The e-ROSA project seeks to build a shared vision of a future sustainable e-infrastructure for research and education in agriculture in order to promote Open Science in this field and as such contribute to addressing related societal challenges. In order to achieve this goal, e-ROSA’s first objective is to bring together the relevant scientific communities and stakeholders and engage them in the process of coelaboration of an ambitious, practical roadmap that provides the basis for the design and implementation of such an e-infrastructure in the years to come.
This website highlights the results of a bibliometric analysis conducted at a global scale in order to identify key scientists and associated research performing organisations (e.g. public research institutes, universities, Research & Development departments of private companies) that work in the field of agricultural data sources and services. If you have any comment or feedback on the bibliometric study, please use the online form.
You can access and play with the graphs:
- Evolution of the number of publications between 2005 and 2015
- Map of most publishing countries between 2005 and 2015
- Network of country collaborations
- Network of institutional collaborations (+10 publications)
- Network of keywords relating to data - Link
Trendsetters are individuals who like to take up information on innovation and pass it on and explain it to others (Batinic et al., 2006). Trendsetting supposedly explains the diffusion of innovations because it describes individuals that are sensitive to innovations and less susceptible to social influence. However, contrary to these expectations, previous research has suggested that trendsetters strongly rely on social norms. This cross-sectional study - based on a sample of experts (n = 90) on agricultural innovations - analyses the effect of trendsetting, social norms, and their interaction on the acceptance of new technologies and innovations in precision farming. Consistent with results from an earlier study, trendsetters tend to take into account the attitudes of other persons when dealing with new technologies, and trendsetting seems to have a norm reinforcing function. Contrary to expectations, trendsetting does not seem to be a measure to identify individuals who are both high in innovativeness and less affected by the opinions of other people.
Inappropriate format for Document type, expected simple value but got array, please use list format