The startups are an exemplar that great things are done by a series of small things brought together. Taking one small step at a time, moving from one problem to another and solving the issues by disruptive innovation is what these startups are trying to achieve. The startups are not only creating new jobs which means more employment but are also leaving a ripple effect on the socio-economic fabric of the demography in which they are operating. The world has become a playfield for these young entrepreneurs as the global startup revolution continues to grow.

Agricultural machinery manufacturers historically referred to the intermediate players for selling, maintenance, customer service and/or training of equipment appear to interact with farmers and end-users. Intermediate players have therefore faced the burden to master the technology, in constant evolution, and the associated training needs at the interface between sophisticated equipment and the end-user and its sociological characteristics (age, education, background, etc.).

A decline in public sector extension services in developing countries has led to an increasing emphasis on alternative extension approaches that are participatory, demand-driven, client-oriented, and farmer centered. One such approach is the volunteer farmer-trainer (VFT) approach, a form of farmer-to-farmer extension where VFTs host demonstration plots and share information on improved agricultural practices within their community. VFTs are trained by extension staff and they in turn train other farmers.

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).

Small actors in agricultural value chains are tied to markets through a series of forward and backward business linkages, which incorporate various types of business models. The complexity of these business models varies according to the commodity, number of actors involved, local context and market structure.

Este trabajo examina varios campos de investigación usados para abordar el fenómeno de la intermediación tecnológica en innovación, en los cuales hay argumentos a favor y en contra del desarrollo de tales agentes, siendo la dificultad de medir el impacto de la intermediación la principal barrera para llegar a un acuerdo. Este es un tema complejo dadas las dificultades de atribución del impacto, lo que explica la aparición de estudios que buscan contribuir a resolver este problema metodológico.