Evidence map›Paper›PMID 41920849›Full record

ArticlePloS one2026

The orchestrating role of platform enterprises in digital inclusion: A network game perspective from industrial clusters.

Dingteng Wang, Ningning Li, Guoan Liang, Shengming Li

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Dingteng WangSchool of Business, Guangxi City Vocational University, Chongzuo, Guangxi, China.ORCID https://orcid.org/0009-0002-1176-2361
Ningning LiSchool of Business, Guangxi City Vocational University, Chongzuo, Guangxi, China.
Guoan LiangSchool of Business, Guangxi City Vocational University, Chongzuo, Guangxi, China.
Shengming LiSchool of Business, Guangxi City Vocational University, Chongzuo, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The digital transformation of industrial clusters, while enhancing productivity, has exacerbated the corporate digital divide, particularly for small and medium-sized enterprises (SMEs). Digital inclusion, which aims to bridge this divide, exhibits public-good attributes and positive externalities, yet its co-construction is often hindered by the "Olson's dilemma" arising from the conflict between individual and collective rationality. Platform enterprises, occupying the "bridging point" of structural holes within clusters, are posited to act as opinion leaders capable of orchestrating ecosystem co-creation. Through a theoretical simulation approach, there employs a "small-world + opinion leader" complex network framework to model the evolutionary dynamics of digital inclusion ecosystem co-construction. Integrating a public goods game model with a Fermi learning algorithm enhanced by a random surfer mechanism, we simulate strategic interactions among cluster firms under controlled parameter conditions. Monte Carlo simulations reveal a distinct threshold effect under simulated conditions: cooperation emerges sustainably only when the investment return coefficient surpasses the critical value defined by the number of game participants. Furthermore, the platform's connection ratio and strategic commitment emerge as pivotal factors; maintaining an investment strategy significantly promotes cooperation, whereas free-riding by the platform exerts a strong negative demonstration effect. While traditional platform governance tools like rewards and punishments can mitigate cooperation decay, they cannot reverse collective free-riding trends in our model. Crucially, a binding collective agreement, featuring pre-commitment of costs and redistribution of unused funds, emerges as the most effective mechanism for resolving the cooperation dilemma within the simulation. These theoretically derived findings offer insights for policymakers, platform enterprises, and SMEs in fostering collaborative and inclusive digital ecosystems within industrial clusters, though empirical validation remains necessary.

Indexed as

Game TheoryIndustryAlgorithmsComputer SimulationCooperative BehaviorHumansModels, TheoreticalMonte Carlo Method

Identifiers

PMID41920849
PMCPMC13042771

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.