PROJECT RISK MANAGEMENT FOR NEW PRODUCT DEVELOPMENT

Author(s):  
Dundusid Porananond ◽  
◽  
Natcha Thawesaengskulthai ◽  
2016 ◽  
Vol 31 (3) ◽  
pp. 418-425 ◽  
Author(s):  
Mehran Salavati ◽  
Milad Tuyserkani ◽  
Seyyede Anahita Mousavi ◽  
Nafiseh Falahi ◽  
Farshid Abdi

Purpose The principal aim of this study is to investigate the relationship between technological, marketing, organizational and commercialization risk management on new product development (NPD) performance. Design/methodology/approach Based on questionnaire, the data were collected from a sample of general automotive industry in Iran. Based on theoretical considerations, a model was proposed and descriptive statistic and hierarchical regression were used to measure the relationship between risk management factors and NPD performance. Findings Data analysis revealed that if organization can amplify their knowledge and information about risk and main factors that affect NPD process, not only can they do their work better but can also increase their ability to predict future happenings that affect performance. Research limitations/implications First, due to the relatively small sample size, caution should be exercised when interpreting the results. Second, the data were collected from automotive producer in Iran, which may restrict to some extent generalizability of the findings. Practical implications The results suggest that managers should consider more attention to risk management. If managers spread the risk management in all aspects of the NPD project, total performance will be increased and it can develop the probability of NPD success. Also organizations should perform great market research due to best commercialization. Originality/value Past researches have presented complete information about NPD process. But identifying and considering the effect of the risk management parameters that are connected to the NPD process were the main thrusts to perform the study. In this paper, based on past research about risk management of NPD, the extra aspect of process that can improve total performance of NPD has been examined.


2009 ◽  
pp. 259-269
Author(s):  
Jian-Bo Yang ◽  
Dawei Tang ◽  
Dong-Ling Xu ◽  
Kwai-Sang Chin

2016 ◽  
Vol 29 (2) ◽  
pp. 110-124 ◽  
Author(s):  
Jorge Ayala-Cruz

Purpose The purpose of this paper is to present the implementation and testing of a modified project risk management framework that integrates PMI’s framework with Monte Carlo simulation to improve the effectiveness in high-tech new product development (NPD) projects. Design/methodology/approach The modified framework considers three bodies of knowledge: project management, risk management, and Monte Carlo simulation to produce an enhance project risk management framework. Its application is shown through a case study. Findings Using the integrated framework in a recent case study project and prior NPD projects measures (as benchmarks), it was shown that it could help to enhance risk responses caused by task durations and costs’ uncertainties. The framework proved to be better than segregated generic best practices and was key in providing insight to the issue of early project risk assessment. Research limitations/implications More experimental replications are required for enhancement effectiveness assertions of the framework, through the application of the framework to similar case studies. Furthermore, this could improve its reliability and soundness. Practical implications Future directions for research could include case and empirical studies that include hypothesis’s testing, and the integration of optimization procedure for improved NPD project’s planning and execution. Originality/value This paper outlines a way to close the gap of project risks management planning in NPD’s initiatives. It was motivated by a relatively new tendency in exploring integrated frameworks to deal with complex project risks issues.


Technovation ◽  
2014 ◽  
Vol 34 (8) ◽  
pp. 441-453 ◽  
Author(s):  
Josef Oehmen ◽  
Alison Olechowski ◽  
C. Robert Kenley ◽  
Mohamed Ben-Daya

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