Determining the factors affecting the evaluation of business intelligence systems with an emphasis on the integrity of Organizational resources

Document Type: Original Article

Authors

1 Department of Executive Management, Science and Research Branch, Islamic Azad University, Tehran,Iran

2 Department of Technology Management, Science and Research Branch, Islamic Azad University, Tehran,Iran

Abstract

In the information age, the speed of producing and supplying valuable information is considered as one of the keys to success in the organizations and institutes.The major objective of this study was to investigate and specify the effective factors in evaluating the BI systems with an emphasis on the integrity of organizational resources. First, five factors were determined as the major factors through reviewing articles and the related books as well as using the opinion of the experts. Then, using Pareto analysis, 7 models/resources were selected as the reference among the total of 24 models/resources. The frequency of each of them was determined as 369 effective criteria using the model-criterion matrix; 40 criteria were considered as the effective criteria by using the Delphi four-step method. To rank the effective factors, TOPSIS model was used. Using Shannon entropy method, the priority of each of the factors, and their weights was respectively determined as organizational factors, project management and control, technical and technological factors, expectations and requirements management, and integration. Finally, according to the ISM , the relations of each of the effective factors were sorted in a way that the factors of integration and expectations and requirements management were placed at level 1, the technical and technological factors were placed at level 2, and the organizational factors and project management and planning with high influence power and low dependence for paying special attention to make effective changes in evaluating the business intelligence systems were placed at level3.

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Journal of Industrial Strategic Management

Volume 2, Issue 3
Summer 2017
Pages 64-82

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