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Management Science and Research

Management Science and Research is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of management science technology and research, on the combination of management science theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest management science theory and method research improvement in the fields of nature science, engineering t... [More] Management Science and Research is an international comprehensive professional academic journal of Ivy Publisher, concerning the development of management science technology and research, on the combination of management science theory and modern industrial technology. The main focus of the journal is the academic papers and comments of latest management science theory and method research improvement in the fields of nature science, engineering technology, economy and science, report of latest research result in the field of material subject, aiming at providing a good communication platform to transfer, share and discuss the theoretical and technical development of management science for professionals, scholars and researchers in this field, reflecting the academic front level, promote academic change and foster the rapid expansion of management science theory and application technology.

The journal receives manuscripts written in Chinese or English. As for Chinese papers, the following items in English are indispensible parts of the paper: paper title, author(s), author(s)'affiliation(s), abstract and keywords. If this is the first time you contribute an article to the journal, please format your manuscript as per the sample paper and then submit it into the online submission system. Accepted papers will immediately appear online followed by printed hard copies by Ivy Publisher globally. Therefore, the contributions should not be related to secret. The author takes sole responsibility for his views.

ISSN Print:2326-8689

ISSN Online:2326-8727

Email:msr@ivypub.org

Website: http://www.ivypub.org/msr/

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Paper Infomation

Application of Artificial Intelligence in Intelligent Decision-Making of Human Resource Allocation

Full Text(PDF, 290KB)

Author: He Ma

Abstract: In the process of the development of modern society, artificial intelligence has exerted varying degrees of influence on the production mode of modern society or the lifestyle of modern people. Artificial intelligence has been widely used in many fields, and it will have a certain impact on human resource management. The purpose of this paper is to study the intelligent decision-making of human resource allocation in the era of artificial intelligence. This research mainly use case analysis and data analysis to explore the artificial intelligence in human resources deployment of the application of intelligent decision-making, analysis of the artificial intelligence and the concepts related to the human resource allocation, artificial intelligence are analyzed based on the background now, in the current human resource allocation in application advantages, explore how artificial intelligence and human resource allocation, to better implement the intelligent decision of human resource allocation. The experimental results show that the combination of artificial intelligence and human resource allocation together can make managers real-time monitoring human resource configuration, as much as possible to achieve information-based regulation, a real-time dynamic, and it can fully tap the human resources potential, and improves the management work efficiency and management efficiency, realize the enterprise or the high quality and rapid development of colleges and universities.

Keywords: Artificial Intelligence, Human Resources, Resource Allocation, Intelligent Decision

References:

[1] Asma Enayet, Md. Abdur Razzaque, Mohammad Mehedi Hassan. A Mobility-Aware Optimal Resource Allocation Architecture for Big Data Task Execution on Mobile Cloud in Smart Cities[J]. IEEE Communications Magazine, 2018, 56(2):110-117.

[2] Scott T. Leatherdale, Joon Lee. Artificial intelligence (AI) and cancer prevention: the potential application of AI in cancer control programming needs to be explored in population laboratories such as COMPASS[J]. Cancer Causes and Control, 2019, 30(7):53-59.

[3] Maria E. Powell, Marcelino Rodriguez Cancio, David Young. Decoding phonation with artificial intelligence (DeP AI): Proof of concept[J]. Laryngoscope Investigative Otolaryngology, 2019, 4(3):9-14.

[4] Hamza Sellak, Brahim Ouhbi, Bouchra Frikh. Towards next-generation energy planning decision-making: An expert-based framework for intelligent decision support[J]. Renewable & Sustainable Energy Reviews, 2017, 80:1544-1577.

[5] Kellie Grant, Jenni White, Jenny Martin. The costs of risk and fear: a qualitative study of risk conceptualisations in allied health resource allocation decision-making[J]. Health Risk & Society, 2019, 53(10):1-17.

[6] Haylee Lane, Tamica Sturgess, Kathleen Philip. What Factors Do Allied Health Take Into Account When Making Resource Allocation Decisions?[J]. International Journal of Health Policy & Management, 2017, 7(5):412-420.

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