Innovation Systems and Their Components

Innovation Systems

Introduction

This lecture discusses innovation systems, including technological, national, sectoral, and regional innovation systems. The lecture will cover the theoretical foundations of innovation and explain the purpose and benefits of using the innovation systems framework.

Definition of Innovation System

An innovation system is defined as an interrelated structure of institutions and actors, utilizing relationships within a specific industrial context.

Components of Innovation Systems

  • Actors: Firms, individuals, and networks.

  • Knowledge Flows: Technologies and artifacts.

  • Institutions: Structures shaping behavior.

Learning and knowledge formation, including both formal and tacit knowledge, are central to innovation systems. Innovation involves breaking from routines and unlearning, which accumulates within these systems.

Purpose of Innovation Systems

Governments and state agencies use the innovation systems concept to understand how to promote increased knowledge, learning, and innovation rates. It also highlights the role of government in fostering innovation.

Theoretical Roots of Innovation

Adam Smith

Adam Smith, a key figure of the Scottish Enlightenment, laid the foundations for economics. He introduced the concept of the free market and the invisible hand. The invisible hand describes the unintended social benefits of public goods resulting from individuals acting in their self-interest.

  • Self-Interest and the Market: Smith noted that individuals acting in their self-interest (e.g., a baker seeking profit) lead to better quality and prices, benefiting customers. This dynamic increases overall wealth within the market.

  • Division of Labor: Smith described how dividing labor increases efficiency.

  • Economics as Non-Zero Sum: Smith explained that wealth creation in a market is not at someone else's expense; overall wealth increases through beneficial interactions.

Smith's work explains why capitalist societies with free and open markets tend to accumulate the most wealth, driven by a system that incentivizes societal value creation.

Karl Marx

Marx defined capitalism and viewed social change as a conflict between groups with different interests. He criticized capitalism for dehumanizing people and destroying social relationships but acknowledged its role in creating growth and social unrest. Marx advocated for a classless society governed by socialism and believed that some countries could transition gently to socialism, while others would require violence.

  • Critique of Capitalism: Marx saw capitalism as creating social instability with cycles of recession and depression.

  • Vision of Socialism: He envisioned a socialist utopia achieved through the dictatorship of the proletariat.

  • Foundation for Economic Research: Marx's analysis of capitalism laid the foundation for modern economic research.

Joseph Schumpeter

Schumpeter explained capitalism as an evolutionary process of continuous innovation, or creative destruction, which drives economic development in free markets but not in feudal or socialist societies. He argued that economic development occurs within capitalist free markets because people have the right to open their own company . Even though we have a capitalist system, we also have mixed systems where we have natural monopolies such as electrical grids and railroads.

Milton Friedman

Friedman laid the foundation for modern economics and was an adversary of John Maynard Keynes. Friedman advocated for free markets, explaining that economies go through structural cycles (recessions and booms) and that government intervention only worsens these natural changes. He also warned against big businesses, which, like communists, resist change and innovation because it threatens their control.

  • Importance of Free Markets: Friedman emphasized that free markets and individual decision-making increase societal efficiency.

  • Dangers of Big Business: He noted that large, established companies often lobby against the state to protect their interests, hindering innovation.

  • Creative Destruction: Continuous exposure to innovation and creative destruction is essential for economic development.

Innovation Systems

Sociotechnical Systems Perspective

Innovation systems take a sociotechnical systems perspective on change and innovation, challenging the linear innovation model (i.e., basic science leading to applied science and then development). Unlike the linear model, innovation systems emphasize interactive and iterative processes with feedback loops across knowledge domains. Government agencies can use this approach to determine how to support innovation rates and technological development.

Components of Innovation System Frameworks

  1. Structure:

    • Structures supply functions within the system.

  2. Function:

    • Functions explain equilibrium through innovation.

Challenges in Applying Innovation System Approach

  • Openness: Systems are prone to openness, with numerous actors having their own intents.

  • Delineation: Difficulty in defining the boundaries around the system.

Evolution of Innovation System Models

The innovation system model has been developed since the 1980s. Contributions include:

  • Freeman and Lundvall: Highlighted the importance of division of labor, cooperation, and coordination.

  • Edquist: Built on Schumpeter's work to emphasize learning and interaction with the contextual environment and that innovation is a result of social processes and interactive learning.

  • Importance of Institutions: Formal (laws, regulations) and informal (practices, habits) institutions govern innovation processes.

Types of Innovation Systems

  1. National Innovation System: Focuses on innovation rates within a nation.

  2. Technological Innovation System: Centers on a specific technology, transcending national borders.

  3. Sectoral Innovation System: Concentrates on an industry and its innovation system.

  4. Regional Innovation System: Focuses on innovation within a specific region (e.g., Silicon Valley).

Technological Innovation Systems (TIS)

A network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure, involved in the generation, diffusion, and implementation of technology.

  • Knowledge and Competence: TIS are defined in terms of knowledge and competence flows rather than goods and services.

  • Dynamic Networks: They consist of dynamic knowledge and competence networks.

  • Entrepreneurial Presence: Requires the presence of an entrepreneur and sufficient critical mass to transform networks into synergistic clusters of firms and technologies.

Structures and Functions of TIS

  • Structures:

    • Actors (networks of actors, companies, agencies).

    • Institutions (formal and informal).

    • Technology (infrastructure, product).

  • Functions:

    • Knowledge development and diffusion.

    • Entrepreneurial experimentation.

    • Influence on the direction of research (guidance of search).

    • Market formation.

    • Legitimization of technology.

    • Resource mobilization.

    • Development of positive externalities (positive effects on other innovation systems).

Purpose Guiding Innovation Support

By observing these functions, one can better understand the state of the innovation system. Government agencies can use this approach to identify areas needing support (e.g., market formation, entrepreneurial experimentation, etc.) to improve the overall functioning of the TIS.