Imen Zrelli
36740950300
Publications - 8
Industry 5.0 as seen through its academic literature: an investigation using co-word analysis
Publication Name: Discover Sustainability
Publication Date: 2025-12-01
Volume: 6
Issue: 1
Page Range: Unknown
Description:
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.
Open Access: Yes
Exploring the state-of-the-art of halal food research using latent Dirichlet allocation
Publication Name: Discover Food
Publication Date: 2025-12-01
Volume: 5
Issue: 1
Page Range: Unknown
Description:
The rapid growth of the halal food (HF) industry has created a pressing need for a comprehensive synthesis of the existing body of knowledge. However, there remains a significant gap in the literature regarding the key themes, patterns, and emerging areas in HF research. This study addresses this gap by systematically analyzing the HF literature to identify key themes, patterns, and emerging areas of interest in the HF field. The study employs latent Dirichlet allocation (LDA)-based topic modeling to uncover and map the underlying themes in the HF literature, analyzing 738 publications from Scopus to determine the main topics and trends in HF research. The analysis reveals six main topics in HF research: (1) HF quality, safety assessment, and production methods; (2) HF supply chain management; (3) HF detection and authentication methods; (4) HF and Islamic culture; (5) HF and consumer behavior; and (6) HF and tourism and hospitality. The study identifies an overall increasing trend in HF research over the years, with particular emphasis on HF supply chain management and consumer behavior, while HF and Islamic culture received comparatively lower levels of attention. This study offers a novel and comprehensive analysis of the HF literature using LDA-based topic modeling, highlighting the key themes and patterns in the field. The insights derived from this study hold significant theoretical and practical implications for researchers, policymakers, manufacturers, retailers, and consumers in the rapidly growing HF industry. By identifying the main areas of focus and research gaps, the study serves as a valuable foundation for further research and analysis in the field, ultimately contributing to the ongoing development and evolution of HF research.
Open Access: Yes
Tracing knowledge diffusion trajectories in the research field of cyberbullying
Publication Name: Heliyon
Publication Date: 2025-01-15
Volume: 11
Issue: 1
Page Range: Unknown
Description:
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.
Open Access: Yes
Drone Applications in Logistics and Supply Chain Management: A Systematic Review Using Latent Dirichlet Allocation
Publication Name: Arabian Journal for Science and Engineering
Publication Date: 2024-09-01
Volume: 49
Issue: 9
Page Range: 12411-12430
Description:
As an emergent technology, drones have grown increasingly integral to the logistics and supply chain management (SCM) sectors. This review paper seeks to address this gap by analyzing a carefully curated dataset of 96 journal articles, sourced from Scopus and Web of Science, concerning drone applications in logistics and SCM. Our study reveals a rising trend in drone-related logistics and SCM research and highlights the growing significance of this technology. Using latent Dirichlet allocation (LDA), we distilled the corpus into ten distinct topics and provided a comprehensive overview of the field’s thematic landscape. The most prominently studied themes were drones for humanitarian logistics and SCM and optimization of last-mile delivery using drones and trucks in urban logistics. These areas underscore the promise of drones in addressing humanitarian challenges and urban logistics optimization, respectively. Conversely, the least explored topics were drones safety and utility and drone delivery and consumer behavior in food logistics. To our knowledge, this is the first paper applying LDA to examine drone applications in logistics and SCM, offering novel insights into the current state of the literature. Moreover, based on our findings, we propose a future research agenda to encourage further exploration into under-studied areas and to sustain the momentum of this exciting field.
Open Access: Yes
A bibliometric analysis of IoT applications in logistics and supply chain management
Publication Name: Heliyon
Publication Date: 2024-08-30
Volume: 10
Issue: 16
Page Range: Unknown
Description:
The rapid integration of the Internet of Things (IoT) into logistics and supply chain management (SCM) marks a significant transformation towards enhanced efficiencies, security, and sustainability. Through a comprehensive bibliometric analysis of 2680 publications from the Scopus database, this study charts the evolution of IoT within logistics and SCM and reveals a shift from foundational explorations to mature implementations. The research unfolds a complex thematic structure, highlighting the revolutionary impacts of IoT and related technologies such as RFID, the synergy of Industry 4.0 with SCM through Artificial Intelligence (AI) and the Industrial Internet of Things (IIoT), the strategic role of blockchain for enhanced traceability and security, and the advent of novel communication and encryption technologies for secure data exchanges. Further, the analysis categorizes the scholarly discourse into critical areas including big data and IoT optimization in SCM, IoT-driven innovation in the food supply chain, applications of blockchain and smart contracts, digital transformation through Industry 4.0, security advancements with intelligent systems, and the exploration of advanced technologies for Industry 4.0 and 5.0. This review not only delineates the intellectual landscape of IoT applications in logistics and SCM but also identifies emerging research areas such as blockchain integration, 5G potential, and AI-driven optimizations, suggesting pathways for future research to broaden the understanding in this dynamically evolving field. It serves as an essential resource for academics and practitioners, providing insights into the transformative role of IoT in logistics and SCM and proposing directions for future technological and academic endeavors.
Open Access: Yes
Analyzing Barriers to Internet of Things (IoT) Adoption in Humanitarian Logistics: An ISM–DEMATEL Approach
Publication Name: Logistics
Publication Date: 2024-06-01
Volume: 8
Issue: 2
Page Range: Unknown
Description:
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.
Open Access: Yes
Blockchain technology in the renewable energy sector: A co-word analysis of academic discourse
Publication Name: Heliyon
Publication Date: 2024-04-30
Volume: 10
Issue: 8
Page Range: Unknown
Description:
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.
Open Access: Yes
The research landscape of industry 5.0: a scientific mapping based on bibliometric and topic modeling techniques
Publication Name: Flexible Services and Manufacturing Journal
Publication Date: 2024-01-01
Volume: Unknown
Issue: Unknown
Page Range: Unknown
Description:
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.
Open Access: Yes
