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Advanced Innovation & entrepreneurship

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  1. Introduction
  2. MODULE 1: CAPITAL, VALUE, AND ORGANIZATION

    Unit 1 Value Creation, the production results
    2 Topics
    |
    1 Quiz
  3. Unit 2 What is the capital and how is it build ?
    2 Topics
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    1 Quiz
  4. Unit 3 : Division and organisation of Labor
    3 Topics
    |
    1 Quiz
  5. Unit 4 : Capturing and Retaining Created Value
    2 Topics
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    1 Quiz
  6. Unit 5 : Value chains and their fragmentation, maximizing the value captured
    2 Topics
    |
    1 Quiz
  7. MODULE 2: INNOVATION AS A SOCIAL PROCESS
    Unit 6 : Adoption, a frontier between invention and innovation
    2 Topics
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    1 Quiz
  8. Unit 7 : Innovation as a social process
    2 Topics
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    1 Quiz
  9. Unit 8 : Location and Links in innovation
    3 Topics
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    1 Quiz
  10. Unit 9 : Innovation process between companies
    2 Topics
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    1 Quiz
  11. Unit 10 : The case of Knowledge industries
    3 Topics
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    1 Quiz
  12. Unit 11: Values typologie
    2 Topics
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    1 Quiz
  13. Unit 12 : Innovation as a process of value proposal
    3 Topics
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    1 Quiz
  14. MODULE 3: DIGITAL TRANSFORMATION, INTANGIBLE CAPITAL AND RESPONSIBILITY
    Unit 13 : Digital transformation
    2 Topics
    |
    1 Quiz
  15. Unit 14 : Intangible capital role in Innovation
    4 Topics
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    1 Quiz
  16. Unit 15 : Public investment generating positive externalities in service of innovation
    3 Topics
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    1 Quiz
  17. Unit 16 : Corporate social and environmental responsibility in an innovation context
    2 Topics
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    1 Quiz
  18. Unit 17 : Innovative management methods of companies
    2 Topics
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    1 Quiz
  19. Conclusion and References
    General Conclusion
  20. Bibliographic references
  21. Final Assessment
    1 Quiz
Lesson Progress
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Transcript

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The Emergence of the Open Innovation Concept

In the early 2000s, Henry Chesbrough at Berkeley published Open Innovation. This book marked a turning point. It changed how companies think about and manage innovation.

Traditionally, companies used closed innovation. Everything stayed inside, from idea to product. The company controlled all stages. Research was secret. Patents protected results. The boundary stayed firm.

Factors of Change

This old model had logic. Knowledge moved slowly. Talent stayed in clusters. So keeping everything inside made economic sense. Big R&D budgets gave power. But things changed fast.

Knowledge spread everywhere: universities train millions. Startups and labs create ideas. No single company can hold all expertise. As Chesbrough said: not all smart people work for you.

Innovation accelerated: technology cycles shortened. Waiting for internal ideas can take too long. So external sources help speed up.

R&D costs exploded: a new drug takes billions. A new aircraft takes decades. Risks are enormous. So sharing them makes sense.

Collaboration became easy: internet tools connect everyone. Thousands can work together at almost no cost. So open innovation became possible.

Forms of Innovation Outsourcing

Innovation outsourcing takes several forms.

Strategic partnerships with startups happen everywhere now. Large companies invest or acquire. Google and Amazon do it often. The goal is simple: quickly access new technologies and spot early trends.

Corporate incubators also help. They attract useful startups. LVMH built the Maison des Startups. Airbus launched BizLab. Startups get support and access. The company gets fresh ideas.

Crowdsourcing uses the crowd. InnoCentive posts hard problems. Anyone can propose a solution. If it works, they are rewarded. P&G solved hard problems this way.

Open source reshaped software. Companies now contribute together to shared platforms. Linux, Kubernetes, TensorFlow. Innovation becomes collective and moves much faster.

Living Labs add users early. They help design the product, not just test it later. LEGO Ideas shows this well. Fans propose models. Ten thousand votes trigger review. Thus users become co-creators.

Academic consortia pool research. Competitors join forces before competing in markets. SEMATECH did this in chips. It helped US companies stay strong.

Licenses accelerate access to technology. Companies buy patents instead of reinventing them. Qualcomm built its model on this.

Risks and Challenges

Open innovation brings benefits: it expands the idea pool, cuts R&D costs, speeds up development, and shares risk. But it also brings risks companies must manage.

Loss of control: opening up means sharing. How to protect secrets? How to keep an advantage? IP management becomes harder.

Dependence on partners: if companies outsource too much, they lose key skills. If the partner fails or changes direction, the company becomes exposed. So balance is crucial.

Coordination becomes tricky: partners differ in culture, timing, goals. The company must learn to orchestrate an entire ecosystem.

The “not invented here” syndrome: teams may reject external ideas out of pride or fear. This slows progress. So culture must change to value all innovation.

Strategic Implications

A strategic tension remains: how far should a company open up? Too open loses advantage. Too closed loses speed. The right degree varies by sector and strategy.

Outsourcing innovation is not abandoning. It is a deeper engagement with a larger, faster world. No company can innovate alone today. Innovation is now distributed and ecosystem-based.

But this openness requires skills. Companies must choose good partners, set clear rules, integrate external ideas, and protect what matters while sharing enough to grow.

Innovation management changes. It becomes network management. The modern company is not a fortress. It is a connected node in a global web of ideas, ready to capture and develop knowledge born anywhere.

This change raises a question: where does the company begin and where does it end when innovation is shared?