Inclusive innovation is the means by which new goods and services are developed for and/or by the billions living on lowest incomes. Although a topic of increasing interest, it has been relatively under-researched and under-conceptualised to date. This article studies arguably the most successful new technology to reach low-income groups: the mobile phone, focusing specifically on its diffusion in Kenya. Systems of innovation are shown to be an appropriate frame for conceptualisation of inclusive innovation.
Scaling represents successful diffusion that ensures sizeable impact and earnings from information and communication technology (ICT) innovations in emerging markets. Practice can still be shaped by dualistic views-innovation vs diffusion, pilot vs scale-up, lead firm vs other actors, technical vs social. Synthesising the literature that challenges these dualities, this paper creates a systemic perspective that is particularly appropriate for scaling of ICT to bottom-of-the-pyramid (BoP) markets.
In Sub-Saharan Africa, the rapidly evolving COVID-19, increasing population growth, and exponential expansion in demand for agricultural commodities are putting pressure on available resources, thereby posing immense challenges to the region’s capacity to achieve nutritional security related to United Nations Sustainable Development Goals (SDGs).
This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.
This review seeks to assess the usefulness of innovation systems approaches in the context of the Integrated Agricultural Research for Development (IAR4D) in guiding research agendas, generating knowledge and use in improving food security and nutrition, reducing poverty and generating cash incomes for resource-poor farmers. The report draws on a range of case studies across sub-Saharan Africa to compare and contrast the reasons for success from which lessons can be learned.
The CGIAR Research Program on Aquatic Agricultural Systems (AAS) is a research in development program which aims to foster innovation to respond to community needs, and through networking and social learning to bring about development outcomes and impact at scale. It aims to reach the poorest and most vulnerable communities that are dependent upon aquatic agricultural systems. AAS uses monitoring and evaluation to track progress along identified impact pathways for accountability and learning.
The Sourcebook is the outcome of joint planning, continued interest in gender and agriculture, and concerted efforts by the World Bank, FAO, and IFAD. The purpose of the Sourcebook is to act as a guide for practitioners and technical staff inaddressing gender issues and integrating gender-responsive actions in the design and implementation of agricultural projects and programs. It speaks not with gender specialists on how to improve their skills but rather reaches out to technical experts to guide them in thinking through how to integrate gender dimensions into their operations.
This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
LenCD has prepared a joint statement on results and capacity development (presented in this publication), which stresses that meaningful, sustainable results are premised on proper investments in capacity development and that these results materialize at different levels and at different times, along countries’ development trajectory. To provide evidence in support of this statement, LenCD launched a call for submission of stories.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.