The art and science of innovation systems inquiry: Applications to Sub-Saharan African agriculture

By D. Spielman, J. Ekboir, K. Davis. 2009

292 citations recorded by the source corpus.

Subfields: Business and International Management, Computer Science Applications, General Agricultural and Biological Sciences

View Paper: https://www.semanticscholar.org/paper/00057a6664711a9a070f6bc0925ec6012e2cec51

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Business and International Management

1. L. Klerkx
2. C. Leeuwis
3. C. Kilelu
4. N. Aarts
5. M. Schut
6. P. Tittonell

In Computer Science Applications

1. L. Klerkx
2. C. Leeuwis
3. M. Schut
4. C. Kilelu
5. P. Tittonell
6. N. Aarts
7. H. El Bilali

In General Agricultural and Biological Sciences

1. L. Klerkx
2. M. Schut
3. C. Leeuwis
4. P. Tittonell
5. C. Kilelu
6. Michael R. Carter
7. Peter S. Carberry
8. P. Dorward

Citations in the corpus

• Developing a holistic approach to the analysis of farmer decision-making: implications for adaptation policy and practice in developing countries (2016, background): “While there are many studies on smallholder decision-making, they have tended to be constrained by disciplinary focus, for example, within the areas of technology adoption, economics and behaviour (Ajzen et al., 2002; Marfo et al., 2008; Spielman et al., 2009).”
• Functions and limitations of farmer cooperatives as innovation intermediaries: Findings from China (2014, background): “observation by Ton and Jansen (2007) that local level FCs are more knowledgeable on demand articulation while FC federations are more functional to resolve issues around R&D contract making and management.”
• Enhancing innovation in livestock value chains through networks: Lessons from fodder innovation case studies in developing countries (2012, background): “The more recent paradigm for knowledge generation and use is the innovation system approach (Lundvall et al. 2002; Clark et al. 2003; World Bank 2007; Rajalahti et al. 2008; Spielman et al. 2009), described as a network of private and public sector organizations whose interactions produce, diffuse a”
• Adaptive management in agricultural innovation systems: The interactions between innovation networks and their environment (2010, methodology): “For mapping the dynamics and a structured analysis of innovation system interaction at the micro level, Spielman et al. (2009) indicate that innovation history analysis focusing on important events is a useful method, which has also been applied in 'mainstream' innovation systems analysis where it…”
• Unravelling the role of innovation platforms in supporting co-evolution of innovation: Contributions and tensions in a smallholder dairy development programme (2013, background): “…(AIS) approach has gained currency as a framewor k for understanding bottlenecks and identifying opportunities for enhancing the innovation capacity of agricultural systems, particularly in sub-Saharan Africa (SSA) (Hounkonnou et al., 2012; Spielman et al., 2009; Sumberg, 2005; World Bank, 2006 ).”
• Taking Complexity in Food Systems Seriously: An Interdisciplinary Analysis (2014, background): “Proponents acknowledge that mainstream policy and practice lags behind the literature on enabling innovation (Hall, 2007), even as the AIS literature is limited by the dominance of descriptive ex post case studies (Spielman et al., 2009).”
• Climate-smart agriculture global research agenda: scientific basis for action (2014, background): “cultivars or changes in N fertilization) [135-137].”
• Systemic perspectives on scaling agricultural innovations. A review (2016, background): “Brandt 2013; Klein 2014; Pohl and Hirsch Hadorn 2007) research approaches, innovation systems approaches (e.g. Lamprinopoulou et al. 2014; Schut et al. 2014a, b, 2015a, b; Spielman et al. 2009), value chain approaches (e.”