Innovation system

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The concept of the innovation system stresses that the flow of technology and information among people, enterprises, and institutions is key to an innovative process. It contains the interactions between the actors needed in order to turn an idea into a process, product, or service on the market.

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Development and diffusion of the concept

Systems of Innovation are frameworks for understanding innovation which have become popular particularly among policy makers and innovation researchers first in Europe, but now anywhere in the world as in the 1990s the World Bank and other UN-affiliated institutions accepted. The concept of a 'system of innovation' was introduced by B.-Å. Lundvall in 1985; [1] "however, as he and his colleagues would be the first to agree (and as Lundvall himself points out), the idea actually goes back at least to Friedrich List's conception of "The National System of Political Economy" (1841), which might just as well have been called "The National System of Innovation". [2] Christopher Freeman coined the expression National Innovation System in his 1988 study of the success of the Japanese economy. [3] [2] The concept, similarly used as "National System of Innovation" or "National Innovation System" was later applied to regions and sectors. According to innovation system theory, innovation and technology development are results of a complex set of relationships among actors in the system, which includes enterprises, universities and research institutes.

Innovation systems have been categorised into national innovation systems, regional innovation systems, local innovation systems, technological innovation systems and sectoral innovation systems.

There is no consensus on the exact definition of an innovation system, and the concept is still emerging. However, some define an innovation system as "a set of components and the causal relations influencing the generation and utilization of innovations and the innovative performance". [4] Innovation is often the result of the interaction among an ecology of actors, and the term innovation ecosystem is occasionally used to emphasise this. For some, the expression innovation ecosystem is a subset or synonym of innovation system. Others separate between the expressions, using the expression innovation system for labelling a planned innovation environment, and innovation ecosystem for an ecological innovation environment. [5] Due to growing interest of the "innovation ecosystem" concept, many argue that it has developed into a distinctive concept that is different from the innovation system concept. A contemporary conceptual review by Granstrand and Holgersson (2020) led to the definition of innovation ecosystems as "the evolving set of actors, activities, and artifacts, and the institutions and relations, including complementary and substitute relations, that are important for the innovative performance of an actor or a population of actors". [4]

Recently, the debate also started to study the problems that affect green innovation since in addition to the issues typical of innovation generally (such as market failures related to limited appropriability of economic benefits of knowledge), green growth innovation is also hindered by market failures related to the environment (pollution externalities). It is possible (and not uncommon) for an innovation system to successfully support innovation in many technology areas, but not in ones related to green growth. For this reason, it is necessary to focus on addressing both kinds of failures in order to drive innovation towards a green growth trajectory. [6]

Standards of Innovation

The International Standards Organisation published their standard ISO 56002, which contains all of the elements that is required to set up a structured management system for innovation. It builds on the overarching standard for management systems and follows the directives of all standard management systems. [7] This standard was standardised into the European Norms and British Standards, and is known in the UK as BS EN ISO 56002:2019.

Examples of definitions of National Innovation Systems

A national system of innovation has been defined as follows:

See also

Related Research Articles

<span class="mw-page-title-main">Innovation</span> Practical implementation of improvements

Innovation is the practical implementation of ideas that result in the introduction of new goods or services or improvement in offering goods or services. ISO TC 279 in the standard ISO 56000:2020 defines innovation as "a new or changed entity realizing or redistributing value". Others have different definitions; a common element in the definitions is a focus on newness, improvement, and spread of ideas or technologies.

The National Innovation System is the flow of technology and information among people, enterprises and institutions which is key to the innovative process on the national level. According to innovation system theory, innovation and technology development are results of a complex set of relationships among actors in the system, which includes enterprises, universities and government research institutes.

<span class="mw-page-title-main">Diffusion of innovations</span> Theory on how and why new ideas spread

Diffusion of innovations is a theory that seeks to explain how, why, and at what rate new ideas and technology spread. The theory was popularized by Everett Rogers in his book Diffusion of Innovations, first published in 1962. Rogers argues that diffusion is the process by which an innovation is communicated over time among the participants in a social system. The origins of the diffusion of innovations theory are varied and span multiple disciplines.

<span class="mw-page-title-main">Carlota Perez</span> Venezuelan economist (born 1939)

Carlota Perez is a British-Venezuelan scholar specialized in technology and socio-economic development. She researches the concept of Techno-Economic Paradigm Shifts and the theory of great surges, a further development of Schumpeter's work on Kondratieff waves. In 2012 she was awarded the Silver Kondratieff Medal by the International N. D. Kondratieff Foundation and in 2021 she was awarded an Honorary Doctorate by Utrecht University.

Leapfrogging is a concept used in many domains of the economics and business fields, and was originally developed in the area of industrial organization and economic growth. The main idea behind the concept of leapfrogging is that small and incremental innovations lead a dominant firm to stay ahead. However, sometimes, radical innovations will permit new firms to leapfrog the ancient and dominant firm. The phenomenon can occur to firms but also to leadership of countries or cities, where a developing country can skip stages of the path taken by industrial nations, enabling them to catch up sooner, particularly in terms of economic growth.

Technological change (TC) or technological development is the overall process of invention, innovation and diffusion of technology or processes. In essence, technological change covers the invention of technologies and their commercialization or release as open source via research and development, the continual improvement of technologies, and the diffusion of technologies throughout industry or society. In short, technological change is based on both better and more technology.

Open innovation is a term used to promote an information age mindset toward innovation that runs counter to the secrecy and silo mentality of traditional corporate research labs. The benefits and driving forces behind increased openness have been noted and discussed as far back as the 1960s, especially as it pertains to interfirm cooperation in R&D. Use of the term 'open innovation' in reference to the increasing embrace of external cooperation in a complex world has been promoted in particular by Henry Chesbrough, adjunct professor and faculty director of the Center for Open Innovation of the Haas School of Business at the University of California, and Maire Tecnimont Chair of Open Innovation at Luiss.

<span class="mw-page-title-main">Technology adoption life cycle</span> Sociological model

The technology adoption lifecycle is a sociological model that describes the adoption or acceptance of a new product or innovation, according to the demographic and psychological characteristics of defined adopter groups. The process of adoption over time is typically illustrated as a classical normal distribution or "bell curve". The model indicates that the first group of people to use a new product is called "innovators", followed by "early adopters". Next come the early majority and late majority, and the last group to eventually adopt a product are called "Laggards" or "phobics." For example, a phobic may only use a cloud service when it is the only remaining method of performing a required task, but the phobic may not have an in-depth technical knowledge of how to use the service.

Christopher Freeman a British economist, recognised as one of the founders of the post-war school of Innovation Studies. He played a lead role in the development of the neo-Schumpeterian tradition focusing on the crucial role of innovation for economic development and of scientific and technological activities for well-being.

Bengt-Åke Lundvall is an emeritus professor in economics at the Department of Business and Management at Aalborg University.

<span class="mw-page-title-main">Daniele Archibugi</span> Italian economic and political theorist

Daniele Archibugi is an Italian economic and political theorist. He works on the economics and policy of innovation and technological change, on the political theory of international relations and on political and technological globalisation.

The technological innovation system is a concept developed within the scientific field of innovation studies which serves to explain the nature and rate of technological change. A Technological Innovation System can be defined as ‘a dynamic network of agents interacting in a specific economic/industrial area under a particular institutional infrastructure and involved in the generation, diffusion, and utilization of technology’.

The chain-linked model or Kline model of innovation was introduced by mechanical engineer Stephen J. Kline in 1985, and further described by Kline and economist Nathan Rosenberg in 1986. The chain-linked model is an attempt to describe complexities in the innovation process. The model is regarded as Kline's most significant contribution.

Zizhu chuangxin is a term frequently used in China by the Chinese government, academics, and businesses to describe the Chinese technology-led economic transformation in the past decades.

Demand articulation is a concept developed within the scientific field of innovation studies which serves to explain learning processes about needs for new and emerging technologies. Emerging technologies are technologies in their early phase of development, which have not resulted in concrete products yet. Many characteristics of these technologies, such as the technological aspects but also the needs of users concerning the technology, have not been specified yet. Demand articulation can be defined as ‘iterative, inherently creative processes in which stakeholders try to address what they perceive as important characteristics of and attempt to unravel preferences for an emerging innovation’.

The Norwegian paradox is a dilemma of Norway's economic performance where economic performance is strong despite low R&D investment.

Technological transitions (TT) can best be described as a collection of theories regarding how technological innovations occur, the driving forces behind them, and how they are incorporated into society. TT draws on a number of fields, including history of science, technology studies, and evolutionary economics. Alongside the technological advancement, TT considers wider societal changes such as "user practices, regulation, industrial networks, infrastructure, and symbolic meaning or culture". Hughes refers to the 'seamless web' where physical artifacts, organizations, scientific communities, and social practices combine. A technological transition occurs when there is a major shift in these socio-technical configurations.

The sociological theory of diffusion is the study of the diffusion of innovations throughout social groups and organizations. The topic has seen rapid growth since the 1990s, reflecting curiosity about the process of social change and "fueled by interest in institutional arguments and in network and dynamic analysis." The theory uses a case study of the growth of business computing to explain different mechanisms of diffusion.

<span class="mw-page-title-main">Charles Edquist</span>

Charles Edquist is a Swedish researcher in Innovation, one of the founders and the first Director (2004-2011) of CIRCLE at Lund University, Sweden, and the holder of the Ruben Rausing Chair in Innovation Research at CIRCLE. Some of his most noted research contributions have been on the ‘Systems of Innovation approach’, the ‘Swedish Paradox’ and ‘Innovation Policy’. His early contributions to the ‘public procurement for innovation’ literature are among his most cited works to date.

Technology intermediaries are an important actor of the innovation system. According to Howells their role is to act as brokers or third parties in order to build the bridges between the various participations within the open system.

References

  1. B.-Å. Lundvall (1985) ‘Product innovation and user-producer interaction, industrial development’, Research Series 31, Aalborg: Aalborg University Press.
  2. 1 2 Freeman, C. (February 1995). "The "National System of Innovation" in Historical Perspective". Cambridge Journal of Economics . 19 (1). OCLC   1192689088.
  3. Freeman, C. (1988). "Japan: A new national innovation system?". In Dosi, G.; Freeman, C.; Nelson, R. R.; Silverberg, G.; Soete, L. (eds.). Technology and economy theory. London: Pinter.
  4. 1 2 Granstrand, Ove; Holgersson, Marcus (2020-02-01). "Innovation ecosystems: A conceptual review and a new definition". Technovation. 90–91: 102098. doi: 10.1016/j.technovation.2019.102098 . ISSN   0166-4972.
  5. Organisation for Economic Co-operation and Development (1997). National Innovation Systems (PDF).
  6. Botta, Enrico; McCormick, Colin; Eis, Jason (May 2015). A Guide to Innovation System Analysis for Green Growth. Global Green Growth Institute.
  7. Ozan, Håkan (2019-08-07). "The ISO 56002 standard for innovation management is now published". Håkan Ozan on innovation thinking. Retrieved 2019-11-21.
  8. Edquist, C. (2005). "Systems of Innovation: Perspectives and Challenges". In Fagerberg, Jan; Mowery, David C. (eds.). The Oxford Handbook of Innovation. Oxford University Press. p. 182. doi:10.1093/oxfordhb/9780199286805.003.0007.
  9. Hwang, Victor and Greg Horowitt (2012). The Rainforest: The Secret to Building the Next Silicon Valley. Los Altos Hills: Regenwald. p. 304. ISBN   978-0615586724.

Further reading