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Elisabeth Loiola ;Journal of Technology Management & Innovation 2012, 7 4

Autor: Paulo Soares Figueiredo

Fuente: http://www.redalyc.org/


Introducción



Journal of Technology Management & Innovation E-ISSN: 0718-2724 ljimenez@jotmi.org Universidad Alberto Hurtado Chile Soares Figueiredo, Paulo; Loiola, Elisabeth Enhancing New Product Development (NPD) Portfolio Performance by Shaping the Development Funnel Journal of Technology Management & Innovation, vol.
7, núm.
4, 2012, pp.
20-35 Universidad Alberto Hurtado Santiago, Chile Available in: http:--www.redalyc.org-articulo.oa?id=84725240009 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Received August 13, 2012 - Accepted December 04, 2012 J.
Technol.
Manag.
Innov.
2012,Volume 7, Issue 4 Enhancing New Product Development (NPD) Portfolio Performance by Shaping the Development Funnel Paulo Soares Figueiredo1, Elisabeth Loiola2 Abstract New product development (NPD) projects are typically managed through a series of screens, or gates, where ideas compete for resources.
Ideas are carved into projects, and these projects are reviewed, and approved or terminated through the screening process so that only the best performing projects continue to subsequent stages of design, development and testing, and are released into the market place (Krishnan and Ulrich 2001; Terwiesch and Ulrich 2009). Most large innovative organizations deal with more than one NPD project at a time and typically engage in product pipeline management (PPM), where a set of active projects are evaluated together while they traverse through a sequence of such screens.
Key decisions in a R&D pipeline are: screen thresholds, complexity of projects, resource allocation and capacity adjustment biases.
We explore the impact of structural and behavioral aspects of these decisions through a simulation based analysis of a pharmaceutical dataset.
Results establish concave ...





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