An Early Warning Risk and Control Model for Manpower Capital Investment Using Data Warehousing and Computational Intelligence

Abstract

Human capital plays an important role in the development of enterprises. Investing in human capital is the main focus of enterprises to improve personnel quality and enhance their core competitiveness. With the development of market economy, the function of human resource market allocation has been improved and the mobility of enterprise human resources has been enhanced leading to the increase in investment risk of enterprise human capital. Enterprise human capital investment risk has a negative impact on enterprises, reduces the income of enterprises’ human capital investment, and affects their growth. Hence, enterprises need to avoid the risk of human capital investment or minimize the negative impact of risk. Using the data warehouse and computational intelligence, this paper constructs the early warning and control model for human capital investment risk and analyzes the existing approaches during the recruitment process and training, investment, and production, among enterprises. Finally, this paper proposes the corresponding control method according to the model inspiration.

Human Capital and Performance of Micro, Small and Medium Enterprises: A Literature Review

“…Employee health and well-being has a significant impact on MSME performance (Yu, 2013). Research has shown that positive employee health, including physical and mental well-being, is associated with increased work engagement and performance (Liu & Wang, 2022). Organizations that prioritize employee health and well-being can benefit from reduced personnel costs and increased productivity (Saeed et al, 2015).…”

Retracted: An Early Warning Risk and Control Model for Manpower Capital Investment Using Data Warehousing and Computational Intelligence

“…This article has been retracted by Hindawi following an investigation undertaken by the publisher [ 1 ]. This investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process: Discrepancies in scope Discrepancies in the description of the research reported Discrepancies between the availability of data and the research described Inappropriate citations Incoherent, meaningless and/or irrelevant content included in the article Peer-review manipulation …”

“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”