DocumentCode :
3544791
Title :
Artificial Intelligence and Successful Factors for Selecting Product Innovation Development
Author :
Klintong, Noppakorn ; Vadhanasindhu, Pakpachong ; Thawesaengskulthai, Natcha
Author_Institution :
Grad. Sch., Technopreneurship & Innovation Manage. Program, Chulalongkorn Univ., Bangkok, Thailand
fYear :
2012
fDate :
8-10 Feb. 2012
Firstpage :
397
Lastpage :
402
Abstract :
The firm´s capability to develop product innovation and successfully launch new products has been regarded as crucial determinant in sustaining a firm´s competitive advantage. Firms have been faced with a complicated problem in selecting innovation development project. From review of the related studies we found two groups of capability, firm´s innovative capability and firm´s new product development capability together with the external competitive environment factor are the factors influence the successful development of product innovation. We also review the predictive ability of Artificial intelligence, Artificial Neural Network (ANN), Fuzzy Logic (FL), and Genetic Algorithms (GAs) and found that it is possible that they will provide a superior predictive system for use in selecting the product innovation development project.
Keywords :
artificial intelligence; fuzzy logic; genetic algorithms; innovation management; neural nets; product development; artificial intelligence; artificial neural network; competitive advantage; external competitive environment factor; fuzzy logic; genetic algorithm; new product development capability; new product launching; predictive ability; product innovation development selection; Artificial intelligence; Artificial neural networks; Fuzzy logic; Innovation management; Job shop scheduling; Product development; Technological innovation; artificial intelligence; artificial neural networks; fuzzy logic; generic algorithms; innovation capability; new product develoment capability; product innovation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems, Modelling and Simulation (ISMS), 2012 Third International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-0886-1
Type :
conf
DOI :
10.1109/ISMS.2012.86
Filename :
6169736
Link To Document :
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