14 pages., via online journal., Issue arenas, as places for societal discussions, have recently been studied as an important aspect of organizational environments. While a fundamental part of any issue arena is the distinction between active and passive actors, empirical analyses have mainly focused on active stakeholders. We approach issue arenas as communication networks in which active stakeholders discuss topics and involve passive stakeholders. Based on network theory, we introduce an automated method for mapping these issue arenas on Twitter. In particular, we combine manual coding of active stakeholders, and automated semantic network analysis of addressed, passive stakeholders and their topics of discussion. Empirically, we focus on the issue of bird flu affecting poultry farming in the Netherlands from 2015 to 2017 with a sample of 704 Twitter messages. Instead of pre-defining a set of stakeholders for the analysis, our approach to study communication networks in online settings allows for mapping issue arenas based on the stakeholders that communicate about the topic.
20 pages., via online journal., In a crisis situation, communication is an important asset for safeguarding the reputation of an organization. The communication strategy that is used in a crisis influences the way people perceive the crisis. While extensive research is conducted and clear communication guidelines about crisis communication are provided, current research tends to focus on a single actor in a crisis within a homogeneous stakeholder group. In this article, we analyze whether and how different groups of stakeholders frame a crisis and the extent to which they attribute responsibility for the crisis to actors. The case concerns the use of an illegal lice detergent (fipronil) in eggs in the Netherlands in the summer of 2017. Based on the analysis of Twitter data related to the case using multiple methods (network analysis, a longitudinal analysis and the annotation of a sample of tweets), this study shows that a seemingly simple case in a single sub-arena has different subgroups that use different frames and attribute different responsibilities to different stakeholders. This result implies that a reconsideration of communication strategies during and after a crisis is needed.
12 pages., Via online journal., Policy makers and researchers foresee four investment strategies for conventional pig farmers in contested pork production regions: (1) continue with a cost-price reduction strategy through modernisation and scale enlargement; (2) convert to an intermediate market segment with higher requirements as to animal welfare and environment than conventional; (3) convert to a niche market segment with higher requirements as to animal welfare and environment than intermediate; or (4) quit farming. For policy makers, it is interesting to gain insight in intensive livestock farmer's perceptions regarding these investments and in processes of social interaction that influence farmer decision-making and the potential diffusion of investment strategies over time (Edwards-Jones, 2006). The aim of this explorative study is to analyse the effect of social interaction on diffusion of investment strategies in capital-intensive livestock production systems with groups of Dutch pig farmers, using a simulation game. The game is designed in such a way that contextual factors do not provide a limiting factor. Furthermore, the game is constructed to stimulate interaction and to trigger imagination of participants. Our main research questions for the analysis of the results of the game sessions were: (1) ‘what are differences in diffusion of investment strategies between sessions?’, and (2) ‘to what extent does social interaction affect diffusion of investment strategies?’ A total of seven sessions were played, with 4–8 pig farmers and/or participants who were affiliated to the sector as advisor or successor. All game sessions were video- and voice- recorded, and interaction between participants was transcribed per game session. First, differences in diffusion of investment strategies between sessions were explored. Second, the causes for differences in diffusion between sessions were explored, by looking at the type of investment strategy, communication between participants, and processes of influence. Special attention was given to the influence of opinion leadership. The results of this research show that (1) only investment strategies with a financial benefit did, under influence of social interaction, result in high adoption; (2) for high adoption to occur, communication between participants was necessary; (3) opinion leaders played an essential role in high adoption of investment strategies; and (4) there was a common understanding among participants that favoured scale enlargement. The gaming methodology triggered participants to communicate their tacit knowledge, i.e. assessment criteria that are important in real-life investment decisions, and to experiment with investment strategies.