Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]

Intellectual capital is one of the most critical intangible active assets for universities, and there are multiple models to value it through the human, structural, and relational components. However, this is an open field of research that still demands new solutions to assess it effectively from ea...

Full description

Autores:
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad de Medellín
Repositorio:
Repositorio UDEM
Idioma:
spa
OAI Identifier:
oai:repository.udem.edu.co:11407/6021
Acceso en línea:
http://hdl.handle.net/11407/6021
Palabra clave:
Data fusion
Information quality
Intelectual capital
JDL model
Structural capital
Rights
License
http://purl.org/coar/access_right/c_16ec
id REPOUDEM2_c55a8de6f3a140e6cfa7b744a57ad35f
oai_identifier_str oai:repository.udem.edu.co:11407/6021
network_acronym_str REPOUDEM2
network_name_str Repositorio UDEM
repository_id_str
dc.title.none.fl_str_mv Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
title Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
spellingShingle Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
Data fusion
Information quality
Intelectual capital
JDL model
Structural capital
title_short Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
title_full Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
title_fullStr Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
title_full_unstemmed Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
title_sort Structural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]
dc.subject.spa.fl_str_mv Data fusion
Information quality
Intelectual capital
JDL model
Structural capital
topic Data fusion
Information quality
Intelectual capital
JDL model
Structural capital
description Intellectual capital is one of the most critical intangible active assets for universities, and there are multiple models to value it through the human, structural, and relational components. However, this is an open field of research that still demands new solutions to assess it effectively from each of its components. For the assessment of the structural component in higher education institutions, this study proposes a model that combines the assessment of the quality of information and the JDL data fusion model (joint directors of laboratories), which has been used in applications military. The proposed model is original in the methods used and their association, distributed in six levels that execute the pre-processing of the information, valuation of objects, valuation of the situation and the risk, and the refinement of the process. Besides, it evaluates the quality of the information, its traceability, and context to refine the process and obtain a more objective assessment taking into account the imperfection of the information for decision-making in the management of impact and risk. The model not only allows the assessment of structural capital, but also supports decision-making based on the quality of information and its impact. The functionality of the model is described by levels. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.
publishDate 2020
dc.date.accessioned.none.fl_str_mv 2021-02-05T14:58:48Z
dc.date.available.none.fl_str_mv 2021-02-05T14:58:48Z
dc.date.none.fl_str_mv 2020
dc.type.eng.fl_str_mv Article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.driver.none.fl_str_mv info:eu-repo/semantics/article
dc.identifier.issn.none.fl_str_mv 16469895
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/11407/6021
identifier_str_mv 16469895
url http://hdl.handle.net/11407/6021
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.none.fl_str_mv https://www.scopus.com/inward/record.uri?eid=2-s2.0-85083520930&partnerID=40&md5=eed5a3f7e82b0875dbb3601807ebd650
dc.relation.citationvolume.none.fl_str_mv 2020
dc.relation.citationissue.none.fl_str_mv E29
dc.relation.citationstartpage.none.fl_str_mv 465
dc.relation.citationendpage.none.fl_str_mv 478
dc.relation.references.none.fl_str_mv Becerra, M.A., Alvarez-Uribe, K.C., Peluffo-Ordoñez, D.H., Low Data Fusion Framework Oriented to Information Quality for BCI Systems (2018) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science, 10814. , Rojas I., Ortuño F, Springer, Cham
Bezhani, I., Intellectual capital reporting at UK universities (2010) Journal of Intellectual Capital, 11 (2), pp. 179-207. , https://doi.org/10.1108/14691931011039679
Bratianu, C., THE INTELLECTUAL CAPITAL OF UNIVERSITIES (2009) Annals of the University of Oradea: Economic Science, 1
Bueno, E., Ortega, P.M., Pomeda, J.R., Torre, M.Á.L.D., Gestión del Conocimiento en Universidades y Organismos Públicos de Investigación (2003) Universidad De Madrid, pp. 15-57
Bueno, E., Salmador, M.P., Longo-Somoza, M., Advances in the identification and measurement of Intellectual Capital and future developments in the Intellectual Capital research agenda: Experience of the Intellectus Model and proposal of a synthetic index (2014) Knowledge Management Research & Practice, 12 (3), pp. 339-349
Cañibano, M.L., Sanchez, P., (2008) Intellectual Capital Management and Reporting in Universities and Research Institutions Intellectual Capital Management and Reporting in Universities and Research Institutions, 1 (26), pp. 7-25
Cricelli, L., Greco, M., Grimaldi, M., Llanes Dueñas, L.P., Intellectual capital and university performance in emerging countries: Evidence from Colombian public universities (2018) Journal of Intellectual Capital, 19 (1), pp. 71-95
Ge, M., Markus, H., Dietmar, J., Information Quality Assessment: Validating Measurement (2011) In ECIA 2011 Proceedings. 19Th European Conference on Information Systems-Ict and Sustainable Service Development, Ecis2011,Helsinki,Finland
Haug, A., Haug, A., Zachariassen, F., Liempd, D., The costs of poor data quality (2011) J. Ind. Eng. Manag., 4 (2), pp. 168-193
Kianto, A., What do we really mean by dynamic intellectual capital? (2007) International Journal of Learning and Intellectual Capital, 4. , https://doi.org/10.1504/IJLIC.2007.016332
María, L.M.E., Beatriz, M.G., Henry, T.M., Alberto, B.B.M., Sebastian, C.J., Modelo de Capital intelectual para la función de investigación en las universidades colombianas (2018) Revista Opción, 34. , ISSN: 1012-1587
Mendes, P.N., Mühleisen, H., Bizer, C., (2012) Sieve: Linked Data Quality Assessment and Fusion, pp. 116-123
Helen-Tadesse, M., Karel, D., Wilfried, L., Bart, B., A multidimensional analysis of data quality for credit risk management: New insights and challenges (2013) Information & Management, 50 (1), pp. 43-58. , https://doi.org/10.1016/J.IM.2012.10.001, (jan 2013), 

Parshakov, P., Shakina, E.A., With or without CU: A comparative study of efficiency of European and Russian corporate universities (2017) Journal of Intellectual Capital, 19 (1), pp. 96-111
Ramirez-Corcoles, Y., Manzaneque-Lizano, M., The relevance of intellectual capital disclosure: Empirical evidence from Spanish universities (2015) Knowledge Management Research & Practice, 13 (1), pp. 31-44
Rogova, G.L., Bosse, E., Information quality in information fusion (2010) 2010 13Th International Conference on Information Fusion, pp. 1-8
Santos Peñalver, J.F., Tejada Ponce, Á., Ramírez Córcoles, Y., Intellectual capital in Spanish public universities: Stakeholders’ information needs (2011) Journal of Intellectual Capital, 12 (3), pp. 356-376
Secundo, G., Dumay, J., Schiuma, G., Passiante, G., Managing intellectual capital through a collective intelligence approach (2016) Journal of Intellectual Capital, 17 (2), pp. 298-319. , https://doi.org/10.1108/JIC-05-2015-0046
Steinberg, A., Bowman, C., White, F., Revisions to the JDL Data Fusion (1991) Data Fusion Lexicon by JDL (1991
Stvilia, B., Gasser, L., Twidale, M.B., Smith, L.C., A framework for information quality assessment (2007) J. Am. Soc. Inf. Sci. Technol, 58 (12), pp. 1720-1733
Torres-Narváez, M., Cruz-Velandia, I., (2014) Gestión Del Conocimiento: Experiencias De Instituciones académicas Y Hospitalarias, 12 (2), pp. 169-181
Veltri, S., Mastroleo, G., Schaffhauser-Linzatti, M., Measuring intellectual capital in the university sector using a fuzzy logic expert system (2014) Knowledge Management Research & Practice, 12 (2), pp. 175-192
Veltri, S., Silvestri, A., Direct and indirect effects of human capital on firm value: Evidence from Italian companies (2011) Journal of Human Resource Costing & Accounting, 15 (3), pp. 232-254
Wang, Y.R., Ziad, M., Lee, Y.W., (2002) Data Quality, , Kluwer Academic Publishers, Dordrecht
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_16ec
rights_invalid_str_mv http://purl.org/coar/access_right/c_16ec
dc.publisher.none.fl_str_mv Associacao Iberica de Sistemas e Tecnologias de Informacao
dc.publisher.program.spa.fl_str_mv Tronco común Ingenierías
Ingeniería de Sistemas
dc.publisher.faculty.spa.fl_str_mv Facultad de Ciencias Básicas
Facultad de Ingenierías
publisher.none.fl_str_mv Associacao Iberica de Sistemas e Tecnologias de Informacao
dc.source.none.fl_str_mv RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
institution Universidad de Medellín
repository.name.fl_str_mv Repositorio Institucional Universidad de Medellin
repository.mail.fl_str_mv repositorio@udem.edu.co
_version_ 1814159103063228416
spelling 20202021-02-05T14:58:48Z2021-02-05T14:58:48Z16469895http://hdl.handle.net/11407/6021Intellectual capital is one of the most critical intangible active assets for universities, and there are multiple models to value it through the human, structural, and relational components. However, this is an open field of research that still demands new solutions to assess it effectively from each of its components. For the assessment of the structural component in higher education institutions, this study proposes a model that combines the assessment of the quality of information and the JDL data fusion model (joint directors of laboratories), which has been used in applications military. The proposed model is original in the methods used and their association, distributed in six levels that execute the pre-processing of the information, valuation of objects, valuation of the situation and the risk, and the refinement of the process. Besides, it evaluates the quality of the information, its traceability, and context to refine the process and obtain a more objective assessment taking into account the imperfection of the information for decision-making in the management of impact and risk. The model not only allows the assessment of structural capital, but also supports decision-making based on the quality of information and its impact. The functionality of the model is described by levels. © 2020, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.spaAssociacao Iberica de Sistemas e Tecnologias de InformacaoTronco común IngenieríasIngeniería de SistemasFacultad de Ciencias BásicasFacultad de Ingenieríashttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85083520930&partnerID=40&md5=eed5a3f7e82b0875dbb3601807ebd6502020E29465478Becerra, M.A., Alvarez-Uribe, K.C., Peluffo-Ordoñez, D.H., Low Data Fusion Framework Oriented to Information Quality for BCI Systems (2018) Bioinformatics and Biomedical Engineering. IWBBIO 2018. Lecture Notes in Computer Science, 10814. , Rojas I., Ortuño F, Springer, ChamBezhani, I., Intellectual capital reporting at UK universities (2010) Journal of Intellectual Capital, 11 (2), pp. 179-207. , https://doi.org/10.1108/14691931011039679Bratianu, C., THE INTELLECTUAL CAPITAL OF UNIVERSITIES (2009) Annals of the University of Oradea: Economic Science, 1Bueno, E., Ortega, P.M., Pomeda, J.R., Torre, M.Á.L.D., Gestión del Conocimiento en Universidades y Organismos Públicos de Investigación (2003) Universidad De Madrid, pp. 15-57Bueno, E., Salmador, M.P., Longo-Somoza, M., Advances in the identification and measurement of Intellectual Capital and future developments in the Intellectual Capital research agenda: Experience of the Intellectus Model and proposal of a synthetic index (2014) Knowledge Management Research & Practice, 12 (3), pp. 339-349Cañibano, M.L., Sanchez, P., (2008) Intellectual Capital Management and Reporting in Universities and Research Institutions Intellectual Capital Management and Reporting in Universities and Research Institutions, 1 (26), pp. 7-25Cricelli, L., Greco, M., Grimaldi, M., Llanes Dueñas, L.P., Intellectual capital and university performance in emerging countries: Evidence from Colombian public universities (2018) Journal of Intellectual Capital, 19 (1), pp. 71-95Ge, M., Markus, H., Dietmar, J., Information Quality Assessment: Validating Measurement (2011) In ECIA 2011 Proceedings. 19Th European Conference on Information Systems-Ict and Sustainable Service Development, Ecis2011,Helsinki,FinlandHaug, A., Haug, A., Zachariassen, F., Liempd, D., The costs of poor data quality (2011) J. Ind. Eng. Manag., 4 (2), pp. 168-193Kianto, A., What do we really mean by dynamic intellectual capital? (2007) International Journal of Learning and Intellectual Capital, 4. , https://doi.org/10.1504/IJLIC.2007.016332María, L.M.E., Beatriz, M.G., Henry, T.M., Alberto, B.B.M., Sebastian, C.J., Modelo de Capital intelectual para la función de investigación en las universidades colombianas (2018) Revista Opción, 34. , ISSN: 1012-1587Mendes, P.N., Mühleisen, H., Bizer, C., (2012) Sieve: Linked Data Quality Assessment and Fusion, pp. 116-123Helen-Tadesse, M., Karel, D., Wilfried, L., Bart, B., A multidimensional analysis of data quality for credit risk management: New insights and challenges (2013) Information & Management, 50 (1), pp. 43-58. , https://doi.org/10.1016/J.IM.2012.10.001, (jan 2013), 
Parshakov, P., Shakina, E.A., With or without CU: A comparative study of efficiency of European and Russian corporate universities (2017) Journal of Intellectual Capital, 19 (1), pp. 96-111Ramirez-Corcoles, Y., Manzaneque-Lizano, M., The relevance of intellectual capital disclosure: Empirical evidence from Spanish universities (2015) Knowledge Management Research & Practice, 13 (1), pp. 31-44Rogova, G.L., Bosse, E., Information quality in information fusion (2010) 2010 13Th International Conference on Information Fusion, pp. 1-8Santos Peñalver, J.F., Tejada Ponce, Á., Ramírez Córcoles, Y., Intellectual capital in Spanish public universities: Stakeholders’ information needs (2011) Journal of Intellectual Capital, 12 (3), pp. 356-376Secundo, G., Dumay, J., Schiuma, G., Passiante, G., Managing intellectual capital through a collective intelligence approach (2016) Journal of Intellectual Capital, 17 (2), pp. 298-319. , https://doi.org/10.1108/JIC-05-2015-0046Steinberg, A., Bowman, C., White, F., Revisions to the JDL Data Fusion (1991) Data Fusion Lexicon by JDL (1991Stvilia, B., Gasser, L., Twidale, M.B., Smith, L.C., A framework for information quality assessment (2007) J. Am. Soc. Inf. Sci. Technol, 58 (12), pp. 1720-1733Torres-Narváez, M., Cruz-Velandia, I., (2014) Gestión Del Conocimiento: Experiencias De Instituciones académicas Y Hospitalarias, 12 (2), pp. 169-181Veltri, S., Mastroleo, G., Schaffhauser-Linzatti, M., Measuring intellectual capital in the university sector using a fuzzy logic expert system (2014) Knowledge Management Research & Practice, 12 (2), pp. 175-192Veltri, S., Silvestri, A., Direct and indirect effects of human capital on firm value: Evidence from Italian companies (2011) Journal of Human Resource Costing & Accounting, 15 (3), pp. 232-254Wang, Y.R., Ziad, M., Lee, Y.W., (2002) Data Quality, , Kluwer Academic Publishers, DordrechtRISTI - Revista Iberica de Sistemas e Tecnologias de InformacaoData fusionInformation qualityIntelectual capitalJDL modelStructural capitalStructural capital model for universities based on JDL data fusion model and information quality [Modelo de capital estructural para universidades basado en el modelo de fusión de datos JDL y la calidad de la información]Articleinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Becerra, M.A., Institución Universitaria Pascual Bravo, Medellín, 050042, Colombia, Universidad de Medellín, Medellín, 050026, ColombiaLondoño-Montoya, E., Universidad San Buenaventura, Medellín, 050010, Colombia, Universidad de Medellín, Medellín, 050026, ColombiaSerna-Guarín, L., Instituto Tecnológico Metropolitano, Medellín, 050042, ColombiaPeluffo-Ordóñez, D., Universidad Yachay Tech – SDAS Group, Urcuquí, 100115, EcuadorTobón, C., Universidad de Medellín, Medellín, 050026, ColombiaGiraldo, L., Universidad de Medellín, Medellín, 050026, Colombiahttp://purl.org/coar/access_right/c_16ecBecerra M.A.Londoño-Montoya E.Serna-Guarín L.Peluffo-Ordóñez D.Tobón C.Giraldo L.11407/6021oai:repository.udem.edu.co:11407/60212021-02-05 09:58:48.619Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co