Using combinational method DEMATEL and ANP with fuzzy approach to evaluate business intelligence performance

Abstract

As the effective evaluation of productivity of information systems is the important element in the success of each system, the present study evaluated business intelligence performance as the most complete information system. To do this, after the review of literature, the initial model of the study was designed by considering five main criteria including adjustment with the business needs and users, system function, providing the organization requirements and integration ability, system flexibility and integration of experiences and needs with 14 sub-criteria in accordance with Lin studies (2009), Haqiqat Monfared (2010). To evaluate the system, based on the effect and dependency of the various factors on BI performance, DEMATEL and network analysis process combination with fuzzy approach with super decision software and Excel was used. Thus, decision-making problem was considered in three levels as data structure network and by achieving the knowledge of the decision makers in the form of linguistic terms via pair-wise comparison questionnaire, the linguistic terms with their meaning were replaced in triangular fuzzy number. The results of the study can be the guidance of implementation of business intelligence that the organization based on system performance evaluation priorities allocates its resources as financial and time resources to improve the organizational goals.