In this paper, we examine the effectiveness of e-tendering system for pigeon pea in Karnataka and explore stakeholders’ perceptions regarding online trading to better understand the challenges in implementation of this innovative agricultural marketing initiative. Rest of the paper is organized as follows: Section 2 provides background on e-tendering process in Karnataka. Data and methodology are discussed in the third section, fourth section presents the results, and is followed by the section discussing the salient findings and lessons learnt.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
This teaching case study is to stimulate readers to think strategically and come up with innovative solutions to the challenges that Songxiaocai faces. The materials used to write this case is drawn from the sources including the semi-structured interviews with managers within Songxiaocai Company, online information, and materials
This paper has been prepared from a transcript of a presentation at the Crawford Fund 2017. This talk is a synthesis of some of the emerging issues we are seeing in the digital revolution, and how we can overcome the barriers to digitalised agricultural systems in the developing world
This article highlights the experiences and lessons generated by the project collaborators in enhancing the adaptive capacities of selected upland farming communities in Southeast Asia. The project collaborators employed capability building programs, such as farmers' and technicians' training, local climate change awareness programs, cross-farm visits, demonstration plots showcasing agroforestry technologies as climate change adaptation (CCA) strategies, and linking science with policies
This work brings data about the use of E-commerce and poverty reduction in rural areas of China and was presented on the Digital Innovation Dialogue Session 6: China’s Approaches and Experiences in Digital Agriculture and Digital Rural Area. The Digital Innovation Dialogue initiative was launched in early 2019 by the FAO and serve as a forum to enhance knowledge sharing and mutual learning between multidisciplinary innovation practitioners and FAO staff through open and informal discussions.
This work was presented by the Director General of Information Centre of the Ministry of Agriculture and Rural Affairs of China about the chinese experience in enhance the access of the rural areas to the internet and e-commerce. The presentation is divided in three parts: 1) Development and changes in China's agriculture and rural areas; 2) China's main approach to promoting e-agriculture and e-village; 3) Experience in e-agriculture and e-village of China.
Recently, innovation has become a very important issue, as it provides a strategic advantage for organizations to outperform competition and remain agile in the environment. Additionally, knowledge management is considered to be a strong support for innovation. However, few studies examine the role of human resource management in fostering knowledge capability which leads more innovation in the organizations. The purpose of this study was to examine the role of knowledge management components in organizational innovation among agricultural extension experts in Khuzestan Province.
Based on three rounds of panel data (2007, 2009, and 2012) on indigenous households, this study assessed the impacts of Integrated Aquaculture-agriculture value chain participation on the welfare of marginalized poor indigenous rural households in Bangladesh. We also examined the distributional impacts of IAA value chain
This study examines the effectiveness of mobile as a novel approach for providing targeted and equitable agri-advisory services to farmers at scale. A cross-sectional survey of farmers registered on CABI's Direct2Farm (D2F) user database was undertaken using a combination of telephone interviews, household survey and focus group discussions covering six states in India. Was used mixed method approach that utilized both quantitative and qualitative data collection methods.