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Enterprise Human Resource Allocation under the Background of Wireless Communication and Internet of Things

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  • Yi Cao
  • Wen-Tsao Pan

Abstract

With the rapid development of computer software and hardware technology, new progress has been made in wireless communication technology, and the Internet of Things technology has gradually penetrated into the daily work of citizens, which has led to a comprehensive upgrade of the work mode. In the context of increasing technological progress, market competition in various industries has gradually intensified, and enterprises also need to make corresponding adjustments to adapt to the development of the times. Human resource management, as the most important management link of contemporary enterprises, has a non-negligible influence on the development of enterprises, especially large and medium-sized enterprises. In order to adapt to the development of the times, most enterprises will choose to make timely adjustments to human resource allocation strategies. If an enterprise wants to develop in the fiercely competitive market, it needs to excavate talents and configure a reasonable human resource system. Starting from the related concepts of wireless communication, Internet of Things technology, and enterprise human resource allocation, this paper adopts the method of questionnaire survey to analyze the current situation and existing problems of human resource allocation in a large banking enterprise and then proposes targeted solutions for the existing problems. The ultimate goal of the plan is to optimize the allocation of human resources in the enterprise. The contribution of this paper is to select the relatively special field of banking for investigation and analysis, which fills the research gap to a large extent.

Suggested Citation

  • Yi Cao & Wen-Tsao Pan, 2022. "Enterprise Human Resource Allocation under the Background of Wireless Communication and Internet of Things," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-8, July.
  • Handle: RePEc:hin:jnlmpe:3922593
    DOI: 10.1155/2022/3922593
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