Commenced in January 2007
Paper Count: 31100
Evaluation of Risks in New Product Innovation
Abstract:In highly competitive environments, a growing number of companies must regularly launch new products speedily and successfully. A company-s success is based on the systematic, conscious product designing method which meets the market requirements and takes risks as well as resources into consideration. Research has found that developing and launching new products are inherently risky endeavors. Hence in this research, we aim at introducing a risk evaluation framework for the new product innovation process. Our framework is based on the fuzzy analytical hierarchy process (FAHP) methodology. We have applied all the stages of the framework on the risk evaluation process of a pharmaceuticals company.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1056164Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 1181
 D. Cooper and C. Chapman, Risk analysis for large projects. John Wiley&Sons, 1987.
 K. Nemeth-Erdodi, "Risk Management and Loss Optimization and Design Process of Products", Journal of Applied Sciences at Budapest Tech Hungary 5(3), 2008, pp. 105-115.
 F. T├╝ys├╝z and C. Kahraman, "Project Risk Evaluation Using a Fuzzy Analytic Hierarchy Process: An Application to Information Technology Projects", International Journal of Intelligent Systems 21, 2006, pp. 559- 584.
 T. Raz, A. Shenhar and D. Dvir, "Risk management, project success and technological uncertainty", R&D Management 32, 2002, pp. 101-109.
 D.Y. Chang, "Extent Analysis and Synthetic Decision", Optimization Techniques and Applications 1, World Scientific, 1992, Singapore, pp. 352.
 C. Kahraman, U. Cebeci and D. Ruan, "Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey", Int. Journal of Production Economics 98, 2004, pp. 171-184.
 C. Kahraman, T. Ertay and G. B├╝y├╝közkan, "A fuzzy optimization model for QFD planning process using analytic network approach", European Journal of Operational Research 171, 2006, pp. 390-411.