ES

European Science Journals: EOJNSS, JAELT, more to come...

European Online Journal of Natural and Social Sciences

Application of analytical network process for business intelligence performance assessment

Fakhrieh Sadehnezhad, Mansoor Zaramnezhad, Maryam Ahmadifard

Abstract


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.


Keywords


Business intelligence systems, Analytical Network Process, fuzzy logic, fuzzy network analysis

Full Text: PDF

Refbacks

  • There are currently no refbacks.