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This study aims to enhance financial resource allocation strategies by integrating management information systems with linear programming models.

May 7, 2026Open Access

Optimization of Financial Resource Allocation Using Management Information Systems and Linear Programming Models

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This study aims to enhance financial resource allocation strategies by integrating management information systems with linear programming models.
Developed a framework combining management information systems with linear programming for resource allocation.
Utilized data from MIS platforms including financial records and performance indicators.
Applied sensitivity analysis to understand model responses to varying budget constraints.
Proposed model produced consistent and feasible allocation outcomes across various scenarios.
Compared to traditional methods, the model achieved better resource distribution and enhanced overall efficiency.
Sensitivity analysis showed stable allocation patterns despite changes in budget and input parameters.

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Randomized trial evaluates financial resource allocation in organizations, suggesting improved efficiency through reporting and systems integration.

Ahmed Erfan Nahian (2026) studied this question.

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Randomized trial evaluates financial resource allocation in organizations, suggesting improved efficiency through reporting and systems integration.