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Related Experiment Video

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Evaluation of the Cognitive Performance of Hypertensive Patients with Silent Cerebrovascular Lesions

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Published on: April 23, 2021

An Empirical Study on Low-Carbon: Human Resources Performance Evaluation.

Quan Chen¹, Sang-Bing Tsai^2,3, Yuming Zhai⁴

¹Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China. zschenquan@gmail.com.

International Journal of Environmental Research and Public Health

|January 6, 2018

Summary

This study developed a human resource performance evaluation system for low-carbon logistics, focusing on employee capacity, performance, and attitude. The system aids talent management in achieving sustainability goals.

Keywords:

AHP model green environment green logistics green operation human resources low-carbon

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Area of Science:

Logistics Management
Human Resource Management
Sustainability Science

Background:

Low-carbon logistics is crucial for a sustainable economy, addressing energy consumption and global warming.
Effective human resource management is vital for logistics enterprises, especially in competitive, talent-scarce sectors.
Performance evaluations are critical for strategic development in low-carbon logistics firms.

Purpose of the Study:

To construct a human resource performance evaluation system for non-managerial employees in the low-carbon logistics sector.
To assess employees' low-carbon job capacity, job performance, and job attitude.
To provide a practical tool for improving human resource management in sustainable logistics.

Main Methods:

Development of a human resource performance evaluation system.
Application of the Analytic Hierarchy Process (AHP) method to determine indicator weights.
Case study analysis of a low-carbon logistics company.

Main Results:

The investigated company showed initial success in promoting low-carbon concepts and values.
Employees demonstrated excellent performance in job attitude and knowledge related to low-carbon practices.
The AHP method provided a rational weighting system, minimizing human bias.

Conclusions:

The developed evaluation system is significant for the strategic development of low-carbon logistics enterprises.
The findings support the practical application of the system in the logistics industry.
The study contributes to the literature on human resource management in sustainable logistics.