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 Vienna, 29 th February 2012
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
15 th September, 2011 Novi Sad - Serbia organised 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
PARTICIPANTS IN THE NCP ROUND TABLE Novi Sad - Serbia NCP TEAM SERBIAN TEAM Vuk Dapčević , Government of the Republic of Prof. Leif Edvinsson , The President of The NCP (distance video presentation) Serbia, Danube Strategy Coordinator Branka Bilen- Katić, MSc , Intellectual Property Dr. Erhard Busek , Chairman of the Institute for Danube Region and Central Europe, Coordinator Office, Assistant Director of the Department for of SECI, Austria Information Services Prof. Günter Koch , PhD, General Secretary of Nebojša Vasiljević, MSc, Assistant Minister for The NCP Information Society Prof. Đuro Kutlača, PhD, „Mihajlo Pupin“ Institute, Bror Salmelin , European Commission, Policy Advisor to the Director ICT addressing societal Science and Technology policy Research Centre challanges prof. Radovan Pejanović, PhD, Vice Rector of the Prof. Ahmed Bounfour, PhD, European Chair on Intellectual Capital Management, Vice President of University of Novi Sad, Serbia The NCP, Paris, France Miodrag Milovanović , PhD, Assistant Director Jean-Eric Aubert , International Consultant, World General , Institute „Jaroslav Černi“, Serbia Bank, France Prof. Ante Puli ć , PhD, University of Zagreb; Prof. Prvoslav Marjanović, PhD, University Karmen Jelčić , CEO- Centre for intellectual Educons, Serbia capital, Zagreb, Croatia Prof. Sladjana Cabrilo, University Educons (Serbia), Member of the NCP
Serbia The Danube Region Identification of the pre-requisites for Identification of the major barriers moving Serbia towards a Knowledge (countries have little knowledge about Society each other, brain-drain) Progress in developing policy documents Integration and Cooperation is crucial (cross-border integration) – Knowledge which support transition of R&D system in Serbia toward the National Innovation transfer System (NIS) Identification of barriers for the future Integration of education policies, development (immense brain-drain, targeted education and research thinking in hierarchies, the linear model of innovation process Identification of further abilities to be Identification of future focus in science & build upon (a good potential of “doing it research (joint projects, joint research yourself, improvisation, high cultural centres, alliances and joint degrees, competence, multiculturality, skepticism) bankable and pragmatic science and research projects, "scientific identity" of the Danube area, Danube knowledge region, etc.)
Collaboration Intellectua ellectual l capit ital Open innovation
Knowledge assessment methodology (KAM) -WBI 4 Knowledge Economy (KE) pillars: Economic Incentive and Institutional Regime, 1. Education, 2. Innovation, 3. Information and Communications Technologies (ICT). 4. The Knowledge Economy Index (KEI) represents the overall 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.
Serbia Serbia Serbia Index (2009) (2000) (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 4.01 1.21 1.04 Institutional Regime 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.
Intellectual capital Analysis Human Structural Relational Capital Capital Capital Identification of IC value drivers HC SC RC VD VD VD Assessment IC value drivers Innovation Gap Assessment INNOVATION STRATEGY
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 of 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 organizational 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 of 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 breakdown of the survey sample No. of INDUSTRY % sample respondents 116 18.1 Utility services 109 17.0 Industry 94 14.6 Mining and energy 79 12.3 Services 55 8.6 Media 51 7.9 Telecommunications & IT 50 7.8 Banking 35 5.5 Insurance 32 5.0 Education 16 2.5 Chemistry and pharmacy 4 0.6 Agriculture Traffic 1 0.1 642 100 % TOTAL
SC value drivers HC value drivers RC value drivers
Utility Mining & Telecom & Industry Banking Media Services services Energy IT 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- X sharing Innovativeness Social skills
Utility Mining & Telecom Industry Banking Media Services services Energy & IT X Corporate culture X X Process innovation X X X X X ICT Employees’ commun. X X X X X X and interaction Product innovation X X X X Process management Brands and trade marks X Data bases R&D Technology for knowledge transfer and acquision
Utility Mining & Telecom Industry Banking Media Services services Energy & IT X X X X X X X Customer relationship Relationship with local X community Relationship with media X X Supplier relationship Relationship with banks and financial Institutions X X X X Perceived image Relationship with shareholders and investors Social involvement Relationship with competitors Acquisition of external knowledge
Serbia: HC value drivers & Innovation GAPS 100.0 GAP in social skills 13.7 20.3 90.0 26.4 80.0 44.5 50.6 51.4 59.4 70.0 64.0 75.4 60.0 50.0 86.3 79.7 40.0 73.6 30.0 55.5 49.4 48.6 40.6 20.0 36.0 24.6 10.0 0.0
Serbia - SC Value drivers & Innovation GAPS 100 90 33 39 42 80 53 70 65 70 73 76 81 83 60 50 40 67 61 58 30 47 20 35 30 27 24 19 17 10 0
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