Cause and effect analysis of business intelligence (BI) benefits with fuzzy DEMATEL

Document Type

Journal Article

Publication Title

Knowledge Management Research and Practice


Palgrave Macmillan Ltd.


School of Business and Law / Centre for Innovative Practice




Mavi, R. K., & Standing, C. (2018). Cause and effect analysis of business intelligence (BI) benefits with fuzzy DEMATEL. Knowledge Management Research and Practice, 16(2), 245-257. Available here


Business intelligence (BI) is a process in which data collected from disparate sources inside and outside the organisation are combined in order to provide meaningful information for making better and quicker decisions. Many businesses have adopted BI technologies and have obtained significant value from its application, contributing to increased organisational productivity and competitiveness. The aim of this paper is to identify the cause and effect relationship for BI benefits. Fuzzy decision-making trial and evaluation laboratory (fuzzy DEMATEL) technique is applied to diagnose the interrelationships among BI benefits. For this purpose, 10 expert professionals participated in this research. Eighteen BI benefits in four dimensions of organisational benefits, business supplier/partner relation benefits, internal processes efficiency benefits, and customer intelligence benefits are investigated. Findings show that “improved coordination with business partners/suppliers” and “increased revenue” are the highest cause and effect benefits, respectively. This reveals that, better partnership and collaboration with upstream suppliers and downstream customers lead to revenue growth and improved competitiveness. This paper presents insights about the interrelationships among BI value in industrial organisations. The findings will help managers to focus on what causes the benefits related to BI implementation that lead to greater competitive advantage. In addition, it demonstrates that fuzzy DEMATEL is a useful managerial technique when applied to software system evaluation for identifying the critical relationships between benefits.



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