# AI-enabled workforce integration: blended human resource contribution rate in Chinese companies

## TL;DR

This paper explores how AI is changing employment in Chinese companies by analyzing the contribution of different types of workers to company performance.

## Contribution

The paper introduces a new method for calculating blended human resource contribution rates using BP-MIV, highlighting AI's role in workforce integration.

## Key findings

- Blended human resources contribute 73.81% to company performance, with formal employees contributing 19.55%.
- Flexible workers and intelligent machine workers contribute 20.26% and 34.00%, respectively, despite being fewer in number.
- The BP-MIV method outperforms traditional production function methods in capturing nonlinear workforce synergies.

## Abstract

With the development of AI technology, the employment mode of companies is undergoing unprecedented changes.

The paper defines the composition of blended human resources of a company as three types of formal employees, flexible workers and intelligent machine workers, constructs a blended human resource contribution rate calculation method based on BP-MIV, and analyzes the data of automobile manufacturing companies in 2022.

The results show that the contribution rate of blended human resources to company performance is 73.81%. Among them, the contribution rate of formal employees is 19.55%, while flexible workers and intelligent machine workers, despite their significantly smaller proportion in number compared to formal employees, have contribution rates of 20.26% and 34.00%, respectively. In further discussions, the calculation results of the blended human resource contribution rate based on the production function method were compared with those based on the BP-MIV method.

The findings indicate that the BP-MIV-based calculation method exhibits certain advantages in capturing nonlinear relationships, such as the synergistic effects of various types of blended human resources on company performance. This study attempts to propose a preliminary theoretical framework and methodological approach for blended human resource management research in the AI era.