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 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.
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 EU-funded SALSA project set out to examine a potentially very important role of small farms – their contribution to food security.
There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality.
Agricultural mechanization in developing countries has taken at least two contested innovation pathways—the “incumbent trajectory” that promotes industrial agriculture, and an “alternative pathway” that supports small-scale mechanization for sustainable development of hillside farming systems.
European agriculture is facing increasing economic, environmental, institutional, and social challenges, from changes in demographic trends to the effects of climate change. In this context of high instability, the agricultural sector in Europe needs to improve its resilience and sustainability. Local assessments and strategies at the farming system level are needed, and this paper focuses on a hazelnut farming system in central Italy. For the assessment, a participatory approach was used, based on a stakeholder workshop.
Within agricultural innovation systems (AIS), various stakeholder groups inevitably interpret ‘innovation’ from their own vantage point of privilege and power. In rural developing areas where small-scale and subsistence farming systems support livelihoods, dominant policy actors often focus heavily on participatory modernization and commercialization initiatives to enhance productivity, access, and quality. However, existing social hierarchies may undermine the potential of such initiatives to promote inclusive and sustainable farmer-driven innovation.
Understanding eco-innovation is an essential endeavor to achieve global sustainable development. In this sense, further research on implementation is needed to expand knowledge beyond current boundaries. The aim of this paper is to contribute to this debate by conducting an original multidimensional analysis using Spanish agri-food sector data. The empirical methodology applies a combination of descriptive statistics, cluster analysis and the chi-squared test.