Edelweiss Applied Science and Technology
It is a interdisciplinary journal that is indexed by Scopus/Scimago and Google Scholar. Impact Scopus Indexed Scimago (Q3) 1.952 2yr mean citedness (OpenAlex)
Identification of adulterated white pepper powder with roasted rice by using near-infrared hyperspectral imaging
The substitution of powdered white pepper on the commercial market with similar, but cheaper powders extracted from various food products can make it more profitable, but reduce its quality. Near-infrared hyperspectral imaging (NIR-HSI) is a technique that has been successfully used to detect contamination in other food products. Therefore, NIR-HSI was tested on powdered white pepper that had been adulterated with various levels of roasted rice powder, using partial least squares discriminant analysis (PLS-DA), support vector machine classification (SVMC), partial least squares regression (PLSR), and support vector machine regression (SVMR) methods to test whether adulteration could be detected, and if so, at what level. The results showed that the highest predictive accuracy of classification was 100% by using PLS-DA. The calibration model was also developed to determine the level of adulteration in white pepper powder by roasted rice powder. The SVMR model gave the highest predictive accuracy with a coefficient of determination for prediction (R2p) of 0.95, and root mean square error of prediction (RMSEP) of 6.82%. The results indicate that NIR-HSI has the potential for detecting adulteration of powdered white pepper and can be successfully applied in food quality control for ensuring consumer confidence.
Navigating the need for mobile apps in higher education: The Mediating role of digital transformation
In today's fast-paced and interconnected digital era, universities must provide digital academic support services to facilitate effective learning for students. Universitas Indonesia (UI), as part of higher education, has implemented comprehensive academic digitalization, but most of these are web-based. Since mobile apps are growing, the need for such applications has become necessary. This study aims to analyze the digital transformation process of campus support services at UI and assess the need for mobile apps, which are limited to three applications at UI: SIAK-NG, EMAS, and SIGMA. Data collection was obtained through direct surveys distributed to 589 UI Vocational students. Data analysis was conducted quantitatively using Structural Equation Modeling-Partial Least Squares (SEM-PLS). The findings indicate that digital transformation significantly moderates the relationship between user experience and students' need for mobile apps. The model demonstrates a good fit. It is confirmed that user experience has a significant and positive impact on digital transformation, and digital transformation significantly and positively influences students' need for mobile apps. The need for mobile apps in higher education continues to grow alongside advancements in technology and increasing student expectations for faster, more accessible services.
Problems in the adoption of information technology service management models: A systematic literature review
This systematic literature review aims to identify and categorize the recurrent problems organizations face during the adoption of Information Technology Service Management (ITSM) models such as ITIL, COBIT, and ISO/IEC 20000. Following the PRISMA guidelines, a systematic review of 72 studies published between 2020 and 2025 was conducted. The PICO strategy was used to define the search string, and studies were sourced from databases including Scopus, EBSCOhost, ScienceDirect, and IEEE Xplore. The analysis reveals a refined taxonomy of adoption problems across six dimensions: Strategic, Organizational, Technical, Resources, Operational, and Contextual. The most prevalent challenges are a lack of top management commitment (78%), resistance to organizational change (82%), and insufficient specialized skills (71%). Emerging challenges related to Agile-ITSM integration (e.g., DevOps) and adoption in SMEs and startups are also identified. The findings indicate that successful ITSM adoption is hindered more by strategic and organizational factors than by technical ones, requiring a holistic approach to change management. This study provides a structured framework for practitioners to anticipate and mitigate implementation risks. It underscores the need for strong executive sponsorship, cultural change initiatives, and tailored strategies for different organizational contexts to increase the likelihood of successful adoption.
Knowledge management capabilities and organizational performance in a North African context: The mediating role of business model innovation
This study investigates the impact of knowledge management capabilities (KMC) on organizational performance, emphasizing the mediating role of business model innovation (BMI). Drawing on the perspective of KMC, the research conceptualizes knowledge infrastructure as comprising technology, structure, and culture, and knowledge process architecture as encompassing acquisition, conversion, application, and protection. Utilizing quantitative methods, this research gathered data through questionnaires from a sample of 391 managers working in banks and insurance companies in Tunisia, a North African country, and analyzed the data using Amos 10. The data were analyzed using Amos 10 with the maximum likelihood estimation method (LISREL). The results demonstrate that both knowledge management capabilities and business model innovation significantly enhance organizational performance, particularly through organizational structure, technology, knowledge conversion, application, and protection. Furthermore, the findings confirm that BMI mediates the relationship between knowledge management capabilities and organizational performance. The study extends an existing pool of knowledge regarding the large-scale influence of innovation on firm performance. It also provides valuable insights for financial institutions seeking to improve their performance by fostering innovation activities through effective utilization of BMI.
Technical and organizational challenges in the adoption of large language models within enterprises: A comparative study of cloud, on-premises, and hybrid environments
This study examines the technical and organizational challenges Arab enterprises face when adopting Large Language Models (LLMs) across cloud, on-premises, and hybrid deployment environments, aiming to identify how infrastructure choices influence institutional readiness and implementation success. A mixed-methods approach was employed, combining quantitative data from structured surveys with qualitative insights from expert interviews and policy analysis. Statistical techniques, including ANOVA and regression analysis, assessed relationships between deployment environments, technical barriers, governance factors, and institutional performance. Technical challenges, particularly integration complexity, cybersecurity concerns, and resource constraints, emerged as the strongest predictors of institutional performance. Organizational factors such as leadership support and governance readiness function as enabling conditions. The hybrid deployment model demonstrated context-sensitive advantages, offering flexibility and control while requiring advanced coordination. Successful LLM implementation requires alignment between infrastructure choices and organizational maturity levels, with deployment strategies tailored to institutional capabilities. Organizations should prioritize developing AI governance frameworks, investing in specialized training programs, and selecting deployment models matched to their technical and organizational readiness, particularly relevant for enterprises undergoing digital transformation in the Arab region.
Drivers of social responsibility accounting adoption in Vietnam’s coal industry: Empirical evidence from 23 enterprises amid the energy transition
Amid accelerating global commitments to the green transition and sustainable corporate governance, coal mining enterprises, one of the most environmentally intensive sectors, face increasing pressure to internalize socio-environmental responsibilities. Social Responsibility Accounting (SRA), defined as an accounting approach that identifies, measures, and reports social and environmental impacts, has become a key mechanism supporting transparency and accountability in such industries. This study examines the determinants influencing SRA adoption in 23 Vietnamese coal mining enterprises using a quantitative research design with 194 respondents. Drawing upon Institutional Theory, Stakeholder Theory, and Contingency Theory, the analysis tests the effects of five determinants: legal framework, environmental cost management, managerial perceptions, business characteristics, and accountants’ qualifications. Multiple regression results reveal that all five determinants significantly predict SRA adoption, with the legal framework exerting the strongest influence. The findings suggest that Vietnam’s evolving regulatory environment and its national green growth agenda are reshaping accounting practices in heavy industries, positioning SRA as both a compliance requirement and a strategic tool. The study contributes sector-specific empirical evidence from a carbon-intensive industry and provides practical insights for policymakers, enterprise managers, and professional bodies regarding the development of legal guidelines, capacity-building programs, and mechanisms to enhance the effectiveness of SRA implementation.
Governance, compliance, and digital transformation: Pathways to sustainable people’s credit funds in Vietnam
This study investigates the critical factors influencing the sustainability of People's Credit Funds (PCFs) in Vietnam, which are vital cooperative institutions for promoting financial inclusion in rural areas. Utilizing structural equation modeling (SEM) and survey data collected from 202 PCF employees across Northern, Central, and Southern Vietnam, the research assesses the impact of Governance Structure, Strategic Planning, Financial Compliance, and Information Management on institutional sustainability. The findings reveal that Financial Compliance has the most significant influence on PCF sustainability, followed by Information Management. Governance Structure and Strategic Planning also demonstrate positive, albeit smaller, significant effects. Notably, Information Management is found to partially mediate the relationship between Governance Structure and institutional sustainability, adding depth to the understanding of these interconnections. Based on these results, the study recommends that PCFs adopt International Financial Reporting Standards for Small and Medium Enterprises (IFRS for SMEs), invest in digital platforms, standardize governance practices, and implement risk-based strategic planning. These findings not only contribute to the existing microfinance literature but also offer practical, actionable insights for policymakers to enhance the resilience and effectiveness of PCFs in Vietnam's transitional economy.
Evaluation of the ethanolic extract of Mondai whitei (Hook.f.) Skeels for their antioxidant, anti-inflammatory and antidiabetic properties
This research evaluated the antidiabetic, antioxidant, and anti-inflammatory properties and phytochemical profile of the ethanolic extract from Mondai whitei roots via in silico, ex vivo, and in vitro approaches. The antioxidant activity (ferric-reducing power; DPPH radical scavenging, catalase, lipid peroxidation, and superoxide dismutase), antidiabetic activity (α-glucosidase and α-amylase inhibition), and anti-inflammatory effects (protein denaturation, proteinase inhibition, and membrane stabilization) were determined via in vitro tests. Ex vivo, liver homogenate was exposed to FeSO4-induced oxidative stress and treated with graded concentrations of the extract. The extract scavenged DPPH in a concentration-dependent manner and exhibited greater reducing power than ascorbic acid at 200 μg/mL. In FeSO4-treated tissue, the extract restored oxidative stress markers (malondialdehyde, SOD, and catalase) toward baseline, indicating protection against lipid peroxidation. The extract inhibited α-amylase (IC50 = 81.597 ± 0.776 mg/mL) and α-glucosidase, and demonstrated anti-inflammatory effects via the inhibition of protein denaturation, membrane stabilization, and proteinase inhibition (IC50 = 58.715 ± 1.996 μg/mL). HPLC identified seventeen compounds, with 2-chloro-4-methoxybenzaldehyde and vanillin being the most abundant. In silico docking of these constituents against α-glucosidase revealed that α-amylase, dipeptidyl peptidase IV strongly predicted the binding of chloropropacin, propacin, and yohimbine. Collectively, these findings suggest that the antidiabetic, antioxidant, and anti-inflammatory properties of M. whitei arise from its secondary metabolites, highlighting the role of the extract and its constituents as potential leads for managing diabetes and oxidative-stress–related inflammation.
Systematic literature review: Theory perspective in green procurement
This paper presents a literature review of the theoretical background in green procurement research, aiming to enhance comprehension of the role of theory in the sustainable purchasing decision-making process. According to the PRISMA 2020 guidelines, we searched peer-reviewed journal articles that directly applied theory in Scopus and Web of Science, and identified 52 articles. Descriptive statistics indicate a significant increase in the number of publications based on theory since 2015, with a notable concentration in journals focused on sustainability and operations. The most prevalent theories are the RBV/NRBV, Institutional Theory, and Stakeholder Theory, while Contingency Theory, Transaction Cost Economics, Dynamic Capabilities, and Social Exchange appear to be less widespread. One-third of the studies combine two or more theories; the majority of these are single-lens-based studies. The field is both internal and external in its explanations, and theoretically narrow, with very little dependence on circular economy, sociotechnical, and behavioral approaches. To augment cumulative knowledge and practice, our suggestions are diversified and integrative theorizing, greater geographic coverage, and longitudinal/mixed-method design. The scholars and practitioners are enlightened by these lessons to develop stronger and more theory-oriented procurement research agendas.
Examining the determinants of cloud computing adoption among the Kuwaiti SMEs
Cloud computing (CC) has emerged as a promising technology for supporting business operations, particularly for small and medium enterprises (SMEs) that face financial and technical resource constraints. Despite its potential benefits, the level of cloud computing adoption (CCA) among SMEs in Kuwait remains relatively low. This study aims to investigate the factors influencing the intention to adopt cloud computing (IACC) among Kuwaiti SMEs by employing a research model grounded in the Technology–Organization–Environment (TOE) framework. A quantitative methodology was adopted, and data were collected through a survey of SME owners and managers in Kuwait. The proposed model examines the effects of relative advantage, security concerns, top management support, competitive pressure, trading partners' pressure, and entrepreneurial orientation on IACC, with social influence tested as a moderating variable. The findings reveal that technological, organizational, and environmental factors significantly affect SMEs' intentions to adopt cloud computing, while social influence strengthens several of these relationships. The study concludes that enhancing managerial awareness and addressing security concerns can accelerate CCA. These findings offer valuable theoretical contributions and provide practical insights for policymakers and SME decision-makers in Kuwait and similar emerging economies.
Employment of ash derived from agricultural waste for sustainable cement replacement in flowing concrete
The increasing amounts of agricultural residues, including rice husks and sugarcane bagasse in Indonesia, present an escalating threat to environmental quality and public health if not managed properly. As reported by the Central Bureau of Statistics in 2024, rice husk waste has reached approximately 10.5 million tons, while sugarcane bagasse accounts for about 7.41 million tons. According to previous studies, ashes from sugarcane bagasse and rice husks in concrete can enhance certain mechanical properties while promoting eco-friendly construction practices. These ashes exhibit pozzolanic behavior, which makes them suitable for partially replacing cement, thus reducing the carbon footprint of concrete production. This study investigates alternative materials substituting a portion of cement with ashes derived from sugarcane bagasse and rice husks to determine how they contribute to the properties of flowing concrete, utilizing Sika-Viscocrete as a superplasticizer. The flowing concrete was evaluated based on its slump flow and absorption. In this investigation, the slump flow test was carried out following ASTM International [1] while the absorption test was executed according to SNI 03-6433-2000. The results showed that all slump flows met the standard requirements, with the minimum absorption value being 3.34% at a variation of 12.5% rice husk ash.
Lean manufacturing practices, corporate social responsibility and sustainability performance: An empirical study on Tunisian manufacturing companies
Given the significant contribution of manufacturing sectors to major environmental issues worldwide and the growing attention directed toward manufacturing SMEs in developing countries, this study investigates the impact of lean manufacturing practices (LMPs) on corporate social responsibility (CSR) activities and corporate sustainability performance (CSP) within manufacturing SMEs in Tunisia. We employed a survey questionnaire to collect data from managers and professionals working in 256 manufacturing SMEs and used Partial Least Squares Structural Equation Modeling (PLS-SEM) to analyze the data. Moreover, we examined the role played by these practices in fostering corporate sustainability. We also examined the links between LMPs, CSR activities, and CSP, considering CSR as a mediating factor between LMPs and CSP. Our findings indicate that LMPs enhance CSP both directly and indirectly through CSR practices. LMPs positively affect CSR activities within manufacturing SMEs in Tunisia. This investigation contributes to the limited body of literature on LMPs, CSR, and CSP and serves as a valuable resource for practitioners. This study provides Tunisian managers and policymakers with valuable insights to better address sustainability challenges.
Developing an AI-assisted multimodal critical reading instructional model to enhance problem-solving and metacognitive literacy
The low learning outcomes in multimodal critical reading across 12 Study Programs in the Indonesian Language Course constitute a major issue among four universities in Bali. An effort made to address the low level of students’ critical thinking skills was the development of the AI-Assisted Outcome-Based Hypothesis Learning (AI-OBHL) model. This model was designed to enhance students’ critical thinking abilities in analytically, evaluatively, and reflectively understanding multimodal texts. This study employed the Research and Development (R&D) method, with the model design stages referring to the ADDIE framework. The AI-OBHL model comprises six main syntax stages: (1) Determination of Learning Outcomes, (2) Exploration of Problems in the Text, (3) Formulation of Hypothesis, (4) Testing of Hypothesis, (5) Sharing and Response to Arguments, and (6) Reflection of Learning Outcomes. The results of the model’s content and construct validity showed that Aiken’s V values were highly valid. The effectiveness of the OBHL model was demonstrated through a significant improvement in students’ critical reading skills of multimodal text, categorized as a large effect, compared to the control group, which showed only a small to moderate effect. These findings reinforce the urgency of implementing AI-OBHL as a strategic innovation in multimodal-based critical reading learning.
Prospects for the use of paper waste in the production of biochar
The transition of the economy to the processing of finished products is an important strategy of environmental management. Paper waste is one of the most common types of waste and is recyclable. There are studies on the possibility of recycling paper waste into biochar, but the impact of this biochar remains a poorly understood topic. This article presents the first results of the evaluation of biochar from office paper waste as a soil improver. Biochar was obtained by pyrolysis at a temperature of 800 °C for 1 hour. The analysis of the properties of biochar was carried out according to the methods of the international standard IBI. The yield of biochar compared to the weight of the original paper was about 31.5%. Biochar, characterized by a low content of carbon and nutrients. Biochar did not contain heavy metals, which means it is environmentally friendly. Biochar had a pH of 12.47, which can have a beneficial effect when applied to acidic soils. Additional tests are needed to obtain complete results, but it can be concluded that recycling office paper into biochar is an environmentally friendly way to recycle paper and create climate projects based on it.
Threat hunting the silent killers - behavior-based execution attacks
Attack methods that produce adversarial-controlled code and scripts executing on a local or remote server are referred to as execution. Malicious code-running techniques are combined with techniques from other approaches to accomplish more general objectives, such as data theft or network infrastructure reconnaissance. Adversaries execute a PowerShell script to conduct remote system discovery using remote access tools. In this research, the authors focus on three unique threat hunting methods of execution. The first hunt method is the use of a command scripting interpreter, where adversaries execute commands, scripts, or binaries using a variety of interfaces and languages. The second technique for hunting is focused on the execution of system services, where adversaries exploit the Windows Service Control Manager to run malicious payloads and commands. The last method of hunting for harmful files is called "user execution," in which attackers tempt a victim to open a malicious file to acquire execution. The authors implemented Elasticsearch Security Incident and Event Management (SIEM) systems to ingest logs gathered from various sources and perform Kibana, Lucene, and domain-specific language searches for the threat hunts.
Impact of isoflavones and probiotics on human gut health and bone health: A review
This review aims to evaluate how isoflavones and probiotics influence gut microbiota, immunity, and bone health, and to examine the bioactive and nutritional properties of soybean and sorghum for developing synergistic, functional, value-added probiotic beverages. This review employed a systematic literature search across scientific databases to gather studies on gut microbiota, isoflavones, probiotics, and functional beverages. Relevant findings were analyzed, compared, and synthesized to evaluate bioactive interactions, health impacts, and the functional potential of soybean–sorghum probiotic formulations. The findings highlight the crucial role of gut microbiota in immunity and disease prevention, showing that disruptions contribute to major disorders such as obesity, diabetes, and cardiovascular disease. Isoflavones significantly influence gut microbial balance by promoting beneficial bacteria and inhibiting pathogens, while also supporting bone health through metabolites like equol. Probiotics similarly enhance hormonal, immune, and digestive functions. Combined, probiotics and isoflavones offer synergistic benefits, improving calcium absorption, gut modulation, and metabolic health. Soybean and sorghum bioactives demonstrate strong potential for functional probiotic beverage development. Isoflavones and probiotics synergistically enhance gut microbiota balance, immunity, and bone health, supporting the development of nutritious functional beverages. Their combined metabolic and bioactive effects show strong potential, though further research is required.
Scientific landscape of organic waste management in Asian countries (1999-2025): A comprehensive bibliometric analysis
Organic waste management is a significant challenge for Asian countries. Research on this issue has grown rapidly; however, a comprehensive study mapping the development of research on organic waste in this region has not been conducted. This bibliometric analysis examines research trends in Asian countries from 1999 to 2025. The analysis provides insights into international publication distribution, author and institutional output, collaboration patterns, citation metrics, and research topic development over the studied period. The findings indicate that India, China, and Indonesia are the primary contributors, supported by productive institutions such as Universitas Indonesia. Many scientific studies are published in Scopus Quartile 1 journals. Notable authors in this field include Lee, Dutt, Singh, and Tiwari. The use of Black Soldier Fly for bioconversion and microbial processes is extensively cited. The scientific community frequently researches composting, anaerobic digestion, and vermicomposting. Currently, research emphasizes an integrated approach rather than conventional methodologies. These findings establish a solid foundation for future investigations, enhance regional scientific capabilities, and facilitate the development of better organic waste management solutions for Asian countries.
Impact of diversity on organizational well-being: An exploratory study on the perception of the relationship between DEI and well-being in different business contexts
This study aims to conduct an exploratory analysis of the perception of the relationship between Diversity and Organizational Well-Being in companies at different levels of maturity in Diversity, Equity, and Inclusion (DEI). The literature suggests that companies with DEI practices may more easily achieve higher levels of Organizational Well-Being. It is also acknowledged in the literature that larger companies may more effectively implement inclusive practices within their teams, not only because they tend to have more diverse teams but also due to their greater potential for investment in this area. Given that the majority of the Portuguese business landscape is composed of small and medium-sized enterprises (SMEs), this study holds particular relevance within the national context. Therefore, this work seeks to embody an exploratory study, considering the limitations of time and sample size, which may provide insights into the subject matter to be further explored in a doctoral thesis, where generalizable results can be established.
Determinants of firm value in the emerging economy: The roles of intellectual capital, financial performance and firm-specific characteristics
The purpose of this paper is to investigate the relationship between intellectual capital (IC) and firm value in an emerging economy, with a focus on the mediating role of financial performance and the moderating effect of firm-specific characteristics. This study uses panel data from 200 listed companies in Vietnam from 2017 to 2023 and employs structural equation modeling (SEM) combined with Dominance Analysis to assess the relative importance of factors and integrate causality research. The research findings indicate that financial performance plays a significant mediating role in transmitting the positive effect of IC on firm value, while the direct effect of IC is negative. This suggests that the value created by IC is not being fully recognized and reflected in stock prices in the short term. Among the components of IC, capital employed efficiency has the strongest contribution to firm value, followed by human capital efficiency and structural capital efficiency. The study, therefore, concludes that the key channel for transforming intellectual capital into firm value is improving the financial performance of businesses. The research results offer important practical implications for businesses in emerging markets in strategically investing in intellectual capital development, optimizing financial performance, and strengthening organizational structure to achieve sustainable firm value growth.
Sustainable tourism development – through case studies in Lao Cai province
Based on the theory of sustainable tourism development, combining the analytical framework and evaluation criteria to approach three contents (development in terms of scale/quantity; quality of tourism services; and structure of tourism types and services). Based on the theoretical framework of the research thesis, the author conducted a random survey of 400 tourists in typical Lao Cai tourist areas (Sa Pa, Bac Ha, Bat Xat...) and concluded: (1) Although the total number of customers, products, and types of tourism are diverse, suitable, and increasing every year, there are still limitations that do not meet the needs of tourists at the peak of the tourist season, causing consequences for the brand, image, and environment at tourist destinations; (2) The quality and connection of services are assessed by tourists as not being as "expected" compared to the promotion and communication of typical tourism products and types of Lao Cai (from service quality, connection, and amenities), causing "negative" impacts on tourist destinations; (3) The structure of tourism products and types is not really diversified towards sustainable products to meet the needs of tourists.
Conditional process model: Technology readiness, work motivation, subjective well-being, and moderation of work ethic in improving lecturer performance in the digital ERA
This study develops and tests a conditional process model examining the effect of Technology Readiness (TR) on lecturer performance, mediated by Work Motivation (MOT) and Subjective Well-Being (SWB), and moderated by Work Ethic (WE). An explanatory sequential mixed-methods design was employed. Quantitative data were collected from 115 lecturers in LLDIKTI Region IX and analyzed using Conditional Process Analysis with SmartPLS 4.0, while qualitative data were obtained through focus group discussions with 12 senior lecturers and analyzed thematically. The findings indicate that TR does not have a significant direct effect on lecturer performance but indirectly influences performance through its positive effects on MOT and SWB. Both MOT and SWB significantly enhance performance and serve as key mediating variables. In addition, WE negatively moderates the relationship between MOT and performance, suggesting that a stronger work ethic may weaken the positive impact of motivation. Qualitative findings highlight generational differences in technology adaptation and the importance of institutional support. Overall, this study demonstrates that psychological factors are more immediate drivers of lecturer performance than technology readiness alone, implying that lecturer development strategies should integrate digital capability enhancement with initiatives that strengthen motivation and psychological well-being in the digital era.
Exploring the link between innovation and digital trade exports: Cross-country firm-level evidence
This study examines the relationship between firm-level innovation and participation in digital trade exports, with particular attention to heterogeneity across firm sizes. Using cross-country firm-level data from the World Bank Enterprise Surveys covering 94 countries during 2022–2025, the analysis focuses on manufacturing firms. Innovation is measured using both input indicators (R&D investment) and output indicators (new products and improved processes). Probit and instrumental variable (IV) estimations are employed to address potential endogeneity, with sector–location average innovation used as an instrument. The results show that innovation significantly increases the likelihood of engaging in digital trade exports. Innovative firms are more likely to export digitally, even after controlling for endogeneity. However, the effect is heterogeneous: innovation has a strong positive impact for small and medium-sized enterprises (SMEs), while the effect is weaker or negative for large firms. Access to foreign technology, internet connectivity, and financial resources further shape digital export participation. Innovation plays a critical role in enabling firms to participate in digital trade, particularly among SMEs. The findings suggest that policies promoting R&D, digital infrastructure, and financial access, especially for SMEs, can foster more inclusive participation in global digital markets.
Enhancing learning activities and problem-solving skills of students with disabilities through collaborative problem-solving models
This study aims to investigate the effectiveness of the Collaborative Problem Solving (CPS) model in enhancing learning activities and problem-solving skills among students with disabilities in special schools. A quantitative approach was employed, utilizing a quasi-experimental, nonequivalent pretest–posttest control group design. The sample consisted of 130 students, divided into an experimental group (n = 65), which received CPS-based instruction, and a control group (n = 65), which received conventional teaching methods. Data collection involved pretests and posttests to assess problem-solving skills, complemented by systematic observations of learning activities. Pretest results indicated no significant difference between the experimental and control groups (p = 0.648), demonstrating comparable initial abilities. Posttest results revealed that the experimental group achieved significantly higher scores (M = 81.54, SD = 6.05) compared to the control group (M = 75.92, SD = 7.65), with a statistically significant difference (t = 4.641, p = 0.000). Observational data further indicated increased student engagement, collaboration, and active participation within the CPS group. The findings suggest that the CPS model is effective in improving learning activities and problem-solving skills among students with disabilities. Implementing CPS as an instructional strategy in special education settings can foster active learning, enhance collaboration, and lead to improved cognitive outcomes. These results support the integration of CPS into teaching practices to promote more inclusive and effective educational environments for students with diverse learning needs.
Production of H2-rich syngas and CO2 capture from the steam gasification of human and animal derived bio-solids: Comparison with a valorization study for soil amendment
The steam gasification of human and animal-derived biosolids, integrated with CO2 capture by a waste material, was investigated for the production of a H2-rich syngas fuel. The potential of biochars to be used alternatively for soil amendment was also examined. A fixed-bed reactor/differential thermogravimetric-mass spectrometry system and column leaching were employed for the experiments, respectively. By sorbent addition, 86-87 % of CO2 was captured, elevating the H2 fraction in the generated gas by 80.1-104.5 % and the H2/CO ratio up to 4-6 times. The gasification of animal bio-solid produced not only a higher yield of H2, 3.1 m3/kg, than human bio-solid, but also H2 of higher purity, 84.3 mol%. When the biochars were leached through a quartzitic soil, some retention of nitrates occurred on the biochar’s surface, while the release of phosphorus was negligible. The leachability of alkali cations, Ca, Mg, and K, was higher in the case of the animal biochar/soil system, whereas that of heavy metals was very low or practically null, supported by the neutral to alkaline pH of the leachates. Overall, the steam gasification of the bio-solids studied, in the presence of other wastes used as CO2 sorbents, proved to be very advantageous. On the other hand, the application of biochars with composts or other wastes could improve soil amendment.
Energy management strategies for on-grid renewable energy sources
This study proposes an advanced approach to demand-side management (DSM) within smart grids by presenting an integrated building energy management system (BEMS) driven by a fuzzy logic controller (FLC). Faced with the limitations of traditional DSM strategies, the objective is to minimize operational costs and carbon emissions of a residence equipped with a hybrid renewable energy system (HRES). The proposed BEMS dynamically selects energy sources (grid, solar, battery) based on the grid energy cost and the state of charge (SoC) of the HRES. The methodology involved implementing the system in the MATLAB/Simulink environment to validate its control logic and evaluating its technical and economic feasibility by comparing the results with those of a reference model under HOMER Pro. The results of the 48 fuzzy logic rules executed demonstrate intelligent load management, resulting in significant savings. The system reduced grid energy consumption by 80% during the day and 35% at night, prioritizing the use of solar and wind resources, followed by batteries. These findings confirm the effectiveness of BEMS in reshaping the load profile, thus contributing to grid sustainability and the optimization of energy resources.
Development of IoT-based black soldier fly egg incubation system
This article presents the development of an Internet of Things (IoT)-connected smart Black Soldier Fly (BSF) egg incubator designed to increase hatching efficiency and reduce manual labor. The system automates the control of temperature, humidity, and air circulation, crucial factors influencing hatching rates and larval growth. By leveraging IoT technology, the system enables remote monitoring and control of environmental conditions through a digital platform, thus minimizing errors from manual adjustments and enhancing production efficiency. The results indicate that the IoT egg incubator can achieve a high hatching rate of up to 99% under optimal conditions (temperature: 25–29°C, relative humidity: 51–70%), while also reducing incubation time compared to hatching at ambient temperature. Additionally, the system monitors resource and energy consumption by automatically adjusting environmental conditions, thereby supporting sustainable agricultural practices. In summary, this newly developed IoT egg incubator is an effective tool for BSF breeding, with the potential to transform BSF agriculture by increasing production efficiency, lowering costs, and promoting sustainability. This technology is particularly suitable for small and medium-sized farms, enabling farmers to scale up BSF production to meet the growing demand for alternative protein sources.
Credit risk and profitability of ASEAN commercial banks: Granger causality test
The purpose of this research is to study the profitability and credit risk causality of ASEAN commercial banks. Using data from 118 ASEAN commercial banks from 2002 to 2017, we measure profitability by the ratio of net return to assets (ROA) and net return to equity (ROE). Banking credit risk is measured by the ratio of loan loss provision to assets (LLP). We set up a panel vector autoregression (PVAR) to estimate this relationship. Our results indicate that there is a two-way causal relationship between ASEAN banks’ profitability (measured by ROA) and credit risk. Meanwhile, there is a one-way relationship between profitability by ROE and credit risk, and the opposite direction does not occur. Our results support the "bad management," "skimping," and "moral hazard" hypotheses of Berger and DeYoung [1]. The results of this study provide a basis for informing executive managers to improve the bank's profitability while ensuring safety.
Reform, financing, and business model of artisanal public transport in West Africa: A comparative analysis of minibus networks in Dakar, Bamako, and Conakry
The main objective of this study is to analyze the extent to which reform based on minibus renewal improves operators' operating methods, profitability, and access to formal financing. It is based on a comparative analysis between old minibus networks (OMN), such as the “cars rapides/ndiaga ndiaye” in the Senegalese capital, the “sotramas” in Bamako, and the “magbanas” in Conakry, and a new minibus network (NMN), namely the Urban Transport Funding Association (AFTU), created as part of the minibus fleet renewal program in Dakar. The methodology adopted combines statistical analysis of data from field surveys of minibus operators and semi-directive interviews with key stakeholders in the sector. The results reveal improved structuring of reformed minibuses, which has promoted the social inclusion of actors in the AFTU network, the transformation of their business model, and the bancarization of vehicle owners, who are now able to access formal financing enabling them to invest in reliable and high-capacity rolling stock. This study highlights the decisive role that reforming paratransit financing can play in modernizing the operational practices of artisanal networks. It is a strategic lever for promoting the gradual formalization of actors into professional transport companies, in line with the objectives of sustainable urban mobility.
A bibliometric analysis of pedagogical approaches and AI-integrated interactive tools for supporting students under academic risk: Toward sustainable educational practices
This study aims to map pedagogical strategies integrated with Artificial Intelligence (AI) that support students at academic risk by enhancing academic performance through interactive and personalized learning experiences, while identifying influential authors, journals, and emerging research themes. A bibliometric analysis of 500 peer-reviewed articles was conducted using R programming software. The analysis employed country-level productivity assessment, citation trend analysis, keyword co-occurrence, word cloud visualization, and thematic evolution mapping to ensure robust and reliable insights. The results reveal a rapidly growing research domain, with a notable surge in publications in 2024 and high average citation impact for studies published in 2023. Leading journals include Heliyon, Frontiers in Psychology, and BMC Medical Education. Influential contributions are led by Zhang et al., while China emerges as the most productive country. Predominant themes emphasize human-centered and educational perspectives, with frequent keywords such as “students,” “learning,” and “humans,” alongside emerging empirical and application-oriented trends.This study provides the first comprehensive bibliometric overview of AI-integrated pedagogical learning approaches, highlighting the field’s intellectual structure and evolution. The findings offer guidance for educators, researchers, and policymakers in designing AI-driven, sustainable pedagogical strategies tailored to support academically at-risk students.
Design and development of BLUECARV: A remotely operated underwater vehicle for blue carbon monitoring and marine ecosystem conservation
Blue carbon ecosystems such as mangroves, seagrasses, and coral reefs require frequent and accurate monitoring, yet traditional diver-based surveys are limited by depth, cost, and operational risks. This study aims to develop BLUECARV, a low-cost and modular Remotely Operated Vehicle (ROV) designed to enhance ecological observation and environmental data acquisition in coastal habitats up to 100 meters depth. The system integrates a 3-axis manipulator arm, multi-parameter environmental sensors (temperature, salinity, pH, and pressure), and an Ultra HD underwater camera within a hybrid modular architecture that supports flexible payload configurations. BLUECARV was fabricated using corrosion-resistant materials and evaluated through laboratory and field tests, with performance metrics including maneuverability, sensor accuracy, latency, and depth-holding capability. The results show stable six-degree-of-freedom maneuvering, ±0.1 m depth stability, sensor deviations below ±1%, and video latency under 150 ms, while the manipulator achieved a 95% object-handling success rate. These findings demonstrate that BLUECARV provides reliable visual and environmental data for blue carbon ecosystem monitoring. Its affordability, modularity, and operational stability offer practical benefits for long-term coastal habitat assessment, biodiversity surveys, and community-level conservation, while enabling future upgrades such as AI-based navigation and advanced monitoring sensors.
Fear of missing out and Generation Z's investment behavior in Vietnam's stock market: The moderating role of financial literacy
This study investigates the impact of the Fear of Missing Out (FOMO), specifically across group, individual, and influencer dimensions, on the investment behavior of Generation Z in Vietnam, while examining the moderating role of financial literacy. Utilizing a large-scale survey of 5,441 Gen Z investors and employing the PLS-SEM model, the research analyzes the interaction between psychological drivers and financial capability, showing that FOMO dimensions significantly drive impulsive investment decisions, with media influencers exerting the strongest impact. Crucially, the results demonstrate that personal financial literacy, at both basic and advanced levels, plays a negative moderating role, effectively shielding young investors from the adverse effects of FOMO. The study concludes that while psychological biases are prevalent in emerging markets, financial knowledge is a vital mechanism for rationalizing investment behavior. These insights imply a critical need for educational institutions and market regulators to develop targeted financial education programs and market supervision strategies to foster sustainable investing among the digital generation.
Dynamic governance model in tourism village development: Soft systems methodology approach
The development of tourism villages is an important strategy for improving the welfare of rural communities through the sustainable utilization of local potential. However, the ever-changing environmental dynamics, fluctuations in tourist visits, and the complexity of inter-actor relationships necessitate adaptive and responsive governance. Ketapanrame Tourism Village, Mojokerto Regency, is one of the destinations that has experienced rapid growth but still faces various governance issues, such as the absence of standard operating procedures, limited human resource capacity, and weak integration of external networks. These conditions highlight the need to formulate a governance model capable of navigating the complexity and uncertainty in tourism village management. This study aims to develop a dynamic governance model for Ketapanrame Tourism Village using the Soft Systems Methodology (SSM) approach. This approach helps understand unstructured problem situations, map stakeholder perspectives, and formulate a conceptual model that is systematically desirable and culturally acceptable. Data were collected through in-depth interviews, field observations, document analysis, and focused discussions with the village government, BUMDes, KUB, destination managers, and the community. The study's findings indicate that the root causes of governance problems in tourism villages are primarily due to three aspects: weak adaptive policies, low adaptive capacity of implementers, and suboptimal external networks. Based on the SSM analysis, the study proposes the A2ER (Adaptive Policy, Adaptive Capabilities, and External Reliance) model as a dynamic governance framework. This model offers guidance for strengthening data-driven policies, enhancing innovation and human resource capacity, and fostering cross-sector collaboration. The research contributes to the theoretical understanding of tourism village governance and provides practical recommendations for sustainable tourism village management.
IVAS: A multimodal AI system for objective video interview assessment with facial emotion, gaze, and audio analysis
Traditional interviewing literature has regularly highlighted its vulnerability to human subjectivity and unconscious bias, as such pitfalls may cause interviewers to overlook critical behavioral cues. To address these shortcomings, the present study proposes an artificial intelligence-based assessment tool, the Interview Video Analysis System (IVAS), which integrates Facial Emotion Recognition (FER), Gaze Tracking, and Audio Analysis technologies into a single, cohesive system to evaluate candidates objectively. IVAS comprises a Convolutional Neural Network (CNN) based on 22 layers trained on the FER-2013 dataset, achieving an accuracy of 86% in recognizing seven different emotions: Anger, Fear, Sadness, Happiness, Disgust, Surprise, and Neutral, through sophisticated data augmentation and hyperparameter optimization. The system utilizes 68-point facial features from dlib, with its gaze module measuring eye contact, directional changes, and blinks, relating these metrics to engagement and confidence. Additionally, the audio component employs Llama 3.2 with 11 billion parameters and Mel-Frequency Cepstral Coefficients (MFCC) to extract voice features such as pitch, hesitancy, and fluency, and transcribes speech for linguistic analysis. The late-fusion logic aggregates outputs from each module into a well-organized system that provides percentage measures and performance levels. As a Streamlit web application, IVAS can process live and recorded interviews in real-time, offering recruiters a scalable, data-driven assessment tool. This system outperforms other state-of-the-art models by approximately 12 to 30% in FER efficiency and is the first to incorporate multimodal behavioral analysis to reduce ambiguities inherent in unimodal methods. Collectively, this comprehensive system enhances traditional interviewing techniques by providing standardized, bias-proof insights into candidate compatibility.
The role of adaptive leadership in achieving strategic alignment in healthcare organizations: A field study on hospitals in the Riyadh region
This study examines the role of adaptive leadership in achieving strategic alignment within healthcare organizations in Riyadh, Saudi Arabia, addressing the critical need for leadership frameworks capable of navigating rapid healthcare transformations. A quantitative research design was employed using a structured questionnaire distributed to healthcare professionals across public and private hospitals in Riyadh. Data from 312 valid responses (out of 327) were analyzed using descriptive statistics, correlation analysis, and multiple regression to assess relationships between adaptive leadership dimensions and strategic alignment. Results revealed high levels of both adaptive leadership practice and strategic alignment, with a statistically significant, strong positive correlation (r > 0.70, p < 0.001) between the constructs. Key adaptive leadership dimensions, observation, interpretation, learning ability, innovation, and environmental leadership, emerged as significant predictors of strategic alignment, collectively explaining substantial variance in alignment outcomes. Adaptive leadership serves as a critical enabler of strategic alignment in dynamic healthcare environments, with leaders' ability to observe, interpret, learn, innovate, and navigate environmental complexities directly influencing organizational strategic coherence. Healthcare administrators should prioritize developing adaptive leadership competencies through targeted training programs, establish mechanisms for continuous environmental scanning, and integrate adaptive practices into strategic planning processes to enhance organizational responsiveness and sustained performance in evolving healthcare landscapes.
Antibiotic overuse in pediatric dental pain management in Saudi Arabia: A cross-sectional survey of prescriber KAP, digital solutions, and financial influences
This cross-sectional survey investigated the knowledge, attitudes, and practices (KAP) of dental practitioners in Saudi Arabia regarding antibiotic prescribing for pediatric dental pain, while also exploring digital readiness and financial influences. A nationally representative sample of 676 dentists completed a validated questionnaire. Results revealed a significant gap between knowledge and practice. While awareness of antimicrobial resistance was high (93.7%), adherence to specific guidelines was poor; for instance, only 27.1% correctly rejected antibiotics for uncomplicated pulpitis. Practice setting was a key influencer, with private practitioners reporting significantly higher parental pressure and being more likely to inappropriately prescribe antibiotics. Attitudinal barriers included fears of complications and medico-legal issues. Although digital support tools were viewed favorably (87.5%), major implementation barriers were time constraints (84.7%) and financial costs (67.9%). The study concludes that inappropriate antibiotic prescribing in Saudi pediatric dentistry is driven by a complex interplay of knowledge deficits, external pressures, and systemic barriers. Targeted interventions are urgently needed, including continuous education, antimicrobial stewardship programs, and the integration of user-friendly digital decision-support systems to bridge the knowledge-practice gap and combat antimicrobial resistance.
The effectiveness of gamification-based platforms in developing psychological hardiness among students with high levels of psychological disorders
Many diverse educational situations present various challenges, which must be considered to find suitable solutions. Gamification-based platforms have significantly contributed to enhancing learning by employing various motivational elements that greatly contribute to developing intrinsic motivation. This study focused on examining the effectiveness of gamification-based platforms in developing psychological hardiness, exploring four dimensions: commitment, control, challenge, and connection. In this study, a quasi-experimental approach was applied to two experimental groups. The first group used a gamification-based platform, while the second group used a regular platform without gamification. The study aimed to explore the effectiveness of gamification-based platforms in developing psychological hardiness among students with high levels of psychological disorders. Therefore, the study was conducted with a total of 46 eligible students detained in the Jeddah correctional facility. The study discussed the results and statistical tests used to examine the effect of gamification on psychological hardiness across its four dimensions. Several limitations and challenges that may have influenced the study's findings were also discussed, highlighting the need for further research. The results confirmed the effectiveness of using the gamification strategy in enhancing psychological hardiness by developing a sense of commitment, challenge, and control.
Environmental determinants of obesity: A multidimensional assessment based on H.L. Blum’s health model in Riau, Indonesia
The prevalence of obesity continues to increase globally and nationally, with Indonesia reporting a rising prevalence of 21.8% in 2018 and an increase in the number of obesity-related visits in Riau Province. Based on the H.L. Blum health model, this study examined the environmental determinants of obesity among 200 adults aged 15–59 years old who attended Posbindu PTM (Pos Binaan Terpadu Penyakit Tidak Menular/Integrated Development Post of Non-Communicable Diseases) in the working area of the Langsat Community Health Center (Puskesmas) in Pekanbaru City, Riau Province. Four environmental domains were assessed: socioeconomic factors, food availability, physical environment, and psychosocial conditions. Data were analyzed using Bivariate Analysis: Cramer's V Correlation Test to determine its correlation with Body Mass Index (BMI), which served as the outcome measure. Significant correlations were identified between BMI and factors such as type of employment, instant noodle consumption, sedentary work patterns, perceived advertising influence, and perceived social barriers. These findings underscore the significant role of environmental exposures in influencing obesity risk. An environment-based management model, grounded in Blum's framework, is proposed to assist policymakers in developing targeted interventions aimed at preventing further increases in obesity prevalence.
Mapping the research landscape of job embeddedness and turnover: A bibliometric analysis using CiteSpace
Employee turnover is a significant research topic in management research, and Job Embeddedness has emerged as a key area of focus in turnover research in recent years. This paper employs bibliometric analysis to systematically examine the research trends and hotspots between JE and Turnover and to offer theoretical support and practical insights for future research in this field. This study employs bibliometric analysis and scientific knowledge mapping using CiteSpace to analyze 345 articles retrieved from the Web of Science database. The results show that the number of studies on JE and Turnover has increased significantly since 2010 and has entered a period of rapid growth, especially since 2019. Core contributors include Holtom, Mitchell, and Lee, while the United States and China dominate scholarly output. Research themes have evolved from foundational models to complex mechanisms and emerging application contexts. The study concludes that JE research is entering a stage of diversification and contextual expansion. These findings highlight the need for future research to examine JE across cross-cultural and cross-industry settings, incorporate multi-level analytical approaches, and explore its role in digitalized and flexible work environments, thereby offering more targeted theoretical and practical insights for employee mobility management.
Benchmarking vanilla GAN, DCGAN, and WGAN architectures for MRI reconstruction: A quantitative analysis
Magnetic Resonance Imaging (MRI) is a crucial imaging modality for viewing internal body structures. This research analyzes the performance of popular GAN models for accurate and precise MRI reconstruction by enhancing image quality and improving diagnostic accuracy. Three GAN architectures considered in this study are Vanilla GAN, Deep Convolutional GAN (DCGAN), and Wasserstein GAN (WGAN). They were trained and evaluated using knee, brain, and cardiac MRI datasets to assess their generalizability across body regions. While the Vanilla GAN operates on the fundamentals of the adversarial network setup, DCGAN advances image synthesis by securing the convolutional layers, giving a superior appearance to the prevalent spatial features. Training instability is resolved in WGAN through the Wasserstein distance to minimize an unstable regime, therefore, ensuring stable convergence and high-quality images. The GAN models were trained and tested using 1000 MR images of an anonymized knee, 805 images of the heart, and 90 images of the brain MRI datasets. The Structural Similarity Index (SSIM) for Vanilla GAN is 0.84, DCGAN is 0.97, and WGAN is 0.99. The Peak Signal-to-Noise Ratio (PSNR) for Vanilla GAN is 26, DCGAN is 49.3, and WGAN is 43.5. The results were further statistically validated. This study shows that DCGAN and WGAN-based frameworks are promising in MR image reconstruction because of good image quality and superior accuracy. With the first cross-organ benchmark of baseline GANs under a common preprocessing pipeline, this work provides a reproducible benchmark for future hybrid GANs and clinical MRI applications.
Research progress, hotspot analysis, and development trend outlook in the field of digital inclusive finance: A visualization study based on Citespace
This study conducts a bibliometric analysis to delineate the intellectual structure and evolutionary trajectory of digital inclusive finance (DIF). Based on a dataset of 850 publications from the Web of Science Core Collection (2017–2025), we utilized CiteSpace 6.4.R1 to perform keyword co-occurrence, clustering, and burst detection analyses. Our findings indicate a rapidly growing body of literature, with China emerging as the leading contributor. Three primary research directions were identified: the theoretical underpinnings of DIF, its economic consequences, and its role in sustainable development. The field’s focus has shifted from foundational concepts to practical impacts, such as alleviating financing constraints and fostering innovation. Currently, scholarly attention is centered on high-quality development, with “efficiency” and “entrepreneurship” being prominent buzz terms. Future research is anticipated to concentrate on “poverty” and “industry.” This paper offers a systematic mapping of the DIF field, providing valuable insights into its current state and future directions. The implications are significant for scholars seeking to identify research gaps and for policymakers aiming to leverage DIF.
Academic procrastination and negative emotions in the post-epidemic ERA: Life autonomy as a mediator and psychological resilience as a moderator
This study examines the mechanisms through which academic procrastination affects negative emotions among college students in the post-pandemic era, focusing on the mediating role of life autonomy and the moderating role of psychological resilience. A cross-sectional survey was conducted with 776 students from three Chinese universities, who completed measures of academic procrastination, negative emotions, life autonomy, and psychological resilience. Data were analyzed using mediated and moderated mediation models. The results showed that: (1) academic procrastination was positively associated with negative emotions; (2) life autonomy partially mediated this relationship—higher procrastination predicted lower life autonomy, which in turn predicted more negative emotions; and (3) psychological resilience moderated both the link between procrastination and life autonomy and the link between life autonomy and negative emotions. Specifically, higher resilience weakened the negative effect of procrastination on autonomy, while strengthening the protective effect of autonomy against negative emotions. These findings clarify how procrastination influences emotional well-being and highlight the importance of fostering life autonomy and psychological resilience in students. Practically, interventions aimed at reducing procrastination and improving emotional adjustment should incorporate strategies to enhance students’ sense of autonomy and resilience.
Phenomenon-based learning with peer assessment learning model for Chinese college students in entrepreneurship education: A needs assessment study
Entrepreneurship education is central in higher education, yet many programs remain teacher-centered. To develop a more learner-centered approach, this study surveyed 364 students in Taiyuan, China, on learning needs, including phenomenon-based learning, peer assessment, entrepreneurial skills, and critical thinking, using the Priority Needs Index (PNI). Students strongly preferred experiential, real-world challenges (PNI=9.05) and expressed interest in AI-supported project learning (PNI=8.35). They also reported high needs for peer feedback for improvement (PNI=10.6) and for strengthening opportunity analysis, persuasive communication, teamwork, and critical evaluation of information (PNI=9.30). Based on these findings, the study proposed an eight-step Phenomenon-Based Learning with Peer Assessment model (PhBLPA). A focus group of five experts affirmed that its iterative cycles of feedback, revision, presentation, and reflection mirror entrepreneurial practice and can enhance students’ entrepreneurial skills and critical thinking, with generative AI as a supportive tool when used transparently and critically. This model offers a practical framework for renewing entrepreneurship pedagogy in Chinese higher education.
Sport governance and community empowerment: Insights from an international systematic review
Sport governance has a significant impact on community development at three levels: local, national, and global. The change of the paradigm in governance sets transparency, participation, accountability, and collaboration among stakeholders as the cornerstones for sport to effectively strengthen the community. The purpose of this study is to present a systematic literature review (SLR) of international studies conducted over the last two decades investigating the nexus between sport governance and community empowerment. The existing literature on governmentality in sports remains fragmented and requires systematic integration. The SLR follows the PRISMA protocol and includes publications indexed in Scopus and Web of Science between 2006 and 2025. The study identified different governance structures that enable communities to have power and contribute to community development, as well as drivers and barriers to the implementation of inclusive governance principles. In conclusion, the study demonstrates that sustainable and transformative sport governance for community empowerment ultimately depends on the integration of participatory, context-specific, and multi-sectoral approaches supported by robust collaborative practices. These insights offer practical guidance for policymakers, sport organizations, and researchers in advancing sport-based community development and refining governance frameworks.
The impact of E-wallet usage and digital financial literacy on freelancers' tax awareness: The moderating role of tax regulations
This study aims to examine the effect of e-wallet usage and digital financial literacy on tax awareness among freelancers, with digital tax regulation serving as a moderating variable. The research adopts a quantitative approach using a cross-sectional survey design. Data were collected from freelancers who actively use e-wallets for financial transactions and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM) with SmartPLS 4. The findings indicate that e-wallet usage has a significant positive effect on freelancers’ tax awareness, highlighting the role of digital payment platforms in enhancing financial transparency and income traceability. Digital financial literacy also shows a positive influence on tax awareness. Furthermore, digital tax regulation significantly strengthens the relationship between digital financial literacy and tax awareness, demonstrating the importance of supportive and well-integrated regulatory frameworks in the digital economy. In conclusion, the study emphasizes that technological adoption and regulatory support are essential drivers of tax awareness among freelancers. Practically, the findings suggest that policymakers and tax authorities should enhance digital tax systems and promote digital financial education, while digital finance providers can integrate tax-related features into e-wallet platforms to encourage compliance and foster a more transparent freelance economy.
Predicting daily new cases of COVID-19 using data mining techniques
Accurate forecasting of daily new COVID-19 cases remains a critical challenge for effective epidemiological surveillance and healthcare system preparedness. This study proposes a data-driven predictive framework that leverages advanced data mining techniques to model daily COVID-19 case trends using a comprehensive dataset comprising case statistics, demographic attributes, vaccination status, cluster information, and temporal indicators. The methodology involves systematic data preprocessing, feature engineering—including lagged and temporal variables—and the application of regression-based and time-series forecasting models. Model performance is rigorously evaluated using standard statistical error metrics to assess predictive reliability. The results indicate that incorporating vaccination categories, cluster-related features, and historical lag variables substantially enhances forecasting accuracy, enabling the models to capture nonlinear dynamics and temporal dependencies in case progression. The findings demonstrate the effectiveness of data mining approaches in improving short-term COVID-19 case prediction, thereby providing a technically robust framework for real-time epidemic modeling and informed public health decision-making.
Assessing the comprehension and numerical skills in physics: Challenges encountered by non-stem students in solving worded – problems
This descriptive study investigated the comprehension levels, numerical skills, learning behaviors, and difficulties of non-STEM senior high school students in solving physics word problems. The respondents were 100 non-STEM students from Dimaukom National High School who completed tests and survey questionnaires. Reading comprehension was assessed using the Philippine Informal Reading Inventory (PIRI) of the Department of Education, while numerical skills were measured through an adapted DepEd Numeracy Assessment Tool. Students’ difficulties in physics problem-solving were identified using a test focusing on unit conversion, formula selection, and mathematical operations. Learning behaviors, attitudes, and interests toward physics were examined using Wrenn’s Study Habit Inventory, Entwistle’s Student Attitude Inventory, and the Guilford-Zimmerman Interest Inventory. Results showed that students were at the instructional level in reading comprehension and moderately numerate, suggesting the need for academic intervention. Survey findings indicated that students generally found physics unengaging, as reflected in their poor study habits, attitudes, and interest. Among the identified challenges, mathematical operations were the most difficult, followed by selecting appropriate formulas and converting units. Overall, non-STEM students were more comfortable with simple calculations than with complex, multi-step worded physics problems.
The effect of worker behavior and physical workload on work productivity through blood pressure of workers at PT Maruki International Indonesia
This study examines how physical workload, smoking, and coffee intake affect blood pressure and employee productivity. A quantitative research approach was employed, with data obtained from 147 respondents using questionnaires and blood pressure assessments. The results of the analysis showed that physical workload had a significant positive effect on systolic blood pressure (p=0.001; β=0.264) and a significant negative effect on work productivity (p=0.003; β=-0.166), but not significantly on diastolic blood pressure (p=0.082). Smoking behavior had a significant positive effect on systolic blood pressure (p=0.020; β=0.191) and diastolic blood pressure (p=0.001; β=0.249), but not significantly on work productivity (p=0.092). Coffee drinking behavior showed a significant positive effect on systolic blood pressure (p=0.037; β=0.186) and diastolic blood pressure (p=0.014; β=0.239), and through blood pressure had a significant effect on work productivity. In addition, systolic (p=0.037; β=-0.212) and diastolic (p=0.000; β=-0.372) blood pressure had significant negative effects on work productivity. These findings emphasize the need to manage workload and caffeine intake to support heart health and productivity. The management of PT Maruki International Indonesia should regulate physical workload as well as employees' smoking and coffee consumption habits through workplace health policies to maintain healthy blood pressure and improve work productivity.
The impact of supervisor bottom-line mentality on employees’ knowledge hiding: The mediating role of performance avoidance orientation and the moderating role of self-efficacy
In the era of the digital economy, the competitive advantage of internet enterprises is gradually shifting to knowledge-based intangible assets. However, leaders’ behaviors and cognitive patterns, especially the prevalence of supervisor bottom-line mentality, have severely hindered internal knowledge flow. This study aims to explore the impact of supervisor bottom-line mentality on employees’ knowledge hiding. By conducting a quantitative study that takes performance avoidance orientation as the mediating variable and self-efficacy as the moderating variable, empirical data were collected from the internet industry via a questionnaire survey. A total of 733 questionnaires were retrieved, with 503 valid samples and an effective response rate of 68.6%. Data analysis results show that supervisor bottom-line mentality strengthens performance avoidance orientation; performance avoidance orientation exacerbates knowledge hiding; performance avoidance orientation plays a partial mediating role between supervisor bottom-line mentality and knowledge hiding; self-efficacy significantly reduces the impact of supervisor bottom-line mentality on performance avoidance orientation. This finding provides theoretical support for managers to recognize the potential consequences and negative impacts of bottom-line mentality and to construct an open and collaborative organizational culture.
Effectiveness of phenomenon-based peer assessment learning model on college students’ entrepreneurship skills and critical thinking
Entrepreneurial skills and critical thinking skills have become indispensable for adapting to market demands and securing suitable future career positions for today's college students. This study integrated Phenomenon-Based Learning, peer assessment, and generative AI into the PhBLPA model to examine its effectiveness in enhancing students’ entrepreneurial skills and critical thinking in entrepreneurship education. A two-group posttest-only experimental design was employed, involving two groups selected through cluster sampling, with 40 students per group, totaling 80 students. The experiment spanned eight weeks as part of an entrepreneurship course. Entrepreneurial skills were assessed through students’ entrepreneurial business project plans, while critical thinking was measured using a five-point Likert scale questionnaire. The data obtained were analyzed using MANOVA, revealing significant differences between groups. The results supported Research Hypothesis 1 (RH1): students who studied the PhBLPA model demonstrated higher entrepreneurial skills than those who studied with traditional learning methods (P < .001). Similarly, Research Hypothesis 2 (RH2): students who studied the PhBLPA model exhibited higher critical thinking skills than those who studied with traditional methods (P < .001). Overall, the findings suggest that the PhBLPA model is more effective than traditional methods for cultivating 21st-century entrepreneurial skills and critical thinking among university students.
The impact of internet financial attributes and internet non-financial attributes on the entrepreneurial intention of college students
With the rapid development of the internet, its inherent financial and non-financial attributes have significantly promoted the growth of national enterprises, particularly entrepreneurial activities among college students. Although online business loans have become increasingly prevalent, the evolution of the internet has also introduced new challenges to enterprises' financial needs to some extent. This study aims to explore the combined impact of Internet Financial Attributes and Internet Non-financial Attributes on college students' Entrepreneurial Intention. Employing a questionnaire survey method targeting students with innovation and entrepreneurship aspirations, it systematically analyzes how these attributes influence their Entrepreneurial Intention to identify key factors. The findings indicate that both the non-financial and Internet Financial Attributes exert a significant positive influence on college students' entrepreneurial intentions. Specifically, the Internet Financial Attributes positively impact entrepreneurial intentions through three dimensions: broadening financing channels, reducing financing costs, and enhancing financial risk perception. Meanwhile, the Internet Non-financial Attributes exert a positive influence by fostering entrepreneurship cultivation, promoting human capital accumulation, and strengthening innovation and entrepreneurship education. Based on these findings, this study proposes targeted policy recommendations centered on six key factors of financial and non-financial attributes, aiming to provide theoretical reference and practical guidance for entrepreneurial practices among Chinese college students.
Why do personal and demographic data matter in healthcare digitalization initiatives?
This study explores the role and usability of personal and demographic data (PDD) in Slovenian healthcare digitalization initiatives, assessing its impact on clinical aspects, operative procedures, public health policymaking, and cross-border health threats. Using a multiple-case study approach, data were collected from expert focus groups and supported by intelligence reports from the Central Register of Patient Data. Data were coded using a content analysis approach and utilized to enhance the understanding of the research subject and refine our inferences. PDD, including identifiers, residence details, education level, employment status, social history, lifestyle behaviors, cultural determinants, and other related information, is vital for effective healthcare delivery, public health surveillance, administrative and financial compliance of the healthcare system's operations, and cross-border actions. The study highlights the pivotal role of PDD in the Slovenian eHealth system through real-world cases and applications. The key findings suggest that leveraging the potential of PDD requires systemic improvements, particularly in national strategy and regulation, data collection and quality, data utilization and integration, and privacy and ethical considerations. Advancing these areas through a coordinated and comprehensive approach can maximize the value of PDD and serve as a model for other countries aiming to strengthen their digital health systems.
Cultivating oral proficiency: Harnessing digital technologies to enhance 2nd year students’ speaking skills
This study aims to investigate the effectiveness of digital technologies on the development of students' speaking skills among the 2nd-year English language learners at the Sudan University of Science and Technology. A descriptive analytical method was applied through the use of a questionnaire, which offers first-hand data that is easily quantifiable. The responses obtained from participants can be simply transformed into a numeric form suitable for quantitative analysis of data. A questionnaire was designed and distributed to 100 male and female participants who were purposefully selected, while 90 questionnaires were collected from 100 participants. The SPSS version 20 program was used to analyze the obtained data. The study findings revealed the following: digital technologies are helpful pedagogical tools that significantly influence students’ speaking skills. Additionally, digital technologies are very effective in helping students increase their speaking skills and reduce students’ anxiety. Furthermore, digital technologies played a vital role in developing students' speaking skills and offer many benefits to students of the University of Science and Technology.
Learning assessment during COVID-19: A case study of six Moroccan institutions
The global impact of the COVID-19 pandemic affected Morocco's education sector, prompting a rapid shift to online learning in higher education. This study presents a case analysis based on a survey of the mode of learning assessment adopted by Moroccan universities during the pandemic. Participants included university officials and researchers interested in distance education from six Moroccan higher education institutions. The analysis examines in detail the Moroccan experience regarding the integration of technology into learning assessment during the pandemic, emphasizing organizational, pedagogical, technical, ethical, and emotional aspects of this transition. The findings reveal significant challenges, such as maintaining exam integrity and adapting to digital tools. The study concludes that sustainable progress in this area depends on teacher training, improved digital infrastructure, and the development of strong ethical frameworks for online assessment. These insights contribute to a better understanding of the resilience of the Moroccan higher education system and offer practical recommendations for stakeholders and academic leaders aiming to improve assessment practices in blended and fully online environments.
A study on factors and strategies for digital innovation capability of normal vocational college teachers in China
Based on the Technological Pedagogical Content Knowledge (TPACK) theory and digital innovation capability, this study aims to discuss factors affecting the promotion of digital innovation capability and possible methods for improvement. This paper focuses on teachers of Chinese higher vocational normal colleges as research subjects in studying the influencing factors and strategies for improving their digital innovation capability. Grounded in theories, this research adopts purposive sampling, selecting 12 faculty members at Chinese higher vocational normal colleges for focus group interviews, and 6 experts and scholars in the field of educational technology for semi-structured one-on-one interviews, in order to combine the viewpoints of ordinary teachers and administrators, and comprehensively collect data. The results demonstrate that the influencing factors include the individual, organizational, and macro levels. At the individual level, the factors include the TPACK gap and innovation mindset; the organizational level entails the research and development climate and platform facilities; while the macro level relates to assessment and evaluation systems.
Prosthetic appliance use in the patients with premature shedding of deciduous teeth and its impact on orthodontic treatment: A retrospective study
Premature loss of deciduous teeth is a prevalent concern in pediatric dentistry and can disrupt normal occlusal development, often increasing the need for complex orthodontic and prosthodontic interventions. This retrospective observational study assessed the association between early primary tooth loss, malocclusion patterns, and subsequent treatment requirements among children attending dental clinics in Riyadh, Saudi Arabia. Records of 467 patients aged 6–18 years were analyzed. Early loss of deciduous teeth was observed in 39% of patients, most commonly due to dental caries and frequently involving primary molars. Children with premature tooth loss exhibited significantly higher rates of crowding, midline deviation, crossbite, and altered overjet or overbite. These occlusal disturbances often necessitated space management using fixed or removable space maintainers, pediatric partial dentures, or functional appliances to preserve arch length and guide the eruption of permanent successors. Patients with early tooth loss demonstrated a greater need for orthodontic treatment, increased treatment complexity, and prolonged treatment duration. Multivariable analyses identified early deciduous tooth loss as an independent predictor of severe treatment complexity, while timely space maintenance and prosthodontic rehabilitation showed a mitigating effect. These findings emphasize the importance of preserving primary teeth and integrating preventive, orthodontic, and prosthodontic strategies to optimize occlusal development and reduce long-term treatment burden in children.
A structural model of sales management processes and salesperson behavior performance: The roles of control strategy and supervisor orientation
This study examines how sales management control strategy and supervisor orientation influence sales organization effectiveness through salesperson behavior performance. Drawing on established sales management and organizational behavior literature, a structural model is developed and empirically tested using survey data collected from 534 salespeople across multiple commercial sectors in Saudi Arabia. Structural equation modeling is employed to assess the relationships among managerial control practices, supervisory orientation, frontline behavioral performance, and organizational effectiveness. The findings indicate that both sales management control strategy and supervisor orientation have significant positive effects on salesperson behavior performance. In turn, salesperson behavior performance is strongly associated with sales organization effectiveness, highlighting the central role of frontline behaviors in translating managerial practices into organizational outcomes. The results underscore the importance of aligning formal control systems with supportive and development-oriented supervisory approaches to enhance sales effectiveness. By adopting a process-oriented perspective, this study contributes to sales management theory and offers practical insights for managers operating in fast-evolving socio-economic and organizational contexts.