Towards Integration of Innovation Systems and Foresight Research in Firms and Corporations

This report examines the integration of innovation systems and foresight research within firms, proposing a reformulation of the classical Takeuchi-Nonaka Model. It explores the role of foresight in innovation, offering alternative interaction models and connecting them to empirical findings in innovation research.

(Generated with the help of GPT-4)

The research method involved a theoretical analysis of the relationship between foresight systems and innovation processes within firms. It included the development of seven alternative interaction models to explain firm-level differences in innovation behavior and the role of foresight in strategic decision-making.

(Generated with the help of GPT-4)

The research explores the relationship between innovation systems and foresight research in firms, challenging the classical Takeuchi-Nonaka Model. It introduces seven alternative interaction models that explain firm-level differences in innovation behavior. The study connects foresight systems to innovation processes, emphasizing the role of foresight in strategic decision-making and sense-making in rapidly changing markets. It suggests that foresight knowledge plays a more significant role in innovation processes than previously acknowledged, and that time-related perspectives like hindsight, insight, and foresight are crucial in understanding evolutionary processes in innovation.

(Generated with the help of GPT-4)

Categories: English publication language | Global geographic scope | competitive advantage | evolutionary processes | finance | firm-level differences | foresight | foresight research | innovation economy | innovation systems | interaction models | knowledge | sense-making | strategic decision-making | strategic management | technological regimes | technology | time-related perspectives