DocumentCode :
2927464
Title :
Potential intelligent techniques in Human Resource Decision Support System (HR DSS)
Author :
Jantan, Hamidah ; Hamdan, Abdul Razak ; Othman, Zulaiha Ali
Author_Institution :
Fac. of Inf. Technol. & Quantitative Sci., UiTM, Dungun
Volume :
3
fYear :
2008
fDate :
26-28 Aug. 2008
Firstpage :
1
Lastpage :
9
Abstract :
Human resource decisions are subject to limitations, because they always depend on human knowledge, judgement and preference. Decision support applications can be used to provide fair and consistent decisions, besides to improve the effectiveness of decision making processes. An intelligent decision support system (IDSS) is developed to assist decision makers in high level phases of decision making by integrating human knowledge with modeling tools. In this paper, we described the potential to implement the IDSS in human resource management (HRM) activities. This study consists of three parts; the first part is to understand the IDSS concepts, applications and related research in human resources decision making application known as HR DSS. The second part is to identify the potential intelligent techniques that can be used in HR DSS application, and the third part is to suggest the HR DSS framework that is related to human resource decisions. Finally, the paper proposed the HR DSS framework and the potential intelligent techniques that can be used to develop the IDSS application in any phases of decision making processes.
Keywords :
decision making; decision support systems; human resource management; decision making; human resource decision support system; human resource management; intelligent decision support system; Artificial intelligence; Decision making; Decision support systems; Expert systems; Human resource management; Information science; Information technology; Intelligent systems; Resource management; Technology management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology, 2008. ITSim 2008. International Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4244-2327-9
Electronic_ISBN :
978-1-4244-2328-6
Type :
conf
DOI :
10.1109/ITSIM.2008.4632047
Filename :
4632047
Link To Document :
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