Innovation Blog

Discover how Jim Collins' “Good to Great” principles can revolutionize R&D teams. Learn why technology alone isn’t enough, how finding your "Hedgehog Concept" gives research real direction, and how a disciplined approach transforms good innovation into greatness.

In the rapidly progressing field of research and development (R&D), teams often encounter repeating challenges. This blog presents four insights explaining the common obstacles R&D teams face in knowledge sharing and the resultant unnecessary repetition of work. It highlights that teams often solve the same problems in isolation, centralized knowledge management is not always effective, there is typically a short attention span for internal searches, and valuable knowledge can stem from smaller projects. To improve efficiency, we propose two strategies: 1) Improving knowledge management systems to make existing knowledge more accessible, nudging employees to search internally for solutions, and 2) Encouraging real-time documentation using AI technology to track and record work progress. These strategies aim to reduce repetitive work and maximize innovation in R&D environments.

Before creating the Universe, we consulted R&D professionals on their research approach, paper reading, and experiment observation. We discovered that everyone has a unique method, which can be classified into three categories: structured, semi-structured, and unstructured.

See how leading companies in Europe organize technology scouting: predicting customer needs, mapping knowledge, sharing work across teams, testing new ideas, and managing insights.

Cost-focused companies can stay competitive by building strong technology scouting teams, partnering with external innovators, and using AI tools like IGOR^AI to track trends. Learn how to spot the right moment to follow new technologies and avoid costly risks while keeping your edge.

Innovation can be tough, but revamping technology scouting is key to staying ahead. Discover five simple strategies—like cross-industry collaboration, clear goals, the right tools, rewards, and a culture of learning—to help your R&D team uncover fresh breakthroughs beyond their industry.

Should your company focus on small, steady improvements or bold, industry-shifting breakthroughs? Explore the differences between incremental and breakthrough innovation, and learn how to balance these approaches to fit your goals, resources, and risk tolerance for lasting R&D success.

This article highlights the importance of asking the right questions to harness the power of AI-driven innovation in business. It emphasizes understanding customer needs, defining the problem scope, and identifying crucial questions to guide AI-based tools like ChatGPT and IGOR^AI in generating valuable insights. By adopting this approach, R&D managers can leverage AI-driven innovation to transform their businesses and maintain a competitive edge in the market.

Open innovation transforms R&D by encouraging companies to collaborate with partners, customers, and even competitors. Learn how embracing external ideas, building a collaborative culture, and using digital tools can boost creativity, speed up innovation, and strengthen your competitive edge.