Antecedents of Knowledge Sourcing and Reuse from a Knowledge Repository in the Virtual Product Prototyping: The Role of Knowledge and System Quality Dimensions

Published date01 April 2016
AuthorRobert Willison,Raffaele Filieri
DOIhttp://doi.org/10.1002/kpm.1512
Date01 April 2016
Research Article
Antecedents of Knowledge Sourcing and
Reuse from a Knowledge Repository in
the Virtual Product Prototyping: The Role
of Knowledge and System Quality
Dimensions
Raffaele Filieri*and Robert Willison
Newcastle University Business School Newcastle University, United Kingdom
Knowledge has been identied as one of the most critical resources for achieving innovation and competitive advan-
tage. Knowledge management systems (KMS) are, therefore, being adopted by companies to enhance knowledge
management (KM) processes and innovation. Because most of new products projects are not clean-sheetefforts,
rather incremental redesigns of existing products, R&D people often retrieve and reuse existing knowledge to solve
recurring problems in the prototyping of new products. Thus, knowledge sourcing and reuse are particularly impor-
tant in this product development process. In the present research we investigated the antecedents of knowledge sourc-
ing and knowledge reuse from an electronic repository. Predictions were tested in the context of the virtual vehicle
prototyping process with data from 121 respondents of a large European Automotive supplier of R&D. Results pro-
vide support that knowledge accuracy, knowledge format, and knowledge completeness are strong predictors of
knowledge reuse. While system integration, exibility, and response time are considered strong determinants of
knowledge sourcing in KMS. The study develops and tests a new model for measuring KMS success in the context
of virtual product prototyping. Copyright © 2016 John Wiley & Sons, Ltd.
INTRODUCTION
Achieving competitive advantage urges rms to
acquire, integrate, store, share, and apply increasing
amounts of knowledge (Grant, 1996; Davenport and
Prusak, 1998). Businesses during the product devel-
opment process develop and archive huge amounts
of knowledge on product design, product anoma-
lies, anomalies solution, best practices, and the like.
The capability of organisation to enable a rapid and
effective sourcing of such knowledge is of critical
importance in the product prototype development
process. Companies are, therefore, adopting knowl-
edge management systems (KMS) to boost knowl-
edge management processes in sectors such as the
automotive industry. However, research has found
that the introduction of KMS in organisations often
fails (Malhotra, 2004; Chua and Lam, 2005). The rea-
sons for this failure include behavioural and social
factors related to their adoption (Malhotra, 2004),
or to technological, cultural, knowledge content,
and project management aspects related to KMS im-
plementation (Chua and Lam, 2005).
The present studyattempts to identify the determi-
nants of KMS success focusing on knowledge man-
agement processes post-KMS implementation in the
context of the new product development process. Be-
cause most of NPD projects are not clean-sheetef-
forts, rather incremental redesigns of existing
products (Chandrasegaran et al., 2013), R&D people
often source and reuse existing knowledge to solve
recurring problems in the design of new products
(Filieri and Alguezaui,2015). The reuse of existingde-
sign knowledgeis the key to realise rapid product de-
sign (Lu et al., 2011). Research has measured IS
success in termsof the system capacity to foster users
use (and intention to use) and satisfaction with the
*Correspondence to: Raffaele Filieri, Newcastle University Busi-
ness School Newcastle University 5 Barrack Rd, Newcastle upon
Tyne NE1 4SE, United Kingdom.
E-mail: raffaele.lieri@ncl.ac.uk
Knowledge and Process Management
Volume 23 Number 2 pp 147160 (2016)
Published online in Wiley Online Library
(www.wileyonlinelibrary.com) DOI: 10.1002/kpm.1512
Copyright © 2016 John Wiley & Sons, Ltd.

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