American Journal of Information Science and Computer Engineering
Articles Information
American Journal of Information Science and Computer Engineering, Vol.1, No.2, Jul. 2015, Pub. Date: Jul. 9, 2015
A Group Decision Support System for Collaborative Decisions within Business Intelligence Context
Pages: 84-93 Views: 919 Downloads: 658
Authors
[01] George Rigopoulos, Department of Informatics, Technological Educational Institute of Athens, Athens, Greece.
Abstract
In this work we present a web based Group Decision Support System, which can be integrated within a firm’s Business Intelligence (BI) architecture to support decisions in small collaborating teams. It is based on web technology and can be used in asynchronous mode from group members. It implements a multicriteria methodology for classification decisions where aggregation of members’ preferences is executed at parameter level. Individual preferences are aggregated by appropriate operators, and a group parameter set is produced which is used as input for the classification algorithm. NeXClass multicriteria classification algorithm is used for the classification of alternatives, initially at a training set of alternatives and later at the entire set. Group members evaluate results, and consensus as well as satisfaction metrics are calculated. In case of low acceptance level, problem parameters are redefined by group members and aggregation phase is repeated. The system has been utilized to solve real world group classification problems, integrated to Business Intelligence environment supporting mainly financial decisions. Empirical findings provide evidence that the approach is valid for decision support in numerous business environments, and the GDSS can be a valuable tool for enhancing a BI framework with advanced decision capabilities.
Keywords
Group Decision Support Systems, NeXClass Methods, Multicriteria Classification, Business Intelligence
References
[01] Bhargava, H., and D. J. Power, (2001), Decision Support Systems and Web Technologies: A Status Report. Proceedings of the 2001 Americas Conference on Information Systems, Boston, MA, August 3 - 5, 2001.
[02] Cody, W., Kreulen, J., Krishna, V. and Spangler, W. (2002), The integration of business intelligence and knowledge management. IBM Systems Journal, Vol. 41 No. 4, pp. 697-713.
[03] Herschel, R.T. and Jones, N.E., (2005), Knowledge management and business intelligence: the importance of integration. Journal of Knowledge Management, Volume 9, Number 4, pp. 45-55(11).
[04] Kimball, R. and M. Ross, (2002), The Data Warehouse Toolkit, 2nd ed., John Wiley and Sons, New York, NY.
[05] Liautaud, B. and M., Hammond, (2002), E-Business Intelligence. Turning Information into Knowledge into Profit. New York: McGraw-Hill.
[06] Mierzejewska, B., (2002), Knowledge management. Warsaw: Rzeczpospolita. Vol. 96.
[07] Olszak, C. M., (2002), The Purposes and Assumptions of Business Intelligence. In: Sroka, H. (Eds): Organizational Support Systems. Katowice: Univerity of Economics.
[08] Power, D. J., (2004), Decision Support Systems: From the Past to the Future. Proceedings of the 2004 Americas Conference on Information Systems, New York, NY, August 6-8, pp, 2025-2031.
[09] Pedersen. T. B., (2004), How Is BI Used in Industry?: Report from a Knowledge Exchange Network. In DaWaK, pp. 179–188.
[10] Rigopoulos, G., Psarras, J., Askounis, D. (2008a), An Aggregation Approach for Group Multicriteria Assignment, American Journal of Applied Sciences 5(8):952-958, 2008 (Science Publications, ISSN: 1546-9239)
[11] Rigopoulos, G., Psarras, J., Askounis, D. (2008b), Group Decision Methodology for Collaborative Multicriteria Assignment, World Applied Sciences Journal 4(1):155-163, 2008 (IDOSI Publications, ISSN:1818-4952)
[12] Rigopoulos, G., Askounis, D., Metaxiotis, K. (2010), NeXCLass: A Decision Support System for non-ordered Multicriteria Classification, International Journal of Information Technology & Decision Making, 9(1):53-79
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