Risk Analysis of New Product Development Using Bayesian Networks
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 varia...
| Main Authors: | , , |
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| Format: | Article |
| Language: | fas |
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University of Isfahan
2012-06-01
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| Series: | تحقیقات بازار یابی نوین |
| Subjects: | |
| Online Access: | http://uijs.ui.ac.ir/nmrj/browse.php?a_code=A-10-260-1&slc_lang=en&sid=1 |
| _version_ | 1797717880040587264 |
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| author | MohammadRahim Ramezanian Abolghasem Nasir Abdollah Abdi |
| author_facet | MohammadRahim Ramezanian Abolghasem Nasir Abdollah Abdi |
| author_sort | MohammadRahim Ramezanian |
| collection | DOAJ |
| description | 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.. |
| first_indexed | 2024-03-12T08:42:51Z |
| format | Article |
| id | doaj.art-5a0eaaab42fa45358eb68bf890a11347 |
| institution | Directory Open Access Journal |
| issn | 2228-7744 |
| language | fas |
| last_indexed | 2024-03-12T08:42:51Z |
| publishDate | 2012-06-01 |
| publisher | University of Isfahan |
| record_format | Article |
| series | تحقیقات بازار یابی نوین |
| spelling | doaj.art-5a0eaaab42fa45358eb68bf890a113472023-09-02T16:36:43ZfasUniversity of Isfahanتحقیقات بازار یابی نوین2228-77442012-06-0121185202Risk Analysis of New Product Development Using Bayesian NetworksMohammadRahim Ramezanian0Abolghasem Nasir1Abdollah Abdi2 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..http://uijs.ui.ac.ir/nmrj/browse.php?a_code=A-10-260-1&slc_lang=en&sid=1 New Product Development (NPD) Risk Bayesian networks (BNs) |
| spellingShingle | MohammadRahim Ramezanian Abolghasem Nasir Abdollah Abdi Risk Analysis of New Product Development Using Bayesian Networks تحقیقات بازار یابی نوین New Product Development (NPD) Risk Bayesian networks (BNs) |
| title | Risk Analysis of New Product Development Using Bayesian Networks |
| title_full | Risk Analysis of New Product Development Using Bayesian Networks |
| title_fullStr | Risk Analysis of New Product Development Using Bayesian Networks |
| title_full_unstemmed | Risk Analysis of New Product Development Using Bayesian Networks |
| title_short | Risk Analysis of New Product Development Using Bayesian Networks |
| title_sort | risk analysis of new product development using bayesian networks |
| topic | New Product Development (NPD) Risk Bayesian networks (BNs) |
| url | http://uijs.ui.ac.ir/nmrj/browse.php?a_code=A-10-260-1&slc_lang=en&sid=1 |
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