RISK ANALYSIS OF NEW PRODUCT DEVELOPMENT USING BAYESIAN NETWORKS

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RAMEZANIAN MOHAMAD RAHIM; NASIR ABOLGHASEM; ABDI ABDOLLAH

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Paper Information

Journal: New Marketing Research Journal Year:2012 | Volume:2 | Issue:1 (4) Page(s): 185-202

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Information Journal Paper

Title

RISK ANALYSIS OF NEW PRODUCT DEVELOPMENT USING BAYESIAN NETWORKS

Author(s)

RAMEZANIAN MOHAMAD RAHIM | NASIR ABOLGHASEM | ABDI ABDOLLAH | Issue Writer Certificate

Keywords

NEW PRODUCT DEVELOPMENT (NPD)Q2

RISKQ2

BAYESIAN NETWORKS (BNS)Q2

Abstract

The process of presenting new product development (NPD) to market is of great importance due to variability of competitive rules in the business world. The product development teams face a lot of pressures due to rapid growth of technology, increased RISK-taking of world markets and increasing variations in the customers` needs. However, the process of NPD is always associated with high uncertainties and complexities. To be successful in completing NPD project, existing RISKs should be identified and assessed. On the other hand, the Bayesian networks as a strong approach of decision making modeling of uncertain situations has attracted many researchers in various areas. These networks provide a decision supporting system for problems with uncertainties or probable reasoning. In this paper, the available RISK factors in product development have been first identified in an electric company and then, the Bayesian network has been utilized and their interrelationships have been modeled to evaluate the available RISK in the process. To determine the primary and conditional probabilities of the nodes, the viewpoints of experts in this area have been applied. The available RISKs in this process have been divided to High (H), Medium (M) and Low (L) groups and analyzed by the Agena RISK software. The findings derived from software output indicate that the production of the desired product has relatively high RISK. In addition, Predictive support and Diagnostic support have been performed on the model with two different scenarios.

Cites

FINANCIAL DISTRESS PREDICTION OF COMPANIES ACCEPTED IN TEHRAN STOCK EXCHANGE WITH USING OF NAIVA BAYESIAN NETWORK AND ITS COMPARISON WITH DATA ENVELOPMENT ANALYSIS

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APA: Copy

RAMEZANIAN, MOHAMAD RAHIM, NASIR, ABOLGHASEM, & ABDI, ABDOLLAH. (2012). RISK ANALYSIS OF NEW PRODUCT DEVELOPMENT USING BAYESIAN NETWORKS. NEW MARKETING RESEARCH JOURNAL, 2(1 (4)), 185-202. SID. https://sid.ir/paper/194504/en

Vancouver: Copy

RAMEZANIAN MOHAMAD RAHIM, NASIR ABOLGHASEM, ABDI ABDOLLAH. RISK ANALYSIS OF NEW PRODUCT DEVELOPMENT USING BAYESIAN NETWORKS. NEW MARKETING RESEARCH JOURNAL[Internet]. 2012;2(1 (4)):185-202. Available from: https://sid.ir/paper/194504/en

IEEE: Copy

MOHAMAD RAHIM RAMEZANIAN, ABOLGHASEM NASIR, and ABDOLLAH ABDI, “RISK ANALYSIS OF NEW PRODUCT DEVELOPMENT USING BAYESIAN NETWORKS,” NEW MARKETING RESEARCH JOURNAL, vol. 2, no. 1 (4), pp. 185–202, 2012, [Online]. Available: https://sid.ir/paper/194504/en

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