Title: Decision making using document driven decision support systems

Authors: Manal Abdullah; Naela Bahurmuz; Rishaa Alnajim; Zainab Alshingiti

Addresses: Faculty of Computing and Information Technology, Department of Information Systems, King Abdulaziz University, P.O. Box 80200, (KAU) Jeddah, Saudi Arabia ORCID: 0000-0003-2660-6011 ' Faculty of Computing and Information Technology, Information Systems Department, King Abdulaziz University, P.O. Box 42808, Jeddah, Saudi Arabia ORCID: 0000-0002-0505-0758 ORCID: 0000-0002-9226-4980 ORCID: 0000-0002-0810-415X ' Faculty of Computing and Information Technology, Information Systems Department, King Abdulaziz University, P.O. Box 42808, Jeddah, Saudi Arabia ORCID: 0000-0002-0505-0758 ORCID: 0000-0002-9226-4980 ORCID: 0000-0002-0810-415X ' Faculty of Computing and Information Technology, Information Systems Department, King Abdulaziz University, P.O. Box 42808, Jeddah, Saudi Arabia ORCID: 0000-0002-0505-0758 ORCID: 0000-0002-9226-4980 ORCID: 0000-0002-0810-415X

Abstract: New innovations in the technologies have provided several opportunities to support the process of decision making by utilising decision support systems (DSS) which are one of the most important management systems in the modern environment of business. Document-driven DSS (DDDSS) is one of the most common types of DSS that assist decision-makers by facilitating the steps of extracting information and knowledge management. It searches for documents by keywords on a web page and utilises a collection of processing and recovery technologies for recovery and analysis. This paper aims to introduce a basic understanding of DDDSS and to help the researchers who interested in this field of DSS. It relies on the previous studies about document-driven DSS especially, and displayed the objectives and types of documents that it used. Then, it presented the features, and explained how it works. It mentioned also the benefits of DDDSS and showed the evolution and trend.

Keywords: DSS; decision support systems; DDDSS; document-driven decision support systems; document-driven; decision making; document analysis; document; decision process; recovery; document retrieval.

DOI: 10.1504/IJDS.2020.112145

International Journal of Data Science, 2020 Vol.5 No.2, pp.168 - 180

Received: 09 May 2020
Accepted: 20 Jul 2020

Published online: 11 Dec 2020 *

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