Do the innovative technological advancements foster the green transition pathways for industry 5.0? A perspective toward carbon neutrality

Benchmarking An International Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 23, 2025

Purpose Industries have been the most significant contributor to carbon emissions since beginning of Industrial Revolution. The transition Industry 5.0 (I5.0) marks a pivotal moment in industrial revolution, which aims reconcile productivity with environmental responsibility. As concerns about decline quality increase and demand for sustainable methods intensifies, experts recognize shift toward I5.0 as crucial turning point. Design/methodology/approach This review study explores convergence green technological advancements evolving landscape I5.0, thereby presenting roadmap neutrality. Through an extensive analysis literature spanning from 2012 2024, sourced Scopus database, research unravels transformative potential innovations, artificial intelligence, supply chain management metaverse. Findings findings underscore urgent imperative integrating technologies into fabric highlighting opportunities challenges inherent this endeavor. Furthermore, provides insights tailored policymakers, regulators, researchers stakeholders, fostering informed decision-making carbon-neutral future. Originality/value serves call action, urging collective efforts harness innovation betterment industry environment.

Language: Английский

---

Leveraging Artificial Intelligence (AI) for Resilience in Industry 5.0

Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 68

Published: Jan. 31, 2025

The incorporation of Artificial Intelligence (AI) within Industry 5.0 significantly enhances resilience among small businesses. This chapter explores how AI transforms resilience, sustainability, and customer engagement strategies. With Small businesses can analyze large datasets to identify risks, optimize operations, deliver personalized experiences that align with consumer expectations. AI's ability process data efficiently allows anticipate market changes navigate uncertainties. Additionally, adopting fosters a culture encouraging employees embrace change. also supports sustainable practices by optimizing resource use reducing waste. Customer improves through AI-driven personalization, allowing tailor products services individual preferences. concludes recommendations for businesses: invest in employee training collaboration, ensure leadership commitment, prioritize foster adaptability thrive today's 5.0.

Language: Английский

---

An Overview of Blockchain for Industry 5.0: Towards Human-Centric, Sustainable and Resilient Applications

IEEE Access, Journal Year: 2024, Volume and Issue: 12, P. 116162 - 116201

Published: Jan. 1, 2024

Industry 5.0 is an evolving concept that aims to enhance the way modern factories operate by seeking long-term growth, production efficiency and well-being of industrial workers. Human-centricity, sustainability resilience are three pillars 5.0, which developed on 4.0 enabling technologies. One most compelling technologies help implement communications architecture proposed blockchain, can provide trustworthy, secured decentralized information different domains. This article provides analysis transition between paradigms. Moreover, it examines benefits challenges arise when using blockchain develop applications analyzes design factors should be considered developing this type applications. Furthermore, presents a thorough review relevant blockchain-based for pillars. Therefore, main goal comprehensive detailed guide future developers allows determining how might benefit next generation human-centric, sustainable, resilient

Language: Английский

---

The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques

Flexible Services and Manufacturing Journal, Journal Year: 2024, Volume and Issue: unknown

Published: Nov. 30, 2024

Abstract Industry 5.0 (I5.0) marks a transformative shift toward integrating advanced technologies with human-centric design to foster innovation, resilient manufacturing, and sustainability. This study aims examine the evolution collaborative dynamics of I5.0 research through bibliometric analysis 942 journal articles from Scopus database. Our findings reveal significant increase in research, particularly post-2020, yet highlight fragmented collaboration networks noticeable gap between institutions developed developing countries. Key thematic areas identified include human-robot collaboration, data management security, AI-driven sustainable practices. These insights suggest that more integrated approach is essential for advancing I5.0, calling strengthened global collaborations balanced emphasis on both technological elements fully realize its potential driving industrial provides first comprehensive offering valuable researchers practitioners.

Language: Английский

---

Methodology for Stakeholder Prioritization in the Context of Digital Transformation and Society 5.0

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5317 - 5317

Published: June 21, 2024

This paper addresses a pragmatic and well-articulated qualitative methodology for the identification, prioritization, consultation of stakeholder groups higher education institution as key element organization in context digital transformation Industry 5.0. First, identification phase required technological surveillance competitive intelligence, which allowed defining organization’s stakeholders their characteristics. Then, prioritization was performed to determine that potentially will have greatest impact on achieving institution’s strategic objectives targets Sustainable Development Goals prioritized by institution, those who be most affected (positively or negatively) HEI activities. Finally, different methods tools were used consulting internal external stakeholders, according type relationship with each group, understanding perceptions issues such gender equity, mental health, regenerative economy, diversity training. The results are then presented terms organizational context, where concept group defined dynamics selected HEI; include students, employees, academic research sector, public business social community, archdiocese diocese, alumni, donors, benefactors. approach enabled became priority university’s actions towards future. Although is mainly qualitative, can represent high degree subjectivity, exercise provides organizations inputs decision making aligned needs expectations. Using help experience structural changes reflected improved alignment, understanding, satisfaction stakeholders’ expectations needs, enhancement reputation, risk conflict mitigation, consolidation long-term healthy trustworthy relationships, Society 5.0, human-centered solutions expected.

Language: Английский

---

The Emergence of Digitalization to the Manufacturing Sector in the Sustainability Context: A Multi-stakeholder Perspective Analysis

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 468, P. 142983 - 142983

Published: Aug. 1, 2024

Language: Английский

---

A Deep Learning-Based Ensemble Framework to Predict IPOs Performance for Sustainable Economic Development

Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 827 - 827

Published: Jan. 21, 2025

Addressing resource scarcity and climate change necessitates a transition to sustainable consumption circular economy models, fostering environmental, social, economic resilience. This study introduces deep learning-based ensemble framework optimize initial public offering (IPO) performance prediction while extending its application processes, such as recovery waste reduction. The incorporates advanced techniques, including hyperparameter optimization, dynamic metric adaptation (DMA), the synthetic minority oversampling technique (SMOTE), address challenges class imbalance, risk-adjusted enhancement, robust forecasting. Experimental results demonstrate high predictive performance, achieving an accuracy of 76%, precision 83%, recall 75%, AUC 0.9038. Among methods, Bagging achieved highest (0.90), outperforming XGBoost (0.88) random forest (0.75). Cross-validation confirmed framework’s reliability with median 0.85 across ten folds. When applied scenarios, model effectively predicted sustainability metrics, R² values 0.76 for both reduction low mean absolute error (MAE = 0.11). These highlight potential align financial forecasting environmental objectives. underscores transformative learning in addressing challenges, demonstrating how AI-driven models can integrate goals. By enabling IPO predictions enhancing outcomes, proposed aligns Industry 5.0’s vision human-centric, data-driven, industrial innovation, contributing resilient growth long-term stewardship.

Language: Английский

---

Sustainable Universities as Catalysts for Industry 5.0 Transformation

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 27 - 52

Published: Jan. 24, 2025

Industry 5.0 represents a significant shift, combining human creativity with advanced technologies to achieve sustainable and human-centered industrial practices. Universities play critical role in this transformation by encouraging innovation, interdisciplinary research, collaboration industry, all while incorporating sustainability into their operations. This chapter investigates how universities advance the Sustainable Development Goals (SDGs) implementing initiatives such as green campuses, smart technologies, ISO standards that promote It focuses on current practices worldwide, renewable energy adoption, waste reduction, project-based learning. Key challenges financial constraints, cultural resistance, skill gaps are addressed through solutions public-private partnerships, bonds, adaptive curricula. The concludes policy recommendations for incentivizing infrastructure, developing global research networks, KPIs.

Language: Английский

---

Pioneering Sustainability Through Industry 5.0 With a Human-Centric Approach

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 53 - 74

Published: Jan. 24, 2025

The first three industrial revolutions facilitated the transition from manual production to automation, while Industry 4.0 has supported concept of smart manufacturing aimed at flexible and efficient goods. This transformation been made possible through Cyber-Physical Systems (CPS), enabling real-time communication collaboration. However, this shift raises concerns about dehumanization work, as modern systems heavily rely on mechanization data-driven processes. driven 5.0, which aims harmonize human skills with intelligent by blending efficiency automation cognitive abilities create a more balanced paradigm. In book chapter, bibliometric analysis studies conducted inception 5.0 in 2019 present performed, topic discussed depth. It also examines emerging trends, highlights dominant research areas, explores methodological frameworks, summarizes existing findings topic.

Language: Английский

---

Strategies for sustainable road transport: Technological innovation and organizational management through AI

Transportation Research Part D Transport and Environment, Journal Year: 2025, Volume and Issue: 141, P. 104651 - 104651

Published: Feb. 19, 2025

Language: Английский

---