ArticleInternational journal of environmental research and public health2021
Consumers' Intention to Adopt Blockchain Food Traceability Technology towards Organic Food Products.
Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Sustainability Indicators in Rice and Wheat Supply Chain.Foods (Basel, Switzerland) · 2025Article
- Bytes and bites: Consumer perceptions toward the power of artificial intelligence for foodborne risk mitigation through traceable food.Current research in food science · 2025Article
- A Systematic Literature Review and Bibliometric Analysis of Blockchain Technology for Food Security.Foods (Basel, Switzerland) · 2024Review
- Is AI Food a Gimmick or the Future Direction of Food Production?-Predicting Consumers' Willingness to Buy AI Food Based on Cognitive Trust and Affective Trust.Foods (Basel, Switzerland) · 2024Article
- Emerging Perspectives of Blockchains in Food Supply Chain Traceability Based on Patent Analysis.Foods (Basel, Switzerland) · 2023Article
- The Impact of Health Risk Perception on Blockchain Traceable Fresh Fruits Purchase Intention in China.International journal of environmental research and public health · 2022Article
- The Impact of Blockchain Application on the Qualification Rate and Circulation Efficiency of Agricultural Products: A Simulation Analysis with Agent-Based Modelling.International journal of environmental research and public health · 2022Article
- Cross-Countries Comparison Toward Digital Currency Acceptance: Integrating UTAUT2 Into ITM.Frontiers in psychology · 2022Article
- Third Party Certification of Agri-Food Supply Chain Using Smart Contracts and Blockchain Tokens.Sensors (Basel, Switzerland) · 2021Article
- The Impact of Switching Intention of Telelearning in COVID-19 Epidemic's Era: The Perspective of Push-Pull-Mooring Theory.Frontiers in psychology · 2021Article
- Improving the Sustainable Usage Intention of Mobile Payments: Extended Unified Theory of Acceptance and Use of Technology Model Combined With the Information System Success Model and Initial Trust Model.Frontiers in psychology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Establishing a blockchain food traceability system (BFTS) is increasingly important and urgent to resolve the contradiction between consumers' intention regarding safe food selections and the spread of polluted foods. Using the advantages of blockchain, such as immutability, decentralization, openness, and anonymity, we can build trusted food traceability systems based on these important characteristics. With reliable information, traceability from production to sales can effectively improve food safety. In this research, multiple models, namely, the information success model (ISS) and the Theory of Planned Behavior (TPB) are formed into a conceptual integrated framework to study the intentions' influenced factors of BFTS technology for Chinese consumers to help ensure food safety and the quality of Chinese organic food products. A face-to-face questionnaire survey with 300 valid responses was analyzed by Partial Least Square from the Chinese consumers focusing on the organic food products. This study found that the attitude and perceived behavioral control qualities significantly and positively affect the usage intention in adopting BFTS, while the subjective norms are positively but not significantly correlation with the usage intention in using BFTS. The above results will inform suggestions for productors and academics along with implications to promote BFTS' usage intention.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.