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

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

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

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

Application of analytical network process for business intelligence performance assessment

Since the effective evaluation of information systems' efficiency is a key element in the success of any system, this study assesses the business intelligence performance which is the most developed information system. Therefore, the basic model of research with five major criteria including the compliance with the business and users' requirements, system performance, fulfilling the requirements of organization and the ability to integrate, system flexibility and integrating the experiences and requirements was developed with 14 sub-criteria after investigating the research literature and background. The Analytical Network Process was applied for system evaluation according to the impact and dependency of numerous factors on BI performance. Accordingly, the decision-making issue was structured in a network at three levels and then the main data of research was collected through the pair-wise comparison questionnaire developed based on studies by Lin (2009) and Haghighat-Monfared (2010) and analyzed by Super Decision Software. The results indicate that the business intelligence system performance with the normal weight of 0.287 has the highest priority. The business requirements criterion is also put in the second priory with the importance equal to 0.252. The system flexibility criterion is put in the third priority and the ability to integrate had the lowest important. The results of this study can be as the guides and complementary to the implementation of business intelligence, thus the organization can allocate both its financial and time resources according to the priorities of system performance evaluation in order to achieve and improve the organizational objectives

Application of analytical network process for business intelligence performance assessment

Since the effective evaluation of information systems' efficiency is a key element in the success of any system, this study assesses the business intelligence performance which is the most developed information system. Therefore, the basic model of research with five major criteria including the compliance with the business and users' requirements, system performance, fulfilling the requirements of organization and the ability to integrate, system flexibility and integrating the experiences and requirements was developed with 14 sub-criteria after investigating the research literature and background. The Analytical Network Process was applied for system evaluation according to the impact and dependency of numerous factors on BI performance. Accordingly, the decision-making issue was structured in a network at three levels and then the main data of research was collected through the pair-wise comparison questionnaire developed based on studies by Lin (2009) and Haghighat-Monfared (2010) and analyzed by Super Decision Software. The results indicate that the business intelligence system performance with the normal weight of 0.287 has the highest priority. The business requirements criterion is also put in the second priory with the importance equal to 0.252. The system flexibility criterion is put in the third priority and the ability to integrate had the lowest important. The results of this study can be as the guides and complementary to the implementation of business intelligence, thus the organization can allocate both its financial and time resources according to the priorities of system performance evaluation in order to achieve and improve the organizational objectives

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

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

Application of analytical network process for business intelligence performance assessment

Since the effective evaluation of information systems' efficiency is a key element in the success of any system, this study assesses the business intelligence performance which is the most developed information system. Therefore, the basic model of research with five major criteria including the compliance with the business and users' requirements, system performance, fulfilling the requirements of organization and the ability to integrate, system flexibility and integrating the experiences and requirements was developed with 14 sub-criteria after investigating the research literature and background. The Analytical Network Process was applied for system evaluation according to the impact and dependency of numerous factors on BI performance. Accordingly, the decision-making issue was structured in a network at three levels and then the main data of research was collected through the pair-wise comparison questionnaire developed based on studies by Lin (2009) and Haghighat-Monfared (2010) and analyzed by Super Decision Software. The results indicate that the business intelligence system performance with the normal weight of 0.287 has the highest priority. The business requirements criterion is also put in the second priory with the importance equal to 0.252. The system flexibility criterion is put in the third priority and the ability to integrate had the lowest important. The results of this study can be as the guides and complementary to the implementation of business intelligence, thus the organization can allocate both its financial and time resources according to the priorities of system performance evaluation in order to achieve and improve the organizational objectives