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Research on University Information Management Based on Nonlinear Matrix Organizational Structure

Author

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  • Ying Shi
  • Ning Cao

Abstract

The construction of data and automation in the field of teaching materials management in colleges and universities is an important part of teaching management in colleges and universities, and it is also a specific and heavy task. Therefore, improving the function of the college textbook management system and giving full play to the informatization service role of the college information management system are of great significance to improve the management efficiency of college textbooks and the quality of college teaching management. The research done still needs to be further deepened and still needs to be gradually improved in many aspects. For example, in order to make the application of the decision-making method proposed in this paper more convenient, it is necessary to further develop the supporting decision-making analysis software, which are practical problems that need to be improved and solved in the future. Aiming at the problems of traditional college textbook management mode, such as large manual workload, low work efficiency, unsound query and statistical functions, and postreview perimeter, this paper studies and designs a set of college information management system based on nonlinear matrix organizational structure. Based on the comprehensive integration methodology of nonlinear complex system theory, reductionism, and holism, this paper innovatively proposes a new analysis structure for complex problem evaluation and a value system for solution evaluation. The non-linear ANP decision-making method (collectively referred to as the new method) is proposed in this study. The new method judges the system state layer by layer from bottom to top based on the hierarchical overall judgment thinking, effectively revealing the behavior characteristics such as the emergence and mutation of complex systems. Compared with the traditional ANP decision-making method, the new method is more scientific and reliable than the traditional ANP decision-making method. This paper designs and develops a college information management system based on nonlinear matrix. Through the implementation test, it can be found that the system is helpful to improve the management level of college textbooks, reduce the irrelevant workload in the management of textbooks, and use data management for the decision-making of college textbooks.

Suggested Citation

  • Ying Shi & Ning Cao, 2022. "Research on University Information Management Based on Nonlinear Matrix Organizational Structure," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-11, June.
  • Handle: RePEc:hin:jnlmpe:9964513
    DOI: 10.1155/2022/9964513
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