Prof. Sladjana Cabrilo, Ph.D. University EDUCONS, Novi Sad, SERBIA - - PowerPoint PPT Presentation

Vienna, 29th February 2012

• Prof. Sladjana Cabrilo, Ph.D.

University EDUCONS, Novi Sad, SERBIA Member of the New Club of Paris sladjana.cabrilo@educons.edu.rs sladjanacabrilo@gmail.com

• 1. Short report on the NCP Round Table in Serbia
• 2. Analysis on Serbia as a knowledge economy

› Wide-rage analysis of IC within different industrial sectors in Serbia › WB’s approach and measures for KE in Serbia

• 3. IC-based innovation gap assessment as a support

tool for innovation strategies/policies (Case of Serbia)

• 4. How knowledge society could be developed in the

Danube Region › WB’s measures for KE in the Danube countries › Reccommendations for the future development

15th September, 2011 Novi Sad - Serbia

• rganised by

University Educons

in partnership with

The New Club of Paris

 The current European Danube Region Strategy

defines 11 priorities, in which Serbia is engaged in:

• Priority 1b: Improving mobility
• Priority 7: Developing Knowledge Society, through

science, education, ICT, etc.

Panels:

• 1. Knowledge society for all
• 2. Innovation strategies/policies for innovation driven

economies and knowledge based societies

• 3. Education, innovation, science/research and ICT -

the key drivers for knowledge economies/ societies

NCP TEAM SERBIAN TEAM

• Prof. Leif Edvinsson, The President of The NCP

(distance video presentation) Vuk Dapčević, Government of the Republic of Serbia, Danube Strategy Coordinator

• Dr. Erhard Busek, Chairman of the Institute for

Danube Region and Central Europe, Coordinator

• f SECI, Austria

Branka Bilen-Katić, MSc, Intellectual Property Office, Assistant Director of the Department for Information Services

• Prof. Günter Koch, PhD, General Secretary of

The NCP Nebojša Vasiljević, MSc, Assistant Minister for Information Society Bror Salmelin, European Commission, Policy Advisor to the Director ICT addressing societal challanges

• Prof. Đuro Kutlača, PhD, „Mihajlo Pupin“ Institute,

Science and Technology policy Research Centre

• Prof. Ahmed Bounfour, PhD, European Chair on

Intellectual Capital Management, Vice President of The NCP, Paris, France

• prof. Radovan Pejanović, PhD, Vice Rector of the

University of Novi Sad, Serbia Jean-Eric Aubert, International Consultant, World Bank, France Miodrag Milovanović, PhD, Assistant Director General, Institute „Jaroslav Černi“, Serbia

• Prof. Ante Pulić, PhD, University of Zagreb;

Karmen Jelčić, CEO- Centre for intellectual capital, Zagreb, Croatia

• Prof. Prvoslav Marjanović, PhD, University

Educons, Serbia

• Prof. Sladjana Cabrilo, University Educons (Serbia), Member of the NCP

PARTICIPANTS IN THE NCP ROUND TABLE Novi Sad - Serbia

Serbia The Danube Region

Identification of the pre-requisites for moving Serbia towards a Knowledge Society Identification of the major barriers (countries have little knowledge about each other, brain-drain) Progress in developing policy documents which support transition of R&D system in Serbia toward the National Innovation System (NIS) Integration and Cooperation is crucial (cross-border integration) – Knowledge transfer Identification of barriers for the future development (immense brain-drain, thinking in hierarchies, the linear model

• f innovation process

Integration of education policies, targeted education and research Identification of further abilities to be build upon (a good potential of “doing it yourself, improvisation, high cultural competence, multiculturality, skepticism) Identification of future focus in science & research (joint projects, joint research centres, alliances and joint degrees, bankable and pragmatic science and research projects, "scientific identity" of the Danube area, Danube knowledge region, etc.)

Open innovation

Intellectua ellectual l capit ital

Collaboration

Knowledge assessment methodology (KAM) -WBI

 4 Knowledge Economy (KE) pillars: 1.

Economic Incentive and Institutional Regime,

2.

Education,

3.

Innovation,

4.

Information and Communications Technologies (ICT).

 The Knowledge Economy Index (KEI) represents the

• verall level of development of a country or region

towards the Knowledge Economy.

 Knowledge Index (KI) measures a country's ability to

generate, adopt and diffuse knowledge. This is an indication of overall potential of knowledge development in a given country.

Index Serbia (2009) Serbia (2000) Serbia (1995)

1.Knowledge economy index- KEI 5.74 4.80 4.26

• 2. Knowledge index – KI

6.32 6.00 6.67

• 3. Economic Incentive and

Institutional Regime 4.01 1.21 1.04

• 4. Education and Human Resources

5.83 7.16 5.33

• 5. The Innovation System

6.15 4.69 7.79

• 6. ICT

6.99 6.16 6.88

Source: http://www.worldbank.org/kam

1. In the knowledge era, innovation strategies should be largely based on the assessment of IC. 2. IC-based innovation gap assessment connects innovation and IC concepts using IC measuring for a more comprehensive assessment of innovation performance. 3. This approach might complement existing innovation scorecards taking into account knowledge and IC issues. 4. It might enable countries/regions/cities/organizations (macro and micro level) to create effective innovation strategies/ policies which would exploit IC making it to be the stimulus of innovation (near- to- complete innovation strategy).

The major goal is to disclose the current potential in HC, SC and RC, and comparing this against an innovation goal scenario to identify IC-based innovation gaps. These innovation gaps would indicate the priorities of an innovation strategy from the perspective of IC.

Human Capital Structural Capital Relational Capital

Intellectual capital

HC VD SC VD RC VD IC value drivers

Innovation Gap Assessment INNOVATION STRATEGY

Identification

• f IC value drivers

Analysis Assessment

1. to analyze IC (IC survey) 2. to assess value drivers of IC (IC value drivers)

• value drivers of Human Capital (HC value drivers)
• value drivers of Structural Capital (SC value drivers)
• value

drivers

• f

Relational Capital (RC value drivers) 3. to assess innovation gaps related to IC value drivers 4. to define effective innovation strategies based on identified innovation gaps

PURPOSE

• to

scrutinize

• rganizational

IC within different industries in Serbia in order to facilitate a process of big change (priorities in national innovation strategy) with an assessment resulting in a national IC- and innovation report. OBJECTIVES

• to assess the impact of defined IC value drivers on business success

in Serbian companies (strategic importance of IC value drivers),

• to identify the key IC value drivers,
• to disclose strengths and weaknesses of IC in Serbian companies,
• to identify INNOVATION GAPS related to IC value drivers (well

performed and under-performed IC value drivers

• to identify the most crucial gaps for innovation in Serbia
• to define priorities in national innovation strategy from the perspective
• f IC (holistic and near-to-complete innovation and change strategy).

 32 IC value drivers (12 HC, 10 SC, 10 RC) were

selected and determined by a group of questions

 IC questionnaire consisted of 87 questions (70

Lykert-type and 17 factual and categorized questions). SAMPLE:

 642 top- and medium-level managers  from 80 the most successful Serbian companies  diverse with regard to ownership

structure, number of employees, industry, and geographic location.

INDUSTRY

• No. of

respondents % sample

Utility services

116 18.1

Industry

109 17.0

Mining and energy

94 14.6

Services

79 12.3

Media

55 8.6

Telecommunications & IT

51 7.9

Banking

50 7.8

Insurance

35 5.5

Education

32 5.0

Chemistry and pharmacy

16 2.5

Agriculture

4 0.6

Traffic

1 0.1

TOTAL

642 100 %

Industry breakdown of the survey sample

HC value drivers SC value drivers RC value drivers

Utility services Industry Mining & Energy Banking Media Telecom & IT Services

Efficiency

X X X X X X X

Experience

X X X X X X X

Motivation

X X X X X X X

Strategic alignment Managerial and leadership competence Expertise

X X

Education and knowledge- sharing

X

Innovativeness Social skills

Utility services Industry Mining & Energy Banking Media Telecom & IT Services Corporate culture

X

Process innovation

X X

ICT

X X X X X

Employees’ commun. and interaction

X X X X X X

Product innovation Process management

X X X X

Brands and trade marks Data bases

X

R&D Technology for knowledge transfer and acquision

Utility services Industry Mining & Energy Banking Media Telecom & IT Services Customer relationship

X X X X X X X

Relationship with local community

X

Relationship with media Supplier relationship

X X

Relationship with banks and financial Institutions Perceived image

X X X X

Relationship with shareholders and investors Social involvement Relationship with competitors Acquisition of external knowledge

0.0 10.0 20.0 30.0 40.0 50.0 60.0 70.0 80.0 90.0 100.0 86.3 79.7 73.6 55.5 49.4 48.6 40.6 36.0 24.6 13.7 20.3 26.4 44.5 50.6 51.4 59.4 64.0 75.4

Serbia: HC value drivers & Innovation GAPS

GAP in social skills

10 20 30 40 50 60 70 80 90 100

67 61 58 47 35 30 27 24 19 17 33 39 42 53 65 70 73 76 81 83

Serbia - SC Value drivers & Innovation GAPS

10 20 30 40 50 60 70 80 90 100 92 55 49 39 38 31 24 22 20 20 8 45 51 61 62 69 76 78 80 80

Serbia - RC value drivers & Innovation GAPS

 increase awareness of the importance of innovation  to increase public and private investments in R&D  to promote competitive and innovative industries in order to

increase innovation capacity

 to strengthen the links between education, science, and

economy in order to improve knowledge, technology and innovation transfer

 to improve human capital, the driving force of innovation by

raising quantity of schooling and quality of education, skills development and training

 to promote the transfer of know-how through scientific and

technological parks, future centers, innovation incubators

Rank 2009 Country KEI KI Economic Incentive Innovation Education ICT 12 +3 Germany 8.96 8.92 9.06 8.94 8.36 9.47 15

• 5

Austria 8.91 8.78 9.31 9.00 8.48 8.85 25 +1 Slovenia 8.15 8.17 8.10 8.31 8.31 7.88 27 +3 Hungary 8.00 7.88 8.35 8.21 7.73 7.70 28 +4 Czech R. 7.97 7.90 8.17 7.78 8.23 7.70 36 +3 Slovak R. 7.47 7.37 7.78 6.89 7.26 7.95 40 +4 Croatia 7.28 7.28 7.26 7.67 6.56 7.62 43 +8 Bulgaria 6.99 6.94 7.14 6.43 7.65 6.74 47 +13 Romania 6.43 6.25 6.98 5.74 6.47 6.55 51 +4 Ukraine 6.00 6.58 4.27 5.83 8.15 5.77 53 +20 Serbia 5.74 6.32 4.01 6.15 5.83 6.99 71

• 2

Moldova 5.07 5.30 4.38 4.79 6.05 5.08 79 +7 Bosnia & H 4.58 4.68 4.26 3.11 5.70 5.24

Germany GE Czech Republic CZ Romania RO Austria AT Slovak Republic SK Ukraine UA Slovenia SI Croatia HR Serbia RS Hungary HU Bulgaria BG Moldova MD

HU RO UA RS CZ HR BG SI AT GE BIH MD HU SK

Knowledge assessment

Innovation SERBIA 4.69 (2000) 6.15 (2009)

Country Innovation (2009) Innovation (2000) Austria 9.00 8.82 Germany 8.94 9.08 Slovenia 8.31 8.20 Hungary 8.21 8.04 Czech Republic 7.78 7.51 Slovak Republic 6.89 7.09 Croatia 7.67 7.64 Bulgaria 6.43 5.77 Romania 5.74 5.24 Ukraine 5.83 6.35 Serbia 6.15 4.69 Moldova 4.79 4.39 Bosnia and Herzegovina 3.11 3.28

Increase Decrease

Source: Innovation Union Scorecard 2010

CROATIA AND SERBIA growth in innovation performance 3.5% - 4%, well above the EU27 average (in the last five years)

Education SERBIA 5.83 (2009) 7.16 (2000) Education UKRAINE 8.15 (2009) 8.19 (2000)

SERBIA 4.01 (2009) 1.21 (2000)

The river Danube has to connect not to divide!

 FUTURE FOCUS in Science and Research

• INTEGRATION AND COOPERATION is crucial for the Region!
• Cross-border cooperation and integration;
• Integration of education policies;
• Joint research and innovation projects with private/public sector;
• Joint international research centre
• Integration of the economics of research
• Targeted education and research;
• Bankable and pragmatic science and research projects;
• Universities shall build alliances and give joint degrees e.g. on “grand issues”

such as ecological topics (e.g. Educons – ACEU – Green MBA)

• Danube knowledge region / “Spike Region”
• to develop "scientific identity" of the Danube area
• to strengthen the capacities of research infrastructure in the Region
• to start projects and prototypes fitting to the greater idea of a Danube

Knowledge Region bottom up asap.

We should use an inexhaustible source of wealth – human mind, in order to transform Danube region into a knowledge region, making it a better place to live and work.