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.

The purpose of conducting this research is to establish a conceptual model to improve the performance of new product development in organizations regarding variables of disruptive innovation, team vision, knowledge management, and fuzzy-front end. In this research, the structural equation modelling (SEM) is used to study the model. Also, the explanatory and confirmatory factor analysis are used to extract dimensions of fuzzy-front end and disruptive innovation variables. Research data have been gathered from 109 experts of development and research department of Iran Khodro manufacturing company. The results of research show that disruptive innovation may have very impressive effects on new product development performance. Also, team approach has direct effect on fuzzy-front end. On the other hand, knowledge management has a key role in new product development and organizations can increase the efficiency of new product development by managing their knowledge and sharing them and guarantee the organization success.

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