Search Results (92)

This bibliometric study examined 179 Scopus-indexed publications on the physical and mechanical properties of medium-density fiberboard (MDF) published between 2016 and 2025. BiblioMagika^® was used for performance analysis, and Biblioshiny was used for keyword co-occurrence, thematic mapping, and thematic evolution. The papers identified as the cohort for analysis had received 2830 citations in total, with an average of 15.81 citations per paper, and an average h-index of 30. The European Journal of Wood and Wood Products and BioResources were the most productive sources. Three distinct categories were identified through keyword mapping among the studies reviewed: (1) advanced composites and reinforcement, (2) adhesive and emission-related studies, and (3) circular-material strategies. Thematic evolution showed a trend away from traditional resin-performance topics toward broader sustainability-related themes, particularly bio-based adhesives and recycling-related topics. Overall, this review provides a quantitative overview of publication patterns, influential sources, and thematic development in MDF research. It also provides direction for future MDF research, focusing on durability, large-scale feasibility, life-cycle assessments, and practical implementation. Full article

Zoological parks increasingly operate as sustainability-oriented institutions that integrate biodiversity conservation, environmental education, animal welfare, and community engagement. In parallel with these evolving roles, digital and interactive technologies have emerged as key instruments for supporting sustainable visitor engagement and conservation communication. This study provides a systematic review and conceptual mapping of the literature by combining a PRISMA-based systematic literature review with bibliometric co-word analysis. The bibliometric results reveal four thematic clusters: (1) mobile and visitor-oriented digital technologies, (2) immersive augmented reality (AR) or virtual reality (VR) based solutions, (3) animal–computer interaction and welfare-focused technologies, and (4) traditional conservation and education research. While digital technologies demonstrate measurable short-term effects on engagement, empathy, and knowledge retention, their long-term sustainability impact and systemic integration remain limited. To address this gap, the study introduces three theoretical contributions: the concept of the zoo-based digital learning ecology, the identification of the digital fragmentation problem, and the Integrated Digital Zoo Ecosystem (IDZE) model. The proposed framework conceptualizes digital visitor experience, animal welfare technologies, and conservation communication as interdependent subsystems within a unified sustainability-oriented ecosystem. This study provides a conceptual foundation for future sustainability-driven digital innovation in zoological parks. Full article

The Mediterranean Sea is both a global biodiversity hotspot and the world’s most heavily invaded marine region, where non-indigenous species arrivals are accelerating under intensifying shipping, Suez Canal traffic, aquaculture, and climate warming. Yet, despite rapidly growing research activity, a comprehensive synthesis of the scientific literature on Mediterranean marine invasions has been lacking. This study provides the first Mediterranean-wide combined bibliometric and topic-modeling analysis of invasive marine species research, using 3521 unique documents retrieved from Scopus and Web of Science. We quantify temporal growth in publications and citations, map the conceptual structure of the field through co-citation, co-word, and topic modeling, and reveal pronounced regional and thematic biases. Latent Dirichlet Allocation resolves 13 coherent topics, dominated by first records of non-native species, invasive macroalgae, alien species diversity, and ecological impacts, with strong signals for Lessepsian migration and climate-driven range shifts, particularly in the Eastern Mediterranean. Spatial and thematic analyses reveal pronounced regional biases, with invasion hotspots in the Aegean and Levantine seas contrasted by comparatively sparse coverage of western and central sub-basins, and notable gaps in predictive modeling and socioeconomic assessments. The results underscore the need to rebalance effort toward under-studied regions and themes, while leveraging existing collaboration networks and methodological advances to support MSFD (Marine Strategy Framework Directive) implementation, International Maritime Organization (IMO) instruments, and broader ecosystem-based management. The reproducible framework presented here offers a baseline for periodically tracking research evolution and guiding adaptive, transboundary governance of Mediterranean marine bio-invasions. Full article

Over the past decade, Building Information Modelling (BIM) has become increasingly adopted across the Architecture, Engineering, Construction, and Operation (AECO) industry. As its use in practice has expanded, BIM has also received growing scholarly attention. Existing research has largely concentrated on specific applications of BIM, such as construction management, sustainable building design, infrastructure development, and facility management. However, comparatively limited attention has been given to examining BIM implementation from a global perspective. This study addresses this gap by applying a scientometric approach to analyse global BIM implementation research published between 2004 and 2023. The analysis is conducted using co-authorship, co-word, and co-citation analysis to map the structure and development of the research field. A total of 1349 published articles were obtained from the Scopus database for the analysis. The study identifies the most productive and influential contributors to BIM implementation research, including leading researchers, research institutions, countries, subject areas, and academic journals. In addition, the analysis highlights several key thematic domains within global BIM research. These include topics related to Industry Foundation Classes (IFC), Internet of Things (IoT), Geographic Information Systems (GIS), Historic Building Information Modelling (HBIM), and Digital Twin technologies, which appear as prominent keywords within the BIM implementation literature. Beyond mapping these trends, this paper integrates dispersed scientometric evidence into a coherent global perspective, revealing how BIM implementation research has evolved, matured, and diversified across regions and disciplines. It also establishes a structured knowledge base that can serve as a benchmark for future comparative studies, performance assessments, and policy development initiatives in the digital construction domain. These findings provide valuable insights for researchers, practitioners, and policymakers by illustrating landscape of BIM-related research and highlighting potential directions for future investigation. Full article

The convergence of digital innovation and sustainability imperatives is transforming the architecture of agri-food systems, signaling not just a technological upgrade, but a reorganization of how food production, distribution, and governance are approached. This study presents a comprehensive bibliometric mapping of global research on sustainable and digital agri-food systems between 2004 and 2025, based on data from the Web of Science Core Collection and analyzed using the Bibliometrix within RStudio (Version: 2024.12.1+563). Through co-word analysis, bibliographic coupling, and temporal trend exploration, the study identified a marked surge in scholarly activity after 2020, driven by the alignment of digital innovation with major policy frameworks such as the European Green Deal and the Farm-to-Fork Strategy. Findings highlight Europe—particularly Italy, the Netherlands, and France—as the leading knowledge hub, demonstrating both institutional capacity and policy responsiveness. Thematic clusters revealed four dominant trajectories in recent research: digital governance, blockchain and traceability, circular economy integration, and ESG-based performance frameworks. These directions suggest a transition from narrow efficiency-centered approaches to more comprehensive, ethically informed, and technologically integrated agri-food systems. The study frames digitalization as both a technical infrastructure and a socio-organizational driver that reshapes transparency, accountability, and coordination within food value chains. It also outlines strategic entry points for improving interoperability, bridging digital divides, and advancing collaborative governance models across the agri-food sector. In addition to its empirical findings, the article contributes methodologically by positioning bibliometric analysis as a valuable tool for tracking major conceptual and structural shifts within food system research. In conclusion, digital transformation in agri-food systems is not merely about technological enhancement—it is a fundamental restructuring of processes, relationships, and governance mechanisms that define how food systems operate in an era of innovation, complexity, and sustainability challenges. Full article

As artificial intelligence (AI) becomes increasingly integrated into organizational processes to enhance efficiency, decision-making, and innovation, aligning AI systems with human teams remains a major challenge to realizing their full potential. Although academic interest is growing, the conceptual landscape of human–AI relationships remains fragmented. This study employs a bibliometric co-word analysis of 4093 peer-reviewed documents indexed in Scopus to map the intellectual structure of the field. Using a strategic diagram, we assess the relevance and maturity of five major thematic clusters identified in the field. Results highlight the structural dominance of Human–AI Interactions (Centrality: 1595), Human–AI Collaboration (1150), and Teaming and Augmentation (1131) as foundational themes, while Conversational AI (655), and Ethics and Responsibility (431) emerge as specialized domains. Based on the analysis, we propose a conceptual framework that classifies human–AI relationships into four categories—symbiotic, augmented, assisted, and substituted intelligence—according to the level of AI autonomy and human involvement. Rather than providing prescriptive guidance for practitioners, this framework is intended primarily as a scholarly contribution that clarifies the conceptual landscape and supports future theoretical and empirical work. While potential implications for organizational contexts can be inferred, these are secondary to the study’s main goal of offering a research-based synthesis of the field. Ultimately, our work contributes to academic consolidation by offering conceptual clarity and highlighting opportunities for future research, while underscoring the critical need for ethical alignment and interdisciplinary dialogue to guide future AI adoption. Full article

Automatically generated chains-of-thought (gCoTs) have become common as large language models adopt deliberative behaviors. Prior work emphasizes fidelity to internal processes, leaving explanatory properties underexplored. Our central hypothesis is that these traces, produced by highly capable reasoning models, are not arbitrary by-products of decoding but exhibit stable and practically valuable textual properties beyond answer fidelity. We apply a multidimensional text-evaluation framework that quantifies four axes—structural coherence, logical–factual consistency, linguistic clarity, and coverage/informativeness—that are standard dimensions for assessing textual quality, and use it to evaluate five reasoning models on the GSM8K arithmetic word-problem benchmark (~1.3 k–1.4 k items) with reproducible, normalized metrics. Logical verification shows near-ceiling self-consistency, measured by the Aggregate Consistency Score (ACS ≈ 0.95–1.00), and high final-answer entailment, measured by Final Answer Soundness (FAS0 ≈ 0.85–1.00); when sound, justifications are compact, with Justification Set Size (JSS ≈ 0.51–0.57) and moderate redundancy, measured by the Redundant Constraint Ratio (RCR ≈ 0.62–0.70). Results also show consistent coherence and clarity; from gCoT to answer implication is stricter than from question to gCoT support, indicating chains anchored to the prompt. We find no systematic trade-off between clarity and informativeness (within-model slopes ≈ 0). In addition to these automatic and logic-based metrics, we include an exploratory expert rating of a subset (four raters; 50 items × five models) to contextualize model differences; these human judgments are not intended to support dataset-wide generalization. Overall, gCoTs display explanatory value beyond fidelity, primarily supported by the automated and logic-based analyses, motivating hybrid evaluation (automatic + exploratory human) to map convergence/divergence zones for user-facing applications. Full article

Programmable mechanical metamaterials enable precise regulation of mechanical responses through geometric design, ushering in transformative paradigms for transformable structures. To systematically map the knowledge landscape and development trends in this field, this study employs knowledge mapping methods to analyze the current research status, core hotspots, and future directions of programmable mechanical metamaterials. During the research process, we expanded keywords using the litsearchr tool to optimize the retrieval strategy. Bibliometric tools, including CiteSpace 6.3.R3 and bibliometrix, were utilized to conduct multidimensional analyses on 2017 original papers related to mechanical metamaterials in transformable architecture from 2015 to 2025. These analyses encompass co-word analysis, co-citation clustering, and structural variation analysis. Key aspects include (1) identifying core journals and their attributes to clarify interdisciplinary dynamics, (2) mapping research themes and evolutionary trends through keyword analysis and clustering, and (3) pinpointing research hotspots and future directions based on citation networks and clustering results. The results reveal significant interdisciplinary characteristics, with core knowledge emerging from the intersection of materials science, mechanics, and civil engineering. Mathematical system theory provides a cross-scale modeling foundation for metamaterial microstructure design. The field is evolving from static structural design toward environment-adaptive intelligent systems. Future efforts should prioritize multi-physics collaborative regulation, engineering integration, and technical chain refinement. These findings offer a theoretical reference for the innovative development of transformable architecture. Full article

The aim of this study is to systematically capture, synthesize, and evaluate current research trends related to Automated Multiple-Choice Question Generation as they emerge within the broader landscape of natural language processing (NLP) and large language model (LLM)-based educational and assessment research. A systematic search and selection process was conducted following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines, using predefined inclusion and exclusion criteria. A total of 240 eligible publications indexed in the Scopus database were identified and analyzed. To provide a comprehensive overview of this evolving research landscape, a bibliometric analysis was performed utilizing performance analysis and scientific mapping methods, supported by the Bibliometrix (version 4.2.2) R package and VOSviewer (version 1.6.19) software. The findings of the performance analysis indicate a steady upward trend in publications and citations, with significant contributions from leading academic institutions—primarily from the United States—and a strong presence in high quality academic journals. Scientific mapping through co-authorship analysis reveals that, despite the increasing research activity, there remains a need for enhanced collaborative efforts. Bibliographic coupling organizes the analyzed literature into seven thematic clusters, highlighting the main research axes and their diachronic evolution. Furthermore, co-word analysis identifies emerging research trends and underexplored directions, indicating substantial opportunities for future investigation. To the best of our knowledge, this study represents the first systematic bibliometric analysis that examines Automated Multiple-Choice Question Generation research within the context of the broader LLM-driven educational assessment literature. By mapping the relevant scientific production and identifying research gaps and future directions, this work contributes to a more coherent understanding of the field and supports the ongoing development of research at the intersection of generative AI and educational assessment. Full article

Health equity and financial inclusion (FI) are at the core of the Sustainable Development Goals, yet their intersection remains critically under-studied. This bibliometric study maps this emergent and fragmented field by analyzing 24,140 publications from Scopus, PubMed, Web of Science, and Lens.org over five decades. Employing co-citation and co-word analysis via VOSviewer, chart research trends, governance frameworks, and policy linkages were systematically presented. The analysis reveals that less than 0.3% of the identified literature explicitly bridges financial inclusion with health outcomes, and direct investigations into health equity are virtually absent. Despite recent growth, fundamental gaps persist, including a lack of empirical studies on digital financial tools in low- and middle-income countries (LMIC) health contexts and insufficient focus on disadvantaged populations. As the first comprehensive empirical mapping of this nexus, this study underscores the urgency for scholarly and policy action to strategically leverage financial instruments for equitable healthcare access. The findings provide a foundational map and a structured agenda to consolidate this nascent field. Full article

Background/Objectives: Attention-deficit/hyperactivity disorder (ADHD) is a highly heritable neurodevelopmental condition, and pharmacogenetic studies aim to clarify interindividual variability in treatment responses and adverse effects. Despite increasing research, the field remains fragmented. This review provides a bibliometric analysis of ADHD pharmacogenetics (2005–2025), identifying its intellectual foundations, thematic structure, and global distribution. Methods: A bibliometric search was conducted in Scopus and Web of Science, retrieving 711 documents published between 2005 and July 2025. Data were analyzed with the Bibliometrix R package and Biblioshiny interface, applying bibliometric mapping, Bradford’s Law, co-word analysis, and thematic mapping. Only peer-reviewed journal articles, books, and book chapters were included to ensure scientific rigor. Results: The dataset shows a modest annual growth rate but strong impact, with an average of 29.6 citations per article. Highly cited works converge into four domains: (i) clinical guidelines and pharmacological treatments; (ii) cognitive heterogeneity and subtypes; (iii) neurodevelopmental and genetic mechanisms; (iv) environmental and health-related influences. Geographically, the United States leads with 24.8% of publications, followed by Brazil, China, and European countries. Keyword analysis reveals two main clusters: a clinical–therapeutic pole (methylphenidate, atomoxetine, child) and a genetic–molecular pole (dopamine transporter, SNPs, genotype). Conclusions: ADHD pharmacogenetics shows consolidation with strong clinical and genetic cores but limited integration of comorbidity, adult populations, and non-stimulant treatments. Future research should prioritize multi-center cohorts, multi-omic designs, and stronger international collaboration to advance precision medicine in ADHD. Full article

Employee retention remains a critical challenge in human resource management (HRM). Embeddedness theory offers a vital framework to understand retention dynamics, yet its development within HRM lacks systematic mapping. This study systematically examines the intellectual evolution, thematic clusters, and emerging trends of embeddedness theory in HRM from 1995 to 2025, addressing three research questions: (1) How has the theory developed over time? (2) What are the key research themes and conceptual structures? (3) Which emerging trends can inform future HRM practice? A bibliometric and science mapping analysis was conducted on 562 peer-reviewed articles from Web of Science using co-citation, co-word clustering, and keyword evolution techniques. Three distinct phases were identified: formative (1995–2005), expansion (2006–2015), and maturation (2016–2025). Findings reveal a dual focus on micro-level constructs, including job satisfaction and turnover intention, and macro-level themes, such as organizational commitment and performance. Recent trends highlight organizational and institutional contexts, cross-cultural perspectives, and post-pandemic dynamics. The study provides the first comprehensive longitudinal mapping of embeddedness theory in HRM, clarifying its intellectual structure, key contributors, and evolving research frontiers. These insights offer actionable guidance for scholars and practitioners, emphasizing the integration of multi-level and contextual factors to enhance employee retention in increasingly complex and globalized work environments. Full article

This study examines how Environmental, Social, and Governance (ESG) frameworks intersect with climate-related disasters and social inequality. While ESG practices are promoted to enhance corporate accountability and resilience, their implications for disaster risk reduction and equity remain underexplored. We conduct a structured literature review across four intersections: ESG–disasters, ESG–inequality, disasters–inequality, and their combined nexus. This systematic review analyzes 269 peer-reviewed studies published between 2015 and 2024 using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines and bibliometric co-word mapping to identify thematic clusters across ESG, disaster, and inequality research. Findings show that ESG has been widely analyzed in risk disclosure, green finance, and accountability but less in addressing inequality. Disaster–inequality studies highlight vulnerable groups at heightened risk, yet few works integrate all three areas. This review highlights the need for greater integration among ESG, disaster, and inequality frameworks. Ultimately, ESG should be understood not only as a reporting tool but also as a driver of equitable resilience. Full article

Generation Z is becoming a dominant market segment and an essential source of talent in the hospitality industry. Their digital fluency, sustainability expectations, and preference for meaningful and personalized experiences are increasingly reshaping service delivery, marketing strategies, and workforce management in the hotel industry. Following the PRISMA 2020 guideline, this review systematically analyzed 131 peer-reviewed studies published between 2011 and 2025. Performance analysis, science mapping through co-word and Leiden clustering, and trend analysis were conducted using VOSviewer (v1.6.20) and Biblioshiny in RStudio (v2025.09.2). The findings reveal a rapidly expanding but relatively young field, with key themes clustered around technology acceptance (AI, service robots), experiential and sustainable consumption, digital engagement (word-of-mouth, social media), workforce dynamics (person–environment fit, leadership, quiet quitting), and emerging topics such as experiential education, ethics, and self-efficacy. The study highlights the centrality of the Theory of Planned Behavior and technology acceptance models in explaining Gen Z’s decision-making, while also identifying substantial gaps in cross-cultural, ethical, and experiential research. Practical implications call hoteliers to integrate seamless digital services, robust sustainability initiatives, and adaptive talent management system to meet Gen Z’s evolving expectations. Full article

Background/Objectives: Uptake of remote cochlear implant (CI) services is feasible in clinical studies, but implementation into regular clinical practice is limited. Effective implementation requires demonstration of at least equivalent outcomes to in-person care. Use of outcome measures (e.g., specific tools such as speech tests or surveys) that are relevant and sensitive to both modes of service facilitates evidence-based provision of CI services. Following our previous study, which developed a core outcome domain set (CODS) (i.e., a set of CI outcome areas important to measure), this study aimed to (1) review current awareness and use of outcome measures implemented clinically, in-person, or remotely; and (2) provide recommendations for a pragmatic core outcome set (COS) to assess remote technologies for CI users. Methods: Expert Australian/New Zealand clinical CI professionals (n = 20) completed an online survey regarding use of, and familiarity with, pre-identified outcome measures mapping to the previously identified CODS. Respondents rated the outcomes’ usefulness, ease of use, trustworthiness, and recommendation for future use. Stakeholder workshops (clinician, n = 3, CI users n = 4) finalised recommendations. Results: Four of the six most regularly used and familiar measures were speech perception tests: BKB-A sentences, CNC words, CUNY sentences, and AB words. The long- and short-form Speech, Spatial, and Qualities of Hearing Scales (SSQ/SSQ-12) were the top-ranked patient-reported outcome measures (PROMs). These outcome measures were also perceived as the most trustworthy, easy to use, and likely to be used if recommended. Conclusions: A pragmatic COS, relevant to both remote and in-person delivery of CI services, including recommendations for measurement of service, clinician-measured and patient-reported outcomes, and how these might be developed in future, is recommended. Full article