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
In recent years, there has been an increasing use of information and communication technology as a means of improving the income and capabilities of farmers. Many large agri-business organizations, governments, and independent private firms have created telecenters to meet these goals. However, use of telecenter facilities has not met its potential. We use the technology adoption and diffusion frameworks of Rogers (adoption/diffusion, 2003) and Davis (technology adoption model - TAM, [(1989). Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly, 13(3), 319-339]) to understand factors that influence adoption and use of information technology by farmers. Based on a five-state sample of 280 farmers and agricultural workers, we identify adoption/diffusion factors that increase use of telecenters. Bivariate results support the dimensions suggested by Rogers: relative advantage, compatibility, low complexity, and observability, while also supporting the TAM factors of usefulness and ease of use. Logistic regression findings identify the most important Rogers' dimensions. Binary-independent variables of North-South telecenter location and telecenter business-independent ownership indicate North-South location influences both the models of adoption/diffusion and TAM factors, while telecenter ownership influences the model of TAM factors. The practical and government policy implications are examined.
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