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