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
Knowledge for sale - the benefits and effects of off-shoring knowledge-based jobs in engineering, design, and R&D - a case study
A framework consisting of a conceptual model and a closed-loop knowledge work outsourcing decision model is developed. A process flow model of a medical device company's product development function is analysed, where this framework is applied to understand various outsourcing options for the company. The conceptual framework describes major attributes related to outsourcing decisions, parameters associated with various attributes and the relationship intensity of parameters with three knowledge work outsourcing options - in-house, near-shoring, and off-shoring. The proposed model is closed loop, emphasizing the importance of regular re-evaluation needed for an off-shored function. The modeling framework contributes to a company's decision whether or not a particular knowledge-based function should either be kept in-house, near-sourced or off-shored. The general perception of off-shoring is to reduce costs but, the proposed model takes into account additional factors such as, market accessibility, strategic partnership, reduced time to regional market, access to overseas talent pool, and governmental incentives, etc. These factors play a vital role in determining an outsourced function. The paper discusses various options and makes recommendations for tapping into technological advancements around the world, their effects on supply chain management and other competitive advantages presented by off-shoring. Knowledge Management Research & Practice (2010) 8, 351-368. doi:10.1057/kmrp.2010.24
Inappropriate format for Document type, expected simple value but got array, please use list format