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).
World Bank Institute (WBI) works to improve the understanding, practice and results of capacity development, an important way to support development goals and priorities for aid effectiveness. WBI developed the Capacity Development and Results Framework (CDRF), as a strategic and country-led approach to capacity development that emphasizes the empowerment of local agents through learning, knowledge and innovation.
This study, conducted by the World Bank at the request of the Government, is motivated by the need to understand Malaysia’s progress in facilitating the shift to a knowledge-focused economy.
This paper explores the application of the innovation systems framework to the design and construction of national agricultural innovation indicators. Optimally, these indicators could be used to gauge and benchmark national performance in developing more responsive, dynamic, and innovative agricultural sectors in developing countries.
This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.
Given the diversity and context-specificity of innovation systems approaches, in March 2007 the World Bank organized a workshop in which about 80 experts (representing donor agencies, development and related agencies, academia, and the World Bank) took stock of recent experiences with innovation systems in agriculture and reconsidered strategies for their future development. This paper summarizes the workshop findings and uses them to develop and discuss key issues in applying the innovation systems concept. The workshop’s recommendations, including next steps for the wider
This book examines how agricultural innovation arises in four African countries – Ghana, Kenya, Tanzania, and Uganda – through the lens of agribusiness, public policies, and specific value chains for food staples, high value products, and livestock. Determinants of innovation are not viewed individually but within the context of a complex agricultural innovation system involving many actors and interactions.
This sourcebook contributes to identifying, designing, and implementing the investments, approaches, and complementary interventions that appear most likely to strengthen Agricultural innovation systems (AIS) and to promote agricultural innovation and equitable growth. It emphasizes the lessons learned, benefits and impacts, implementation issues, and prospects for replicating or expanding successful practices. The information in this sourcebook derives from approaches that have been tested at different scales in different contexts.