Msc Engineering Policy and Management of Technology Innovation and Technology Transfer Lecture 7 - Innovation Measurement Giorgio Sirilli  “Old and new.

Slides:



Advertisements
Similar presentations
OECD World Forum Statistics, Knowledge and Policy, Palermo, November
Advertisements

1st Meeting of the Working Party on International Trade in Goods and Trade in Services Statistics - September 2008 Australia's experience (so far) in.
Measuring innovation: Main definitions - Part II South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Innovation data collection: Advice from the Oslo Manual South East Asian Regional Workshop on Science, Technology and Innovation Statistics.
Measuring innovation CENTRAL ASIAN SUB-REGIONAL CONSULTATION MEETING ON SCIENCE, TECHNOLOGY AND INNOVATION (STI) STATISTICS AND INDICATORS Tashkent, Uzbekistan.
Measuring innovation South Asian Regional Workshop on Science, Technology and Innovation Statistics Kathmandu, Nepal 6-9 December 2010.
School/Centre: Reflecting on the effectiveness of Self-Evaluation Resource The levels on the board are as in How Good Is Our school? Above the board, type.
Measuring Research and Innovation in Cuban Universities Concepción Díaz Mayans, PhD. Walfredo González Rodríguez, MSc. Ministry of Higher Education.
1 NEST New and emerging science and technology EUROPEAN COMMISSION - 6th Framework programme : Anticipating Scientific and Technological Needs.
Innovation, Intellectual Property, and Economic Growth Lecture outline: Overview of course Introduction to innovation Definitions Nature of innovation.
Regions as the driving forces of European competitiveness: From theory to practice Interregional Seminar and Partnership Fair Enhancing university-business.
“Steering and Funding – The Governance of science systems” Sources Based ont the reports of the Ad Hoc Working Group Steering and Funding of Research Institutions.
European Social Fund Evaluation in Italy Stefano Volpi Roma, 03 maggio 2011 Isfol Esf Evaluation Unit Human Resources Policies Evaluation Area Rome, Corso.
Pespectives for Engineering and Technology in Portugal” Lisbon, 22 November 1999 Giorgio Sirilli Institute for Studies on Scientific Research and Documentation.
Introduction to the Oslo Manual: main definitions (Part II) Introduction to the Oslo Manual: main definitions (Part II) ECO - UIS Regional.
® ® Global Advisory Council (GAC) Outreach overview, Jan 2011 Mark Reichardt, President and CEO Open Geospatial Consortium © 2011 Open Geospatial Consortium.
The Technopolis Group Paul Simmonds Director. Introduction Private limited company Founded in 1989 A spinoff from SPRU (University of Sussex) In 2012,
Ana Maria Oliveira Vanessa Figueiredo Out Old and New Paradigms in the Measurement of R&D Science, Technology & Innovation Policy 1.
1 Production and use of S&T&I Statistics and Indicators in Republic of Macedonia State Statistical Office Ministry of Education and Science October 2008,
1 Improving the current innovation measurement approach to address inclusive development Seminar on impact of innovation on inclusive development Godfrey.
Innovation Measurement
1 Problems of measurement and analysis in the national accounts under rapidly growing globalization. Soli Peleg Central Bureau of Statistics, Israel.
1 “European Innovation Scoreboard (2002) “European Innovation Scoreboard (2002)” Master in Eng. and Technology Management Science, Technology and Innovation.
TAFTIE Policy Forum „Measuring innovation” New trends and challenges in innovation measurement Fred Gault UNU-MERIT.
Department of Science and Technology The Department of Science and Technology (DOST) is the premiere science and technology body in the country. Providing.
The measurement of Innovation An historical perspective The “Frascati Manual” and the “Oslo Manual” S&T indicators Innovation indicators Some evidence.
INTERNATIONAL CENTRE FOR SCIENTIFIC AND TECHNICAL INFORMATION (ICSTI) BUSINESS SUPPORTING ACTIVITIES AND PROJECTS.
Understanding user needs challenges and solutions Dr James Tucker, National Statistician’s Office, United Kingdom.
Proposal Writing.
Existing Frameworks: UNESCO Integration in stages The introduction and use of ICT in education proceeds in broad stages that may be conceived as a continuum.
Universities and Firms: A Comparative Analysis of the Interactions Between Market Process, Organizational Strategies and Governance Seminar, September.
MEADOW: Guidelines for a European survey of organisations Nathalie Greenan CEE and TEPP-CNRS Exploring possibilities for the development of European data.
INNOVATION AND ECONOMIC PERFORMANCE: AN ANALYSIS AT THE FIRM LEVEL IN LUXEMBOURG Vincent Dautel CEPS/INSTEAD Seminar “Firm Level innovation and the CIS.
Working Group on Innovation Indicators and Inclusive Innovation Víctor G. Carreón Rodríguez National Council of Science and Technology Mexico.
United Nations Statistics Division
Review of recent studies on PSI re-use and related markets in the EU Estimating the market value of PSI Graham Vickery Information Economics Open Government.
Carmela Pascucci – Istat - Italy Meeting of the Working Party on International Trade in Goods and Trade in Services Statistics (WPTGS) Linking business.
SRS Data and the SciSIP Initiative National Science Foundation Division of Science Resources Statistics Lynda T. Carlson Division Director SBE Advisory.
Tech-Connected Teacher (TC*Teacher)
Margaret J. Cox King’s College London
THEORIES OF TECHNOLOGICAL CHANGE Definitions and Concepts.
Communication Degree Program Outcomes
The measurement of innovation Advanced Workshop “Science, Technology and Society” Lisbon, 24 November 1999 The measurement of innovation Giorgio Sirilli.
Ways for Improvement of Validity of Qualifications PHARE TVET RO2006/ Training and Advice for Further Development of the TVET.
International Sourcing Moving Business Functions abroad Peter Bøegh Nielsen Statistics Denmark.
Paris Project Meeting January 2012 Item – Statistics Objective 5 B. Proia With financial support from Criminal Justice Programme 2008 European Commission.
A new start for the Lisbon Strategy Knowledge and innovation for growth.
1 NEST New and emerging science and technology EUROPEAN COMMISSION - 6th Framework programme : Anticipating Scientific and Technological Needs.
Measuring Inbound Diffusion from Publicly Funded Research Organizations to Innovative Firms: A Statistical Perspective Frances Anderson Science, Innovation.
Identification of national S&T priority areas with respect to the promotion of innovation and economic growth: the case of Russia Alexander Sokolov State.
Innovation potential of the CR Pavel Švejda International ICSTI conference, Alexandria Motto: Science makes knowledge out of money, innovations.
EUROPEAN SOCIAL FUND EQUAL - The European Perspective EQUAL Initiative EQUAL The European Perspective Dublin - 25 September 2003 Ian Livingstone European.
Innovation and Economic Infrastructures DIMETICS Pecs July Keith Smith Australian Innovation Research Centre.
Mysoltani.ir سایت فیلم روشهای مشارکتی Technology Foresight Foresight is about preparing for the future. It is about deploying resources in the best.
1 Direction scientifique Networks of Excellence objectives  Reinforce or strengthen scientific and technological excellence on a given research topic.
UK INNOVATION SURVEY 2005 CIS4 – Introduction and Guide A brief introduction to the survey Some description of the data and analytical results, special.
Session Objectives Analyze the key components and process of PBL Evaluate the potential benefits and limitations of using PBL Prepare a draft plan for.
The non-trivial choice among innovation indicators by Alfred Kleinknecht, Professor, Economics of Innovation, TU Delft & Visiting Professor, Université.
KNOWLEDGE ECONOMY FORUM VI Technology Acquisition and Knowledge Networks Cambridge, England. April 17-19, 2007 Panel 2A April 19, 2007 Standards and Quality.
Second International Seville Seminar on Future-Oriented Technology Analysis (FTA): Impacts on policy and decision making 28th- 29th September 2006 The.
Technology Needs Assessments under GEF Enabling Activities “Top Ups” UNFCCC/UNDP Expert Meeting on Methodologies for Technology Needs Assessments
© Imperial College LondonPage 1 Future of the UK Innovation Survey An Innovation Management Researcher’s Perspective Ammon Salter Innovation Studies Centre.
How to measure the impact of R&D on SD ? Laurence Esterle, MD, PhD Cermes and Ifris France Cyprus, 16 – 17 October L. ESTERLE Linking science and.
CHALLENGES RELATED TO THE IMPLEMENTATION OF 2008 SNA.
Danish Centre for Studies in Research and Research Analysis Knowledge Economy – Challenges for Measurement Luxembourg, December 8-9, 2005 Innovation measurement:
Introduction to Management of Technology (MOT) Chapter 1.
HSE Institute for Statistical Studies and Economics of Knowledge Visibility of Russian Science: Academia, Society, Media Prof. Leonid Gokhberg First Vice-Rector.
NIFU STEP studies in Innovation, Research and Education Peer review of impact? Options and challenges Liv Langfeldt RCN 14 April 2008.
CompSci 280 S Introduction to Software Development
ABCPhD Doctoral Program in architecture, built environment and construction engineering ABCPhD Call4Scholarship 34 RESEARCH TOPIC: Automation, Robotics.
Presentation transcript:

Msc Engineering Policy and Management of Technology Innovation and Technology Transfer Lecture 7 - Innovation Measurement Giorgio Sirilli  “Old and new paradigms in the measurement of R&D”, 1998  “Science ans Technology Indicators, The state of the Art and prospects for the future”, 1997 by Rodrigo Rodrigues

TOPICS 1)Introduction - Nature of Indicators 2)Science and Technology Indicators 3)Prospects for future developments 4)Case Study – Measurement of R&D

Introduction - Nature of Indicators Science and Technology (S&T) Indicators  Definition: series of data that can answer several questions about S&T enterprise, like assess a qualitative performance of S&T tool to science policy at a national level  Goal: give a picture of the state of S&T and anticipate the consequences of scientific advances and technological change

Introduction - Nature of Indicators Indicators can be divided into 2 groups:  1 st group-indicators for which a statistical methodology has been developed - data are collected - and analysed by a standardised methodology  2 nd group-indicators for which methodology are still in a development stage - no possibility of comparison across countries and over time

S&T Indicators – 1 st group Research and development (R&D) - Expenditures and personnel for R&D - 1 st indicators and the majors - OECD in 1963 adopted the Frascati Manual - main features:. data are reliable. data are comparable over time and across countries. not clear if R&D covers information technology related with innovative activities like software. etc

S&T Indicators – 1 st group Patent statistics - the most widely available indicator of output of technological activities - more detailed in terms of technology and cover longer periods than data on R&D - patents reveal inventive activities extending outside the research labs - OECD in 1994 adopted the Patent Manual - problems:. patenting an invention vary from country to country. the “quality” and “value” of patents varies greatly

S&T Indicators – 1 st group Surveys of technological innovation - one of the main development factors in our societyacquisition of tools and control it is a priority in S&T policy - data gathering follows two approaches:. identify the most significant innovations and then send questionnaires to the firms that have introduced them (individual innovations). submit questionnaires to the firms that have introduced innovations during a given period of time (innovating firms) - data show that R&D represents only a limited part of the innovation expenditures

S&T Indicators – 1 st group Surveys of technological innovation - CIS - OECD revised the Oslo Manual in 1996 – inclusion of services - and one of the most important survey is the Community Innovation Survey (CIS), which was designed to address two main sets of issues:. general structure of innovation processes. comparison between European countries - Some aspects from the CIS1:. no possible comparison between countries with the data collected. obtain the main factors that influence the innovation behaviour of firms

S&T Indicators – 1 st group The technological balance of payments (TBP) - flow of funds for transactions concerning industrial property rights – indicator of technology transfer across countries - OECD in 1990 adopted Manual for the collection and publication of TBP data - main features. indicator of the diffusion of technology or competitiveness. the range covered by the technological balances is not uniform. international comparability of the TBP indicator is also limited. etc

S&T Indicators – 1 st group Analysis of international trade in high-technology products - problem is to distinguish the high, medium and low technology products - “high-tech”: when ratio between R&D expenses and turnover or value added is above a certain threshold - limitations:. research intensity and technological intensity not equivalent concepts. statistical data not uniform. the choice of threshold values is arbitrary. technological intensity can vary greatly within one group of products

S&T Indicators – 1 st group Bibliometrics - based on the number of publications, citations and co-citations - main problems. propensity to publish and cite varies with disciplines. citations may be critical rather than positive (but always knowledge). probability of being cited varies with the sector. number of citations not follow a linear rate in course of time. papers only one output of lab-based activity

S&T Indicators – 1 st group Human resources - key factor for the production and distribution of knowledge - OECD in 1994 adopted the Canberra Manual - limitation of the Manual:. only covers individuals with higher-level skills. data not comparable (different national systems of education) - example of data bases: social security

S&T Indicators – 2 nd group Indicators based on information of technical journals - analysis of information about innovations reported in technical and trade journals - in the journal: brief desription of the new product ou service and the address and phone number of the firm - advantages:. in principle all sectors of the economy are covered - limitations. only refers products or services, not processes. not internationally comparable

S&T Indicators – 2 nd group Intangible investment - costs of intangible products that become available in the period under review and that remain in use for more than one year - core components are:. R&D. education and training;. software and marketing - not internationally comparable because of heterogeneity in definitions and data collection procedures

S&T Indicators – 2 nd group Surveys of manufacturing technologies - innovation and the application on new technologies have moved into the centre of firm strategies - use of surveys to measure:. objectives and barriers to the introduction of the technologies. their diffusion and the impact of their introduction in the firm. public policies toward the adoption of the technologies - but surveys are still uncoordinated, without a harmonisation of concepts and procedures

S&T Indicators – 2 nd group Indicators in the field of information and communication technologies - information technology is changing the very nature of work and society - building indicators in this area is quite necessary - the major problems identified by statisticians refer to:. the very definition of information and communication technologies. the classification of sectors and activities ti be surveyed. the products and services to be covered

S&T Indicators – 2 nd group Measurement of organisational change in enterprises - the changes in the organisation of firms and in the institutional context determine the effectiveness and impact of the adoption of new technologies - this changes can be in:. the strategy or the structure. the work-place organisation or the human resource management - goal is to obtain measurement for qualitative phenomena like organisation and strategy, and their linkage with performance and structure variables

S&T Indicators – 2 nd group Technology foresight - the main objective is to identify potentially important technologies early enough to facilitate their development and utilisation - the methodology used for the technology foresight must involved a large number of experts to acquire the necessary information and an adequate variety of options - limitations:. procedure is very expensive. different mix of methodologies has been used in various countries. foresight may lead firms to not considered some interesting technologies

S&T Indicators – 2 nd group Public attitudes and public understanding of S&T - allow to add a social dimension to the S&T process - typical question is: What is the citizens´view about scientific developments, scientific programmes or current problems requiring research efforts ?

Prospects for future developments  develop theories to explain the working of complex systems, but also amenable to statistical measurement  OECD is expected to continue to act as a stimulus and “clearing house” for the activities of the member countries  weight of the databases constructed using information collected for administrative purposes (patents, scientific publications, etc) will likely to be greater than that of ad hoc surveys (R&D, innovations, etc)

Prospects for future developments  methodologies developed within OECD countries become standard, so data may be compared across almost all countries of the world  one challenge for those who are in charge of providing indicators is linked to the timing of indicators building  S&T indicators are in a period of rapid evolution, so that will allow us to understand better the complex phenomena of knowledge creation and distribution

Case Study – Measurement of R&D ITALY: 1985 and R&D survey carried by national statistical agencies - Innovation surveys carried by ISTAT – Italian National Statistical Institute – and occurred in the 1980s and early 1990s:. the collection of innovation data on the basis of the methodology set out in the Oslo Manual. the studies on the knowledge-based economy

Case Study – Measurement of R&D ITALY: 1985 and 1992 From the collection of innovation data we conclude that the number of R&D-performing firms is higher than that emerging from the R&D surveys. R&D survey Innovation survey R&D-performing firms(number)

Case Study – Measurement of R&D ITALY: 1985 and 1992 The reasons for different results are linked to the fact that the same phenomena is measured from two different angles, so the highest value obtained in the innovation survey can be result of: - small and discontinuous R&D activities are included - the statistical universe is more dynamic due to the discontinuous character of innovation in firms - the definition of R&D is interpreted in an innovation context

Case Study – Measurement of R&D ITALY: 1985 and 1992 From the studies on the generation and distribution knowledge we conclude that the concept of full-time equivalent for measuring the quantity and quality of work done by professionals engaged in R&D is less and less tenable. The cause is that some of the professional personnel devote their time to various activities, including research, teaching, consulting and administration.