Knowledge collaborative incentive based on inter-organizational cooperative innovation of project-based supply chain
Abstract: Within project-based
supply chain inter-organizational cooperative innovation, the achievement of
project value-adding reflects by factors such as project-based organizational
effect level, the relationship between project cooperative innovation
objectives etc. The purpose is to provide a reliable reference for the
contractor reasonably allocate the effect level and resources between the
knowledge input and innovation stage and realize the knowledge collaboration
for project-based supply chain.
Design/methodology/approach: Based on the assumption of equal cooperation
between project-based organizations, from the view of maximizing project
value-adding and the relationship of effect cost between knowledge input and
innovation stage in consideration, the knowledge collaborative incentive model
for project-based supply chain inter-organizational cooperative innovation was
established, and solved through the first-order and second-order approach, then
the digital simulation and example analysis were presented.
Findings: The results show that, the project management enterprise
resorted to adjust project knowledge collaboration incentive intensity and
implemented knowledge input-innovation coordinative incentive strategy, not
only could achieve project value-adding maximization, but also could realize
net earnings Pareto improvement between project management enterprise and
contractor.
Research limitations/implications: To simplify the knowledge flow among
project-based organizations, the knowledge flow in the model hypothesis is
presented as knowledge input and knowledge innovation stage, thus it may affect
the final analysis results.
Originality/value: In construction project practice, knowledge is become
more and more important to achieve project value-adding. The research can
provide a theoretical guideline for the project-based organizations, such as
the contractor, the owner, especially how to utilize their core knowledge.
Author: Guangdong Wu
Journal Code: jptindustrigg130085
