To meet global demands towards food security, safety as well as sustainable agriculture and food systems innovative approaches are inevitable. Despite the growing body of literature in both innovation research and in values and aims, what has been explored to a lesser extent is the bridging link between these areas. This study represents a first step in addressing this relationship.
The present essay aims to present a partial view of the evolution of thought on business management and economics of organizations applied to agriculture and identifies perspectives for empirical studies. The paper contains four topics. Following this introduction, the second part revisits the concept of agribusiness systems, the third part presents the institutional/property rights perspective and contractual approach, and part four suggests research issues in the field of economics of organizations
In sustainability research, transdisciplinary (TD) approaches that involve practitioners in the research process have emerged as promising tools for enhancing real-world knowledge and engendering societal change. However, empirical insights into how such participation can contribute to the societal effects of TD research are scant and largely rely on single case studies, neglecting practitioners’ perceptions.
This data article contains annotation data characterizing Multi Criteria Assessment (MCA) Methods proposed in the agri-food sector by researchers from INRA, Europe's largest agricultural research institute (INRA, https://institut.inra.fr/en). MCA can be used to assess and compare agricultural and food systems, and support multi-actor decision making and design of innovative systems for crop production, animal production and processing of agricultural products.
Este boletín presenta información recolectada a través de la "Encuesta Nacional de Ciencia, Tecnología e Innovación del Sistema Nacional de Innovación Agropecuaria" y otras fuentes, con el fin de mostrar un panorama de la ciencia, la tecnología y la innovación. Los indicadores discutidos en esta publicación deben apoyar la toma de decisiones a nivel nacional y regional; apoyar la formulación de la política pública; y orientar la investigación, desarollo tecnológico y la innovación (I+D+i) del sector.
The usual linear top-down approach of the innovation process has been transformed into an 'ecological vision' in which regions make up the appropriate scale for the elaboration of agricultural innovation systems (AIS). Interfaces such as institutional arrangements have been created in industrial countries. However, there is still a lack of interaction among parties involved in innovation for the agricultural sector, especially in the outermost regions and in developing countries.
Under the guidance of the agricultural system theory, operational research theory and decision-making support system theory, the regional agricultural development decision support system (RADDSS) was developed in this study ,in which different analysis method and models was integrated. By providing data, right models and analysis methods, RADDSS can assist decision-makers and administrators to solve half-structured and unstructured problems, improving level of management on agriculture. The agriculture in Xuchang has been analyzed using the system constructed in this study.
Rather than merely supporting R&D and strengthening innovation systems, the focus of innovation policy is currently shifting towards addressing societal challenges by transforming socio-economic systems. A particular trend within the emerging era of transformative innovation policy is the pursuit of challenge-based innovation missions, such as achieving a 50 % circular economy by 2030. By formulating clear and ambitious societal goals, policy makers are aiming to steer the directionality and adoption of innovation.
Este artículo trata el problema de los varios tipos de acciones y políticas que se pueden definir como “innovaciones estructurales” en los sistemas nacionales de innovación, prestando especial atención al caso de la transformación de las interacciones entre el sector de la ciencia pública y la industria privada. El estudio se centra en la aparición y difusión de organizaciones que definen un entorno más estable y formalizado para la colaboración y la transferencia de conocimiento entre ciencia y empresa, como los centros de investigación colaborativa (CIC).
La cadena productiva incluye la tecnología y el saber-cómo utilizarla eficientemente (know-how). También existe la cadena de “suministro” que complementa la cadena productiva, donde se integra la actividad de los proveedores de materiales y servicios a la producción, la distribución de los productos o servicios terminados y su compra por los clientes. La cadena de suministro incluye la coordinación entre suministradores, intermediarios y clientes. En esencia, integra las actividades de suministro y demanda, dentro y fuera de las compañías.