Evidence map›Paper›PMID 29301375›Full record

ArticleInternational journal of environmental research and public health2018

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

Quan Chen, Sang-Bing Tsai, Yuming Zhai, Jie Zhou, Jian Yu, Li-Chung Chang, Guodong Li, Yuxiang Zheng, Jiangtao Wang

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. An Environmental Management Maturity Model of Construction Programs Using the AHP-Entropy Approach.International journal of environmental research and public health · 2018
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Quan ChenZhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China. zschenquan@gmail.com.
Sang-Bing TsaiZhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China. zhoujie_1980@126.com.
Yuming ZhaiSchool of Economics and Management, Shanghai Institute of Technology, Shanghai 201418, China. sangbing@hotmail.com.ORCID 0000-0001-6988-5829
Jie ZhouCollege of Tourism and Service Management, Nankai University, Tianjin 300071, China. yumingzhai@126.com.
Jian YuBusiness School, Nankai University, Tianjin 300071, China. yjian@cauc.edu.cn.
Li-Chung ChangZhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China.
Guodong LiEconomics and Management College, Civil Aviation University of China, Tianjin 300300, China. gdli@cauc.edu.cn.
Yuxiang ZhengSchool of Economics & Management, Shanghai Maritime University, Shanghai 201306, China. yxzheng@shmtu.edu.cn.
Jiangtao WangZhongshan Institute, University of Electronic Science and Technology of China, Zhongshan 528400, China. jiangtao-w@foxmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-carbon logistics meets the requirements of a low-carbon economy and is the most effective operating model for logistic development to achieve sustainability by coping with severe energy consumption and global warming. Low-carbon logistics aims to reduce carbon intensity rather than simply reduce energy consumption and carbon emissions. Human resources are an important part of the great competition in the logistics market and significantly affect the operations of enterprises. Performance evaluations of human resources are particularly important for low-carbon logistics enterprises with scarce talents. Such evaluations in these enterprises are of great significance for their strategic development. This study constructed a human resource performance evaluation system to assess non-managerial employees' low-carbon job capacity, job performance, and job attitude in the low-carbon logistics sector. The case study results revealed that the investigated company enjoyed initial success after having promoted low-carbon concepts and values to its non-managerial employees, and the success was demonstrated by excellent performance in its employees' job attitude and knowledge. This study adopts the AHP method to reasonably determine an indicator system of performance evaluation and its weight to avoid certain human-caused bias. This study not only fills the gap in the related literature, but can also be applied to industrial practice.

Indexed as

CarbonOccupationsHumansJob SatisfactionPersonnel ManagementWork PerformanceCarbonAHP modelgreen environmentgreen logisticsgreen operationhuman resourceslow-carbon

Identifiers

PMID29301375
PMCPMC5800161

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.