Expert Group Meeting on Investment, Research, Development and Innovation the ICT Sector ( Tunisia, 7-8 May 2013)
Abstract
The presentation uses the concept of sectoral innovation system and argues for the importance of analyses conducted at sectoral level, because there are significant differences across economic sectors in the variables and mechanisms involved in catch-up.
Drawing on empirical evidences from research the presentation shows how innovation differs across sectors in terms of sources and patterns of technological change, appropriability conditions, knowledge base and accumulation of knowledge, and last but not least organizations and actors involved. A strong emphasis will be put on how the ICT sector differs from other sectors.
The second part of the presentation first discusses the common factors affecting catching up in six economic sectors – Telecommunications, software, automobile, pharmaceuticals, semi-conductors and agro-food- in several catching-up economies such a Brazil, India, China, Taiwan and Korea. It moves then into discussing the differences across sectors explains how the ICT sector (Telecom and Software) compares to the other sectors.
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Patterns and characteristics of innovation in the ICT sector lessons from successful catching-up economies
1. European Tunisian Conference Tunis, 18-19th February 2013
Patterns and characteristics of innovation in the ICT sector
lessons from successful catching-up economies
Ilyas AZZIOUI
CNRST. Morocco
Expert Group Meeting on Investment, Research, Development and
Innovation the ICT Sector ( Tunisia, 7-8 May 2013)
Date : 7-9 May 2013
2. Relevant issues to
innovation
Why we need to innovate?
How can we promote it?
What linkages are there between research and innovation?
Is it the same story across sectors( software, Auto, Agro-
food, etc.)?
3. Relevant issues to
innovation
As Time Goes By: From the Industrial Revolutions to the Information
Revolution (Chris Freeman & Francisco Louçã)
ICTICT
4. Sectoral Patterns of
Innovation
• High R&D intensity (electronics, pharmaceuticals) and low R&D intensity
(textiles, shoes) (EC, OECD)
• Schumpeter Mark 1 ‘creative destruction’ easy entry, entrepreneurial role,
innovation (machine, biotech), Schumpeter Mark 2 ‘creative
accumulation’ large firms, barriers to entry (semiconductors 1990s,
mainframes 1950-1990s)
• Nature of knowledge and learning (Malerba and Orsenigo 1996/7):
technological opportunities, appropriability conditions, cumulativeness
• Sources of R&D for other sectors (computers, instruments), users of
technology (textiles, steel) (Scherer 1982)
• Nucleus sectors (electronics, machinery, instruments, chemicals) that
generate innovations, secondary sectors in generating innovation (auto,
steel), user sectors (services) (Robson et al 1988)
Attempts to classify sectoral patterns of
innovation
5. Sectoral Patterns of
Innovation
Innovation in sectors is the result of different learning processes, of
the use of different knowledge and of the interaction of different
actors
Major differences across sectors exist in the relative importance of
product and process innovations, size and diversification of innovating
firms
Sector regularities: in some sectors the source of technology is
suppliers of equipment (textiles, construction), other contribute to their
process or product technology (chemicals). Firms in assembly and
continuous process industries (autos or steels) concentrate on process
innovation, mechanical and electrical engineering (machinery )
concentrate on product innovation
Why sectoral innovation systems ?
6. Sectoral Patterns of
Innovation
Category of firm
(1)
Typical core
sectors
(2)
Determinants of technological
Trajectories
Technological
trajectories
(6)
Measured characteristics
Sources
of
technology
(3)
Type
of
user
(4)
Means of
appropriation
(5)
Source of
process
technology
(7)
Relative
balance
between
product and
process
innovation
(8)
Relative size of
innovating
firms
(9)
Intensity and
direction of
technological
diversification
(10)
Supplier dominated
Agriculture;
housing;
Private
services
traditional
manufacture
Suppliers
Research
extension
services;
big users
Price
sensitive
Non-technical
(e.g. trade-marks,
marketing,
advertising,
aesthetic design)
Cost-cutting Suppliers Process Small Low vertical
Scale
Intensive
Production
intensive
Specialised
Suppliers
Bulk materials
(steel, glass);
assembly
(consumer
durables &
autos)
Machinery;
instruments
PE;
suppliers;
R&D
Design and
development
users
Price
sensitive
Performance
sensitive
Process secrecy
and know-how;
technical lags;
patents; dynamic
learning
economies; design
know-how;
knowledge of
users; patents
Cost-cutting
(product
design)
Product
design
In-house;
suppliers
In-house;
customers
Process
Product
Large
Small
High vertical
Low concentric
Science based
Electronics/
electrical;
chemicals
R&D
Public
science;
PE
Mixed R&D know-how;
patents; process
secrecy and
know-how;
dynamic learning
economies
Mixed In-house;
suppliers
Mixed
Large
Low vertical
High concentric
Note: PE = Production Engineering Department
Source: Pavitt (1984)
Pavitt’s (1984) taxonomy of sectoral
patterns of innovation
7. Sectoral Patterns of
Innovation
Supplier Dominated
Production Intensive
Scale Intensive
Production Intensive
Specialized Suppliers
Science Based
Typical Sectors: Agriculture; housing; services,
construction, traditional manufacturing
Sources of technology and innovation : Minor
contribution to their process or product technology
((Weak in-house R&D and engineering). Most process
innovations come from suppliers of equipment and
materials (IT-intensive design) Research extension
services; big users.
Type of user: Price sensitive
Means of appropriation : Non-technical (e.g. trade-
marks, marketing, advertising, aesthetic design, skills)
Technological trajectories: Cost-cutting through
Process innovation.
Size of innovating firms: Small
8. Sectoral Patterns of
Innovation
Supplier Dominated
Production Intensive
Scale Intensive
Production Intensive
Specialized Suppliers
Science Based
Typical Sectors: Firms producing Bulk materials (steel,
glass, food industry) and durable consumer goods &
vehicles. Technological skills are used to exploit scale
economies.
Sources of technology and innovation : Production &
Engineering Dprt (Process Innovation), In-house R&D
(product design), specialized Suppliers of equipment and
instrumentation.
Type of user: Price sensitive
Means of appropriation : Process secrecy and know-
how; technical lags; patents; dynamic learning
economies; design know-how; knowledge of users;
Technological trajectories: Cost-cutting
Size of innovating firms: Large
9. Sectoral Patterns of
Innovation
Supplier Dominated
Production Intensive
Scale Intensive
Production Intensive
Specialized Suppliers
Science Based
Typical Sectors: Machinery; Equipment & instruments.
Sources of technology and innovation : Design and
development, users,
Type of user: Performance sensitive
Means of appropriation : firm-specific skills reflected in
continuous improvements in product design and the ability
to respond sensitively & quickly to users’ needs;
Technological trajectories: Product-design
Size of innovating firms: Small
10. Sectoral Patterns of
Innovation
Supplier Dominated
Production Intensive
Scale Intensive
Production Intensive
Specialized Suppliers
Science Based
Typical Sectors: Pharmaceutical, Chemical and the
Electronic/Electrical sectors.
Sources of technology and innovation : in house R&D
and engineering departments, Public R&D,
Type of user: Performance and Price sensitive
Means of appropriation : Patents (esp. Chemistry)
secrecy, technical lags, firm-specific skills and ability to
operate large scale assembly);
Technological trajectories: Mixed (cost cutting +
Product-design)
Size of innovating firms: Large
11. Sectoral Patterns of
Innovation
Pavitt’s (1984) taxonomy was an important leap forward in
understanding sectoral innovation patterns but:
Most of understanding of innovation derived from studies of
manufacturing and product innovation;
Provides a poor understanding of service Innovation although
services account for more than 70% of Added Value and
Employment in the industrialised economies;
Neglects the pervasive and disruptive impact that had ICT after
the 80s on both sectors manufacturing & services + the
transmission of IT from capital goods sector to services: from (back
office) process improvements (efficiency of delivery of existing
services), to process innovations (service quality), to product
innovations (new services),
13. Sectoral Patterns of
Innovation
Supplier Dominated
Scale Intensive
physical networks
Scale Intensive
Information networks
Science Based
Typical Sectors:
1.Personal Services (Restaurants, Laundry, Beauty).
2.Public and Social Services (Health, Education)
Sources of technology and innovation : weak in-house
R&D, engineering capability & software expertise. Most of the
innovations are coming from suppliers of materials,
information, equipment and ICT sector.
Type of user: 1) Performance sensitive 2) quality sensitive
Means of appropriation : 1) Non-technical (e.g. trade-
marks, marketing, advertising, aesthetic design, skills)
2) not allowed, public,
Technological trajectories: Mixed 1) Product-design 2)
Performance improvement,
Size of innovating firms: 1) Small 2) Large
14. Sectoral Patterns of
Innovation
Supplier Dominated
Scale Intensive
physical networks
Scale Intensive
Information networks
Science Based
Typical Sectors: Services involving large back office
administrative tasks that are suitable for the application of
ICT to reduce costs (Transport & travel, Wholesale,
distribution)
Sources of technology and innovation : Manufacturers
and Software companies .
Type of user: Price sensitive
Means of appropriation : Standards and norms
Technological trajectories: cost cutting and networking,
Size of innovating firms: Large
15. Sectoral Patterns of
Innovation
Supplier Dominated
Scale Intensive
physical networks
Scale Intensive
Information networks
Science Based
Typical Sectors: Firms dependent on elaborate
information networks (e.g., banks, insurance, telecom &
broadcasting), Public utilities such as electricity, water &
gas supply might be included.
Sources of technology and innovation : Manufacturers
(ATMs for banks) Software companies, in house.
Type of user: Price sensitive
Means of appropriation : Standards and norms
Technological trajectories: cost cutting and networking,
Size of innovating firms: Large
16. Sectoral Patterns of
Innovation
Supplier Dominated
Scale Intensive
physical networks
Scale Intensive
Information networks
Science Based
Typical Sectors: Since late 80s Emergence of an
increasing nb Business services closely linked to R&D,
software and DL of IT applications.
Sources of technology and innovation : in-house R&D
and engineering capabilities, customers, suppliers.
Type of user: Performance sensitive
Means of appropriation : R&D Know How , skills
Copyright, product differentiation,
Technological trajectories: System design,
Size of innovating firms: Small & medium
17. Catching up in
different sectoral
systems
What can we learn from the story of catch-up in six different sectors
in emerging Countries (Taiwan, Korea, brazil, India, China, and
others)?
1.Pharmaceuticals (Science based),
2.Autos (scale intensive),
3. Software (specialized supplier and service sectors),
4.Semiconductors and Telecom (design and engineering is important),
5. Agro-food (traditional sectors).
« Catching-up in different sectoral systems: evidence from six
industries »
Franco Malerba & Richard Nelson (2010)
18. Catching up in
different sectoral
systems
firms are the key actors in catch-up , Learning
and Capabilities development of domestic
firms is a necessary condition for catch up
because they provide the catching up country
with the ability of absorbing foreign knowledge
& technology and adapting and modifying
them to generate new knowledge and
products.
Common features affecting
catch-up in 6 sectors
Firms Learning
Access to foreign
Knowledge
Skilled Human Capital
Active Government
Policy
19. Catching up in
different sectoral
systems
the channels to which this access took place
have differed (sector & country). from vertical
networks with suppliers and users, to local
networks, collaborative R&D or production
agreements, to participation to the global value
chain or just outsourcing;
When access to foreign knowledge did not
take place, as in telecommunications in India
and Brazil, the catch-up process has been
seriously unpaired
Common features affecting
catch-up in 6 sectors
Firms Learning
Access to foreign
Knowledge
Skilled Human Capital
Active Government
Policy
20. Catching up in
different sectoral
systems
Important inward mobility form advanced
countries of highly skilled human capital
(scientists, engineers, technopreneurs)
Diasporap and foreigners (consultants) were
critical to the catch-up)
Common features affecting
catch-up in 6 sectors
Firms Learning
Access to foreign
Knowledge
Skilled Human Capital
Active Government
Policy
21. Catching up in
different sectoral
systems
In our 6 sectors government policy has indeed
stimulated and fostered the learning processes
and the capability formation of domestic firms
with different intensity and tools.
Common features affecting
catch-up in 6 sectors
Firms Learning
Access to foreign
Knowledge
Skilled Human Capital
Active Government
Policy
22. Catching up in
different sectoral
systems
In automobile and telecom large firms have
been major actors in the catch-up process
in software and agro-food small firms have
driven sectoral growth
New entrepreneurial firms, SMEs or large size,
characterize the pharmaceutical and the
semiconductor firms
local networks important for the catch-up
process in semiconductors (Taiwan) , formal
and informal interaction, knowledge sharing
Advent of technological and market
discontinuities may favour either totally
newcomers or established domestic
companies. (Software in India Vs Telecom &
Pharmaceuticals where knowledge is
cumulative and strongly science based)
Diffrences across sectoral systems
Industry StructureIndustry Structure
Demand and vertical
links
Gov Policies
Other elements
23. Catching up in
different sectoral
systems
Multinational companies played different roles :
1. software, pharmaceuticals and semiconductors:
catching up countries had to specialize in some
product range in the global value chain and eventually
move uo the learning ladder to more advanced stages
of production or research.
2. Telecom and Autos: the use of license from
multinationals or from foreign firms, or joint ventures
and alliances have been extensively used by domestic
firms to learn and accumulate capabilities.
Diffrences across sectoral systems
Industry Structure
Demand and vertical
links
Gov Policies
Other elements
24. Catching up in
different sectoral
systems
Demand has entered catch-up in two ways:
1. Exports: have been the drivers of catch-up, for
both small firms and large firms. This is the
case of semiconductors, telecom,
pharmaceuticals, software and auto.
2. Domestic Market: has been a major driver of
the learning process and the accumulation of
capability by domestic firms in Large countries
such as China, India and Brazil;
Diffrences across sectoral systems
Industry Structure
Demand and vertical
links
Gov Policies
Other elements
25. Catching up in
different sectoral
systems
Government policy has differed in the use
of tools and measures
1. Telecom ( Korea and China) - public policy
used R&D support, R&D consortia and public
research organizations to help firms to move
into new generations of telecom technologies
and products
2. In software governments have used different
policies and tools, ranging from public
procurement, to R&D support for SMEs,
favourable companies tax rates and incentives
to attract foreign direct investments
Diffrences across sectoral systems
Industry Structure
Demand and vertical
links
Gov Policies
Other elements
26. Catching up in
different sectoral
systems
Standards, regulations and norms : for
relax IP laws were important for the catch-up
of Pharmaceutical industry in India and Brazil
Finance: VC (Private equity) critical for the
development of Software industry
Diffrences across sectoral systems
Industry Structure
Demand and vertical
links
Gov Policies
Other elements
27. Catching up in
different sectoral
systems
In some sectors such as Agriculture, health
and Telecom Public research proved quite
relevant to domestic firms
In the other sectors the main role of
universities was to provide advanced training
for advanced human capital in the scientific,
engineering and managerial fields. So they
increase the absorptive capacity of the human
capital for foreign cutting edge knowledge.
Diffrences across sectoral systems
Universities & Public
Research Laboratories
30. May 8th, 2013 ESCWA Expert meeting 30
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Notes de l'éditeur
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
In As Time Goes By: From the Industrial Revolutions to the Information Revolution , a seminal work in cliometrics—the study of economic history—Chris Freeman and Francisco Louçã use historical data on technological advances, economic structure, salaries, and political unrest to derive a clear pattern linking innovation to the performance of the economy. These generational cycles of invention, expansion, and depression are called “Kondratiev waves” in honor of Nikolai Kondratiev, the Russian economist who first postulated their existence. Cliometrics was founded in 1960 as a response to the simplistic models of neoclassical economics. By combining historical facts and economic theories, cliometrics seeks to create a fuller picture of economic growth than either discipline alone can provide. Combining the quantitative field of economics with the qualitative study of history leads to conclusions that may not always fit squarely under the methods of either discipline, but nonetheless the exercise tosses up some intriguing conclusions. Here are several of them. Kondratiev waves carry transformational technologies into the market and create new industries When we think of the industrial revolution, we think of steam engines and factories, but in fact, this was only one of many industrial revolutions. Freeman and Louçã show the correlation between repeated technological revolutions and the waves of economic growth that carry them. Each of these Kondratiev waves is driven by a “carrier-branch technology,” defined as a new way of doing things so much more efficiently than the old ways that it reshapes every aspect of the economy. The five carrier-branch technologies that Freeman and Louçã identify are: Water-powered machinery Steam power Electrification The internal combustion engine Computerization Carrier-branch technologies have a core input, for example coal, or iron, or oil, or computer chips, and give rise to a whole secondary economy of supporting industries and social institutions. And each Kondratiev wave follows a similar economic pattern—the initial invention creates a period of boom, with rising material wealth, but as the technology reaches a point of saturation, the economy enters a downswing or “crisis of structural readjustment.” These upswings and downswings in the past lasted from 20 years to 30 years each, leading to a total cycle time of around 50 years. Similar patterns can be seen with the other Kondratiev waves, but I would like to focus on the one that we are most familiar with, having lived through it. Computing and information technology have driven unprecedented productivity gains in the U.S. economy and underpinned much of recent growth. The dawn of the computer era can’t be precisely pinned down; good arguments can be made for the creation of ENIAC in 1946 or the integrated circuit in 1959. But I prefer the mid-1960s, with the first standardized commercial computers, such as the IBM S/360 and DEC PDP-8. Like the steam engine it took a little while for society to recognize the value of a new transformational technology. The astounding growth in Silicon Valley since then has driven innovation around these machines, making them cheaper, more reliable, and more user friendly. The presence of computers, and especially networked computers, changed every aspect of business over the past 45 years, leading to whole new markets and products that could scarcely be dreamed of before, as well as socially transformative access to information and knowledge through computer networks. The next Kondratiev wave? Computers are rapidly approaching the point of saturation in many markets. Microprocessors are in every imaginable device, and there are over 4.6 billion cell phone users on the planet. Computer processor and memory manufacturing is a cut-throat business conducted on the slimmest of margins, and while technology keeps improving, at this point, much so-called “innovation” has become about advertising and sales, not fundamental technological breakthroughs. The dot-com bubble and recent financial crisis, which was made possible by complex computerized financial instruments, are two signs that the Kondratiev wave based off of computers may be reaching its peak, and we are now in a period of structural adjustment. Kondratiev wave theory would posit that the Great Recession cannot be blamed only on complex derivatives, bad mortgages, or greedy bankers, or government deficits, although these are all contributing factors. Rather these are signs that we have reached the limits of our present technology. Escaping it will require a new carrier-branch technology, with all that that entails. I can’t tell you what that technology will be renewable energy, an industrial revolution founded on nanotechnology and synthetic biology, completely recyclable zero-waste products that turn trash into gold, or advances in robotics and artificial intelligence. What is certain, however, is that it will be based on a fundamental breakthrough in science and technology.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.
Le plan de développement des cités de l’innovation prévoit, dans sa première phase, de lancer en 2011 la réalisation de 4 cités de l’innovation en partenariat avec les Universités . Citer les villes concernées par la première phase.