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

Author

Listed:
  • 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
    Zhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528402, China
    Business and Law School, Foshan University, Foshan 528000, China
    Economics and Management College, Civil Aviation University of China, Tianjin 300300, 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)

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.

Suggested Citation

  • Qunzhen Qu & Wenjing Wang & Mengxue Tang & Youhu Lu & Sang-Bing Tsai & Jiangtao Wang & Guodong Li & Chih-Lang Yu, 2017. "A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises," Sustainability, MDPI, vol. 9(4), pages 1-10, April.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:4:p:632-:d:96016
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    References listed on IDEAS

    as
    1. Ubeda, S. & Arcelus, F.J. & Faulin, J., 2011. "Green logistics at Eroski: A case study," International Journal of Production Economics, Elsevier, vol. 131(1), pages 44-51, May.
    2. Sang-Bing Tsai & Yu-Min Wei & Kuan-Yu Chen & Lei Xu & Peng Du & Hung-Chun Lee, 2016. "Evaluating green suppliers from a green environmental perspective," Environment and Planning B, , vol. 43(5), pages 941-959, September.
    3. Xinyang Deng & Yong Deng & Felix Chan, 2014. "An improved operator of combination with adapted conflict," Annals of Operations Research, Springer, vol. 223(1), pages 451-459, December.
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    Cited by:

    1. Aijun Liu & Haiyang Liu & Yaxuan Xiao & Sang-Bing Tsai & Hui Lu, 2018. "An Empirical Study on Design Partner Selection in Green Product Collaboration Design," Sustainability, MDPI, vol. 10(1), pages 1-21, January.
    2. Vladimir Jakovljevic & Mališa Zizovic & Dragan Pamucar & Željko Stević & Miloljub Albijanic, 2021. "Evaluation of Human Resources in Transportation Companies Using Multi-Criteria Model for Ranking Alternatives by Defining Relations between Ideal and Anti-Ideal Alternative (RADERIA)," Mathematics, MDPI, vol. 9(9), pages 1-25, April.

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