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
Acceptance of government-sponsored agricultural information systems in China: the role of government social power
Though many governments enthusiastically supported agricultural information systems, little is known about the role of governments in farmers' acceptance of such systems. The present study examines the influences of government social power on farmers' intention to use government-sponsored agricultural information systems. A research model reflecting the relationships among technology acceptance, government social power, and adoption intention was developed and tested using data collected from 1,504 subjects in the Jiangxi province of China. Our findings show that the role of government social power should not be ignored, as it produced a substantial improvement in the variance explained in intention to use (from 57.1 to 70.8 %). This work also analyzed the influences of gender on the acceptance intention. Based on empirical findings, we offer managerial suggestions for the adoption of agricultural information systems.
- Huazhong_Agr_Univ (CN)
- Huazhong_Univ_Sci_&_Technol_HUST (CN)
- Univ_Texas_Pan_Amer_UTPA (US)
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