20 pages, Food security, also known as having proper access to food to live a healthy life, affects more than 10% of individuals in the United States. Marketing and communications, as well as brand identity, plays a role in how organizations combating food insecurity operate and raise awareness. However, these organizations’ communications are typically not as successful as for-profit corporations, and there is a gap in literature about the effectiveness of these charitable food organizations’ marketing efforts. The purpose of this study was to determine the effect of charitable food organization branding on college students’ support of charitable food organizations—specifically through volunteering, donating behavior, and advocacy efforts. This study used the Theory of Planned Behavior (TPB), color theory, and semiotics to craft treatments similar to social media images from charitable food organizations (CFOs). There were four treatment groups, all with the same verbiage, but all using either color or no color or with an icon versus an image. Findings suggested Treatment 3, the colorful treatment with a picture of two children, had the greatest impact on intent to support CFOs. While some of the other treatment models were significant, none included all significant TPB predictors as with treatment 3. This study’s results indicate that using a post with imagery and color can influence intent to support charitable food organizations. Future research should use qualitative methods to better understand this study and similar studies’ results.
30 pages, 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.
13pgs, This study aims to analyze the influence of neighborhood effects (NE) on tea farmers' intention to convert from traditional to organic farming in the mountainous areas of northern Vietnam. It differs from previous studies in two aspects. First, we combine the theory of planned behavior and the theory of herd behavior to explain farmers' intention to convert from traditional to organic farming, focusing on the impact of the NE. Secondly, to measure NE, we use a combination of questionnaires and methods of measuring herd behavior by McCartney and Shah. Using the generalized structural equation modeling and data collected from 263 tea farmers in Thai Nguyen, we found that NE has a positive and direct significant effect on farmers' intention to convert to organic tea production in the case where neighbors both live nearby and have a close relationship with the subject. In addition, it indirectly impacts farmers' conversion intention through attitude, subjective norms and perceived behavior control. To encourage tea farmers to convert to organic farming, policymakers and extension workers should take advantage of the NE to increase farmers' confidence about the benefits and the possibility of successful organic farming.
Rogers-Randolph, Tiffany (author), Lundy, Lisa K. (author), Telg, Ricky W. (author), Rumble, Joy N. (author), Myers, Brian (author), and Lindsey, Angela B. (author)
Format:
Journal article
Publication Date:
2021
Published:
United States: New Prairie Press
Location:
Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 203 Document Number: D12249
19 pages, The demand for agriculture, food, and natural resource (AFNR) messages to be conveyed via channels of social media provides a natural inclination to seek out digital natives, such as state FFA officers, to fill the present gap of agriculturalists in online environments. The purpose of this study was to examine the factors that influence state FFA officers' behaviors of communicating about AFNR issues on social networking sites. The theoretical framework that guided this study of communication behaviors was the theory of planned behavior. A census of the accessible population of 276 state officers was attempted, and 97 usable responses were received (35.1%). The findings reinforced the use of the theory of planned behavior to understand, predict, and change AFNR social media behaviors. The significance of subjective norms suggested that online AFNR communication is mainly under subjective control for state FFA officers. To increase online engagement of state FFA officers, it is recommended that behavioral change efforts target normative beliefs and that clear behavioral expectations are expressed. Further research is recommended to determine if the significance of subjective norms as a predictor of intent is unique to technological and social media behaviors or applicable to a broader context. Additional research with other populations of young agriculturalists is also recommended.
25 pages, n many countries farmers face pressure to adopt practices to promote sustainability and resilience while ensuring efficient business management to produce food and other agricultural products at reasonable cost. Given a policy context in which voluntary action is preferred over government regulation, understanding farmers’ motivation to embrace recommended practices has become a major subject for research. Increasingly, this endeavour is guided by the theory of planned behaviour, a reasoned action approach (Fishbein and Ajzen, 2010). We provide a brief overview of the theory of planned behaviour and an elaboration of good practices in the assessment of the theory’s constructs. We systematically review 124 applications of the theory to farmer behaviour on a number of specific review criteria. Based on observations of improper use, we consider theoretical and methodological issues and provide recommendations for research design and data analysis.
12 pages, According to the World Health Organization a diet high in vegetables may reduce the risk of coronary heart diseases, stroke, and certain types of cancer. In addition, vegetables have lower carbon footprints than most other foods. The main objective in this paper is to find drivers behind vegetable consumption, with emphasis on health and environmental motivation. We used the theory of planned behavior together with direct acyclic graphs as a theoretical basis. The empirical analysis applied the graded response model and bounded beta regression with survey data from 2019. The main results show that health attitude is a stronger motivator for vegetable consumption than environmental attitudes.
16 pages, via online journal, Buying local food has become an increasingly popular way for consumers to engage with those who grow their food; however, research has shown a specific audience tends to buy local food due to individual-specific barriers. To better understand what motivates consumers to buy local food the Theory of Planned Behavior was used as a way to potentially predict consumers’ behavior toward buying locally grown blueberries. Also, the variables of past experience and self-identity/moral obligation toward buying local food were introduced to the model since both variables may increase the predictability of the Theory of Planned Behavior model in certain food-related behaviors. This study used an online survey completed by 1,122 respondents, from a sample frame of all consumers in Florida. The study used a non-probability sample of an opt-in panel, and weighting procedures were applied to the data to account for coverage errors associated with using a non-probability sample. The interaction of consumers’ past experience and self-identity/moral obligation was found to help explain consumers’ intention to buy locally grown blueberries when added to the Theory of Planned Behavior. The Theory of Planned Behavior was shown to predict consumers’ intention to buy locally grown blueberries; however, their intent was better explained with the inclusion of the variables of past experience and self-identity/moral obligation toward buying local blueberries. Recommendations for future research and application include future research into other variables that may impact buying behavior and inclusion of these variables in future communication efforts focused on consumers buying and engaging with local food.
