0581 Breakfast on the farm, an educational farm tour, improves consumer trust in animal care, food safety, and modern conventional dairy production

2016 ◽  
Vol 94 (suppl_5) ◽  
pp. 275-275 ◽  
Author(s):  
T. A. Ferris ◽  
J. M. Smith ◽  
E. M. Richer ◽  
M. Welker ◽  
J. Stechschulte ◽  
...  
Keyword(s):  
Food Safety ◽  
Consumer Trust ◽  
Dairy Production ◽  
Farm Tour ◽  
Animal Care

scholarly journals The health implications of distrust in the food system: findings from the dimensions of trust in food systems scale (DOTIFS scale)

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Emma Tonkin ◽  
Trevor Webb ◽  
Julie Henderson ◽  
Paul R. Ward ◽  
John Coveney ◽  
...  
Keyword(s):  
Public Health ◽  
Food Safety ◽  
Content Validity ◽  
Food Systems ◽  
Food System ◽  
Dietary Guidelines ◽  
Consumer Trust ◽  
Safety Practices ◽  
Health Related ◽  
The Impact

Abstract Background Consumer trust in food systems is essential for consumers, food industry, policy makers and regulators. Yet no comprehensive tool for measuring consumer trust in food systems exists. Similarly, the impact that trust in the food system has on health-related food behaviours is yet to be empirically examined. The aim of this research was to develop a comprehensive instrument to measure trust in the food system (the Dimensions of Trust in Food Systems Scale (DOTIFS scale) and use it to explore whether trust in the food system impacts consumers’ health-related behaviours. Methods The DOTIFS scale was developed using sociological theories of trust and pre-existing instruments measuring aspects of trust. It was pilot tested and content validity was assessed with 85 participants. A mixed-methods exploration of the health-related behaviours of 18 conveniently sampled Australian consumers with differing trust scores determined by the DOTIFS scale was then conducted. During March–July 2019 shopping- and home-observations were used to assess participants’ food safety practices and exposure to public health fortification programs, while the CSIRO Healthy Diet Score determined their adherence to national dietary guidelines. Results The DOTIFS scale was found to have high comprehension, ease of use and content validity. Statistical analysis showed scale scores significantly trended as predicted by participants’ stated level of trust. Differences were found in the way individuals with more or less trust in the food system comply with national dietary guidelines, are exposed to public health fortification programs, and adhere to recommended food safety practices. Conclusions The DOTIFS scale is a comprehensive, sociologically- and empirically- informed assessment of consumer trust in food systems that can be self-administered online to large populations and used to measure changes in consumer trust over time. The differences in health-related behaviours between individuals with varying levels of trust warrant further investigation.

Consumer Trust in Food Safety Survey

2018 ◽  
Author(s):  
Vivek Roy ◽  
Sai Vijay Tata ◽  
Chandan Parsad
Keyword(s):  
Food Safety ◽  
Consumer Trust

Expectations and everyday opportunities for building trust in the food system

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Emma Tonkin ◽  
Julie Henderson ◽  
Samantha B. Meyer ◽  
John Coveney ◽  
Paul R. Ward ◽  
...  
Keyword(s):  
Food Safety ◽  
Food Systems ◽  
Food System ◽  
Group Discussion ◽  
Well Being ◽  
Consumer Trust ◽  
Content Type ◽  
Safety Incident ◽  
The Media ◽  
Business As Usual

PurposeConsumers’ trust in food systems is essential to their functioning and to consumers’ well-being. However, the literature exploring how food safety incidents impact consumer trust is theoretically underdeveloped. This study explores the relationship between consumers’ expectations of the food system and its actors (regulators, food industry and the media) and how these influence trust-related judgements that consumers make during a food safety incident.Design/methodology/approachIn this study, two groups of purposefully sampled Australian participants (n = 15) spent one day engaged in qualitative public deliberation to discuss unfolding food incident scenarios. Group discussion was audio recorded and transcribed for the analysis. Facilitated group discussion included participants' expected behaviour in response to the scenario and their perceptions of actors' actions described within the scenario, particularly their trust responses (an increase, decrease or no change in their trust in the food system) and justification for these.FindingsThe findings of the study indicated that food incident features and unique consumer characteristics, particularly their expectations of the food system, interacted to form each participant's individual trust response to the scenario. Consumer expectations were delineated into “fundamental” and “anticipatory” expectations. Whether fundamental and anticipatory expectations were in alignment was central to the trust response. Experiences with the food system and its actors during business as usual contributed to forming anticipatory expectations.Originality/valueTo ensure that food incidents do not undermine consumer trust in food systems, food system actors must not only demonstrate competent management of the incident but also prioritise trustworthiness during business as usual to ensure that anticipatory expectations held by consumers are positive.

scholarly journals A one health perspective on dairy production and dairy food safety

One Health ◽  
2019 ◽  
Vol 7 ◽  
pp. 100086 ◽  
Author(s):  
Sara N. Garcia ◽  
Bennie I. Osburn ◽  
James S. Cullor
Keyword(s):  
Food Safety ◽  
One Health ◽  
Dairy Production ◽  
Dairy Food

Food safety and consumer trust in post-Fukushima Japan

Japan Forum ◽  
2016 ◽  
Vol 29 (1) ◽  
pp. 53-76 ◽  
Author(s):  
Cornelia Reiher
Keyword(s):  
Food Safety ◽  
Consumer Trust

scholarly journals Research on Intelligent Analysis of Illegal Food Safety Behavior Based on Deep Learning Algorithm

2021 ◽  
Vol 292 ◽  
pp. 03012
Author(s):  
Bing Yang ◽  
Kai Chen ◽  
Yajie Wang ◽  
Hong Tan ◽  
Fugui Wang ◽  
...  
Keyword(s):  
Deep Learning ◽  
Food Safety ◽  
Learning Algorithm ◽  
Consumer Trust ◽  
Consumer Health ◽  
Safety Behavior ◽  
Deep Learning Algorithm ◽  
Intelligent Analysis ◽  
Food Quality And Safety ◽  
Made In

Food safety has been a major concern in recent years as a result of numerous food safety events in many nations. This could increase the health risks associated with eating low-quality food, lowering customer confidence in food safety. It is critical to overcome this challenge and gain consumer trust in order to improve food quality and safety. To address this issue, we suggested an intelligent deep learning method for identifying which foods are potentially harmful to human health based on chemical and additive qualities, which could have a significant impact on consumer health. The findings of our survey show that deep learning surpasses other methods such as manual feature extractors, as well as the promising findings of categorization of hazardous food, further research efforts to apply deep learning to the field of food will be made in the future.

scholarly journals Consumer Trust in Food Safety Requires Information Transparency

2020 ◽  
Vol 24 ◽  
Author(s):  
Tri Khai Lam ◽  
Jon Heales ◽  
Nicole Hartley ◽  
Chris Hodkinson
Keyword(s):  
Social Media ◽  
Food Safety ◽  
Knowledge Base ◽  
Conceptual Model ◽  
Product Information ◽  
Food Product ◽  
Consumer Trust ◽  
Food Labels ◽  
Information Transparency ◽  
Information Consumers

This paper proposes a conceptual model to understand how information transparency matters can support consumer trust in food safety. Beside food labels, food product information can be disseminated by the support of technologies including traceability systems and social media. This article studies extant literature to provide a knowledge base for the development of a conceptual model. Information provided by traceability systems is deemed to increase a consumer’s knowledge of a food product. Furthermore, social media is considered as a well-informed source that provides some useful information to consumers. Therefore, we argue that technology-supported information supports and enhances the information consumers need to make their own judgement about the safety of a food product. Three testable propositions are developed from a conceptual model that provides insights into food information that consumers find helpful for developing trust in food safety.

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