Decision Support Systems Frameworks And An Improved Model For JKR Tendering

Ahmad, Fadhilah and M Saman, M Yazid and Mohamad Noor, N. M. (2007) Decision Support Systems Frameworks And An Improved Model For JKR Tendering. In: National Conference on Software Engineering and Computer Systems, 2007, Kuantan, Pahang.

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Abstract

Advances in computer and Internet technologies as well as related software applications have great impact on organisations and society. The infrastructures provided by these technologies improve many aspects of organisational activities including the process of evaluation and decision making. Decision making is one of manager’s challenging roles. Therefore, the system to support decision making which is called Decision Support System (DSS) deserve special attention by many researchers in this area. The DSS system produced should be able to assist managers especially at management control and strategic planning levels in order to make better decisions. The objective of this paper is to present an overview of DSS frameworks, the comparative strengths of them, and their identified application areas. This paper also shows how an existing framework of Information System (IS) at various organisational levels may evolve to become a generic DSS framework for individual or group decision makers (DMs) in web-based environment. Finally, a framework of an improved model for Jabatan Kerja Raya Malaysia (JKRM) Tendering is proposed using an integrated model; statistical, weight and Multicriteria Decision Making (MCDM). The system designed meant to support tendering decision making in a web based environment and is presented as a case study.

Item Type: Conference or Workshop Item (Speech)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QA Mathematics > QA76 Computer software
Faculty / Institute: Faculty of Informatics & Computing
Depositing User: PM Dr. Fadhilah Ahmad
Date Deposited: 04 Sep 2014 02:18
Last Modified: 04 Sep 2014 02:18
URI: http://erep.unisza.edu.my/id/eprint/1142

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