文章基本信息

标题：Optimization for the Human Resources Management Strategy of the IoT Industry Based on AHP
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作者：Jingjie Wang ; Wei Bai ; Yongbin Liu 等
期刊名称：Computational Intelligence and Neuroscience
印刷版ISSN：1687-5265
电子版ISSN：1687-5273
出版年度：2022
卷号：2022
DOI：10.1155/2022/3514285
语种：English
出版社：Hindawi Publishing Corporation
摘要：Since the twenty-first century, new things are emerging in the market economy; the Internet is one of them. Internet of things (IoT) is a new thing, which combines computer, Internet, and mobile communication network after the third wave of information industry, the development of huge application prospect, has been listed as one of the five emerging strategic industries. With the rapid development of digital technology and market economy, to accelerate the competition in the market economy, intense competition in IoT industry also exists. Effect of human resource management to a certain extent determines the strength of the market competitiveness of an enterprise; the research about human resource management of the IoT industry is carried out in this paper, by analysis of the basic characteristics of the Internet industry and combining Internet enterprise competitiveness, and it is directly related to human resource of a number of factors and applies the AHP method to establish the Internet enterprise human resources management quality and the effect of the evaluation model. Finally, an IoT enterprise is taken as the study object, the human resources management quality assessment model studied in this paper is used to evaluate enterprise’s human resources management, and its existing human resources management strategy and its optimization are studied, which provide certain theory support to enhance its market competitiveness.