Authors - Vishwa Kumaresh Abstract - A local supplier delay or demand shock in multi-echelon supply chains can make upstream orders volatile long before the full costs appear in planning dashboards. In this study, we propose an interpretable warning-to-action layer for supply-chain digital twins. This layer sits above the replenishment controller: it estimates disruption-regime risk from rolling demand, inventory, backlog, order, and lead-time telemetry, then maps that risk to bounded changes in responsiveness, safety stock, and order caps. We calibrate a gradient-boosted stump classifier that combines standard warning indicators, cross-echelon imbalance measures, and nonlinear stress descriptors. A small mode table converts the resulting probability into five auditable replenishment modes. This method is tested on twelve disruption scenarios grouped into six mechanism classes, using ten baselines and an untouched lockbox of 576 observations. The proposed policy reduces aggregate system expenditure by 15.2% and cross-echelon volatility (bullwhip) by 44.5%, relative to a linear guard that uses the same broad action family. The largest gains occur in lead-time disruptions and backlog cascades. Compound shocks demonstrate marginal performance gains, as existing linear guards effectively capture these dynamics within standard monitoring frameworks.
Authors - Wannakorn Phornprasert, Waraporn Phothirin, Thapanapong Sararat, Wongpanya S. Nuankaew, Pratya Nuankaew Abstract - This study uses Learning Analytics to assess university students’ eye health risks based on social media usage data, focusing on descriptive and diagnostic analyses. Data collected from 44 undergraduates via a self-reported questionnaire with 82 key questions covered general details, social media habits, device and screen environments, symptoms of Computer Vision Syndrome, and Felder–Silverman learning styles. The descriptive analysis revealed Instagram as the most popular platform, frequent nighttime use after 20:00, and many students spend over six hours daily on social media. While most respondents were categorized as low risk, symptoms such as watery eyes, eye pain, light sensitivity, and neck pain were commonly reported. The diagnostic analysis linked risky sitting postures, looking below eye level, prolonged daily usage, and nighttime social media activity to increased eye health risks. These findings support initiatives for digital well-being and learning support in higher education.
Authors - Mariel Leo T. Violeta Abstract - The increasing incidence of academic credential fraud, inefficient verification procedures, and reliance on centralized record management systems present significant challenges for higher education institutions. This study proposes and evaluates a blockchain-based academic credential issuance and verification platform using Hyperledger Fabric to improve the security, authenticity, and efficiency of academic credential management. The platform enables university registrars to issue digital academic credentials, allows students to securely access and share academic records, and provides employers and external entities with a reliable credential verification mechanism. To ensure data integrity while maintaining scalability and privacy, the framework integrates blockchain-based cryptographic hashing with off-chain cloud storage. A quantitative descriptive research design was employed using the Technology Acceptance Model (TAM) as the theoretical framework. Data were collected from 40 registrar personnel at the Polytechnic University of the Philippines through a structured survey instrument measuring Perceived Usefulness and Perceived Ease of Use. Findings revealed that respondents strongly agreed that the platform improves security, credential verification, operational efficiency, accessibility, and flexibility. The results demonstrate that Hyperledger Fabric can provide a secure, tamper-resistant, and efficient infrastructure for managing academic credentials in higher education institutions. The study contributes to the growing adoption of blockchain technology in education by presenting a practical and institution-oriented framework for secure and verifiable digital credential management.
Authors - Bhagyalakshmi S Pai, Jeevanand E S, Radhika P.C, Krupa B Nair, Sreeja Radhakrishnan, Dhanalakshmi Menon Abstract - The present study attempts to empirically investigate how the customers’ awareness relates to the adoption of green banking initiatives of commercial banks in Kerala, India. The study employs data gathered from 540 customers of five banks (SBI, Canara, PNB, ICICI Bank, HDFC Bank, and Axis Bank) by using a structured questionnaire, and builds and validates the structural model for green banking adoption. Customer awareness is considered as a higher order construct which consists of Environmental Awareness and General Awareness. The analysis used descriptive statistics, reliability analysis, Confirmatory Factor Analysis (CFA), two-stage analysis of Structural Equation Modeling (SEM), and Z test and One-Way ANOVA test to determine awareness levels and differences in demographic data. The results show that there exists a high Awareness–Adoption Gap, that is, a superficial awareness of green banking, which is not yet accompanied by a conceptual understanding of it. The study also reveals that adoption of e-banking is mainly for convenience and that practice in key life-stages and occupations have a strong bearing on adoption behaviour.
Authors - Wannakorn Phornprasert, Ratchanin Intham, Thapanapong Sararat, Wongpanya S. Nuankaew, Pratya Nuankaew Abstract - This study explored learning well-being and indicators of academic burnout associated with pseudo depression risk among university students at the University of Phayao. Data collection involved a general information questionnaire, an academic burnout assessment scale, and the DASS-21. Descriptive and diagnostic statistics were applied. Results indicated a moderate level of overall academic burnout, with academic fatigue scoring higher than academic withdrawal. Emotional risk assessment found that 50.0% of students showed mild to severe pseudo depression symptoms. Additionally, scores for academic fatigue, academic withdrawal, and overall burnout were positively linked to depression, anxiety, and stress. These results suggest that descriptive and diagnostic approaches can serve as initial tools for screening and promoting students' learning well-being in Thai higher education.
Authors - Pratya Nuankaew, Panisara Paksasuk, Thanapon Thiradathanapattaradecha, Thapanapong Sararat, Wongpanya S. Nuankaew Abstract - This study analyzes student behavioral data to understand factors influencing secondhand fashion purchases in the digital age. A survey was conducted with 40 University of Phayao students who are experienced in buying secondhand fashion items. Data analysis included descriptive statistics and diagnostic approaches to profile students, their purchasing habits, perceptions, and key factors. Results indicated that all participants had prior secondhand shopping experience, using both physical stores and online platforms as key channels. Product quality received the highest average score of 4.20, followed by a positive attitude toward second-hand fashion at 4.05, frugality at 4.00, and brand reputation and environmental responsibility at 3.85, with sustainable fashion close behind at 3.83. These findings suggest that students’ choices are influenced more by quality, value, personal attitudes, and sustainability awareness than by social media influencers alone. The research provides valuable insights for promoting sustainable fashion, designing platforms, and developing future predictive analytics.
Authors - Pratya Nuankaew, Duangjai Pongsawan, Supan Tongphet, Thapanapong Sararat, Wongpanya S. Nuankaew Abstract - This research aimed to examine the use of student-pet interaction data to enhance understanding of university students' mental well-being. Descriptive and diagnostic data analyses were conducted. The sample comprised 40 students. Data collection was conducted using questionnaires to collect baseline information, characteristics of interaction with pets, and evaluations with the CCAS, PSS-10, and ST-5 instruments. The analysis revealed that the majority of students experienced a high level of attachment and comfort with their pets, with an average CCAS score of 3.57. The average PSS-10 score was 20.48, indicating moderate stress levels, and the mean ST-5 score was 7.43. Diagnostic analysis suggested that the duration of contact with pets, pet type, living conditions, and pet ownership status were potentially associated with students' stress levels. These findings may serve as an initial guideline for developing monitoring and support programs to promote the mental well-being of university students.
Authors - Wannakorn Phornprasert, Papimon Novichai, Thapanapong Sararat, Wongpanya S. Nuankaew, Pratya Nuankaew Abstract - This investigation aimed to analyze the VARK learning style and ergonomic data to identify the risk of office syndrome among university students. A quantitative, cross-sectional approach was employed, utilizing questionnaire data from 40 students. The analysis used descriptive statistics to summarize general characteristics, learning styles, and risk levels, and diagnostic analyses to identify factors associated with office syndrome risk. The most prevalent learning styles identified were Read/Write (30.0%) and Kinesthetic (25.0%). Ergonomic assessments revealed that 42.5% of students were at high risk, while 35.0% were at moderate risk. Factors correlated with risk included excessive phone usage (exceeding 4 hours per day), inappropriate chair height, unsuitable armrests, incorrect screen positioning, and improper keyboard posture. These findings indicate that combining learning preferences with ergonomic data can serve as an initial screening tool for risk assessment and facilitate the development of learning environments tailored to students in the digital era.
