A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises

With China’s rapid economic development, restructuring the economy will require a development model based on high-to-low carbon transition. The development of logistics enterprises has its own characteristics associated with the trend of low carbon. This article discusses the significance of structuring a human resource performance evaluation system for low-carbon logistics enterprises. We used an analytic hierarchy process (AHP) and triangle-definite weighted functions as the technology platform to determine the performance evaluation and measure corporate status quo. The results can serve as a reference for companies to make the best talent decisions and achieve long-term development strategies. In addition, this study helps to make up for a lack of relevant research in this area.

[1]  F. Arcelus,et al.  Green logistics at Eroski: A case study , 2011 .

[2]  Sang-Bing Tsai,et al.  Using a Mixed Model to Evaluate Job Satisfaction in High-Tech Industries , 2016, PloS one.

[3]  Medio Día DISCUSSING AND EVALUATING GREEN SUPPLY CHAIN SUPPLIERS: A CASE STUDY OF THE PRINTED CIRCUIT BOARD INDUSTRY IN CHINA , 2015 .

[4]  Sang-Bing Tsai,et al.  Models for forecasting growth trends in renewable energy , 2017 .

[5]  Sang-Bing Tsai,et al.  A comprehensive survey of the relationship between self-efficacy and performance for the governmental auditors , 2016, SpringerPlus.

[6]  Qiang Wang,et al.  How to Evaluate the Job Satisfaction of Development Personnel , 2017, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[7]  Sang-Bing Tsai,et al.  Using a Mixed Model to Explore Evaluation Criteria for Bank Supervision: A Banking Supervision Law Perspective , 2016, PloS one.

[8]  Sang-Bing Tsai,et al.  Using grey models for forecasting China’s growth trends in renewable energy consumption , 2016, Clean Technologies and Environmental Policy.

[9]  Sang-Bing Tsai,et al.  Using Hybrid Model to Evaluate Performance of Innovation and Technology Professionals in Marine Logistics Industry , 2015 .

[10]  Sang-Bing Tsai,et al.  Using modified grey forecasting models to forecast the growth trends of green materials , 2014 .

[11]  Quan Chen,et al.  Integrating decision-making trial and evaluation laboratory model and failure mode and effect analysis to determine the priority in solving production problems , 2016 .

[12]  Xinyang Deng,et al.  An improved operator of combination with adapted conflict , 2014, Ann. Oper. Res..

[13]  Sankaran Mahadevan,et al.  Environmental impact assessment based on D numbers , 2014, Expert Syst. Appl..

[14]  Sang-Bing Tsai,et al.  Evaluating green suppliers from a green environmental perspective , 2016 .

[15]  Sang-Bing Tsai,et al.  An empirical research on evaluating banks’ credit assessment of corporate customers , 2016, SpringerPlus.

[16]  Peng Zhou,et al.  What is Low-Carbon Development? A Conceptual Analysis , 2011 .

[17]  Jian Yu,et al.  Exploring key factors in online shopping with a hybrid model , 2016, SpringerPlus.

[18]  F. Chan,et al.  IFSJSP: A novel methodology for the Job-Shop Scheduling Problem based on intuitionistic fuzzy sets , 2013 .