Exploration and Project Management
Sylvain Lenfle
Additional contact information
Sylvain Lenfle: CRG - Centre de recherche en gestion - X - École polytechnique - IP Paris - Institut Polytechnique de Paris - CNRS - Centre National de la Recherche Scientifique
Post-Print from HAL
Abstract:
Project management in academic studies tends to be regarded as an adequate solution to the problems raised by innovation. This paper sets out to question this tendency to equate projects and innovation which, in our view, can lead to the improper use of projects to manage innovation. We argue that, in line with the work on project classification, a distinction should be made between the various types of design situations to which different types of projects are suited. Qualitative research on automotive telematics allows us to identify the management methods suited to the most innovative projects, i.e. exploration projects for which neither technologies nor customer requirements are known at the start of the project. We will show how these situations shake up traditional project management models and will propose five management principles adapted to this new situation.
Keywords: innovation; project management; Automotive telematics; New Product Development; exploration (search for similar items in EconPapers)
Date: 2008
Note: View the original document on HAL open archive server: https://hal.science/hal-00404168v1
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (29)
Published in International Journal of Project Management, 2008, 25 (6), pp.469-478
Downloads: (external link)
https://hal.science/hal-00404168v1/document (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-00404168
Access Statistics for this paper
More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().