This study employs a bibliometric approach to examine the development of research on halal product purchase intention from 2022 to 2026, analyzing 271 open-access journal articles retrieved from the Dimensions AI database and selected through PRISMAS-guided screening, with findings revealing that the field primarily centers on the Theory of Planned Behaviour, halal awareness, certification, religiosity, trust, perceived value, and consumer behavior; beyond mapping these thematic areas, the research identifies leading authors, institutions, countries, journals, keywords, and emerging trends, offering researchers a comprehensive overview of the intellectual structure and development of the field, while its originality lies in providing a systematic bibliometric evaluation that highlights both current hotspots and underexplored gaps, thereby serving as a valuable reference for future scholarly inquiry.

This study provides a comprehensive bibliometric analysis of 297 peer-reviewed articles From (2021–2025) about international student entrepreneurial objectives, with a focus on global cohorts and the digital economy. The primary objective is to map the field's intellectual structure, current trends, and research gaps while assessing how student psychological factors fit into macroeconomic frameworks such as the 13th Malaysia Plan and Malaysia's National Entrepreneurship Policy 2030 (DKN 2030). Using the keywords "entrepreneurial intention" and "international students”, the methodology systematically retrieved data from the Dimensions AI database in accordance with PRISMA 2020 requirements. This process reduced an initial pool of 22,248 records to a refined dataset that was assessed using VOSviewer. According to this bibliometric analysis, Malaysia and Indonesia dominate the world in production. Thematic clustering indicates that while the Theory of Planned Behavior (TPB) remains the essential theoretical framework, new research is emphasizing institutional support, psychological resilience, and digital revolution. The findings align with DKN 2030, suggesting that institutional integration is necessary to transform academic presence into long-term entrepreneurial engagement.

This study acknowledges the fragmented nature of blended learning and Education 4.0 research across various disciplines, technologies, and educational contexts, and aims to provide a bibliometric overview of publication trends, thematic evolution, collaboration patterns, and future research directions. To do this, PRISMA-based bibliometric techniques using Biblioshiny and RStudio were applied, analyzing 2,155 Scopus-indexed publications published between 2022 and 2025 to identify publication trends, leading journals, country and institutional contributions, collaboration networks, conceptual structural map, keyword cloud, and keyword co-occurrence patterns. It found a steady growth in publications, as research numbers were rising from 576 in 2023 to 605 in 2024, indicating increasing interest among scholars in this area. The findings also reveal the dominance of China, the USA, and the UK in publication volume and global collaboration, while blended learning, higher education, and e-learning were the most prominent themes. This study offers implications for policymakers and educators to strengthen digital infrastructure, institutional readiness, and inclusive pedagogical design. Finally, this study acknowledges it’s limitations of Scopus-only coverage, English-language bias, and keyword restrictions, and suggests multi-database, multilingual, and mixed-method approaches for future research.

Research into the propagation of waves in elastic media is fundamental for understanding how elastic waves perturb particles around their equilibrium positions without causing permanent deformation. Despite its importance in geophysics, materials science, and structural analysis, a consolidated mapping of global research progress in this area remains limited. To address this gap, this study conducts a comprehensive scientometric analysis using the Scopus citation database to quantify and visualize research trends in elastic wave propagation from 2000 to 2024. The methodology was validated by employing robust scientometric tools such as VOS viewer and Biblioshiny to ensure accurate keyword co-occurrence, citation, and collaboration network analyses. Key findings reveal a steady increase in publications, with China, India, the United States, and Italy emerging as leading contributors. Dominant research themes and author networks highlight the dynamic evolution of the field. This study provides an updated roadmap for researchers to identify collaboration opportunities, align their work with emerging topics, and strategically enhance the visibility and impact of future research in wave propagation in elasticity.

The topic of behavioral segmentation has emerged as an important research area in e-commerce since online stores increasingly depend on customer data for personalized, recommendation, retention, pricing, and marketing decisions. Behavioral segmentation is focused on observable actions such as browsing, clicking, buying, cart interaction, channel use, response to discounts, churn, and engagement. The existing studies are split across different methods, data sets, behavioral variables, and application areas making it difficult to understand the role that behavioral segmentation plays in e-commerce. The reviewed papers presented below are a systematic review of 44 studies in e-commerce behavioral segmentation published between 2016 and 2026. The selected papers were analyzed according to the selection process, inspired by the PRISMA framework. The selected papers were reviewed along with their segments, behavioral data sources, application areas, and limitations. Behavioral segmentation techniques are dominated by RFM-based models, clustering algorithms, and machine learning. Deep learning, explainable AI, dynamic segmentation, and recommendation models are starting to dominate. Most of these studies are based on transactional data while clickstream behavior, customer journey signals, omnichannel interactions, privacy-aware modeling, and real-time segmentation are understudied. From a managerial perspective, behavioral segmentation is connected to customer retention, personalized marketing, recommendation systems, churn prediction, estimation of customer value, and strategic decision making. This review summarizes the current state of behavioral segmentation in e-commerce and outlines some directions for future research toward more dynamic, explainable, ethical, and business performance-oriented customer analytics.