In this paper it is assessed the types of knowledge networks utilised by small-scale farmers in four case studies (located in Bulgaria, Poland, Portugal, and the United Kingdom). We focus on knowledge acquired to inform three new activities being undertaken by study participants: agricultural production, subsidy access and regulatory compliance, and farm diversification (specifically agritourism).
The concept of open innovation is currently one of the key issues regarding the innovative development of micro, small, and medium enterprises (SMEs). It has been the subject of research both in the theoretical and empirical context. At present, there is no unambiguous definition conceptualizing the conceptual scope of open innovation (OI). However, enterprises do not always decide by themselves to be open to the environment.
The aim of this paper is to characterise the innovativeness of individual farms in the Łódź region. Based on a domestic and foreign literature study, the most frequently used variables connected with farms (namely, the type of agricultural activity, economic size and VAT settlement system) were selected. The analysis of selected variables that characterise the innovative activity of the researched entities was carried out using the basic measures of structural analysis and interdependence of phenomena.
This paper contributes to the overall discussion on the relational resources then, in particular, attempts to recognize inter-firm investments in the agrifood industry. It is essentially grounded in an integrative approach which combines relational and resource-based views. Our goal in this paper is to find out if and how relational investment contributes to a sustainable relational advantage of business relationships in the agrifood industry. Producers, processors and traders who undertake investments in conjunction with their contractors were queried.
The aim of the study was to provide the examples of eco-innovations in agriculture relating to the concept of sustainable development and the indication of their conditions. Quantitative and qualitative methods were applied to the research, namely: descriptive statistical and economic analysis of the Polish Farm Accountancy Data Network (FADN) data and Statistics Poland data, as well as case studies of organic food producers, covering the years 2005–2019.
In this paper, presented at the 12th European IFSA Symposium (Workshop: "Generating spaces for innovation in agricultural and rural development") in 2016, the authors assess the integration of new entrants to small-scale farming into agricultural knowledge and innovation systems (AKIS), in four study sites located on Europe’s periphery (Bulgaria, Poland, Portugal, and the United Kingdom).
The EU-funded SALSA project set out to examine a potentially very important role of small farms – their contribution to food security.
The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
Explicitly integrating reflection in the learning process of multi-stakeholder processes (MSPs) increases the likelihood that purposeful change will occur. When reflectivity is made part of learning in MSPs, learning will become clearer and better articulated and it will contribute more strongly to purposeful change in a complex context. MSP facilitators should deliberately include reflective learning sessions and tools in the process design and implementation.
The purpose of the paper, using a comprehensive innovation systems failure framework, is to assess the performance of agrifood innovation systems of Scotland and the Netherlands, through analysis of the key innovation actors (organisations, networks or influential individuals), and their key functions (research provider, intermediary etc), and those mechanisms that either facilitate or hinder the operation of the IS (known as inducing and blocking mechanisms, respectively).