Search Results (227)

The rapid emergence of generative AI technologies has sparked significant transformation across educational landscapes worldwide. This study presents a comprehensive bibliometric analysis of GAI in education, mapping scholarly trends from 2022 to 2025. Drawing on 3808 peer-reviewed journal articles indexed in Scopus, the analysis reveals exponential growth in publications, with dominant contributions from the United States, China, and Hong Kong. Using VOSviewer, the study identifies six major thematic clusters, including GAI in higher education, ethics, technological foundations, writing support, and assessment. Prominent tools, especially ChatGPT, are shown to influence pedagogical design, academic integrity, and learner engagement. The study highlights interdisciplinary integration, regional research ecosystems, and evolving keyword patterns reflecting the field’s transition from tool-based inquiry to learner-centered concerns. This review offers strategic insights for educators, researchers, and policymakers navigating AI’s transformative role in education. Full article

Heritage Building Information Modeling (HBIM) has emerged as a key tool in advancing heritage conservation and sustainable management. Preceding reviews had typically concentrated on specific technical aspects but did not provide sufficient bibliometric analysis. This study aims to integrate existing HBIM research to identify key research patterns, emerging trends, and forecast future directions. A total of 1516 documents were initially retrieved from the Web of Science Core Collection using targeted search terms. Following a relevance screening, 1175 documents were related to the topic. CiteSpace 6.4.R1, VOSviewer 1.6.20, and Bibliometrix 4.1, three bibliometric tools, were employed to conduct both quantitative and qualitative assessments. The results show three historical phases of HBIM, identify core journals, influential authors, and leading regions, and extract six major keyword clusters: risk assessment, data acquisition, semantic annotation, digital twins, and energy and equipment management. Nine co-citation clusters further outline the foundational literature in the field. The results highlight growing scholarly interest in workflow integration and digital twin applications. Future projections emphasize the transformative potential of artificial intelligence in HBIM, while also recognizing critical implementation barriers, particularly in developing countries and resource-constrained contexts. This study provides a comprehensive and systematic framework for HBIM research, offering valuable insights for scholars, practitioners, and policymakers involved in heritage preservation and digital management. Full article

Understanding soil infiltration at the watershed level is crucial to hydrological studies, as it significantly influences surface runoff, groundwater replenishment, and ecosystem sustainability. Research in this area—particularly employing the Soil and Water Assessment Tool (SWAT)—has seen sustained scholarly interest, with an upward trend in related publications. This study analyzed 141 peer-reviewed articles from the Web of Science (WOS) Core Collection. By applying bibliometric techniques through CiteSpace visualization software, it explored the key themes and emerging directions in the use of the SWAT model for soil infiltration studies across watersheds. Findings revealed that this field integrates multiple disciplines. Notably, the Journal of Hydrology and Hydrological Processes emerged as two of the most impactful publication venues. Researchers and institutions from the United States, China, and Ethiopia were the core contributors to this area. “Land use” and “climate change” are currently the hotspots of interest in this field. There are three development trends: (1) The scale of research is continuously expanding. (2) The research subjects are diversified, ranging from initially focusing on agricultural watersheds to surrounding areas such as hillsides, grasslands, and forests. (3) The research content becomes more systematic, emphasizing regional coordination and ecological sustainability. Overall, the research on soil infiltration at the watershed scale using the SWAT model presents a promising and thriving field. This study provides researchers with a framework that objectively presents the research hotspots and trends in this area, serving as a valuable resource for advancing academic inquiry in this domain. Full article

This study presents a comprehensive bibliometric analysis of the evolving landscape of data protection in medicine, examining research trends, thematic developments, and scholarly contributions from the 1960s to 2024. By analyzing 2159 publications indexed in the Scopus database using the Bibliometrix R package (v.4.3.2), based on R (v.4.4.3), this paper maps key research areas, leading journals, and international collaboration patterns. Our findings reveal a significant shift in focus over time, from early concerns centered on data privacy and management to contemporary themes involving advanced technologies such as artificial intelligence, blockchain, and big data analytics. This transition reflects the increasing complexity of balancing data accessibility with security, ethical, and regulatory requirements in healthcare. This analysis also highlights persistent challenges, including fragmented research efforts, disparities in global contributions, and the ongoing need for interdisciplinary collaboration. These insights offer a valuable foundation for future investigations into medical data governance and emphasize the importance of ethical and responsible innovation in an increasingly digital healthcare environment. Full article

This study investigates the evolution and prospective directions of big data applications within the global digital economy over the past twelve years. A comprehensive bibliometric analysis was conducted using Biblioshiny and included 752 documents authored by 1748 scholars and published in 416 specialized journals and academic books between 2013 and 2024. The findings reveal that scholarly interest in this area peaked in 2024. Co-occurrence network mapping highlights three dominant thematic trends in the applicability of big data within the digital economy: technological innovations, conceptual frameworks, and the role of China. Influential academic publications—such as Sustainability, PLoS ONE, and the proceedings of the 8th International Conference on Information Technology and Quantitative Management—have played a pivotal role in advancing research in this domain. Moreover, leading institutions, including the University of the Chinese Academy of Sciences, Shenzhen University, and Guizhou University, have emerged as pivotal contributors to advancing research in this field. China is the primary driving force and key player in reshaping the digital economy through big data, a role that is expected to contribute to global technological advancement in the future. Full article

This study offers a comprehensive examination of the scientific output related to the integration of Artificial Intelligence (AI) in education using qualitative research methods, which is an emerging intersection that reflects growing interest in understanding the pedagogical, ethical, and methodological implications of AI in educational contexts. Grounded in a theoretical framework that emphasizes the potential of AI to support personalized learning, augment instructional design, and facilitate data-driven decision-making, this study conducts a Systematic Literature Review and bibliometric analysis of 630 publications indexed in Scopus between 2014 and 2024. The results show a significant increase in scholarly output, particularly since 2020, with notable contributions from authors and institutions in the United States, China, and the United Kingdom. High-impact research is found in top-tier journals, and dominant themes include health education, higher education, and the use of AI for feedback and assessment. The findings also highlight the role of semi-structured interviews, thematic analysis, and interdisciplinary approaches in capturing the nuanced impacts of AI integration. The study concludes that qualitative methods remain essential for critically evaluating AI’s role in education, reinforcing the need for ethically sound, human-centered, and context-sensitive applications of AI technologies in diverse learning environments. Full article

Although open innovation is not novel within the business sector, it has recently garnered increasing scholarly interest. However, empirical investigations applying this concept to the tourism industry remain scarce. Despite tourism being one of the most significant contributors to the global economy, it continues to face persistent challenges, including political standpoints. Within this context, implementing open innovation emerges as a potentially transformative strategy. This study examines the application of open innovation to the tourism industry. Drawing upon a detailed analysis of 35 peer-reviewed articles retrieved from the Scopus database, the study adopts the PRISMA methodology to ensure methodological rigor and transparency. Articles were retrieved using a predefined search string: “Open innovation” AND “tourism industry” OR “tourism” OR “hospitality” OR “hotels” OR “leisure”. The selection process followed the PRISMA guidelines and included only peer-reviewed journal articles in English within Business and Economics. The findings reveal that open innovation enables stakeholder collaboration, supports service and experience co-creation, and facilitates digital and organizational transformation across diverse tourism contexts. The analysis shows that recent contributions in this field tend to converge around four key thematic areas: the role of open innovation in enhancing destination branding and experiential value; the importance of stakeholder collaboration and co-creation; the internal dynamics of employee empowerment and innovation culture within tourism firms; and the strategic use of digital technologies to drive transformation and resilience in the face of industry challenges. Full article

This research examined the domain of intelligent transportation systems (ITS) by analyzing the impact of scholarly work and thematic prevalence, as well as focusing attention on vehicles, their technologies, cybersecurity, and related scholarly technologies. This was performed by examining the scientific literature indexed in the Scopus database. This study analysed 2919 documents published between 2018 and 2025. The findings indicated that the highest and most significant journal was derived from IEEE Transactions on Vehicular Technology, with significant standing to the growth of communication and computing on vehicles with edge computing and AI optimization of vehicular systems. In addition, important PST research conferences highlighted the growing interest in academic research in cybersecurity for vehicle networks. Sensor networks, pose forensics, and privacy-preserving communication frameworks were some of the significant contributing fields marking the significance of the interdisciplinary nature of this research. Employing bibliometric analysis, the literature illustrated the multiple channels integrating knowledge creation and innovation in ITS through citation analysis. The outcome suggested an increasingly sophisticated research area, weighing technical progress and increasing concern about security and privacy measures. Further studies must investigate edge computing integrated with AI, advanced privacy-preserving linguistic protocols, and new vehicular network intrusion detection systems. Full article

Archives have the potential to contribute to national development by preserving historical records and providing access to information. However, their impact is constrained by ineffective outreach strategies, insufficient institutional investment, and low public visibility. Public programming has been used as a strategic approach to bridge the gap between archival institutions and their user communities through engagement initiatives. Therefore, the objective of this study was to systematically review and analyse the diverse public programming activities undertaken by archival institutions globally and to identify the resultant outcomes of these engagements. To achieve this, the study employed a systematic literature review methodology, examining scholarly publications to synthesise existing evidence on public engagement in archives, thereby providing a comprehensive overview of current practices and their demonstrated impacts. The systematic review was conducted in accordance with PRISMA guidelines, utilising a two-stage selection process involving a search of six databases and four specialised journals. This search yielded 39 publications that met the inclusion criteria. Methodological rigour was evaluated using the CASP checklist. The results from the study indicated that exhibitions, educational programmes, community outreach, and digital initiatives were the most common public programming strategies. These activities enhance public awareness, increase accessibility, and foster community engagement. Despite the availability of various public programming activities, challenges such as inadequate funding, lack of digital infrastructure, and bureaucratic constraints hinder their effectiveness. The need for structured outreach strategies, institutional support, and the integration of emerging technologies to optimise public programming in archives is emphasised. The findings contribute to improving archival accessibility and user engagement in a rapidly evolving digital landscape. Full article

This study explores the emerging link between digital marketing and the circular economy, situated within the broader context of sustainability and digital transformation. Through a scientometric analysis of 276 documents indexed in Scopus, the research maps the conceptual, intellectual, and collaborative landscape of this intersection. The dataset was refined using the PRISMA standards, and the analysis was carried out with the R package bibliometrix. The findings reveal a highly fragmented body of literature, with a few prolific authors and limited international cooperation. Most of the influential publications are concentrated in a small number of sources, particularly the journal Sustainability. Thematic mapping identifies growing interest in areas such as consumer perception, sustainable development, and the adoption of digital tools by micro-enterprises, while other topics like recycling or public health remain peripheral. Although the scholarly output has surged in recent years (especially during 2023 and 2024), the field still lacks coherent theoretical frameworks or dominant research schools. Overall, digital marketing appears to be a promising driver for promoting circular practices, but further applied studies and enhanced international collaboration are essential to consolidate this line of inquiry. Full article

With the growing demand for mobility fueled by global population expansion and rapid urbanization, the intricate interplay between public transport and land use, along with their economic, environmental, and social externalities, has emerged as a critical concern for policymakers and the public alike. This study assembles publicly available academic literature, including papers, reports, books, and news articles, to construct a comprehensive database. Using CiteSpace 5.8.R3 software, this study conducts a visualized analysis of 10,470 scholarly works on public transport and land use published since 1932, identifying and synthesizing the researcher, research stages, research theories, research models, and research hotspots. Findings reveal that since Mitchell and Rapkin first introduced the transport–land use relationship in 1954, research in this field has steadily gained traction, particularly after the 1973 oil embargo crisis. The Journal of Transport and Land Use and institutions such as the University of Minnesota’s Transportation Research Center have played pivotal roles, particularly with the establishment of the World Society for Transport and Land Use Research (WSTLUR). In recent years, China’s high-speed rail expansion has further revitalized interest in this field. Prominent scholars in this domain include Robert Cervero, Reid Ewing, Michael Duncan, and Peter Calthorpe. Major theoretical frameworks encompass utility theory, urban economic theory, and the human–land system theory. Key modeling approaches include the spatial interaction model, the stochastic utility model, and urban economic models. Current research hotspots center on safety and public health, equity and valuation, environmental sustainability and energy efficiency, as well as transit-oriented development (TOD) and accessibility. This systematic literature review offers valuable insights to inform land use planning, enhance spatial structure, guide transportation project decision making, and optimize transport infrastructure and service provision. Full article

Corporate Social Responsibility (CSR) and its sustainability-focused communications are now recognized as essential corporate activities. As society increasingly holds firms accountable for their social, environmental, and sustainability impacts, academic interest in CSR communications has similarly grown, with scholars exploring how CSR communication influences stakeholder engagement and corporate strategies. In response to this growing interest, we conducted a systematic literature review utilizing bibliometric analysis to identify and examine publication trends and patterns in CSR and CSR-associated communications, drawing from a robust dataset of 3513 documents extracted from Scopus and Web of Science. The analysis was conducted using the Biblioshiny R package and Excel to ensure methodological precision and analytical depth. We explored the characteristics of publications related to topics such as business, authorship, and journals over a four-decade period spanning from 1984 to 2024. Our results reveal four strategic clusters of CSR disclosure, reflecting a shift from symbolic to strategic and stakeholder-focused communication. Thematic evolution highlights the growing integration of ESG frameworks and digital reporting practices. This study is significant not only in its methodological rigor but also in its timely contribution to the intersection of CSR, sustainability, and strategic communication. Also, this study introduces a new theoretical framework through the CSR strategic disclosure indicator metric, which connects the level of disclosure maturity with the focus on different stakeholder groups. We discuss the implications of our findings not only for future scholarly research in CSR but also for corporate sustainability practitioners who look to academia for insights on emerging trends in CSR and CSR reporting. Full article

Traditional academic discourse has long prioritized published sources—such as monographs, peer-reviewed journal articles, conference proceedings, and legal or regulatory documents—as the sole authoritative references for scientific inquiry. While these sources undoubtedly provide a validated foundation of disciplinary knowledge, they also represent the codification of past insights and often lag behind emerging developments. This paper critically examines the limitations of this conventional epistemic framework and argues for its deliberate extension. In an era characterized by rapid information dissemination and knowledge creation across diverse platforms, a significant proportion of relevant expertise now resides outside the boundaries of traditional literature. Insights from domain experts, practitioners, real-time media (e.g., news reports, podcasts, video content), original data collection, experimental inquiry, and scholarly dialog increasingly constitute valuable sources of scientific knowledge. Drawing a parallel to data-driven disciplines, where historical records are complemented by real-time analytics and user-derived insights, this article outlines the categories of such contemporary knowledge that warrant academic recognition and proposes rigorous methodologies for their systematic integration into scholarly work. Full article

This study conducts a bibliometric and altmetric analysis of women’s entrepreneurship, examining research trends, challenges, and contributions to sustainable development. By analyzing 6729 journal articles from the Web of Science (1975–2024), this study employs citation analysis, co-citation analysis, and co-word analysis, alongside altmetric indicators, to assess research impact. Visualization tools such as VOSViewer (version 16.20) were used to map the scholarly landscape. Key findings highlight critical themes, including gender disparities, financial barriers, socio-cultural challenges, and digital transformation, underscoring the crucial role of women entrepreneurs in achieving the United Nations’ Sustainable Development Goals (SDGs). This study identifies major research clusters, leading authors, and institutions that shape the field, while also revealing regional disparities in research output. The growing prevalence of open-access research has enhanced knowledge dissemination, yet access to financial and technological resources remains a challenge for women entrepreneurs. This study emphasizes the need for targeted policies to improve access to finance, digital tools, and entrepreneurial education, fostering an enabling ecosystem for women-led businesses. By integrating traditional bibliometric techniques with altmetrics, this research provides a comprehensive assessment of global trends in women’s entrepreneurship, offering valuable insights for academics, policymakers, and practitioners. It contributes to the literature on gender and entrepreneurship by identifying emerging themes and gaps, advocating for inclusive policies and enhanced support mechanisms to drive sustainable economic growth. Full article

The scientific literature is expanding at an unprecedented pace, making it increasingly difficult for researchers, students, and professionals to extract relevant insights efficiently. Traditional academic publishing offers static, one-size-fits-all content that does not cater to the diverse backgrounds, expertise levels, and interests of readers. This paper explores how generative AI can dynamically personalize scholarly content by tailoring summaries and key takeaways to individual user profiles. Nine scientific articles from a single journal issue were used to create the dataset, and prompt engineering was applied to generate tailored insights for exemplary personas: a digital humanities and open science researcher, and a mining and raw materials industry specialist. The effectiveness of AI-generated content modifications in enhancing readability, comprehension, and relevance was evaluated. The results indicate that generative AI can successfully emphasize different aspects of an article, making it more accessible and engaging to specific audiences. However, challenges such as content oversimplification, potential biases, and ethical considerations remain. The implications of AI-powered personalization in scholarly communication are discussed, and future research directions are proposed to refine and optimize AI-driven adaptive reading experiences. Full article