16 pages, via online journal article, This study examined the online content of interdisciplinary agricultural center webpages. Content modification dates, mission statements, and content were determined through a content analysis. Many of the websites did not mention a modification date for the content, while many websites had outdated content mostly older than six months. More than two-thirds of the websites provided PDFs that visitor could download to learn more about topics, by many of the websites lacked any media element that was being coded. Additionally, many websites did not use multiple forms of media. More than half of the websites were coded as lacking any social media content or plugins, but out of the websites that did include social media content, Facebook was the most prevalent. The commonalities between the center’s mission displayed on the website and the content theme were analyzed and chi-square tests provided the degree of association. A significant association existed and an alignment between communication strategies and missions of the centers was concluded, which is important when organizations communicate about agricultural science as indicated by previous literature. It is recommended that centers communicate via their websites in a timely manner and allow modification times to be seen to viewers to show their information is up-to-date. Website media content should also be diversified and communicators of these centers should explore the unique communication opportunities provided by social media. Future research should explore the target audience of interdisciplinary agricultural centers and should analyze the messages centers are using to communicate with those audiences.
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.
