A decision-making model to choose business intelligence platforms for organizations Moghimi, Fatemeh and Zheng, Connie 2009, A decision-making model to choose business intelligence platforms for organizations, in IITA 2009 : Intelligent Technology for Ubiquitous World : Proceedings of the 3rd International Conference on Intelligent Information Technology Application, Nanchang, China, 21-22 November, IEEE Computer Society, Los Alamitos, Calif., pp. 73-77, doi: 10.1109/IITA.2009.408. Attached Files Name Description MIMEType Size Downloads zheng-decisionmakingmodel-2009.pdf Published version application/pdf 337.45KB 1206 Title A decision-making model to choose business intelligence platforms for organizations Author(s) Moghimi, Fatemeh Zheng, Connie orcid.org/0000-0001-6152-1115 Conference name Intelligent Information Technology Application. Conference (3rd : 2009 : Nanchang, China) Conference location Nanchang, China Conference dates 21-22 Nov. 2009 Title of proceedings IITA 2009 : Intelligent Technology for Ubiquitous World : Proceedings of the 3rd International Conference on Intelligent Information Technology Application, Nanchang, China, 21-22 November Editor(s) Luo, Qi Zhu, Min Publication date 2009 Conference series Intelligent Information Technology Application Symposium Start page 73 End page 77 Total pages 3 vols. Publisher IEEE Computer Society Place of publication Los Alamitos, Calif. Keyword(s) business intelligence (BI) the analytic hierarchy- process (AHP) information technology decision-making Summary In recent time, technology applications in different fields, especially Business Intelligence (BI) have been developed rapidly and considered to be one of the most significant uses of information technology with special position reserved. The application of BI systems provides organizations with a sense of superiority in the competitive environment. Despite many advantages, the companies applying such systems may also encounter problems in decision-making process because of the highly diversified interactions within the systems. Hence, the choice of a suitable BI platform is important to take the great advantage of using information technology in all organizational fields. The current research aims at addressing the problems existed in the organizational decision-making process, proposing and implementing a suitable BI platform using Iranian companies as case study. The paper attempts to present a solitary model based on studying different methods in BI platform choice and applying the chosen BI platform for different decisionmaking processes. The results from evaluating the effectiveness of subsequently implementing the model for Iranian Industrial companies are discussed. Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder. ISBN 9780769538594 Language eng DOI 10.1109/IITA.2009.408 Field of Research 150305 Human Resources Management Socio Economic Objective 910402 Management HERDC Research category E1.1 Full written paper - refereed Copyright notice ©2009, IEEE Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30032741 Document type: Conference Paper Collections: Faculty of Business and Law Deakin Business School Open Access Collection Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Wed, 16 Feb 2011, 12:49:49 EST Mon, 21 Feb 2011, 09:24:00 EST Mon, 21 Feb 2011, 09:25:09 EST Mon, 21 Feb 2011, 09:28:11 EST Thu, 24 Feb 2011, 10:23:44 EST Thu, 24 Feb 2011, 10:25:09 EST Fri, 16 Mar 2012, 18:35:54 EST Mon, 11 Aug 2014, 16:03:46 EST Tue, 06 Sep 2016, 16:27:44 EST Sat, 17 Jun 2017, 03:04:17 EST Tue, 05 Dec 2017, 10:46:51 EST Fri, 07 Sep 2018, 15:16:13 EST Filtered Full Citation counts:   Cited 0 times in TR Web of Science Cited 5 times in Scopus Search Google Scholar Access Statistics: 837 Abstract Views, 1206 File Downloads  -  Detailed Statistics Created: Wed, 16 Feb 2011, 12:49:49 EST