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...
- 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
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oai:repository.udem.edu.co:11407/6021 |
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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 |
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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 |