12 pages, This paper addresses consumer trust in organic food in order to find out which aspects increase and decrease trust and which trust expectations consumers have. The aim is to strengthen consumer trust on the basis of the findings and to develop trust-building measures. To this end, ten focus groups with German consumers were conducted online in February 2021 and evaluated using content analysis. The results show that there is a predominant lack of trust in organic food. This is based in particular on the fact that organic production is often doubted and there are from the consumer’s point of view too many organic labels. This can be attributed not only to a lack of knowledge on the part of consumers, but also to a lack of transparency within the organic sector and in relation to organic food. Results from the consumer's point of view show that the possibility of control, information and transparency are relevant for trust in organic food and the development of knowledge about organic food can positively influence this trust.
USA: International Food Information Council Foundation, Washington, D.C.
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 124 Document Number: D11194
Notes:
3 pages., IFIC specialists offer five predictions for 2020, guided by findings from surveys among American consumers in an annual Food and Health Survey, 2012-2019.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 130 Document Number: D11291
Notes:
3 pages., Online from the Center for Food Integrity, Gladstone, Missouri, USA., Summary of findings from a new study focused on "The 25 most trusted brands in America" from Morning Consult. Results showed reductions in food-related food marketers in the list, among older to younger consumer segments.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 30 Document Number: D10562
Notes:
3 pages., via blog from Janzen Ag Law - online via AgriMarketing Weekly., Since big data arrived in agriculture a few years ago, I have watched companies struggle with how to address farmers' concerns with ag data privacy, security, and control. Some companies have started with a clean sheet of paper and drafted agreements that reflect what they actually do. Others have taken a short cut by cutting and pasting agreements from other industries. The result is that contracts for ag data collection, use and sharing are inconsistent and often miss the point-to communicate the company's intentions with users.
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 136 Document Number: D11432
Notes:
2 pages., Online from AgriMarketing Weekly. News release of March 16, 2020., Brief summary of results of a consumer research study measuring market potential for gene-edited food and agriculture products. Research was sponsored by the FMI Foundation, American Seed Trade Association, American Farm Bureau Federation, and Farm Foundation.
Via online. 5 pages., "Industry in a frenzy, trying to decode the sludge of public opinion while still getting used to the idea this is something to take seriously."
16 pages., via online journal., raceability system has received wide attention in solving food safety issues, via which food information could be tracked back to producer/farmers. Consumers need to obtain this information from producers or social networks, trust in the information, and consequently assess perceived risks, especially when food scandals are exposed to the media. In this study, we introduce the social embeddedness theory to understand how consumers' social activities affect their risk perceptions on traceable food. Specifically, we investigate how risk perceptions are predicted by the interpersonal relationships, organizational level and social-level relationships. Results show that the interpersonal relationships were associated with lower levels of risk perceptions, while organizational and social relationships impacted consumer's risk perceptions at middle and higher levels, respectively. Results also show that the “ripple effect” extended to effect of risk events with negative information, however, did not exist for the group exposed to positive information. Potential food safety implications have been proposed to identify for effective risk mitigation under media coverages.
