A model for measuring research capacity using an intellectual capital-based approach in a Colombian higher education institution 1

Transcription

1 A model for measuring research capacity using an intellectual capital-based approach in a Colombian higher education institution 1 Ing. Jenny Marcela Sánchez, PhD Consultant for the Main Research s Office Assistant professor Engineering School. National University of Colombia Carolina Rivera. MSc Consultant for the Main Research s Office 1 This paper is a result of an institutional initiative sponsored by UNAL Main Research office, and it is a component of the building research capacities program defined by the Global Development Planning of National University of Colombia Agenda 1. Background 2. Methodology 3. Conceptual frame- work 4. Model 5. Test and results

2 1- Background Knowledge Society generates challenges for Colombian Society Improve Colombia s levels of competitiveness and productivity. Colombia requires profound productive and social transformation. Colombian Universities have thus become the fundamental support for achieving such productive transformation Generating knowledge endowing added value to those goods and services which the country has opted Universities are the main actor in the NSTIS (OCyT,2008) 3,322 active research groups SCienTI platform 3,090 Universities 1,416 groups belong to private Universities 1,674 to public universties Hypothesis - Objective Hypothesis Knowledge Society Challenges for Colombian Society Can universities contribute towards developing products: goods and services having high added-value in determined economic sectors from the basis of those knowledgegenerating processes which they are advancing? What are Colombian universities capacities in terms of generating knowledge? How can Colombian universities give an account of knowledge-generating and -transmitting processes? Objective Present a model to measure research capacity of universities in Colombia using an approach based on intellectual capital to try to answer Knowledge Society challenges

3 2- Methodology Conceptual Frame Work Capacity Concepts Analysis different R&D indicators systems: National and International Feedback for the model Intellectual Capital Concepts Model for measuring research capacity using an intellectual capital-based Test the model in a Colombian higher education institution Feedback for UNAL 3- Conceptual Frame-Work HC The know-how, knowledge, abilities, values and attitudes of the people working in the university. (Roos, Roos, Edvinsson and Dragonetti, 1997; Sveiby, 2001; Jaramillo and Forero, 2001; MERITUM project, 2002). SC Refers to the infrastructure incorporating, preparing and sustaining HC. This includes the set of knowledge which is basically an organisation s property and stays there in spite of people leaving it, the organisational capacity it has regarding physical aspects used for transmitting and storing intellectual material (Edvinsson and Malone, 1997; the MERITUM project, 2002; CIC, 2003). RC The university s set of external relationships. (Roos et al., 1997; Stewart, 1997 and Brooking, 1996 cited by Tan et al (2008); Euroforum, 1998; Sánchez, Chaminade and Olea, 2000; MERITUM project, 2002). Capacities understood as being that which it is known how to do, including personnel, organisational, technological and structural capacities providing an organisation s activities with value The paradigm of generating capacities as a way of evaluating research being centred on the impact of financing R&D projects, forming scientific human capital in their social aggregates and generating new uses of knowledge (Bozeman and Dietz, 2001) HC RC SC continued interaction (Lopez et al, 2004)

4 Conceptual Frame-Work Constructing institutional capacities reflects accumulative dynamics of knowledge Based on R&D indicators systems: international EUO, OECD and RiCyT and Colombian experiences (SUE public universities performance, OCyT and CNA) Based on international EOU, Austrian, Spanish: OEU,2005, European Commission, 2006, Sánchez and Elena, and Colombian Intellectual Capital approach using on Universities - Ballesteros and Ballesteros,2004, Medina et al 2007, Rivera, 2007, Bucheli and Villaveces,2007. Evaluating research capacity is a process which, depending on the availability of information, will be applied in phases Propose a suitable alternative for measuring universities capacity regarding research through thematic areas or economic sectors. 4- Model 43 indicators, 33 research activities, 4 formation activities 6 to third mission activities

5 5- Test and Results Reporting research capacity through IC Constructing base-lines for years in the present decade Identifying UNAL s scientific profile in its set and in each of its sites, without the detriment of possibly having to descend to faculty or basic academic unit level Constructing an initial map of capacities for specific areas of knowledge from national and regional referents and break the data down according to the composition of the HEI structure Research management Feedback and learning processes Human capital Number of active researchers involved in HEI Number of active researchers / Number of full-time teachersteachers time dedicated to research Number of administrative personnel involved in research groups or research projects Number of HEI research groups classified by COLCIENCIAS Number of research group members (researchers, students) Total economic resources for research/ number of active researchers Number of undergraduate and postgraduate research assistant students Number of PhD-MSC/MA- specialisation-specialty and undergraduate students Entry rate for PhD, MSC/MA, specialisation, specialty and undergraduate programmes Number of postgraduate study-grants / Number of postgraduate students

6 Human Capital: Researchers Constructing base-lines for years in the present decade 842 research groups 577 research groups categorized by Colciencias 7286 researchers belongs to research groups 2993 Professors belong to UNAL 1828 Professors belong to research groups 4368 researchers have or have had a link with UN (as professors or students) 22% PhD 42% M Sc 368 Foreigners Professors Fuente: VRI, 2009 Structural capital (I) Number of projects presented to state financing entities discriminated by institution (COLCIENCIAS-MADR, Ministries, Banco de la Republica, etc). Approved cf non-approved Number of research projects leading to support from national and international processes for drawing up norms commissions, participating in formulating longterm programmes, public policy studies Total economic resources for research (own+public+private) discriminated by items. Total budget appropriated-executed (expenses for personnel is not included) Total economic resources destined for teachers PhD formation Economic resources awarded cf economic resources requested for financing projects Private and public sector economic resources supporting research and extension projects (value of contracts with private and public sectors) Public sector economic resources supporting research projects/ total economic resources for research Private sector economic resources supporting research projects/ total economic resources for research

7 Structural capital (II) Number of research projects. Number of Products or results generating new knowledge Technical and natural areas Human, Socials and Arts Number of products arising from a group s research activities related to forming researchers Number of products related to extending a group s research activities and their results: social appropriation of knowledge Number of articles published per institution in indexed journals Number of articles from an HEI in expanded ISI Number of citations of articles by an HEI Number of citations of articles from an HEI in ISI Number of requests for registering HEI intellectual property Structural capital: scientific production Products without registry Products are registred on SCienTI Products With points WoS Products without points Special analyst To Web of Science ISI PUBLINDEX

8 Structural capital Products Types Constructing time series for years in the present decade: articles, patents, project and so on Academic products Products by year Branch BOGOTÁ Articles, Books Products Arts Products Dissertation Products Proceedings Products Source: VRI (2009) based on ScienTI - Colciencias. Identifying UNAL s scientific profile Relational capital Number of HEI teachers in other institutions Number of teachers not belonging to HEI / visitors Number of teachers-researchers participating in networks / number of teachers-researchers Number of external recognitions, prizes and distinctions awarded for an institution s research work Number of spin-off companies Number of networks in which HEI researchers participate Number of graduate works involved with the production sector Number of intellectual property requests registered with other institutions Number of research projects discriminated by beneficiary

9 International Relational Capital based on ISI Expanded Fuente: ISI WoS Cálculos: VRI. Universidad Nacional de Colombia. Febrero de 2009 National Relational Capital ISI Expanded Articles Constructing base-lines for years in the present decade Source: VRI (2009) based on ISI WoS

10 5- Results thematic Portfolio Component Thematic areas Map of thematic areas capacities Human Capital Researchers (How many and who?) Research Groups ( How many and who?) Research Institutes Relational Capital Institutions (Who has done UN work for?) Structural Capital Academic production Research and Third Mission Projects Map of thematic areas capacities on Biodiversity and Environment 1 Número de Investigadores map of capacities for specific areas of knowledge 1

11 Research Capacities on Hydro resources Human Capital A profile of capacities for specific areas of knowledge Research capacities on Hydro Resources Structural Capital A profile of capacities for specific areas of knowledge

12 Research Capacities on Hydro Resources Structural Capital Projects 108 Research projects and 79 third mission projects BOGOTÁ MEDELLÍN PALMIRA MANIZAL LETICIA ES Proyectos Researchde Projects Investigación Proyectos 3 Misionde Projects Extensión Fuente: VRI a partir de sistema QUIPU. Diciembre 31 de 2008 A profile of capacities for specific areas of knowledge Research capacities on Biodiversity. Relational Capital A profile of capacities for specific areas of knowledge 14 Institutions have made at least 4 research projects and third-mission projects

13 Test and Results Research management: INPUTS to design S&T policy procedures were available for constructing and debugging each proposed indicator measuring HC to define policy guidelines in areas of knowledge in which they had consolidated capacities measuring RC led to strengthening formation and internationalization strategies and mobility strategy measuring RC to promote research activities Measuring SC led to obtaining policy input orientated towards consolidating the academic community in terms of strengthening production having national and international visibility. Test and Results Feedback and learning processes Intellectual Capital approach implied recognising that reporting indicators was a cyclical process. An effort to homogenise its information systems stimulated within the university for understanding the measuring process importance and scope constructing capacities for areas of knowledge becomes improved and receives feed-back in the sense that the databases for the indicators were debugged and the actors involved in the measuring process acquired abilities for suitably developing the process

14 Next step Apply the model of our thematic areas (13 areas) in order to build our portfolios Apply the model with the most important public universities TO KNOW Colombians capacities. We have 65% of the research groups Team Work Vicerrector de Investigación Rafael Molina Asesores Investigación: J. Marcela Sánchez Jorge Molano Rafael Hurtado Carlos Rodríguez Jorge Martínez Collantes Luis Colón Asesores Extensión: Edna Bonilla Lucia Bohórquez Proceso de convalidación (Oficina Nacional de Planeación) José Vidal Betancur Carlos Reverón Coordinación Proyecto Indicadores J. Marcela Sánchez Indicadores de Investigación Indicadores de extensión Equipo de trabajo Equipo de trabajo Sandra Carolina Rivera Ana Carolina Gómez Lucia Bohórquez Luz Mila Becerra Julián Toro Lina Landínez Jorge Rodríguez Claudia Luengas Nidia Rodriguez Alvaro Cuesta Estudiantes Auxiliares: Sofía Ramírez Alex Bruñez Héctor Castellanos

15 Gracias!!!!!!! -Thank