Statistical macro-data, industry surveys and case studies were analyzed to understand knowledge partitioning in new product development from different methadological angles. Automakers and suppliers need to draw on knowledge domains exogenous to the auto industry, which has led to increased complexity in the knowledge and competences required to design, manufacture and market cars. These trends have impacted the division of labor in the industry, and the internal organization of OEMs and suppliers. In new product development, efficiency and effectiveness objectives usually take the guise of the objectives of cost, lead time and product integrity.

Knowledge- and task-partitioning in the auto industry: coordination, governance and learning in new product development

ZIRPOLI, Francesco
2005-01-01

Abstract

Statistical macro-data, industry surveys and case studies were analyzed to understand knowledge partitioning in new product development from different methadological angles. Automakers and suppliers need to draw on knowledge domains exogenous to the auto industry, which has led to increased complexity in the knowledge and competences required to design, manufacture and market cars. These trends have impacted the division of labor in the industry, and the internal organization of OEMs and suppliers. In new product development, efficiency and effectiveness objectives usually take the guise of the objectives of cost, lead time and product integrity.
2005
Vol 5
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10278/4069
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