Journal of Information Science Research and Practice

Design of Data Structure, Classification, and Metadata for IT Repair Service Information

Naweeya Sukhabutr — 2026-05-29

Purpose: This study aims to design a systematic data structure, classification, and metadata for IT repair service information. The goal is to support the organization, retrieval, and presentation of repair shop information in areas surrounding Khon Kaen University and nearby communities. The study focuses on improving the accessibility, clarity, and usability of service information for users.

Methodology: This study employs a survey research method using online questionnaires distributed via Google Forms to collect data from users in the study area. It also applies literature review and international standards, including ISIC Rev.4 for classification, Dublin Core and Schema.org for metadata design. Figma was used for interface design, and a prototype website was subsequently developed.

Findings: The findings indicate that users require complete and accessible information, including service types, pricing, reviews, and location. The designed data structure includes shop, service, device, and metadata components aligned with user needs. The classification system improves search and comparison functions, while the overall structure supports efficient information retrieval and usability.

Applications of this study: This study can be applied to the development of information systems and service platforms, especially for local service businesses such as IT repair shops and small enterprises. It also provides guidelines for data structure, classification, and metadata design in information science, web development, and digital service platforms in urban and community contexts.

January - March

2026-03-30

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 — 2026-03-30

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.

Factors Affecting the Need for Intellectual Property Registration and Guidelines for Strengthening Protection: A Case Study of the College of Arts, Media and Technology, Chiang Mai University

Thanaporn Ngamprapasom — 2026-03-30

Purpose: This research aims to investigate the factors influencing the need for intellectual property (IP) registration and to propose guidelines to strengthen IP protection among personnel at the College of Arts, Media and Technology (CAMT), Chiang Mai University, from an information science perspective.

Methodology: By integrating the PRECEDE Framework, Herzberg’s Theory, and Wilson’s Information Behaviour Model, survey data were collected from 56 academic and support staff selected through purposive sampling. The instrument's reliability and validity were verified, with IOC values ranging from 0.67 to 1.00. The data were analyzed using descriptive statistics and Independent Samples t-tests.

Findings: A significant majority of respondents (89.3%) expressed a need for IP registration. Key drivers included cognitive needs (knowledge), environmental contexts (information access), and affective factors (budget and surrounding conditions). Notably, IT support for online submission systems, aimed to reduce cognitive load, showed as the most critical demand.

Applications of this study: The findings are used to propose the "3Es Model" (Easy Access, Electronic System, Ecosystem Support) as a guideline for organizational policy formulation, information system design, and the development of a mentoring system to enhance IP protection in educational institutions.

Development of an Automated Database System to Enhance the Efficiency of Tuition Fee Revenue and Collaborative Program Management (CAMT-Revenue) Case Study: College of Arts, Media and Technology, Chiang Mai University

Jonglak Somrang — 2026-03-30

Purpose: This research aims to develop a database system for collecting tuition fees and managing joint program revenue (CAMT-Revenue). Moreover, it also seeks to improve the efficiency of budget planning and financial reporting for the university in a timely and accurate manner.

Methodology: The study employs a Research and Development approach utilizing the Lean four-step process: Check/Measure, Process Design, System Development, and Evaluation. The tools include API integration for retrieving data from the Registrar's Office, process mapping, and user acceptance testing through interviews and focus groups with personnel from three central departments.

Findings: The CAMT-Revenue system reduced operational time from 10 to 3 days, increasing efficiency by 70%. It replaced manual Excel storage with an automated "single source of truth," ensuring data integrity and real-time verification. Users reported high satisfaction due to reduced workloads and improved transparency in revenue tracking.

Applications of this study: This study is helpful for higher education administrators and financial officers in departments such as Educational Services, Policy and Planning, and Finance. The integrated Digital Automation model, combining Lean Thinking, Knowledge Management, and Data Integrity, can be applied to other university revenue streams or public sector financial management systems to eliminate waste.