Back to Course

Advanced Innovation & entrepreneurship

0% Complete
0/0 Steps
  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
    |
    1 Quiz
  4. Unit 3 : Division and organisation of Labor
    3 Topics
    |
    1 Quiz
  5. Unit 4 : Capturing and Retaining Created Value
    2 Topics
    |
    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
    |
    1 Quiz
  8. Unit 7 : Innovation as a social process
    2 Topics
    |
    1 Quiz
  9. Unit 8 : Location and Links in innovation
    3 Topics
    |
    1 Quiz
  10. Unit 9 : Innovation process between companies
    2 Topics
    |
    1 Quiz
  11. Unit 10 : The case of Knowledge industries
    3 Topics
    |
    1 Quiz
  12. Unit 11: Values typologie
    2 Topics
    |
    1 Quiz
  13. Unit 12 : Innovation as a process of value proposal
    3 Topics
    |
    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
    |
    1 Quiz
  16. Unit 15 : Public investment generating positive externalities in service of innovation
    3 Topics
    |
    1 Quiz
  17. Unit 16 : Corporate social and environmental responsibility in an innovation context
    2 Topics
    |
    1 Quiz
  18. Unit 17 : Innovative management methods of companies
    2 Topics
    |
    1 Quiz
  19. Conclusion and References
    General Conclusion
  20. Bibliographic references
  21. Final Assessment
    1 Quiz
Lesson Progress
0% Complete
Transcript

Use the Listen button to hear the transcript. You can pause and resume the audio, and stop it at any time.
Note: You need to mute the video to hear the transcript in other languages instead of English or it will overlap with the video audio.
Please also keep in mind not all languages are supported by the TTS engine.

The Difficulty of Valuation

Intangible capital is special. It is difficult to value and difficult to sell. Take training, for example. Training does not belong to the company; it belongs to the people who were trained. So when they leave, the skills leave with them. This raises questions for companies and also for countries that fear “brain drain.”

To see why this matters, think about large digital companies. Take Apple. Its value comes mainly from intangible assets: patents, software, design, and the quality of its people. Physical production of the iPhone is outsourced. Apple keeps only the highest value-added tasks, mainly design and innovation.

The Limits of Economic Measurement

Measuring intangible capital is very difficult. We can see this with GDP. GDP is the sum of value added produced in a country in one year. On paper, it should capture everything. But in practice, it does not.

In simple terms, value added is: revenue minus intermediate consumption. Then this value added is shared among: taxes and subsidies, wages, and profits.

So, anything without accounting value does not appear clearly. Human capital, for example. For the company, it often looks like a cost, not an asset.

From a social point of view, the problem is the same. One cannot directly measure the benefit of health spending, education, or social cohesion. One also does not measure unpaid work, like volunteering, even though it clearly creates value.

Three Major Problems

These limits create three major problems with intangible capital.

Underinvestment: because leaders cannot prove a clear, direct return, they invest too little. Think of training. We know it helps. But how much to invest? This is very hard to quantify.

Strategic myopia: decisions focus only on what is visible and tangible. For example, companies may lay off older workers who seem less productive. But they lose their experience and knowledge. The French nuclear industry is a good case. For 20 years, there was too little investment. Now it is difficult to restart projects because key skills and expertise have been lost.

A poor understanding of how innovation really works: if you do not understand intangible capital, you are almost flying blind in a knowledge economy. You invest in buildings and machines but miss the real mechanism of innovation.