Publication | Open Access
A Performance Evaluation Study of Human Resources in Low-Carbon Logistics Enterprises
14
Citations
18
References
2017
Year
Logistics ProcessesLogistics OptimizationEducationPerformance MeasurementHuman Resource ManagementPerformance Evaluation StudyLow-carbon Logistics EnterprisesSustainable Supply Chain ManagementQuality Function DeploymentProductivityManagement DevelopmentManagementLogistics ServiceLogisticsLogistics ModelHuman Resource DevelopmentLow CarbonAnalytic Hierarchy ProcessSupply Chain ManagementOperations ManagementRapid Economic DevelopmentManufacturing StrategyHuman ResourcesBusiness OperationsBusinessSupply Chain Analysis
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.
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Using modified grey forecasting models to forecast the growth trends of green materials Sang‐Bing Tsai, Yu‐Cheng Lee, Jiann-Jong Guo Proceedings of the Institution of Mechanical Engineers Part B Journal of Engineering Manufacture Forecasting MethodologyBusiness ForecastingEngineeringIndustrial EngineeringGreenness Assessment | 2013 | 59 |
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