Journal of Information Science Research and Practice

The Development of a self-service book renewal system using a web-based application for the Creativity and Learning Room, College of Arts, Media and Technology, Chiang Mai University

Chodchakorn Tawonkasemhatai — Mon, 30 Mar 2026 00:00:00 +0700

Purpose: 1) To develop a web-based self-service book renewal system to reduce redundant work steps. 2) To evaluate user satisfaction with the web-based self-service book renewal system of the Creativity and Learning Room.

Methodology: The researchers developed the system by applying Lean concepts to reduce unnecessary steps in conjunction with the five-step system development life cycle (SDLC): (1) user requirements analysis, (2) system design, (3) system development, (4) system testing, and (5) system maintenance. The study was conducted with a population of 541 people and a sample of 230 participants (teachers, staff, and students). Descriptive statistics, including percentages, means (), and standard deviations (S.D.), were used to analyze the data.

Findings: This self-service book renewal system allows users to renew loans and calculate fines themselves. By applying Lean principles, the process was reduced from six steps to three, decreasing staff workload by over 90% and eliminating data errors. Overall user satisfaction was high ( = 4.18, S.D. = 0.79).

Applications of this study: The study's results can serve as a model for developing a self-service book renewal information system for specialized libraries and learning centers. By integrating LEAN concepts into work processes, redundant steps can be eliminated, thereby increasing the efficiency of information resource management and reducing personnel workload.

Analyzing Institutional Partnership Trends: A Quantitative Study of MOUs at the College of Arts, Media and Technology, Chiang Mai University

Narisara Laohapattanalert — Mon, 30 Mar 2026 00:00:00 +0700

Purpose: Internationalization in higher education is increasingly evaluated not only in terms of partnership governance effectiveness but also through the management of institutional knowledge networks embedded within collaboration structures. Memoranda of Understanding (MOUs) serve as foundational instruments for inter-institutional cooperation; however, empirical analyses of how MOU portfolios shape institutional knowledge flow remain limited, particularly at the sub-institutional level.

Methodology: This study examines the MOU portfolio of the College of Arts, Media and Technology (CAMT) at Chiang Mai University through a quantitative analysis of 40 agreements that were signed or remained active between 2023 and early 2026. Integrating a strategic partnership portfolio governance framework with an institutional knowledge flow perspective, the study analyzes geographic distribution, agreement duration, institutional level, lifecycle status, and temporal development patterns. Descriptive statistical techniques and institutional document analysis are employed to identify structural collaboration trends and information governance characteristics.

Findings: The findings indicate that partnership agreements are geographically concentrated in Asia, particularly in China, Japan, and South Korea, reflecting the regional density of knowledge networks. The standardized five-year agreement structure demonstrates alignment in lifecycle governance and supports sustained cycles of knowledge circulation. A balanced dual-level partnership configuration supports multi-layered research information exchange across institutional hierarchies. The upward trend of MOU formation further indicates deliberate expansion of institutional knowledge infrastructure within regional academic ecosystems.

Applications of this study: The results contribute to international affairs management, research data governance, and institutional strategy development in higher education institutions seeking to enhance global collaboration performance.

Study on Risk Prediction of Comorbidity of Major Chronic Diseases in Rural Elderly in China Based on Multi-label Deep Learning

Fen Fu, Kittiya Suthiprapa, Kanyarat Kwiecien — Mon, 30 Mar 2026 00:00:00 +0700

Purpose: To develop and evaluate a multi-label deep learning framework for simultaneously predicting five major chronic diseases.

Methodology: Using CHARLS data supplemented with rural health examination records (n=38,569, aged ≥60), a fully connected multi-label deep neural network was trained using weighted binary cross-entropy and disease-specific threshold optimization. Five-fold cross-validation and an independent test set (15%) were used for evaluation.

Findings: The model achieved a macro AUC-ROC of 0.8587 and a macro F1-score of 0.6676 on the independent test set, outperforming logistic regression and XGBoost while achieving competitive performance compared to random forest. SHAP analysis identified systolic blood pressure, BMI, and fasting glucose as the top predictors.

Applications of this study: The proposed framework demonstrates the feasibility for transforming population-level survey data into actionable multimorbidity risk tools for resource-constrained rural primary care.

The Symbol Transformation of Ancient Chinese Steles: Interactive Digital Exhibition Creation

Luchuan Chen, Bunchoo Bunlikhitsiri , Rasa Suntrayuth — Mon, 30 Mar 2026 00:00:00 +0700

Purpose: This study aims to (1) examine the current status and characteristics of digital media exhibition systems in museums and identify innovative virtual media approaches for conceptual transformation; and (2) analyze the cultural value of ancient Chinese steles in Liaoning Province to develop strategies for transforming them into interactive digital symbols for exhibitions.

Methodology: A mixed-methods approach was employed, including literature review, field survey, expert interviews (n = 9), and creative practice. Data were collected from over 200 artifacts at the Liaoning Provincial Museum (Han to Qing dynasties) through field photography and design development using TouchDesigner. A questionnaire survey (n = 100) was conducted via the Wenjuanxing platform for quantitative evaluation.

Findings: (1) A knowledge framework for digital museum exhibitions and innovative virtual media was developed; (2) a design framework and prototype for interactive stele-based exhibitions (“Stories of Ancient Chinese Inscriptions”) were proposed; (3) results indicate that interactive multimedia enhances immersive experience and yields high user satisfaction, confirming design effectiveness.

Applications of this study: The study offers practical design guidelines for digital stele exhibitions and proposes an adaptable interactive media paradigm to support the preservation and global dissemination of cultural heritage.

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