ArticleFoods (Basel, Switzerland)2026
Implementing Food Traceability: Insights from Australian Red Meat and Honey Sectors.
Article in Foods (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Traceability systems are increasingly central to ensure food safety, quality, biosecurity, and sustainability in agrifood supply chains. Despite advances in digital technologies, adoption and effective implementation remain uneven, with many producers still relying on paper-based systems. This study examines the motivations and conditions that enable or constrain the participation in traceability systems by Australian red meat and honey producers using the Digital Maturity Framework (DMF) as a diagnostic lens. Drawing on seven focus groups and five individual interviews involving a total of 73 producers and supply chain stakeholders from both sectors, the study investigates how value perceptions, technology and infrastructure, data analytics and management, capability, and data governance, influence producers' engagement with traceability systems. Our findings indicate that while regulatory pressure and market opportunities incentivise adoption, several challenges persist, including high costs, limited digital skills, data sharing concerns, and sector-specific constraints. The red meat sector demonstrates higher digital maturity, driven largely by compliance mandates and an established regulatory system. In contrast, the honey bee sector exhibits more fragmented traceability adoption, challenged by the predominance of small-scale producers and limited trust in data sharing mechanisms. The comparison between two sectors reveals the influence of sectoral context. In particular, the regulatory frameworks and supply chain coordination play a relevant role in the adoption of traceability technologies. Overall, this research reveals the need for tailored policy and industry support, including regulatory harmonisation, improved data interoperability, digital infrastructure, and capacity-building initiatives to enable more consistent and broader traceability implementation across agrifood systems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.