Title: Multi-objective model for intelligence evaluation and selection of enterprise systems

Authors: Saeed Rouhani; Ahad Zare Ravasan

Addresses: Faculty of Management, University of Tehran, Golbarg Complex, East Golbarg Ave., P.O. Box 1651849661, Narmak, Tehran, Iran ' Department of Industrial Management, Allameh Tabataba'i University, Golbarg Complex, East Golbarg Ave., P.O. Box 1651849661, Narmak, Tehran, Iran

Abstract: Most organisations still experience a lack of business intelligence (BI) in their decision-making processes when implementing enterprise systems. The current state-of-the-art in decision support takes the intelligence requirements of enterprise systems as important quality aspects into consideration, along with their functional and non-functional needs, but the literature lacks studies on the evaluation of these intelligence requirements. This paper proposes a fuzzy, multi-criteria decision-making procedure and a multi-objective programming model to evaluate and make final decisions about the selection of enterprise systems that also include the requirements of business intelligence in addition to their other goals and requirements. In order to validate the model with a real application, all phases of the approach were applied in the evaluation of the enterprise systems of a company in the oil industry. Companies can use this model to evaluate, select and implement enterprise software and systems that will provide better decision support for their organisational environment.

Keywords: enterprise systems; business intelligence; multi-objective programming; fuzzy evaluation; modelling; fuzzy logic; fuzzy MCDM; multicriteria decision making; enterprise system selection; oil industry; enterprise software.

DOI: 10.1504/IJBIS.2015.072736

International Journal of Business Information Systems, 2015 Vol.20 No.4, pp.397 - 426

Received: 03 Jun 2014
Accepted: 21 Jul 2014

Published online: 28 Oct 2015 *

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