The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system. We review the insights of a large and expanding literature, from various disciplines, which has deepened understanding of technological change as an intricate and complex sociotechnical reconfiguration, situated in time and space. We explain the problems arising from the inappropriate use of adoption as a framing concept and propose an alternative conceptual framework for understanding and evaluating technological change. The new approach breaks down technology change programmes into four aspects: propositions, encounters, dispositions and responses. We begin to sketch out how this new framework could be operationalised.
This article describes a systematic process that is helpful in improving impact evaluation assignments, within restricted budgets and timelines. It involves three steps: a rethink of the key questions of the evaluation to develop more relevant, specific questions; a way of designing a mix of research methods to generate evidence that supports more valid conclusions; and a step that aims to make evaluation outputs more useful. The approach is illustrated through two examples: one on measuring income impacts in an irrigated horticulture programme in Nepal, Zambia and Ethiopia; and another on the assessment of changes in organizational capacities for collective marketing by smallholders in Bolivia. The article demonstrates that this simple, straightforward and structured three-step process helped to reduce the tendency to one-method designs. Enhanced critical reflection within the team allowed for greater sensitivity to validity threats and the creativity to find ways to handle them.
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