Application of Data Resource Allocation in Economic Management Information System.

Area of Science:

• Information Science
• Economics
• Computer Science

Background:

• The digital economy generates vast amounts of economic data, increasing demand for efficient information management systems.
• Effective data resource allocation within these systems is a critical, unresolved challenge.

Purpose of the Study:

• To address the challenge of data resource allocation in economic management information systems.
• To introduce and validate a novel data resource allocation method.

Main Methods:

• Literature review of domestic and international research on data resource allocation.
• Detailed introduction of economic management information system structure and data resource allocation techniques.
• Comparative analysis and testing of the proposed GAA algorithm against existing algorithms (e.g., RAA).

Main Results:

• The GAA algorithm demonstrates superior effectiveness in data resource allocation compared to previous scholarly algorithms.
• The GAA algorithm reduces the number of allocated protocol function modules by 20% to 30% compared to the RAA algorithm.
• Significant network resource savings are achieved with the GAA algorithm.

Conclusions:

• The proposed GAA algorithm is a feasible and effective solution for data resource allocation in economic management information systems.
• The GAA algorithm offers substantial improvements in network resource efficiency over existing methods.
• This research validates the practical applicability of the GAA algorithm in managing large-scale economic data.