NDLI: Measuring customer innovativeness via FuzzyART network modeling

Content Provider	IEEE Xplore Digital Library
Author	Yung-Hsin Chen Shuo-Chang Tsai Sheng-Tsung Hou Long-Tai Chen
Copyright Year	2009
Description	Author affiliation: Mechanical and Systems Research Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan (Long-Tai Chen) \|\| Graduate Institute of Management of Technology, Feng Chia University, Taichung, Taiwan (Sheng-Tsung Hou) \|\| Department of Business Administration, Asia University, Taichung, Taiwan (Yung-Hsin Chen; Shuo-Chang Tsai)
Abstract	Many attempts to bridge innovation and creating market opportunity fail due to a company's incompetence to cross the chasm—the diffusion transition between the embryonic market where customers are innovators/early adopters and the profitable mass market where customers are early majority/later majority. However, the extant body of literature address the why but not the how. This paper thus presents the research method incorporating the approach of customer knowledge management (CKM) to shed light on how to tackle the challenge. The process of CKM not only but delineates the executable procedure how to gain an insight into customer response to an innovative product, also employs several quantitative methods as the benchmarking tools for the peer-to-peer evaluation in a multiple-assessment scheme. It does so to justify the effectiveness of a less-used unsupervised clustering tool, the FuzzyART network model, against other conventional methods. In addition, the exercise of the CKM process in an industrial level Telematics case study further confirms its potential as an approach of novelty in the context of marketing the innovative products and services.
Starting Page	1558
Ending Page	1562
File Size	723303
Page Count	5
File Format	PDF
ISBN	9781424448692
DOI	10.1109/IEEM.2009.5373096
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Technological innovation Embryo customer knowledge discovery Laboratories Knowledge management adaptive resonance theory Bridges Technology management customer innovativeness Neural networks Asia Innovation management Mechanical variables measurement
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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