A smart competence-based prioritisation for learning programmes

被引:0
|
作者
Gaeta, Matteo [1 ]
Marzano, Antonio [2 ]
Miranda, Sergio [2 ]
Sandkuhl, Kurt [3 ]
机构
[1] Univ Salerno, DIEM, Dipartimento Ingn Informaz Ingn Elettr & Matemat, Via Giovanni Paolo II 132, I-84084 Fisciano, SA, Italy
[2] Univ Salerno, DISUFF, Dipartimento Sci Umane Filosof & Formaz, I-84084 Fisciano, SA, Italy
[3] Univ Rostock, Chair Business Informat Syst, Inst Comp Sci, D-18059 Rostock, Germany
关键词
Competence management; human resource management; knowledge management system; ontology; learning; decision support; CULTURAL COMPETENCE; ONTOLOGY;
D O I
10.1109/INCoS.2015.61
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In public and local administration contexts, the organizational structures depend on bureaucratic aspects. This often implies that people are engaged in offices and their allocation come from emergencies and political factors instead of rational motivations related to knowledge, competences and profiles. In most cases, such situations become gangrenous and generate dissatisfaction and low productivity. The objective of our work is applying competence management, skill gap analysis and a study of the existing organizational structures to point out the functional unit with the most critical situation in terms of allocated employees and to suggest a solution according to the complex laws, internal regulation for the staff management and trade-union influences. The proposed approach identifies the real gaps that create inefficiencies and suggests the people to engage in learning programs by focusing exactly on what the organizations need with respect to what the employees have. It happens by elaborating a priority scale on the base of existing hierarchies, relationships, logistic constraints and other aspects with the aim, above all, of enhancing the identified unit and the local administration itself.
引用
收藏
页码:435 / 439
页数:5
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