Management von Kompetenzen für Personalauswahl und Teambildung

Topic
Type: 
Doctoral Thesis
Supervisor: 
Jürgen Dorn
Language: 
Deutsch
State: 
completed
Issued: 
11.01.2007
Student
First name: 
Manfred
Last name: 
Fuchs
Started: 
02.04.2005
Result
Abstract: 
An information system model is presented that enables quantification of competencies which are used to determine the suitability of candidates for a certain job, and of experts to be part of a team for risk assessments in safety critical domains. The model allows a largely objectified recruiting process due to the timely reference of competency evidences used to calculate competence levels. Qualification (in the sense of acquired knowledge) and experience are seen as the basic competence-components. The model is extended to build teams for carrying out risk assessments in an aviation context. A team can be optimised according the safety-experts competence based requirements. The type of optimisation allows building smallest possible teams by ensuring largest possible competency coverage in the team. Model relevant competence parameters are adjusted by the HR- and safety-experts. A predominant part of the research work is based on acquired experience of experts, involved in organisations with dedicated HR-Businesses and organisations with their business focus in safety critical domains. The interviews were carried out mainly with experts from the aviation domains Austrian air navigation service, airline operation and airport. Due to the involvement of experts in the design phase, holistic stakeholder perspectives are reflected in the development and evaluation of the model. Competencies in safety critical domains were used for the design of the model to focus on these particular areas. Following the implementation of the stakeholder requirements, a prototype information system is developed based on spreadsheet software which supports the evaluation phase. As a further outlook, the model can be used in competence management systems where the quantitative competence levels provide the basis for further use-cases.
Finished: 
17.06.2008