Lecture

Innovation Taxonomies: Value Generation & Distribution

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In course

MGT-202: Technologie, économie et politique: en face des crises

Ce cours traite centralement de l'innovation comme réponse essentielle aux grandes crises de notre temps - ce que l'on appelle aujourd'hui les grands défis sociétaux. Le cours alternera présentations théoriques - notamment fondées sur l'analyse micro-écono ...

Description

This lecture explores innovation taxonomies focusing on value generation and distribution. It covers different types of innovation such as product, process, model, system, and economic innovation. The lecture delves into the impact of innovations on consumer needs, production costs, and economic activity. It also discusses the value distribution aspect, distinguishing between business, social, and public innovations. The instructor presents examples of famous innovations and debates the concept of soft innovation, emphasizing aesthetic and intellectual appeal over functional performance in various industries.

Instructor

Dominique Foray

1 - Current occupations and activities I am Full Professor at the Ecole Polytechnique Fédérale de Lausanne (EPFL) and hold the Chair of Economics and Management of Innovation (CEMI). I am a member of the Swiss Council for Science (SWR); chairman of the Advisory Board of the Swiss Economic Research Institute (KOF); and a foreign member of the Center of Capitalism and Society (Columbia University, New York). From 2007 to 2015, I served as a member of the Swiss National Research Council (Division IV - Large Scale Programs) From 2013 to 2016, I was a member of the Expert Commission for Research and Innovation of Germany (E-FI) and a member of the Expert Group for the National Report on Research and Innovation (SBFI, Switzerland). From 2008 to 2011, I served as chairman of the expert group Knowledge for Growth; a group of prominent economists created to advise Commissioner J. Potocnik (European Commission, DG research). This is during this service as member of this Group that I developed the concept of smart specialisation (together with P.A.David and B.Hall) that is now a key policy mechanism of the EU (cohesion policy). My expertise includes the economics of innovation and knowledge and the economic policy implications of the new knowledge-based economy. I have presented many opening speeches and key note address in academic and policy conferences on these topics. I have written numerous academic papers as well as two books and have edited several books and special issues in these fields. Among these books,I like to highlight : Technology and the Wealth of Nations (Pinter, 1992) ed.with C.Freeman; Unemployment and Growth in the Knowledge-based Economy (OECD, 1996), ed. with B.A.Lundvall; Knowledge economies and societies (a special issue of the International Social Science Journal, Basil Blackwell, 2002, with editions in French, Spanish, Chinese, Arabs, Russian); The Economics of knowledge (MIT press, 2004, paperback in 2006) with editions in France, Italy, Korea, China, Greece, Syria and Algeria The New Economics of Technology Policy(Edward Elgar)2009, ed.; . Smart specialisation : opportunities and challenges for regional innovation policy(Routledge, 2015) Since 2017, I regularly contribute to the Swiss Science Council blog: https://blog.wissenschaftsrat.ch/ 2 Education, previous appointments and academic positions - I received my Ph.D. in economics in 1984 and my "habilitation à diriger des recherches" in 1992 from the University Lumière of Lyon. - In 1985, I joined the Centre National de la Recherche Scientifique (CNRS) as a Research Fellow in economics. - In 1990, I joined the Ecole Centrale de Paris as professor of economics, and taught in the program ingénieur économiste. - In 1993, I was nominated as Research Director at CNRS and joined the Institut pour le Management de la Recherche et de l'Innovation (IMRI) of the University of Paris-Dauphine. - In 2001-2004, I worked as a Principal Analyst at the Center for Education, Research and Innovation of OECD (Paris). - I joined the EPFL as Professeur Ordinaire in 2004. 3 - Honours and awards Best young economist award - City of Lyon (France)1986 Outstanding research in 1995 (médaille du CNRS)(France) Futuris award in 2012 for his work on smart specialisation Best paper award, EJIM, 2014 Doctor Honoris Causa, University of Cluj Napoca, 2017 I was also elected as Research Fellow at ICER (International Center for Economic Research) in Turin, at the Wissenschaftskolleg in Berlin and at IIASA in Laxenburg; and I was Invited Professor at the Universities of Santiago de Compostela, Torino and Padova. 4 - Consulting activities I have done consulting work for the UNESCO, the OECD, WIPO, UNCTAD, UN/ECE, the European Commission, the Swiss Government and other public organisations. I am currently strongly involved into the "smart specialisation" debate in Europe, giving talks and providing advices in many countries and regions in Europe.

Official source

Related concepts (31)

Innovation

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.

Open innovation

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.

Diffusion of innovations

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.

Probability distribution

In probability theory and statistics, a probability distribution is the mathematical function that gives the probabilities of occurrence of different possible outcomes for an experiment. It is a mathematical description of a random phenomenon in terms of its sample space and the probabilities of events (subsets of the sample space). For instance, if X is used to denote the outcome of a coin toss ("the experiment"), then the probability distribution of X would take the value 0.5 (1 in 2 or 1/2) for X = heads, and 0.

Normal distribution

In statistics, a normal distribution or Gaussian distribution is a type of continuous probability distribution for a real-valued random variable. The general form of its probability density function is The parameter is the mean or expectation of the distribution (and also its median and mode), while the parameter is its standard deviation. The variance of the distribution is . A random variable with a Gaussian distribution is said to be normally distributed, and is called a normal deviate.

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