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
Effects of human resource management practices on logistics and supply chain competencies - evidence from China logistics service market
The Chinese logistics service market is a vibrant and highly contested arena. The industry, however, has been characterised as operationally inefficient in comparison with those of the developed economies. Shortage of logistics human resources and lack of logistics expertise have been identified as two of the key contributory factors. Based on responses from 76 Chinese logistics service providers to a survey conducted in 2010, this study explores whether, and how, four sets of human resource management (HRM) practices contribute to nurturing three logistics and supply chain (L&SC) competencies in the Chinese logistics service market. Results from a hierarchical multiple regression analysis show that not all HRM practices were equally effective in building L&SC competencies. While training and development, and recruitment and selection were significant in contributing to nurturing the three L&SC competencies, both performance management and reward management did not. These findings suggest that conventional HRM practices designed to reward individual performance may not be suited to nurturing team-based L&SC competencies in the Chinese context. The implications of these findings were discussed and directions for further studies offered.
Inappropriate format for Document type, expected simple value but got array, please use list format