The transformative potential of blockchain technology in the renewable energy sector is increasingly gaining recognition for its capacity to enhance energy efficiency, enable decentralized trading, and ensure transaction transparency. However, despite its growing importance, there exists a significant knowledge gap in the holistic understanding of its integration and impact within this sector. Addressing this gap, the current study employs a pioneering approach, marking it as the first comprehensive bibliometric analysis in this field. We have systematically examined 390 journal articles from the Web of Science database, covering the period from 2017 through the end of February 2024, to map the current landscape and thematic trajectories of blockchain technology in renewable energy. The findings highlight several critical thematic areas, including blockchain's integration with smart grids, its role in electric vehicle integration, and its application in sustainable urban energy systems. These themes not only illustrate the diverse applications of blockchain but also its substantial potential to revolutionize energy systems. This study not only fills a crucial gap in existing literature but also sets a precedent for future interdisciplinary research in this domain, bridging theoretical insights with practical applications to fully harness the potential of blockchain in the renewable energy sector.

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

Industry 5.0 marks a pivotal advancement in manufacturing and bridges cutting-edge technology with human creativity to enhance efficiency, sustainability, and workplace dynamics. Despite its growing relevance, there remains a significant knowledge gap due to the lack of comprehensive reviews that synthesize the breadth of research and practice in this rapidly evolving field. This paper presents a comprehensive bibliometric analysis of Industry 5.0 and examines a corpus of 915 journal articles from the Scopus database, spanning from January 2016 to May 2024. The study aims to map the evolving landscape and thematic trajectories of Industry 5.0, highlighting its integration with advanced technologies such as AI, IoT, and human-centric systems. The findings indicate significant trends in the field, including a shift from theoretical underpinnings to practical applications and the growing emphasis on sustainability and human–machine collaboration. These thematic areas highlight the transformative potential of Industry 5.0 to enhance operational efficiency, workplace dynamics, and environmental sustainability within the industrial sector. By employing bibliometric and co-word analysis, this study addresses existing knowledge gaps and provides a nuanced understanding of the interdisciplinary interactions and future directions in Industry 5.0. The findings reveal the critical role of emerging technologies in driving the next industrial revolution, suggesting that future research should focus on integrating these technologies with socio-economic objectives to fully realize the potential of Industry 5.0. In terms of originality, this study sets a foundation for future explorations and practical implementations that can contribute to more sustainable, efficient, and human-centric industrial practices.

In today's digital age, cyberbullying has emerged as a pervasive issue that affects individuals across various social media platforms and digital communication channels. This review explores the developmental trajectory of cyberbullying as an interdisciplinary academic field, employing a unique combination of co-word analysis and main path analysis (MPA) across a substantial body of 5183 documents. This integrated methodological approach allows for a nuanced examination of the evolution of themes and influential works within the realm of cyberbullying research. The findings highlight a complex landscape where initial focus areas, such as the behavioral and psychological triggers of cyberbullying, progressively expand towards exploring effective preventive measures and intervention strategies. Key themes identified include the impact of digital literacy, the dual role of social media as both a vector and a tool against cyberbullying, and the potential of technological advancements in detecting and mitigating cyberbullying. This comprehensive mapping and analysis deepens our understanding of cyberbullying and highlights the dynamic nature of this field, suggesting new directions for future research and practical applications to effectively address cyberbullying across various social and technological contexts. This study represents a pioneering effort in synthesizing a broad spectrum of research to offer detailed insights into the changing dynamics of cyberbullying, marking a significant contribution to both academic knowledge and practical approaches to handling cyberbullying.

Background: Effective humanitarian logistics (HL) is essential in disaster response. The “Internet of Things” (IoT) holds potential to enhance the efficiency and efficacy of HL, yet adoption is slowed by numerous barriers. Methods: This study employs interpretive structural modeling (ISM) and decision-making trial and evaluation laboratory (DEMATEL) to explore and classify barriers to IoT integration in HL. Results: A total of 12 barriers were identified, classified, and ranked according to their driving power and dependence. Key barriers include lack of standardization, organizational resistance, data quality issues, and legal challenges. Conclusions: Overcoming these barriers could significantly improve relief operations, reduce errors, and enhance decision-making processes in HL. This investigation is the first of its kind into IoT barriers in HL, laying the groundwork for further research and providing valuable insights for HL managers.