Industry 5.0 represents a significant shift from the automation-centric paradigm of Industry 4.0, emphasizing human–machine collaboration, sustainability, and resilience in industrial operations. This study explores the integration of advanced technologies such as artificial intelligence (AI), collaborative robotics, human-digital twins (HDTs), and the Internet of Things (IoT) with human creativity to drive sustainable and adaptive manufacturing processes. Through a systematic literature review (SLR) of 110 articles, this research identifies key drivers, challenges, and opportunities associated with Industry 5.0. The findings highlight Industry 5.0’s role in enhancing mass customization, reducing environmental impact through circular economy principles, and improving workforce adaptability through reskilling initiatives. Despite its potential, challenges such as technological integration, ethical AI concerns, regulatory barriers, and cybersecurity risks remain critical hurdles to adoption. This study also proposes a structured Industry 5.0 framework, outlining key implementation steps, including human-technology integration, ethical compliance, sustainable manufacturing strategies, workforce adaptation, and real-time optimization. The research contributes to existing literature by providing a comparative analysis of Industry 4.0 and Industry 5.0, testable hypotheses for future empirical validation, and insights into policy and industrial strategies for seamless transition. The study concludes that Industry 5.0 is not just an extension of Industry 4.0 but a transformative paradigm aimed at fostering a sustainable, human-centric industrial future. The findings provide actionable strategies for industry leaders, policymakers, and researchers to navigate the evolving industrial landscape effectively.

The application of Industry 4.0 technology has substantial prospects for future innovation and corporate growth. This research study investigates the influence of Industry 4.0 technologies on the establishment of environmental sustainability in the manufacturing sector and other associated industries. Industry 4.0 and its associated technologies, including the Internet of Things (IoT) and cyber-physical systems, have a detrimental effect on environmental sustainability. This is due to factors such as air pollution, improper waste disposal, and excessive consumption of raw materials, information, and energy. The approach employed in this study is an extensive review of a literature review comprising 207 manuscripts that explore subjects pertaining to Industry 4.0 and environmental sustainability. Currently, there is a gap between the current and intended state of affairs. Production is happening in a paradigm that lacks sustainability, which is why this research examines the impact of Industry 4.0 on environmental sustainability and the relevant aspects of Industry 4.0. One of the objective of this study is to examine the notable advantages of Industry 4.0 in the context of sustainable manufacturing. The other objective of this study are to ascertain the specific tools and components associated with Industry 4.0 that have a role in promoting the progress of a sustainable ecosystem and to do a comprehensive analysis of existing literature to find out the effectiveness of technologies of Industry 4.0 in promoting environmental sustainability. This study identifies and examines 18 significant uses of Industry 4.0 that contribute to the development of a sustainable environment. This research shows that the convergence of Industry 4.0 and the sustainable development goals improves environmental sustainability by establishing ecological support that ensures superior environmental performance with a greater positive influence than previously. This paper aims to assist stakeholders and organizations in addressing current environmental concerns by implementing innovative technologies. This study is novel in that it illustrates the integration of Industry 4.0 and its technologies with sustainable development goals, resulting in a sustainable Industry 4.0 that combines environmental protection and sustainability.

Sustainable supplier selection has become a critical factor for organizations striving to align their supply chains with environmental, economic, and social sustainability goals. The increasing need for sustainable practices in procurement has prompted the development of frameworks that address these dimensions effectively. This study develops a comprehensive framework for evaluating sustainable suppliers in the textile industry, integrating Triple Bottom Line (TBL) principles with SWARA and TOPSIS methods. Initially, 20 sustainability criteria were identified through a rigorous review of the literature and expert consultations. These criteria were then narrowed down to 15 key criteria based on expert evaluations using a 5-point Likert scale. The study found that the most important economic criteria were chemical quality (0.0929), price (0.0830), and delivery reliability (0.0798), while sustainability concerns were highlighted by environmental management systems (0.0798) and employee health and safety (0.0775). These findings reflect the increasing emphasis on both operational efficiency and environmental and social responsibility in supplier selection. Using TOPSIS, the suppliers were ranked based on their performance across these 15 criteria. The results revealed Supplier A (0.7555) as the most sustainable, followed by Supplier B (0.7337), while Supplier E (0.2573) ranked last due to weaker sustainability performance. These rankings highlight the significance of sustainability practices, especially in environmental and social dimensions, which are increasingly critical in the procurement decision-making process. The study provides valuable insights for procurement managers, particularly in emerging economies like Bangladesh, where SMEs dominate the textile supply chain. By using this SWARA-TOPSIS framework, companies can select suppliers that align with sustainability goals, improving both environmental performance and social responsibility. This research contributes to the field of sustainable supply chain management by offering a structured, transparent, and objective method for supplier evaluation.

The fast fashion industry significantly impedes sustainability by its rapid production cycles, low-cost products, and heavy carbon footprint. Nowadays, circular economy (CE) has become an interesting concept, which follows the “take-make-dispose” model and allows products, materials, and resources to be in use as long as possible. There is a paucity of research in the identification of circular economy strategies (CES) and mapping them based on their interrelationships, which is very important from a managerial perspective. In this vein, this study identifies nine CES and analyzes their causal relationships using the Fuzzy Decision-Making Trial and Evaluation Laboratory method in the context of fast fashion footwear manufacture. The key contributions include providing actionable insights for implementing CE practices, enhancing the sustainability of the footwear industry, and offering a strategic roadmap for industry stakeholders. The results and implications of this study will guide footwear industry decision-makers in making a strategic map considering the cause-and-effect interrelationships among the CES for implementing CE business practices in the footwear industry.

This research is designed to understand the concept of digital economy and its sustainability. These facts and concepts have gained popularity as a result of the growing concern about climate change and the advancement and acceptance of technologies. Scholars, corporate executives, and policymakers are investigating the various ways in which digital innovations may be utilized to tackle sustainability challenges. Through a rigorous literature review and bibliometric assessment, we examined a subset of 116 works cataloged in SCOPUS to assess the research on this subject from 2000 to November 2023. Our study revealed that the year 2022 featured the highest number of peer-reviewed publications, with a total of 31 publications. During our study, we have identified many potential avenues for this interconnection, such as the progress of energy sources that are renewable and sustainable technological advances, the development of technologically advanced cities and environmentally-friendly growing urbanization, and the encouragement of sustainable consumer behavior. Digital technology provides firms with chances to implement sustainable business approaches and create sustainable goods. Although the digital economy offers several benefits, it also poses some obstacles that might impede progress toward sustainability objectives. These challenges include the escalation of electronic waste, excessive energy usage and the subsequent increase in greenhouse gas emissions, technological division, employment instability, the growth of monopolies, and concerns over data privacy. In order to fully capitalize on the potential offered by the electronic economy to advance sustainability, it is imperative to tackle these challenges.

This study aims to clarify how social media and smart devices affect the modern interactive learning process, particularly in Bangladesh, a South Asian nation. Several hypotheses have been formulated to support the notion that social media and digital gadgets have a favorable impact on interactive learning. These hypotheses were evaluated by surveying students to gauge their perceptions. This in-depth study uses data from an online survey administered to 350 students at various universities in Bangladesh to inquire into the ways in which these students make use of mobile devices like smartphones, laptops etc. and social media platforms to enhance their learning in an interactive manner, with their instructors, and amongst themselves. The examination and instrument validation techniques used an indirect structural equation model. The research found that students' interactions with their peers and teachers, as well as their tendency to share what they've learned online, were all significantly influenced by their participation in group efforts via online social networking. Furthermore, research has demonstrated that students' interactions with instructors, peers, and online information-sharing practices greatly impact student engagement, which impacts academic achievement. This study's findings suggest that students who work together to learn on social media platforms like Facebook, YouTube, and Twitter are more likely to be creative, motivated, as well as committed to academic exploration.