Cited by 78Food Supply Chain TraceabilityTechnology Adoption and User BehaviourOrganic Food and Agriculture

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Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour

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Dionysis, Symeon, Chesney, Thomas, McAuley, Derek·2022·British Food Journal

Abstract

Purpose: Given the increasing industry interest in blockchain technologies for supply chain management and product traceability, this paper aims to investigate consumer purchasing intentions for blockchain traceable coffee and their psychosocial antecedents, utilising an extended model of the theory of planned behaviour (TPB). Design/methodology/approach: An online questionnaire study of 123 participants was deployed, using two traceability systems (one based on blockchain and one on a more established traceability certification) for organic coffee. Findings: Adding variables such as environmental protections, trust and habits significantly increased the predictive power of TPB. The results suggest that attitude, perceived behavioural control and environmental protections drive intentions to purchase blockchain traceable coffee. Research limitations/implications: Apart from establishing the factors affecting consumer intentions for blockchain traceable coffee, this study validates the TPB as a model of explaining coffee purchasing intentions and provides evidence of new variables that can significantly increase the model's predictive power. Practical implications: The proposed format of presenting traceability information along with the significant variables revealed in our study can function as a guide for designing product features and marketing strategies for blockchain traceable organic coffee. Increasing consumer awareness on product traceability will also play a crucial role in the success of these products. Originality/value: This study is the first to explore consumer purchasing intentions for blockchain traceable coffee and establish the psychosocial variables behind them contributing, in that way, to an understudied area in academic literature as well as providing insights for a more consumer-centric design of such products.

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Metadata

Authors
Dionysis, S., Chesney, T., & McAuley, D.
Affiliations
University of Nottingham (GB)
Venue
British Food Journal
Publisher
Emerald
Published
2022-01-12
Volume
124
Issue
12
Pages
4304-4322
ISSN
  • 0007-070X (ISSN-L)
  • 1758-4108
OpenAlex
W4206056640
Cited by
78
References
2
Citations by year
2026: 17 · 2025: 15 · 2024: 18 · 2023: 17 · 2022: 11
FWCI
7.72
Type
journal article
Language
en
Licence
other-oa
Locations
  • British Food Journal (publishedVersion)
  • Nottingham Trent University's Institutional Repository (Nottingham Trent Repository) (acceptedVersion)
  • Repository@Nottingham (University of Nottingham) (acceptedVersion, other-oa)
  • Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by-nc)
Funders
Engineering and Physical Sciences Research Council (EP/T022493/1)
Topics
  • Life Sciences › Agricultural and Biological Sciences › Food Science › Food Supply Chain Traceability
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Organic Food and Agriculture
Keywords
blockchain traceability, consumer purchase intention, theory of planned behavior, organic coffee, supply chain traceability, environmental protection, consumer trust, consumption patterns, perceived behavioral control, attitudes

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Dionysis, S., Chesney, T., & McAuley, D. (2022). Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour. British Food Journal. https://doi.org/10.1108/bfj-05-2021-0541