Abstract
Human resources are the cornerstone of operational operation. Good management of human resource information can enable businesses to operate effectively. However, for the time being, most enterprises still use traditional methods of allocating human resources, which are difficult to meet the development needs of enterprises. In order to find the optimal allocation of human resources in an enterprise, this article is based on “Internet + artificial intelligence,” using methods such as case analysis and literature analysis to collect data from databases such as CNKI, Wanfang Database, and SSCI, and uses fog computing to build a model for the optimal allocation of human resources which is proposed, and a large number of relevant literature studies are read and analyzed through the literature survey method. According to the research needs, through the research and summary of the content of the literature, the research structure found that there are many problems in the current human resource information management system. After the optimization of models and algorithms, the allocation of human resources has been greatly improved. The matching rate of personnel and job positions has increased by more than 50%. The operation efficiency index of the enterprise is above 0.8, an increase of about 30%. This shows that “Internet + artificial intelligence” can effectively optimize the enterprise human resource information management system, promote the greater use of its human resource value, bring higher economic returns to the enterprise, and provide assistance for the long-term stable and healthy development of the enterprise.
Highlights
In today’s society, human resources, as science, play a vital role in socioeconomic development and scientific and technological progress. ey are a very important social resource and can promote the development of other resources at the same time. e allocation of human resources is used as a link between people and material data. e organic chain together is a key link to whether human resources can play their full role [1]
Under the Internet thinking, the construction of human resource management mode in enterprises must fully consider the principle of people centeredness
Whether it is in the relationship between all members of the enterprise or the relationship between the enterprise and employees, the management, coordination, and combination of enterprise development can achieve significant results. is is one of the basic principles of the construction of a human-oriented Internet-thinking human resource management model [24]
Summary
In today’s society, human resources, as science, play a vital role in socioeconomic development and scientific and technological progress. ey are a very important social resource and can promote the development of other resources at the same time. e allocation of human resources is used as a link between people and material data. e organic chain together is a key link to whether human resources can play their full role [1]. Under the Internet thinking, due to the change of the status of human resources in enterprise management, as a result, the implementation methods of management functions at all levels have changed. Under the Internet thinking, the construction of human resource management mode in enterprises must fully consider the principle of people centeredness Whether it is in the relationship between all members of the enterprise or the relationship between the enterprise and employees, the management, coordination, and combination of enterprise development can achieve significant results. In order to enable enterprises to effectively use various resources in the context of the Internet and play an important role in human resource management, enterprises must innovate in human resource management from two aspects of technology and management, so that they can better conform to the development trend of the times, make enterprise management truly organically integrate with the Internet background, and meet the various needs of enterprise development in the new era [25]. Most of them have a college degree or above, accounting for more than 70%. e master’s degree is about 20%, far higher than the average employee
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