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Virtualization of Comprehensive Personnel and Salary Management Based on Blockchain Big Data

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DOI: 10.23977/acss.2024.080102 | Downloads: 63 | Views: 311

Author(s)

Danqing Wu 1, Mengyi Zai 1, Feng Li 2

Affiliation(s)

1 Zhejiang Business College, Hangzhou, Zhejiang, China
2 Technology Department, Guanlan Network Technology Co., Ltd, Hangzhou, Zhejiang, China

Corresponding Author

Danqing Wu

ABSTRACT

With the development of digitalization and networking, personnel salary management in enterprises is facing more and more challenges. Traditional human resource management methods often require a lot of manpower and material resources, and there are some problems such as data being opaque and easy to be tampered with. In order to improve efficiency and ensure data security and accuracy, more and more enterprises began to explore the virtualization scheme of comprehensive personnel and salary management based on blockchain big data technology. In order to solve the salary management problem of small and medium-sized enterprises, this paper puts forward virtualization technology, wireless sensor network technology and radio frequency identification technology, and designs and analyzes the virtual comprehensive personnel and salary management. In addition, this paper designs and develops an integrated personal salary management system based on blockchain big data, realizes virtualization technology operation on the system, and tests the function of the system. Finally, the company's employee satisfaction survey shows that the system has good performance and improved the work efficiency of 5-6% employees and managers.

KEYWORDS

Blockchain Technology, Big Data Technology, Comprehensive Management of Personnel and Salary, Virtualized System

CITE THIS PAPER

Danqing Wu, Mengyi Zai, Feng Li, Virtualization of Comprehensive Personnel and Salary Management Based on Blockchain Big Data. Advances in Computer, Signals and Systems (2024) Vol. 8: 10-19. DOI: http://dx.doi.org/10.23977/acss.2024.080102.

REFERENCES

[1] Li Long, Huimin Zhang, and Yinhong Dong. "Mechanism construction of human resource management based on blockchain technology." Journal of Systems Science and Information 9.3 (2021): 310-320.
[2] Abdiyev A C, Alimardonov A A. Personnel Management in the field of Tourism. Scientific progress, 2022, 3(2): 495-501.
[3] Gökalp E, Demirörs O, Eren P E. Public personnel management process capability assessment. Public Personnel Management, 2020, 49(1): 111-140.
[4] Choi S. Flexible work arrangements and employee retention: A longitudinal analysis of the federal workforces. Public Personnel Management, 2020, 49(3): 470-495.
[5] Popkova E G, Zmiyak K V. Priorities of training of digital personnel for industry 4.0: social competencies vs technical competencies. On the Horizon, 2019, 27(3/4): 138-144.
[6] Krynke M. Risk management in the process of personnel allocation to jobs. System Safety: Human-Technical Facility-Environment, 2020, 2(1): 82-90.
[7] Peng Xin. "Feasibility Study on Shared Employees Based on Blockchain Technology." Journal of Computers 33.1 (2022): 209-214.
[8] Wang R. Research on the concept transformation of digital personnel management in the public department. Advances in Engineering Technology Research, 2022, 2(1): 256-256.
[9] Baballe, Muhammad Ahmad, and Fatima Alkasim Nababa. "A comparative study on radio frequency identification system and its various applications." International Journal of Advances in Applied Sciences (IJAAS) 2021, 10(4): 392-398.
[10] Brown-Brandl, Tami M., F Adrion, J Maselyne, A Kapun, E Gallmann. "A review of passive radio frequency identification systems for animal monitoring in livestock facilities." Applied Engineering in Agriculture 2019, 35(4): 579-591.
[11] Hui, Xiaonan, and Edwin C. Kan. "Radio ranging with ultrahigh resolution using a harmonic radio-frequency identification system." Nature Electronics 2019, 2(3): 125-131.
[12] Dastres, Roza, Mohsen Soori, and Mohammed Asamel. "Radio Frequency Identification (RFID) based wireless manufacturing systems, a review." Independent Journal of Management & Production 2022, 13(1): 258-290.
[13] Kryshtanovych M, Dragan I, Chubinska N, et al. Personnel Security System in the Context of Public Administration. IJCSNS International Journal of Computer Science and Network Security, 2022, 22(1): 248-254.
[14] Dessureault S. Rethinking fleet and personnel management in the era of IoT, big data, gamification, and low-cost tablet technology. Mining, Metallurgy & Exploration, 2019, 36(4): 591-596.
[15] Stuken T, Korzhova O. Strategic personnel management: Context of retirement age reform in Russia. Strategic Management, 2019, 24(4): 21-27.
[16] Chen Jian, Lv Zhihan, and Song Houbing. Design of personnel big data management system based on blockchain. Future Generation Computer Systems, 2019, 101, 1122-1129.

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