Evidence map›Paper›PMID 40858676›Full record

ArticleScientific reports2025

Industry 5.0 paradigm transformation adoption in developing countries: an analytical game theoretic model.

Hamed Fazlollahtabar

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Hamed FazlollahtabarDepartment of Industrial Engineering, School of Engineering, Damghan University, Damghan, Iran. h.fazl@du.ac.ir.ORCID http://orcid.org/0000-0003-3053-4399

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a novel tripartite game model to investigate the adoption of Industry 5.0 in developing countries. The model incorporates three key stakeholders: Industry, Government, and workforce, each with distinct objectives and strategic decisions. The Industry aim to optimize production efficiency and workforce integration through advanced automation and human-machine collaboration, while Government focus on regulatory frameworks and incentives to foster technological adoption. Workforce aim to enhance the deployment of AI, robotics, and other Industry 5.0 technologies for skill adaptation and job security. By utilizing game theory, this research analyzes the interactions, competition, and cooperation among these stakeholders, exploring the dynamic incentives and trade-offs that influence adoption decisions. The model also considers the socio-economic challenges faced by developing countries, such as limited infrastructure, workforce skills, and financial constraints. Through equilibrium analysis, the study provides insights into the optimal strategies for each stakeholder and highlights the critical factors that drive or hinder the successful implementation of Industry 5.0 in these contexts. The findings offer valuable policy implications for governments and actionable strategies for industries in developing countries seeking to leverage Industry 5.0 technologies for sustainable growth and competitive advantage.

Indexed as

Analytical modelDeveloping countriesGame theoryIndustry 5.0

Identifiers

PMID40858676
PMCPMC12381012

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

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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.