The Development of Information Systems for the Management of Research Grants
DOI:
https://doi.org/10.14456/jiskku.2025.25Keywords:
Research management system, Research grant funding, SDLC, Information system developmentAbstract
Purpose: To develop and evaluate an information system for managing internal research grant funding at Northeastern University, and to assess user satisfaction with the system.
Methodology: This study employed a Research and Development (R&D) design and adopted the Software Development Life Cycle (SDLC) approach, which consists of five main phases: (1) user requirements analysis, (2) system design, (3) system development, (4) system testing, and (5) system maintenance. The system was developed using the Bootstrap Framework for the front-end interface, integrated with PHP for the back-end and MySQL as the database system. The system supports the Research and Academic Services Office in managing research grants, including annual proposal submission, project monitoring, and research budget administration. Purposive sampling was used to select participants, comprising three experts in information systems development who evaluated the system’s performance and forty-six users (six senior administrators and forty researchers) who assessed user satisfaction. Data were analyzed using descriptive statistics—percentage, mean, and standard deviation—to determine the efficiency and levels of user satisfaction.
Findings: An analysis of the existing workflow and user interviews revealed that the current research grant management process relies heavily on paper-based documentation, leading to delays, data redundancy, and difficulties in retrieving and summarizing information. To address these issues, the researcher developed a new system using Context Diagrams, Data Flow Diagram, and E-R Diagram to ensure user requirements and to enhance operational efficiency. The evaluation results indicated high system performance.
Applications of this study: The developed information system can be applied to other educational institutions with similar contexts to enhance internal research grant management, improve systematic budget allocation, and facilitate efficient data retrieval and reporting.
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