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

Qunzhen Qu (), Wenjing Wang (), Mengxue Tang (), Youhu Lu (), Sang-Bing Tsai (), Jiangtao Wang (), Guodong Li () and Chih-Lang Yu ()
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Qunzhen Qu: School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China
Wenjing Wang: School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China
Mengxue Tang: Zhongtai Securities Company Limited, Shanghai Company Research Institute, Shanghai 200120, China
Youhu Lu: School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China
Sang-Bing Tsai: School of Economics & Management, Shanghai Maritime University, Shanghai 201306, China
Jiangtao Wang: Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China
Guodong Li: Economics and Management College, Civil Aviation University of China, Tianjin 300300, China
Chih-Lang Yu: Business School, Nankai University, Tianjin 300071, China

Sustainability, 2017, vol. 9, issue 4, 1-10

Abstract: 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.

Keywords: low-carbon logistics enterprises human resources; performance evaluation; AHP; analytic hierarchy process; green management; gray evaluation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q2 Q3 Q5 Q56 O13 (search for similar items in EconPapers)
Date: 2017
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