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A Stage Model for NPD Process Maturity and IKMS Implementation

A Stage Model for NPD Process Maturity and IKMS Implementation

Nassim Belbaly, Hind Benbya
Copyright: © 2007 |Pages: 20
ISBN13: 9781599042497|ISBN10: 1599042495|ISBN13 Softcover: 9781599042503|EISBN13: 9781599042510
DOI: 10.4018/978-1-59904-249-7.ch020
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MLA

Belbaly, Nassim, and Hind Benbya. "A Stage Model for NPD Process Maturity and IKMS Implementation." Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, edited by Xuan Zha, IGI Global, 2007, pp. 418-437. https://doi.org/10.4018/978-1-59904-249-7.ch020

APA

Belbaly, N. & Benbya, H. (2007). A Stage Model for NPD Process Maturity and IKMS Implementation. In X. Zha (Ed.), Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications (pp. 418-437). IGI Global. https://doi.org/10.4018/978-1-59904-249-7.ch020

Chicago

Belbaly, Nassim, and Hind Benbya. "A Stage Model for NPD Process Maturity and IKMS Implementation." In Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, edited by Xuan Zha, 418-437. Hershey, PA: IGI Global, 2007. https://doi.org/10.4018/978-1-59904-249-7.ch020

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Abstract

The objective of this chapter is to provide an analytical tool to assist organizations in their implementations of Intelligent Knowledge Management Systems (IKMS) along the new product development (NPD) process. Indeed, organizations rely on a variety of systems using Artificial Intelligence to support the NPD process that depends on the maturity stage of both the process and type of knowledge managed. Our framework outlines the technological and organizational path that organizations have to follow to integrate and manage knowledge effectively along their new product development process. In doing so, we also address the main limitations of the systems used to date and suggest the evolution towards a new category of KMS based on artificial intelligence that we refer to as Intelligent Knowledge Management Systems. We illustrate our framework with an analysis of several case studies.

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