Agenda Background 1. Methodology 2. Conceptual frame- work 3. - - PDF document

• 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

A model for measuring research capacity using an intellectual capital-based approach in a Colombian higher education institution1

1 This paper is a result of an institutional initiative sponsored by UNAL Main Research

• ffice, and it is a component of the building

research capacities program defined by the Global Development Planning 2007 -2009 of National University of Colombia

Agenda

1.

Background

2.

Methodology

3.

Conceptual frame- work

4.

Model

5.

Test and results

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 knowledge- generating 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

2- Methodology

Conceptual Frame Work Model for measuring research capacity using an intellectual capital-based

Intellectual Capital Concepts Capacity Concepts Analysis different R&D indicators systems: National and International

Test the model in a Colombian higher education institution Feedback for the model Feedback for UNAL

3- Conceptual Frame-Work

SC Refers to the infrastructure incorporating, preparing and sustaining HC. This includes the set of knowledge which is basically an

• rganisation’s property and stays there in spite
• f 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).

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).

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)

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, 2006 - 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- 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

Human Capital: Researchers

842

research groups

577 research groups

categorized by Colciencias

Fuente: VRI, 2009

22% PhD 42% M Sc 368 Foreigners Professors 7286 researchers

belongs to research groups

4368 researchers have

• r have had a link with

UN (as professors or students)

2993 Professors

belong to UNAL

1828 Professors

belong to research groups

Constructing base-lines for years in the present decade

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 long- term 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

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

Products without registry

Structural Structural capital: capital: scientific scientific production production

Products are registred on SCienTI

Products without points Products With points Special analyst To Web of Science – ISI PUBLINDEX WoS

Structural capital Structural capital

Articles, Books Products Arts Products

Academic products

Branch BOGOTÁ

Products by year Products Types Dissertation Products Proceedings Products

Source: VRI (2009) based on ScienTI - Colciencias.

Constructing time series for years in Constructing time series for years in the present decade: articles, patents, the present decade: articles, patents, project and so on project and so on Identifying Identifying UNAL UNAL’ ’s s scientific profile 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

International International Relational Relational Capital Capital based based on

• n ISI

ISI – – Expanded Expanded

Fuente: ISI WoS 2001-2008. Cálculos: VRI. Universidad Nacional de Colombia. Febrero de 2009

National National Relational Relational Capital ISI Capital ISI – – Expanded Expanded

Articles Articles

Source: VRI (2009) based on ISI WoS 2001-2008.

Constructing base-lines for years in the present decade

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 Map of thematic areas capacities on Biodiversity and Environment Biodiversity and Environment

Número de Investigadores

1 1

map of capacities for specific areas of knowledge

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

Research Capacities on Hydro Resources Research Capacities on Hydro Resources – – Structural Capital Projects Structural Capital Projects

5 10 15 20 25 30 35 40

BOGOTÁ MEDELLÍN PALMIRA MANIZAL ES LETICIA Proyectos de Investigación 37 38 24 8 1 Proyectos de Extensión 20 38 4 16 1

108 Research projects and 79 third mission projects.

Fuente: VRI a partir de sistema QUIPU. Diciembre 31 de 2008 Research Projects 3 Mision Projects

A profile of capacities for specific areas of knowledge Research capacities on Biodiversity. Relational Capital Research capacities on Biodiversity. Relational Capital 14 Institutions have made at least 4 research projects and third-mission projects A profile of capacities for specific areas of knowledge

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

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 Team Work 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

Indicadores de extensión

Equipo de trabajo Lucia Bohórquez Luz Mila Becerra Julián Toro Jorge Rodríguez

• Coordinación Proyecto Indicadores
• J. Marcela Sánchez
• Indicadores de Investigación
• Equipo de trabajo

Sandra Carolina Rivera Ana Carolina Gómez Lina Landínez Claudia Luengas Nidia Rodriguez Alvaro Cuesta

• Estudiantes Auxiliares:

Sofía Ramírez Alex Bruñez Héctor Castellanos

Gracias!!!!!!!

• Thank you-

jmsanchezt@unal.edu.co scriverat@unal.edu.co