This article proposes a novel conceptualization of knowledge-intensive innovative entrepreneurship, which can capture the main characteristics of a vital phenomenon in the modern economy. Our conceptualization is based upon the integration of Schumpeterian entrepreneurship, evolutionary economics, and innovation systems approach. It consists of a theoretical definition and a stylized process model. According to this view, knowledge-intensive innovative entrepreneurs are involved in the creation, diffusion, and use of knowledge; introduce new products and technologies; draw resources and ideas from their innovation system; and introduce change and dynamism into the economy. In the article, we also offer an empirical definition of knowledge-intensive innovative entrepreneurship, which we then use to identify its key characteristics and relevance. We conclude with recommendations for a future research agenda
L’eau d’irrigation est une ressource cruciale pour le développement économique et social en Tunisie. Dans un contexte de décentralisation et de délégation du rôle de l’État, une part importante de la gestion de cette eau d’irrigation a été confiée aux...
Se reconoce que los procesos de innovación suceden entre un conjunto heterogéneo de actores, donde el Análisis de Redes Sociales (ARS) es una herramienta prometedora para su análisis y comprensión y, así, diseñar intervenciones basadas en red para catalizarla. Las...
This work has largely focused on the developed world, yet the majority of people and future economic growth lies in the developing world. Further, most research examines micro data on consumers or firms, limiting what is known regarding the role...
While there is a lot of literature from a natural or technical sciences perspective on different forms of digitalization in agriculture (big data, internet of things, augmented reality, robotics, sensors, 3D printing, system integration, ubiquitous connectivity, artificial intelligence, digital twins,...
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and...