Evolutionary Game Analysis of Industry–University–Research Collaboration Projects with Knowledge Absorption Considerations

This research delves into how knowledge absorption efficiency impacts on collaborative behaviour within Industry–University–Research (IUR) partnerships through the lens of knowledge flow dynamics. Through the creation of an evolutionary game model involving academic institutions and enterprises based on knowledge absorption capacity analysis, numerical simulation techniques are adopted to investigate cooperation process trajectories under diverse parametric conditions. The findings reveal that strategies such as enhancing knowledge absorption capabilities, minimising knowledge collaboration and absorption expenses, and judiciously implementing reward and punishment mechanisms are instrumental in optimising IUR collaborative ventures. The establishment of resilient cooperation frameworks can elevate the renewal rates of collaborative projects, leading to advancements in science, technology, and industrial innovation.

Authors

Institutions

Publication Details

Published
2025-03-14
DOI
https://doi.org/10.1145/3736426.3736489
Primary Topic
Innovation and Knowledge Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evolutionary Game Analysis of Industry–University–Research Collaboration Projects with Knowledge Absorption Considerations

Xi Xu, Fang Feng
Innovation and Knowledge Management
article

Evolutionary Game Analysis of Industry–University–Research Collaboration Projects with Knowledge Absorption Considerations

Xi Xu, Fang Feng
article en

Abstract

This research delves into how knowledge absorption efficiency impacts on collaborative behaviour within Industry–University–Research (IUR) partnerships through the lens of knowledge flow dynamics. Through the creation of an evolutionary game model involving academic institutions and enterprises based on knowledge absorption capacity analysis, numerical simulation techniques are adopted to investigate cooperation process trajectories under diverse parametric conditions. The findings reveal that strategies such as enhancing knowledge absorption capabilities, minimising knowledge collaboration and absorption expenses, and judiciously implementing reward and punishment mechanisms are instrumental in optimising IUR collaborative ventures. The establishment of resilient cooperation frameworks can elevate the renewal rates of collaborative projects, leading to advancements in science, technology, and industrial innovation.

Qingdao University of Technology (CN)
Openalex Percentile: Top 76%
Innovation and Knowledge Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.