearly examined in previous studies.

British Food JournalVol. 127(13)
Marche Polytechnic University (IT), Federico II University Hospital (IT), University of Naples Federico II (IT)
Openalex Percentile: Top 1%
Digital Marketing and Social Media
16.81
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Blockchain adoption in Italian winemaking: insights from a PLS-SEM study — Adele Finco, Giulia Chiaraluce, et al. · British Food Journal (2025) | TGRS Research Map | TGRS