While national governments are the main actors in innovation policy, it is observed a proliferation of challenge-oriented innovation policies both at the subnational and the supranational level. This begs the question about subsidiarity: what innovation policies for societal challenges should be organized at subnational, national and supranational levels?
In the past 15 years, Tanzania has made considerable progress in the fight against child undernutrition. This paper analyses in what respects an enabling environment for nutrition action in Tanzania has emerged. It critically investigates the nature of government political commitment and assesses the breadth and depth of a range of public policies, initiatives and actions within and across nutrition-specific and nutrition-sensitive sectors, and at the national, sub-national and community levels.
Despite the key role of actor networks in progressing new sustainable technologies, there is a shortage of conceptual knowledge on how policy can help strengthen collaborative practices in such networks. The objective of this paper is to analyze the roles of such policies – so-called network management – throughout the entire technological development processes.
This article conceptualizes the diffusion of user innovations from a service ecosystem perspective. With the focus on sustainable innovations, the service ecosystem is evaluated, along with other systemic innovation concepts, as a possible theoretical basis for explaining the first adoption and diffusion of user innovations.
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.
So far, numerous studies have exhibited Silicon Valley and other thriving innovation ecosystems by distinguishing special characteristics in which their survival rely on sustaining activities that convert them to specific regions. These regions provide ready-made grounds for networking to be innovative. Meantime, it is struggling for innovations to be transformed into measurable economic results if players encounter a weak network of collaborative relationships in the ecosystem.
Ecological intensification has been proposed as a promising lever for a transition towards more sustainable food systems. Various food systems exist that are based on ecological intensification and may have potential for a sustainability transition. Little is known, however, about their diversity and about how they perform against dominant systems in terms of the multiple societal goals. The aim of this study is to contribute to knowledge about sustainability transitions in food systems through an empirical analysis of vegetable food systems in Chile.
Grand societal challenges, such as global warming, can only be adequately dealt with through wide-ranging changes in technology, production and consumption, and ways of life, that is, through innovation. Furthermore, change will involve a variety of sectors or parts of the economy and society, and these change processes must be sufficiently consistent in order to achieve the desired results. This poses huge challenges for policy-making. This paper focus on implications for the governance of innovation policy, i.e., policies influencing a country’s innovation performance.
The article presents indicators of the agricultural industry management system: doing business in a digital and technological transformation from the perspective of an ontological approach. It is important to note that it is impossible to transform under the requirements of the modern world without the introduction of innovation. However, innovation is always marked by financial costs and loss of time, which reduces the innovative activity of organizations in the agricultural sector, and, therefore, determines the diagnosis of innovation and investment policy.
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 major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.