DocumentCode :
2553476
Title :
Research on target markets decision for product innovation
Author :
Zhang, F.Y. ; Wang, P. ; Zhang, L.J. ; Liu, H.
Author_Institution :
Dept. of Mech. Eng., Tianjin Univ. of Sci. & Technol., Tianjin, China
fYear :
2009
fDate :
21-23 Oct. 2009
Firstpage :
238
Lastpage :
242
Abstract :
Segmentation of industrial markets is typically based on observable characteristics of firms such as their location and size. Indeed, the target market decision research for new product development primarily relies on experience. To improve the effectiveness and power of existing approaches to industrial market segmentation, The target market decision model for product innovation is presented and the market segment approach for mechanical product based on buyer firms´ characteristic, suppliers firms´ product characteristic and core technology characteristic is also proposed. And the mathematic model for target market decision is built. This technology makes the target market decision process operable. To test the effectiveness, a practical example of edge position automatic guiding control system is provided to illustrate the market segment, evaluation, and decision process.
Keywords :
innovation management; marketing; product development; buyer firm characteristic; core technology characteristic; edge position automatic guiding control system; industrial market segmentation; new product development; product innovation; suppliers firm product characteristic; target markets decision model; Automatic control; Automatic testing; Control systems; Mathematical model; Mathematics; Mechanical products; Power system modeling; Product development; System testing; Technological innovation; Buyer firms´ characteristics; market segmentation; product characteristics; supplier firm´ characteristics; target market decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3671-2
Electronic_ISBN :
978-1-4244-3672-9
Type :
conf
DOI :
10.1109/ICIEEM.2009.5344597
Filename :
5344597
Link To Document :
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