• Elham Bagheri University of Science and Technology, Babol, Iran
  • Hamed Fazlollahtabar Damghan University, Damghan Iran
  • Minoo Talebi Ashoori University Northwest, IN, USA



Business intelligence, Pricing, Risk, Marketing data


Since product pricing is a significant decision for producers and is known as a challenging problem in today’s marketing operations, the aim of this study is to design an integrated decision support system for pricing. The emerging business environment is highly dynamic in which only companies being higher in terms of competitiveness can succeed in achieving a sustainable market. Nowadays, most companies often use complicated information systems such as business intelligence systems for effective decision making and analytics. Here, by using pricing methods the prices of products are determined on the basis of marketing data under the terms of risk so that to maximize revenue along with fulfilling customers’ demands. A case study is reported to show the effectiveness of the approach. There, we analyzed different effects of our proposed pricing models and studied the influences on the purchase behavior of the customers.


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Biografia do Autor

Elham Bagheri, University of Science and Technology, Babol, Iran

Department of Information Technology Engineering, Mazandaran University of Science and Technology, Babol, Iran 

Hamed Fazlollahtabar, Damghan University, Damghan Iran

Department of Industrial Engineering, School of Engineering, Damghan University, Damghan Iran

Minoo Talebi Ashoori, University Northwest, IN, USA

Assistant Professor of Marketing, Purdue University Northwest, IN, USA


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Como Citar

Bagheri, E., Fazlollahtabar, H., & Ashoori, M. T. (2018). PRODUCT PRICING WITH MARKETING DATA UNDER RISK USING BUSINESS INTELLIGENCE. Revista Inteligência Competitiva, 8(3), 1–14.