10 pages, Enormous quantities of data are generated through social and online media in the era of Web 2.0. Understanding consumer perceptions or demand efficiently and cost effectively remains a focus for economists, retailer/consumer sciences, and production industries. Most of the efforts to understand demand for food products rely on reports of past market performance along with survey data. Given the movement of content-generation online to lay users via social media, the potential to capture market-influencing shifts in sentiment exists in online data. This analysis presents a novel approach to studying consumer perceptions of production system attributes using eggs and laying hen housing, which have received significant attention in recent years. The housing systems cage-free and free-range had the greatest number of online hits in the searches conducted, compared with the other laying hen housing types. Less online discussion surrounded enriched cages, which were found by other methods/researchers to meet many key consumer preferences. These results, in conjunction with insights into net sentiment and words associated with different laying hen housing in online and social media, exemplify how social media listening may complement traditional methods to inform decision-makers regarding agribusiness marketing, food systems, management, and regulation. Employing web-derived data for decision-making within agrifood firms offers the opportunity for actionable insights tailored to individual businesses or products.
Online from publisher website. 5 pages., Describes a new Food Trust Consortium , run by IBM, using blockchain technologies to improve food traceability.
13 pages, via Online Journal, This paper contributes to our understanding of farm data value chains with assistance from 54 semi-structured interviews and field notes from participant observations. Methodologically, it includes individuals, such as farmers, who hold well-known positionalities within digital agriculture spaces—platforms that include precision farming techniques, farm equipment built on machine learning architecture and algorithms, and robotics—while also including less visible elements and practices. The actors interviewed and materialities and performances observed thus came from spaces and places inhabited by, for example, farmers, crop scientists, statisticians, programmers, and senior leadership in firms located in the U.S. and Canada. The stability of “the” artifacts followed for this project proved challenging, which led to me rethinking how to approach the subject conceptually. The paper is animated by a posthumanist commitment, drawing heavily from assemblage thinking and critical data scholarship coming out of Science and Technology Studies. The argument’s understanding of “chains” therefore lies on an alternative conceptual plane relative to most commodity chain scholarship. To speak of a data value chain is to foreground an orchestrating set of relations among humans, non-humans, products, spaces, places, and practices. The paper’s principle contribution involves interrogating lock-in tendencies at different “points” along the digital farm platform assemblage while pushing for a varied understanding of governance depending on the roles of the actors and actants involved.
20 pages; Article 3, via online journal, Student-run publications, including newsrooms and similar agency-style work achieve the curricular goal of experiential learning (Roberts, 2006) for university agricultural communication students. Gaining a journalistic skillset in the classroom is richly supplemented with experiencing real-world and authentic agency immersion to reveal to students the genuine characteristics of a workplace. The purpose of this study was to use Q methodology to evaluate a real-world, out-of-class-but-supervised newsroom producing publications for the State FFA Convention. Fifteen undergraduate students who were immersed in this three-day program in which students publish original work to disseminate information to FFA participants and the public participated in the study at the end of the newsroom experience. With a concourse sampled along four dimensions of growth and development (Author, 2014), a Q set of 36 statements was sorted. In addition to the Q sorts, comments gathered from the students at the last session assisted in the interpretation of data. Post-sort interviews were conducted with exemplar sorters. Data were analyzed using principal components and varimax rotation and interpreted to show three ways the newsroom was experienced by the university students. The Supervisors honed managerial skills while working as colleagues with faculty supervisors. The Contented Staff valued the education gained from the experience and recognized the practical application of the communications-based skill-set. The Stressed Staff had insecurities and physical discomfort during the work and living in the city. Implications for program development, classroom instruction, and field experience assessment will be discussed.
