Journal of Applied Communications

While Georgia is one of the top producers of cotton and peanuts in the Unites States, much attention has been centered on ensuring sustainability in the production of these crops. The need to understand what drives farmers’ decision to utilize voluntary best management practices is critical for the improvement of strategies focused on increasing farmers’ adoption of these practices. Empirical evidence that identifies influential factors in farmers’ decision to adopt best management practices have yet to produce consistent predictors of adoption behavior. This has led to increased calls for unique approaches examining how farmers’ views and motivations impact their adoption decisions regarding these practices. This study builds on previous research using Q methodology to provide an in-depth investigation of the differences in farmers’ views on best management practices for cotton and peanut production in southwest Georgia. A purposive sample of 21 participants completed the Q sorting exercise and semi-structured interviews. Analysis of the data revealed three primary viewpoints that were identified and labeled as the: (1) land preservers, (2) ambitious self-starters, and (3) principled go-getters. These perspectives show the differences in motivations for adoption behavior and denote the range of influential factors on farm management decisions. The findings of this study reveal key viewpoints held by Georgia cotton and peanut farmers toward best management practices, which can inform the development of strategically tailored educational resources and opportunities. These targeted educational approaches must account for the specific needs and preferences of farmers found in this study to potentially increase adoption.

Cotton is the most significant natural fiber in the world and an important part of the global economy. Yet, the cotton industry faces several challenges in securing its place in the global fiber market share, reaching new consumers, and maintaining relationships with current consumers. Furthermore, the cotton industry has a unique opportunity to share evidence-based information with followers through its product marketing on social media. The study described herein used content analysis to explore Instagram content on the @discovercotton profile. Content included categories of promoted products (i.e. women, men, children, or home); comments, posts, and caption stimuli; and most frequently used word, hashtag, and retail partner stimuli. We analyzed 434 Instagram stimuli (244 single photos, 142 carousels, and 48 videos) from March 2, 2021, to March 2, 2023. Across all stimuli, there were 110,143 likes and 5,799 comments with total response (engagement: likes and comments) reaching 115,942. We found that women’s products were promoted most often followed by men, home, and children—only 8.48% of stimuli depicted cotton, a cotton plant, or the seal of cotton. We identified six major themes in caption stimuli on @discovercotton: qualities of cotton, style, sustainability, check the label, women, and cotton production. Cotton was the most frequently used word stimuli in captions, and cotton as a fabric was the most promoted theme.

An increase in consumer concern surrounding food ingredients has triggered a rise in label claims as an attempt to communicate salient product attributes to influence a purchase decision. Previous research has established the use of food label claims as heuristic cues, facilitating quick decisions without the need for complicated cognitive processing. Design of a label claim becomes an important concern as research has indicated distinct design elements promote further processing. This study sought to understand the role of visual and textual elements of a label claim toward dual processing routes through the use of eye tracking measures. The results indicated label claims that included both visual and textual elements elicited the highest visual attention allocation from consumers, and suggested that label claims are processed systematically in addition to heuristically as previously specified. Future label claims should include both visual and textual elements to promote further cognitive processing among all consumers. The findings from this study provide an avenue for greater understanding of dual processing modes within the context of food label claims and other agriculturally-relevant concepts.

Precision farming is becoming crucial in the ongoing agricultural revolution due to its enhanced economic and ecological sustainability in food production compared to conventional farming. However, only a limited number of studies have focused on consumer acceptance of food produced through precision farming. To address this gap, an online experiment (n = 276) was conducted to investigate how production method information influences consumer beliefs of food quality (i.e., health, sustainability, and safety values), ultimately affecting consumer attitudes and purchase intentions toward precision-grown food. The findings suggest consumers exhibit higher quality beliefs, leading to more favorable attitudes and purchase intentions, toward precision-grown food compared to conventional food. This trend was observed when participants were presented with detailed information about the production methods employed in each farming system. In addition, according to the Elaboration Likelihood Model, our study reveals consumer innovativeness has the potential to amplify positive responses in terms of quality beliefs, attitudes, and purchase intentions toward precision-grown food compared to conventional food. Furthermore, our findings suggest that when detailed production methods are presented, precision-grown food may receive favorable quality beliefs, attitudes, and purchase intentions comparable to those for organic food, regardless of consumer innovativeness.

Notable differences have been observed in how society perceives and understands the agricultural industry. Consumers today are concerned with how their food is raised and produced, and drastic changes in how information is gathered regarding those subjects have occurred due to the rapid development of digital media. As a result, the agricultural industry has fallen behind in ensuring accurate information is shared about the daily work done to feed the world. A form of digital media that has infiltrated the daily lives of society is social media (SM). This study sought to evaluate the impact established agricultural social media influencers (SMIs) on Instagram can have on changing participants' perceived knowledge regarding several agricultural topics. Participants were recruited through the platform Prolific and were asked to complete an anonymous Qualtrics survey. Survey questions were asked before and after participants were shown example images of agricultural SMIs. Data collected were analyzed utilizing IBM SPSS (Version 28) to compare pre-image and post-image results to determine the contents' impact on participants' perceived knowledge of subjects relating to agriculture. Results indicated significant differences between the pre-image and post-image perceived knowledge results and between different forms of reported engagement willingness.