Computing with competencies: Modelling organizational capacities
► We review the current state of competency models and the needs for more complex competency schemas. ► We present a general model for expressing competencies and how it is expressed in the form of an ontology. ► We describe how that model can be used for different tasks involving computation and in...
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| Published in | Expert systems with applications Vol. 39; no. 16; pp. 12310 - 12318 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Elsevier Ltd
15.11.2012
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| Subjects | |
| Online Access | Get full text |
| ISSN | 0957-4174 1873-6793 |
| DOI | 10.1016/j.eswa.2012.02.194 |
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| Abstract | ► We review the current state of competency models and the needs for more complex competency schemas. ► We present a general model for expressing competencies and how it is expressed in the form of an ontology. ► We describe how that model can be used for different tasks involving computation and inference with competencies.
The notion of competency provides an observable account of concrete human capacities under specific work conditions. The fact that competencies are subject to concrete kinds of measurement entails that they are subject to some extent to comparison and even in some sense, calculus. Then, competency models and databases can be used to compute competency gaps, to aggregate competencies of individuals as part of groups, and to compare capacities. However, as of today there is not a commonly agreed model or ontology for competencies, and scattered reports use different models for computing with competencies. This paper addresses how computing with competencies can be approached from a general perspective, using a flexible and extensible ontological model that can be adapted to the particularities of concrete organizations. Then, the consideration of competencies as an organizational asset is approached from the perspective of particular issues as competency gap analysis, the definition of job positions and how learning technology can be linked with competency models. The framework presented provides a technology-based baseline for organizations dealing with competency models, enabling the management of the knowledge acquisition dynamics of employees as driven by concrete and measurable accounts of organizational needs. |
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| AbstractList | The notion of competency provides an observable account of concrete human capacities under specific work conditions. The fact that competencies are subject to concrete kinds of measurement entails that they are subject to some extent to comparison and even in some sense, calculus. Then, competency models and databases can be used to compute competency gaps, to aggregate competencies of individuals as part of groups, and to compare capacities. However, as of today there is not a commonly agreed model or ontology for competencies, and scattered reports use different models for computing with competencies. This paper addresses how computing with competencies can be approached from a general perspective, using a flexible and extensible ontological model that can be adapted to the particularities of concrete organizations. Then, the consideration of competencies as an organizational asset is approached from the perspective of particular issues as competency gap analysis, the definition of job positions and how learning technology can be linked with competency models. The framework presented provides a technology-based baseline for organizations dealing with competency models, enabling the management of the knowledge acquisition dynamics of employees as driven by concrete and measurable accounts of organizational needs. ► We review the current state of competency models and the needs for more complex competency schemas. ► We present a general model for expressing competencies and how it is expressed in the form of an ontology. ► We describe how that model can be used for different tasks involving computation and inference with competencies. The notion of competency provides an observable account of concrete human capacities under specific work conditions. The fact that competencies are subject to concrete kinds of measurement entails that they are subject to some extent to comparison and even in some sense, calculus. Then, competency models and databases can be used to compute competency gaps, to aggregate competencies of individuals as part of groups, and to compare capacities. However, as of today there is not a commonly agreed model or ontology for competencies, and scattered reports use different models for computing with competencies. This paper addresses how computing with competencies can be approached from a general perspective, using a flexible and extensible ontological model that can be adapted to the particularities of concrete organizations. Then, the consideration of competencies as an organizational asset is approached from the perspective of particular issues as competency gap analysis, the definition of job positions and how learning technology can be linked with competency models. The framework presented provides a technology-based baseline for organizations dealing with competency models, enabling the management of the knowledge acquisition dynamics of employees as driven by concrete and measurable accounts of organizational needs. |
| Author | Sánchez-Alonso, Salvador García-Barriocanal, Elena Sicilia, Miguel-Angel |
| Author_xml | – sequence: 1 givenname: Elena surname: García-Barriocanal fullname: García-Barriocanal, Elena email: elena.garciab@uah.es – sequence: 2 givenname: Miguel-Angel surname: Sicilia fullname: Sicilia, Miguel-Angel email: msicilia@uah.es – sequence: 3 givenname: Salvador surname: Sánchez-Alonso fullname: Sánchez-Alonso, Salvador email: salvador.sanchez@uah.es |
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| Cites_doi | 10.1108/02632770010315742 10.1016/j.bar.2009.11.001 10.1504/IJMSO.2010.035552 10.1177/031289620202701S09 10.1108/13673270810913603 10.1111/j.1744-618X.2007.00057.x 10.1080/13678860500149951 10.1016/S0007-8506(07)60383-7 10.1007/978-3-642-17746-0_20 10.1007/978-3-7908-1787-4_1 10.1108/00330331211221828 10.1016/j.datak.2005.04.001 10.1016/j.eswa.2012.01.075 10.1016/j.ijinfomgt.2010.10.004 10.1108/13527590110411028 10.1111/j.1744-6570.2000.tb00220.x 10.1038/scientificamerican0501-34 10.1037/0735-7028.38.5.463 10.1080/10494820701343645 10.1016/j.compind.2010.05.005 10.1017/S0269888909990087 10.4018/978-1-59140-503-0.ch011 10.1016/S0191-3085(00)22009-1 10.2307/41165987 10.4018/978-1-59904-343-2.ch008 10.1007/3-540-32400-3_17 10.1016/j.eswa.2010.03.018 10.1111/j.1365-2648.2008.04774.x 10.1016/j.eswa.2008.09.031 10.1006/knac.1993.1008 10.1108/03090599910284650 10.1108/13673270810913586 10.1016/j.compind.2006.09.007 10.1504/IJMSO.2011.048018 |
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| SubjectTerms | Competencies Competency gap analysis Computation Concretes Dealing Extensibility Learning technology Mathematical analysis Mathematical models Modelling Ontologies Organizations Skills |
| Title | Computing with competencies: Modelling organizational capacities |
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