مقاله انگلیسی رایگان در مورد سیستم اطلاعات مدیریتی به منظور غرامت تحت معماری شبکه – هینداوی 2021

Abstract

1. Introduction

2. Problems of the Existing Compensation Data Management System

3. Design of Management Information System for Compensation under Multihoming Network Architecture

4. The Function and Effect of MNC-MIS

5. Conclusions and Future Work

Data Availability

Conflicts of Interest

Acknowledgments

References

Abstract

     The management information system for compensation under multihoming network architecture has been developed in order to improve the time efficiency, accuracy, and level of informatization of compensation management in university and deal with the rising data and difficulty in exchanging information between various management information systems resulting from the changing compensation policies. This system is designed based on multihost data network architecture, including function modules of all kinds of compensation promotion, personnel historical data management, time warning, statistics, and report generation. This system integrates my five years’ experience in the front-line of compensation management work. The purpose is to fully solve the practical problems of compensation management in universities, truly help the work of compensation administrators, unify the fragmented compensation management works, and comprehensively improve the level of compensation management. It has a strong popularization and signification for reference for the compensation management work of similar universities.

Introduction

     Compensation information management and statistical analysis is an important routine work of personnel department; the quality of data management directly affects the efficiency and quality of personnel management work [1]. Compensation information has the characteristics of fast update, complex, and trivial. The practical management working process is often faced with serious data redundancy, not timely update, repetitive work, sharing difficulties, and other problems. Information cannot be scientific management, and maintenance [2] will greatly reduce the efficiency and quality of personnel management.

     Public institution is a kind of social service organization for the purpose of public welfare in China, which is engaged in education, science and technology, culture, health, and other activities. Most colleges and universities [3] are public institutions, and the compensation management of public institutions has a strong policy focus. In short, the compensation of public institutions is composed of national compensation, uniformly prescribed allowance, local allowance, and institution allowance. The first three parts are uniformly prescribed by national or provincial policies. All public institutions within the scope of policy are subject to uniform references. All national public institutions have the same reference of national compensation, and all public institutions in the same province have the same reference of some provincial allowance. The institution allowance is the only part determined by the institution itself. Therefore, we can find that the compensation of public institutions has a strong continuity, especially the national compensation, which has the same reference all over the country.

Conclusions and Future Work

     This paper designs a kind of management information system for compensation under multihoming network architecture. Various compensation promotion module, time early warning module, personnel history data management module, statistics module, and report generation module and the detailed data flow have been designed. This MIS can achieve the functions of user authority management, compensationrelated information query, information statistics, and system maintenance and solve the problems of not comprehensive function, poor report processing function ability, cumbersome query, and statistics of the existing compensation management system. Using this MIS can achieve efficient intelligent management of compensation data.

     In future work, we will strive to improve the big data processing technology of the system, improve the data analysis and processing capacity of the system, improve network performance with advanced methods [22], and adopt or develop advanced artificial intelligence algorithms to further improve the intelligent decision-making and suggestion push function of the system. Moreover, we will seek to exchange information with other universities to establish a general compensation management platform and improve the overall compensation data management ability.