Authors:
Saeed Rouhani
1
;
Amir Ashrafi
2
and
Samira Afshari
2
Affiliations:
1
University of Tehran, Iran, Islamic Republic of
;
2
Allameh Tabataba’i University, Iran, Islamic Republic of
Keyword(s):
Business Intelligence, Evaluation Criteria, Fuzzy DEMATEL, Casual and Effect Model.
Related
Ontology
Subjects/Areas/Topics:
Advanced Applications of Fuzzy Logic
;
Artificial Intelligence
;
Artificial Intelligence and Decision Support Systems
;
Data Mining
;
Data Warehouses and OLAP
;
Databases and Information Systems Integration
;
Enterprise Information Systems
;
Group Decision Support Systems
;
Sensor Networks
;
Signal Processing
;
Soft Computing
;
Strategic Decision Support Systems
Abstract:
In response to an ever increasing competitive environment, today’s organizations intend to utilize business intelligence (BI) in order to promote their decision support. In other words, BI capabilities for enterprise systems would be essential to evaluate the enterprise systems. Hence, the key factors for evaluating intelligence-level of enterprise systems have been determined in past studies. More in this research, the causal relationships between criteria of each factor have been obtained to construct impact-relation map. To this aim, this study presents a new hybrid approach containing fuzzy set theory, and the decision making trial and evaluation laboratory (DEMATEL) method. This study considered six main factors for evaluation of BI for enterprise system include: analytical and intelligent decision-support, providing related experiment and integration with environmental information, optimization and recommended model, reasoning, enhanced decision-making tools, and stakeholders’
satisfaction; and have determined the root or cause criteria in each factor. In general, the outcomes of this study can be used as a basis for roadmap of differentiation of BI capabilities in the form of evaluation criteria. Also, it can provide an effective and useful model by separating criteria into cause group and effect group in an uncertainty environment.
(More)