23 pages., via online journal., This article presents a case study of two effective interventions promoting 1% low-fat milk consumption. Developed after extensive formative research and use of the 4Ps marketing mix, the first intervention in 2012, 1% Low-Fat Milk Has Perks!, was a multilevel intervention implemented in the Oklahoma City media market (OKCMM), which covers most of the western portion of the state of Oklahoma. The program evaluation was based on a quasi-experimental comparison-group design that compared milk sales in the OKCMM with the Tulsa media market (TMM) supplemented by a pre- and post-intervention telephone survey of Supplemental Nutrition Assistance Program recipients. The program evaluation revealed that 1% milk sales significantly increased 15% from before to after the intervention ended in the OKCMM compared to a smaller increase in the TMM. In 2014, the second intervention, Choose 1% Milk: A Healthy Family Choice, was implemented statewide using three experimental conditions. The intervention resulted in a 42.9% statewide increase in 1% milk sales from before to after the intervention ended. In this article, we describe the use of the marketing mix in the planning, implementation, and summative evaluation of both interventions, including strategic decisions that provide insight into efforts to influence behavior at the population level.
8 pages, Cattle handling Extension program educators often overlook the animal training component of efficient handling. The objectives of the study described in this article were to measure young dairy heifer behavioral responses toward handlers who received different types of training and to document whether repeated handling or time of day of handling affected heifer behavioral responses to handlers. Six handlers received training through a lecture, hands-on workshop, or video. An observer recorded heifer behavior during handling tests. The day and time of heifer training were most influential on heifer behavior, but heifer handling ease was improved when handlers had participated in the hands-on training.
pgs. 11275-11284, Via online journal, The way in which farm managers' attitudes, personality, behavior, values, and sociodemographic characteristics influence farm business performance is, at best, only partially understood. The study reported here expands on this understanding by analyzing the attitudes and personal attributes of 80 dairy farmers in Great Britain in relation to the profitability over 3 yr of their farm businesses. Business goals, temperament, purchasing behavior, and having a growth mindset toward the business were found to be associated with profitability. A linear regression model consisting of 5 variables related to the above was presented that predicts 34% of the observed variation in profitability. Each of these variables were questions related to the participants' personal attitudes or beliefs. Other assessed variables, such as specific husbandry behaviors or practices, or management practices and sociodemographic characteristics, did not warrant inclusion in the final model. These results uniquely contribute to understanding how the attitudes, personality, behaviors, and attributes of dairy farmers are associated with, and thus likely to influence, the profitability of their farm businesses.
17 pages, via online journal, Translator disclaimer
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ABSTRACT
Purpose: To identify and understand factors influencing farmers’ decisions to engage with extension activities. To understand farmer segments and how these factors vary in order to develop recommendations for future extension delivery.
Methodology: Qualitative data was obtained through semi-structured interviews with 30 Tasmanian dairy farmers. The Theory of Planned Behaviour (TPB) framework was used to identify and explore factors influencing farmer engagement intentions and behaviour.
Findings: There was a negative effect of social influence on experienced farmers’ intention to re-engage with extension, due to the belief extension activities were targeted to less experienced, younger farmers. Perceived control factors limiting engagement included lack of confidence about existing knowledge, resulting in farmers perceiving extension activities as confronting.
Practical implications: Key factors influencing intention to engage and continued engagement with extension were identified. These findings will inform future design and targeting of extension activities to improve initial and continued engagement. Subsequent recommendations are presented.
Theoretical implications: Previous TPB studies on adoption as an outcome of extension have typically focused on quantifying adoption predictions, rather than exploring how social factors interact and influence intentions and behaviours. This paper demonstrates how the TPB can be qualitatively applied to better understand farmer decision making, in this instance with respect to their initial and continued engagement with extension.
Originality/value: This paper demonstrates how the TPB can provide an evidence-based framework to qualitatively explore farmer intentions and behaviour. This approach has led to new insights into farmer decision making that will inform improvements in future extension development.
