Construction and Research of a Novel Evolutionary Model of Crowdsourcing Collaborative Innovation Under Digitalization Trends

Crowdsourcing collaborative innovation is an essential manifestation of innovation democratization, which is of great theoretical and practical significance to “mobilize the passion of innovation in the whole society.” Given this, this paper constructs a tripartite evolutionary game model of crowdsourcing collaborative innovation, which is “platform regulation, issuing‐lead, and receiving‐cooperation,” analyzes the strategic choices of the three parties in the process of crowdsourcing collaborative innovation. The influencing factors of crowdsourcing cooperation and innovation strategy selection were investigated by simulation analysis with ZBJ.com as the observation object. The results show that: the degree of impact exerted by the crowdsourced system, the lender, and the recipient on their readiness to collaborate varies; the amount of default penalty is controlled to enhance the network externality of the crowdsourcing platform appropriately, and the reasonable revenue distribution coefficient is maintained to keep the proportion of nonregulatory revenue low. The essence of this study is to analyze the influencing factors of crowdsourcing cooperative innovation through the evolutionary game method and help enterprises to find the innovation and upgrading paths under the value network; the platform‐based enterprises’ business platforms are intelligent, business processes are digitalized, and the business trend is green. This study is of practical value for firms to carry out innovative absorption of innovation resources, improve innovation performance, and promote innovation’s democratization process more effectively.

Authors

Institutions

Publication Details

Journal
Journal of Mathematics
Published
2025-01-01
DOI
https://doi.org/10.1155/jom/8478007
Primary Topic
Open Source Software Innovations
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Construction and Research of a Novel Evolutionary Model of Crowdsourcing Collaborative Innovation Under Digitalization Trends

Junmin Wu, Yanyan Jiang, Lichi Zhang
Journal of Mathematics
Open Source Software Innovations
article

Construction and Research of a Novel Evolutionary Model of Crowdsourcing Collaborative Innovation Under Digitalization Trends

Junmin Wu, Yanyan Jiang, Lichi Zhang
article en

Abstract

Crowdsourcing collaborative innovation is an essential manifestation of innovation democratization, which is of great theoretical and practical significance to “mobilize the passion of innovation in the whole society.” Given this, this paper constructs a tripartite evolutionary game model of crowdsourcing collaborative innovation, which is “platform regulation, issuing‐lead, and receiving‐cooperation,” analyzes the strategic choices of the three parties in the process of crowdsourcing collaborative innovation. The influencing factors of crowdsourcing cooperation and innovation strategy selection were investigated by simulation analysis with ZBJ.com as the observation object. The results show that: the degree of impact exerted by the crowdsourced system, the lender, and the recipient on their readiness to collaborate varies; the amount of default penalty is controlled to enhance the network externality of the crowdsourcing platform appropriately, and the reasonable revenue distribution coefficient is maintained to keep the proportion of nonregulatory revenue low. The essence of this study is to analyze the influencing factors of crowdsourcing cooperative innovation through the evolutionary game method and help enterprises to find the innovation and upgrading paths under the value network; the platform‐based enterprises’ business platforms are intelligent, business processes are digitalized, and the business trend is green. This study is of practical value for firms to carry out innovative absorption of innovation resources, improve innovation performance, and promote innovation’s democratization process more effectively.

Journal of MathematicsVol. 2025(1)
Jiangsu University (CN), Jiangsu University of Science and Technology (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Qinglan Project of Jiangsu Province of China, Social Science Foundation of Jiangsu Province, National Social Science Fund of China
Openalex Percentile: Top 86%
Open Source Software Innovations
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.