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.
In organizations, mandated adoption contexts are the rule rather than the exception. Individuals, who are denied the choice between adopting and rejecting an innovation, are more likely to engage in opposition behavior, particularly if the innovation conflicts with their held beliefs. Interestingly, neither the construct of forced adoption nor its consequences have received much research attention. To address this gap, was conducted a systematic literature review and provide theoretical rationales for the emergence of innovation resistance and opposition behaviors in organizations.
The integration of ethics into the day-to-day work of research and innovation (R&I) is an important but difficult challenge. However, with the Aachen method for identification, classification and risk analysis of innovation-based problems (AMICAI) an approach from an engineering perspective is presented that enables the integration of ethical, legal and social implications into the day-to-day work of R&I practitioners.
Innovation is important for development in the private sector, but inevitably public sector also needs innovation to enhance services and processes, with research on employee-driven digital innovation in public organizations being limited. Was proposed a study in a public organization based on action design research (ADR) methodology to enhance theoretical knowledge and develop practice in relation to employee-driven digital innovation.
On the occasion of the 30th anniversary of Innovation System research, this paper presents an extensive literature review on this large field of innovation research. Building on an analytical basis of the commonalities “system” and “innovation”, the authors analyze the four main Innovation System approaches: National Innovation Systems (NIS), Regional Innovation Systems (RIS), Sectoral Innovation Systems (SIS) and Technological Innovation Systems (TIS). The analysis is structured systematically along ten comprehensive criteria.
Agricultural Innovation System (AIS) is a collection of institutions enabling agricultural and food system transformation in a country. Any attempt to engage in emergency interventions by institutions and bounce back with higher levels of resilience requires strong organizational and human capacity as a prerequisite. What role do these institutions play in emergencies such as COVID-19 and how can they bounce back after such a crisis is over? What can be done to help these institutions build resilience capacity for such recovery?
Since global issues (i.e. disruption technology and sustainability) attracted the attention of agricultural system researchers and company, innovation system plays a significant role in the development of agricultural downstream supply chain, in order to make agriculture business sustain. Hence, researches in innovation system for agricultural downstream supply chain are very important in dealing with these challenges.
At the 5th Global Science Conference on Climate-Smart Agriculture in Bali, CCAFS, IFAD and USDA-FAS organized the Side event “Accelerating innovation development and scaling climate-smart agriculture to drive a transformation in food systems”. High-level representatives of > 20 governments, research, donor, financial and policy institutions, civil society and private sectors discussed their previously shared insights and agreed to act as an “Insight Group” for further related CCAFS research and action.
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.
Technological influence was a great support for judgment-making in various fields, especially in agriculture. Agriculture production has been on the rise over recent years due to a lack of knowledge of agriculture and ecological shifts. The main goal of this system is to accomplish farmers in e-Agriculture of their wakefulness, usage, and observation. The study used a technique of numerical study design to collect data from farmers for their e-commerce awareness The data gathered indicate there is less understanding that there is a need for help for e-agriculture.