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Examining the influential factors of consumer purchase intentions for blockchain traceable coffee using the theory of planned behaviour
Open accessAbstract
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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“The theory of planned behavior (TPB) is popular in social commerce research, but existing studies have yielded inconclusive and inconsistent findings.”
From Extending the Theory of Planned Behavior in the Social Commerce Context: A Meta-Analytic SEM (MASEM) Approach (2023) · cites this paper as Dionysis et al., 2022
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Cites
The theory of planned behavior
Ajzen, I. (1991) · Organizational Behavior and Human Decision Processes · doi:10.1016/0749-5978(91)90020-t · Cited by 90,587
1 Blockchain’s roles in meeting key supply chain management objectives
Kshetri, N. (2018) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2017.12.005 · Cited by 2,149
Research works printed but not linked: 46
- Armitage, 2001, Efficacy of the theory of planned behaviour: a meta-analytic review, British Journal of Social Psychology, 40, 471, 10.1348/014466601164939 · DOI · Paper page
- Aung, 2014, Traceability in a food supply chain: safety and quality perspectives, Food Control, 39, 172, 10.1016/j.foodcont.2013.11.007 · DOI · Paper page
- Batte, 2007, Putting their money where their mouths are: consumer willingness to pay for multi-ingredient, processed organic food products, Food Policy, 32, 145, 10.1016/j.foodpol.2006.05.003 · DOI
- Bumblauskas, 2020, A blockchain use case in food distribution: do you know where your food has been?, International Journal of Information Management, 52, 102008, 10.1016/j.ijinfomgt.2019.09.004 · DOI
- Capgemini Research Institute, 2018, Does Blockchain Hold the Key to a New Age of Supply Chain Transparency and Trust? How Organizations Have Moved from Blockchain Hype to Reality
- Casino, 2019, A systematic literature review of blockchain-based applications: current status, classification and open issues, Telematics and Informatics, 36, 55, 10.1016/j.tele.2018.11.006 · DOI
- Castaldo, 2009, The missing link between corporate social responsibility and consumer trust: the case of fair trade products, Journal of Business Ethics, 84, 1, 10.1007/s10551-008-9669-4 · DOI
- Charlier, 2008, Coordination for traceability in the food chain. A critical appraisal of European regulation, European Journal of Law and Economics, 25, 1, 10.1007/s10657-007-9038-2 · DOI
- Chen, 2013, The impacts of the food traceability system and consumer involvement on consumers' purchase intentions toward fast foods, Food Control, 33, 313, 10.1016/j.foodcont.2013.03.022 · DOI
- Choe, 2009, Effect of the food traceability system for building trust: price premium and buying behavior, Information Systems Frontiers, 11, 167, 10.1007/s10796-008-9134-z · DOI
- Dopico, 2016, Evaluation, signalling and willingness to pay for traceability. A cross-national comparison, Spanish Journal of Marketing - ESIC, 20, 93, 10.1016/j.sjme.2016.07.001 · DOI
- Food Standards Agency, 2019, Guidance on Food Traceability, Withdrawals and Recalls within the UK Food Industry
- Giampietri, 2018, A Theory of Planned behaviour perspective for investigating the role of trust in consumer purchasing decision related to short food supply chains, Food Quality and Preference, 64, 160, 10.1016/j.foodqual.2017.09.012 · DOI
- Guo, 2016, Blockchain application and outlook in the banking industry, Financial Innovation, 2, 24, 10.1186/s40854-016-0034-9 · DOI
- Haller, 2020, Meet the 2020 Consumers Driving Change: Why Brands Must Deliver on Omnipresence, Agility, and Sustainability
- Hansen, 2016, Slavery-like Working Conditions and Deadly Pesticides on Brazilian Coffee Farms
- Hastig, 2020, Blockchain for supply chain traceability: business requirements and critical success factors, Production and Operations Management, 29, 935, 10.1111/poms.13147 · DOI
- Hollands, 2019, Blockchain or bust for the food industry?, Food Science and Technology, 32, 41
- Hoppe, 2013, Consumer behaviour towards organic food in Porto Alegre: an application of the theory of planned behaviour, Revista de Economia e Sociologia Rural [Online], 51, 69, 10.1590/S0103-20032013000100004 · DOI
- Hou, 2019, Consumers' willingness to pay for foods with traceability information: ex-ante quality assurance or ex-post traceability?, Sustainability, 11, 1464, 10.3390/su11051464 · DOI
- Johe, 2016, To buy or not to buy: the roles of self-identity, attitudes, perceived behavioral control and norms in organic consumerism, Ecological Economics, 128, 99, 10.1016/j.ecolecon.2016.02.019 · DOI
- Kher, 2010, Experts' perspectives on the implementation of traceability in Europe, British Food Journal, 112, 261, 10.1108/00070701011029138 · DOI
- Kronthal-Sacco, 2020, Sustainable Market Share Index
- Lee, 2015, Consumer motives for purchasing organic coffee: the moderating effects of ethical concern and price sensitivity, International Journal of Contemporary Hospitality Management, 27, 1157, 10.1108/IJCHM-02-2014-0060 · DOI
- Lee, 2018, Cosmopolitanism and ethical consumption: an extended theory of planned behavior and modeling for fair trade coffee consumers in South Korea, Sustainable Development, 26, 822, 10.1002/sd.1851 · DOI
- Leighton, 2016, Mass Salmonella poisoning by the peanut corporation of America: state-corporate crime involving food safety, Critical Criminology, 24, 75, 10.1007/s10612-015-9284-5 · DOI
- Levine, 2017, Cargo blockchains and Deutsche bank, Bloomberg
- Lin, 2007, Predicting consumer intentions to shop online: an empirical test of competing theories, Electronic Commerce Research and Applications, 6, 433, 10.1016/j.elerap.2007.02.002 · DOI · Paper page
- Martinez, 2011, Food Chain Integrity: A Holistic Approach to Food Traceability, Safety, Quality and Authenticity, 294, 10.1533/9780857092519.4.294 · DOI
- Martinez, 2007, Co-regulation as a possible model for food safety governance: opportunities for public–private partnerships, Food Policy, 32, 299, 10.1016/j.foodpol.2006.07.005 · DOI
- McDermott, 2015, The theory of planned behaviour and discrete food choices: a systematic review and meta-analysis, International Journal of Behavioral Nutrition and Physical Activity, 12, 162, 10.1186/s12966-015-0324-z · DOI
- Menozzi, 2015, Motives towards traceable food choice: a comparison between French and Italian consumers, Food Control, 49, 40, 10.1016/j.foodcont.2013.09.006 · DOI
- Morwitz, 2012, Foundations and Trends in Marketing, 181
- Nardi, 2019, Predicting food choice: a meta-analysis based on the theory of planned behavior, British Food Journal, 121, 2250, 10.1108/BFJ-08-2018-0504 · DOI
- Newholm, 2007, Studying the ethical consumer: a review of research, Journal of Consumer Behaviour, 6, 253, 10.1002/cb.225 · DOI
- Sander, 2018, The acceptance of blockchain technology in meat traceability and transparency, British Food Journal, 120, 2066, 10.1108/BFJ-07-2017-0365 · DOI
- Seebacher, 2017, Blockchain technology as an enabler of service systems: a structured literature review, 12
- Sirieix, 2013, Consumers' perceptions of individual and combined sustainable food labels: a UK pilot investigation, International Journal of Consumer Studies, 37, 143, 10.1111/j.1470-6431.2012.01109.x · DOI
- Song, 2017, Consumers' purchase intentions toward traceable beef—evidence from Beijing, China, American Journal of Industrial and Business Management, 7, 1128, 10.4236/ajibm.2017.710081 · DOI
- Spence, 2018, Exploring consumer purchase intentions towards traceable minced beef and beef steak using the theory of planned behavior, Food Control, 91, 138, 10.1016/j.foodcont.2018.03.035 · DOI
- Tönnissen, 2020, Analysing the impact of blockchain-technology for operations and supply chain management: an explanatory model drawn from multiple case studies, International Journal of Information Management, 52, 101953, 10.1016/j.ijinfomgt.2019.05.009 · DOI
- Trienekens, 2012, Transparency in complex dynamic food supply chains, Advanced Engineering Informatics, 26, 55, 10.1016/j.aei.2011.07.007 · DOI
- Tschorsch, 2016, Bitcoin and beyond: a technical survey on decentralized digital currencies, IEEE Communications Surveys and Tutorials, 18, 2084, 10.1109/COMST.2016.2535718 · DOI · Paper page
- Van Rijswijk, 2008, Consumer perceptions of traceability: a cross-national comparison of the associated benefits, Food Quality and Preference, 19, 452, 10.1016/j.foodqual.2008.02.001 · DOI
- Wang, 2019, Understanding blockchain technology for future supply chains: a systematic literature review and research agenda, Supply Chain Management: An International Journal, 24, 62, 10.1108/SCM-03-2018-0148 · DOI
- Yang, 2021, Understanding consumers' purchase intentions in social commerce through social capital: evidence from SEM and fsQCA, Journal of Theoretical and Applied Electronic Commerce Research, 16, 1557, 10.3390/jtaer16050087 · DOI
Cited by
Sorted by citations
Leong, L.-Y., Hew, T.-S., Ooi, K.-B., Metri, B., & Dwivedi, Y. K. (2023) · Information Systems Frontiers · doi:10.1007/s10796-022-10337-7 · Cited by 80
“It has been applied in prior studies, albeit with inconsistent findings, as certain factors may be significant in some studies but are insignificant in others (Berki-Kiss & Menrad, 2022; Dionysis et al., 2022; Gvili & Levy, 2021; Tewari et al., 2022).”
Method
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
- Open access
- 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