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Record W4414678717 · doi:10.55549/epess.938

Human-Centered Future: The Rise of Industry 5.0 in Corporate Sustainability Literature

2025· article· en· W4414678717 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueThe Eurasia Proceedings of Educational and Social Sciences · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Development and Digital Transformation
Canadian institutionsnot available
Fundersnot available
KeywordsSustainabilityScope (computer science)European unionConceptual frameworkRelevance (law)ChinaProduction (economics)BibliometricsDigital transformationQuarter (Canadian coin)

Abstract

fetched live from OpenAlex

In the second quarter of the 21st century, Industry 5.0 is considered as the most advanced stage of the industrial revolution, where the interaction between people and smart technologies has reached a new level. This assessment is not limited to the digital transformation of production processes, but also shaped by multidimensional sustainability elements such as environmental sensitivity, social benefit and ethical responsibility. The concept of Industry 5.0 seeks to build a manufacturing ecosystem grounded in sustainability and human-centric principles. The aim of this study is to reveal the current research trends in the international academic literature within the framework of the keywords “Industry 5.0” and “Sustainability” and to analyze the areas in which this conceptual framework is concentrated through bibliometric data. Building on this context, a total of 664 English-language scientific publications published between 2020 and 2025 in the Web of Science (WoS) Core Collection database were included in the scope of the analysis. The retrieved data were processed using RStudio Biblioshiny and VOSviewer software, and the publications were systematically evaluated according to their distribution across research fields, open access status, funding institutions, ongoing projects, influential conferences, leading journals, and prolific authors. The findings reveal that engineering, computer-related fields, and environmental sciences stand out as the disciplines contributing most to this area, while the fact that 71% of the publications are open access has gained particular attention. Furthermore, it was identified that funding bodies originating from the European Union and China provide the majority of financial support for this research domain. International conferences and publishers such as IFIP, IEEE, and ACM are among the most prominent platforms where the research is disseminated. As a result of the research, it is seen that the themes of Industry 5.0 and sustainability are met with increasing interest in the scientific literature; this interest is supported by multidisciplinary collaborations, global research funds and open access policies. This study contributes to identifying gaps in the literature and possible future research directions by revealing how Industry 5.0 is positioned in the context of sustainability.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.265
Threshold uncertainty score0.170

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.045
GPT teacher head0.277
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it