Up to 78% of oil and gas megaprojects fail to deliver on initial commitments, yet maintenance readiness is routinely deferred until after construction decisions are already irreversible. This study investigates the previously unexamined link between maintenance readiness and interface management across the capital-project life cycle through a systematic literature review combined with a 30-year longitudinal analysis of 941 anonymised interface lessons-learned records spanning 21 countries. Root causes were classified using ISO 14224 of 2016, and predictive models were validated through stratified coding (Cohen's κ = 0.81) and five-fold cross-validation. The analysis revealed that five root causes drove 81.2% of all failures, including slow interface identification (18.5%), uncertain technical definitions (17.4%), weak governance (17.4%), unclear scope and ownership (16.3%), and cross-discipline communication breakdowns (11.6%), with key effects being performance impact (41.8%) and schedule delay (25.7%), while 33.0% of records were classified as high or critical risk and approximately 40.3% originated in Front-End Engineering Design. The Interface Criticality Index (ICI) correlated strongly with high-risk classification (r = 0.83), and the Random Forest classifier achieved ROC-AUC = 0.848 and PR-AUC = 0.850 respectively. The findings conclude that maintenance readiness should be established as a distinct, front-end-loaded discipline rather than a post-handover activity, as embedding readiness controls upstream converts lessons-learned records from retrospective artefacts into proactive design constraints, enabling early intervention before costly lock-in.

This systematic review synthesizes 40 peer-reviewed studies to examine the role of inclusive finance and institutional governance in FinTech adoption in Pakistan's banking sector. While user-centric behavioural models are the dominant narrative in global discourse, this review highlights the underappreciated role of institutional trust, regulatory design, and structural inclusion in the scalability of FinTech ecosystems. The paper identifies four thematic clusters using PRISMA and TCCM frameworks, namely, user-level drivers, governance enablers, financial inclusion mechanisms, and integrated adoption frameworks. Findings suggest that inclusion should be reimagined not just as an objective but also as a prerequisite to digital finance, and quality of governance directly moderates trust and adoption behaviour. The study presents an original conceptual framework that links ecosystem-level conditions and adoption dynamics, highlighting the need for multi-level theoretical approaches that incorporate behavioural, institutional, and infrastructural dimensions. Implications are drawn for policymakers, FinTech innovators, and financial regulators who are looking for inclusive, trusted, and sustainable digital finance solutions in emerging markets.

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.

The purpose of this study is to review global research trends in digital marketing as it refers to micro-entrepreneurs in a bibliometric methodology. An extensive search of open-access publications found in the Dimensions AI database during the period 20242025 with Leading authors, institutions, countries, and thematic clusters were visualized using VOSviewer performance, co-citation, and co-occurrence analysis. The results indicate that Asia, especially China, India, Malaysia, and Indonesia have emerged as a major source of this body of literature. The three key areas of research were identified as global digital strategies, new social media analytics, and influencer marketing to engage consumers. Despite these developments, gaps in the research on micro-entrepreneurs in developing nations and in qualitative research perspectives remain. Overall, The study draws different articles into rational subject groups and is accompanied by a conclusion that the body of existing research offers both theoretical integration and practical insight to entrepreneurs and policymakers willing to use digital marketing to promote their small businesses growth in the long term.

This study aims to analyze how the application of Scrum improves project development in companies and positively impacts the organizational environment. The research was conducted through a review of scientific articles published between 2013 and 2024, allowing the identification of the main motivators, challenges, and benefits of the agile methodology in organizations. The results show that Scrum improves internal communication, increases delivery efficiency, and enhances the quality of products and processes, delivering value to stakeholders. Furthermore, the analysis revealed that implementing the methodology depends on factors such as organizational culture, team training, and the team's understanding of agility. As a limitation, the study identified temporal variation in the articles: their distribution over the years was not homogeneous, and there was no in-depth quantitative evaluation to accurately measure the impacts of applying Scrum. Based on these conclusions, it is suggested that future research explores the integration of Scrum with other agile methodologies, conduct a comparative analysis with traditional methods, examine its application in specific sectors, and assess its impact on organizational culture.

Artificial Intelligence for sustainable education and green technologies has been immediately increasing awareness in the scholarly community, most of the studies address lone threads such as adaptive learning, smart energy management and sustainability without a contracted bibliometric integration. In this study, PRISMA-conducted bibliometric and network analysis exhaustively evaluated 1,699 Scopus-indexed papers (2020–2025) covering AI, sustainable education, and green technology to close this gap. Key findings include bibliographic coupling, co-citation and keyword co-occurrence patterns that emphasize sustainable development, green innovation and AI-enabled pedagogy, as well as strong annual growth (30.83%), prominent outlets (e.g., Sustainability), highly productive institutions (e.g., Bucharest University of Economic Studies), and coordination structures across authors and nations. The analysis maps widely researched fields and emerging themes, emphasizing worldwide North-South partnerships asymmetries, and articulates a roadmap for future work combining AI-driven educational revolution with low-carbon, resource-efficient technologies aligned to SDG 4 and SDG 13. This synthesis presents extensive evidence to assist policy and practice toward inclusive, data driven and environmentally responsible education systems.