performance
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Performance and Reward Management
Performance and Reward Management
Performance & Reward Management
Introduction 所谓绩效管理，是指各级管理者和员工为了达到组织目标共同参与的绩效计划制定、绩效辅导沟通、绩效考核评价、绩效结果应用、绩效目标提升的持续循环过程，绩效管理的目的是持续提升个人、部门和组织的绩效。绩效计划制定是绩效管理的基础环节，不能制定合理的绩效计划就谈不上绩效管理；绩效辅导沟通是绩效管理的重要环节，这个环节工作不到位，绩效管理将不能落到实处；绩效考核评价是绩效管理的核心环节，这个环节工作出现问题绩效管理会带来严重的负面影响；绩效结果应用是绩效管理取得成效的关键，如果对员工的激励与约束机制存在问题，绩效管理不可能取得成效。 绩效管理强调组织目标和个人目标的一致性，强调组织和个人同步成长，形成“多赢”局面；绩效管理体现着“以人为本”的思想，在绩效管理的各个环节中都需要管理者和员工的共同参与。 绩效管理工作作为整个企业激励体制的基础和人力资源管理的关键，已经逐渐成为现代企业广泛运用的一种开发人力潜能为中心的科学管理模式，受到普遍关注。其作为人力资源管理的一个重要组成部分，已成为企业培育核
Performance and Reward Management
Performance and Reward Management
Performance & Reward Management
Introduction 所谓绩效管理，是指各级管理者和员工为了达到组织目标共同参与的绩效计划制定、绩效辅导沟通、绩效考核评价、绩效结果应用、绩效目标提升的持续循环过程，绩效管理的目的是持续提升个人、部门和组织的绩效。绩效计划制定是绩效管理的基础环节，不能制定合理的绩效计划就谈不上绩效管理；绩效辅导沟通是绩效管理的重要环节，这个环节工作不到位，绩效管理将不能落到实处；绩效考核评价是绩效管理的核心环节，这个环节工作出现问题绩效管理会带来严重的负面影响；绩效结果应用是绩效管理取得成效的关键，如果对员工的激励与约束机制存在问题，绩效管理不可能取得成效。 绩效管理强调组织目标和个人目标的一致性，强调组织和个人同步成长，形成“多赢”局面；绩效管理体现着“以人为本”的思想，在绩效管理的各个环节中都需要管理者和员工的共同参与。 绩效管理工作作为整个企业激励体制的基础和人力资源管理的关键，已经逐渐成为现代企业广泛运用的一种开发人力潜能为中心的科学管理模式，受到普遍关注。其作为人力资源管理的一个重要组成部分，已成为企业培育核
Numerical Analysis of the Detection Performance
Numerical Analysis of the Detection Performance
of Ground Coupled Radars
for Different Antenna Systems and Signal Features
Davide Comite1, Alessandro Galli1, Elena Pettinelli2, and Guido Valerio3
Department of Information Engineering, Electronics and Telecommunications (DIET)
“Sapienza” University of Rome, Via Eudossiana 18, 00184 Rome, Italy
e-mail: {comite, galli}@diet.uniroma1.it 2
Department of Mathematics and Physics
“Roma Tre” University, Via della Vasca Navale 84, 00146 Rome, Italy
e-mail: pettinelli@fis.uniroma3.it
3
Institut
Performance Management ( A model and research agenda)
ERIM R EPORT S ERIES R ESEARCH IN M ANAGEMENT
ERIM Report Series reference number
ERS-2004-068-ORG Publication
July 2004 Number of pages
21 Email address corresponding author
denhartog@few.eur.nl Address Erasmus Research Institute of Management (ERIM)
Rotterdam School of Management / Rotterdam School of Economics
Erasmus Universiteit Rotterdam
P.O.Box 1738
3000 DR Rotterdam, The Netherlands
Phone: +31 10 408 1182
Fax: +31 10 408 9640
Email: info@erim.eur.nl
Internet: erim.eur.nl
Bibliographic data and classifications of all the ERIM
FPGA Defragmentation for Sustainable Performance in Reconfigurable Computers
Abstract ? Defragmentation is a fundamental resource management service allowing Reconfigurable Computing Systems (RCSs) to efficiently utilize resources when tasks are dispatched dynamically. Only well orchestrated interactions between these three compone
This document is an author-formatted work. The definitive version for citation appears as:
A. Ejnioui and R. F. DeMara, “ Area Reclamation Metrics for SRAM-based Reconfigurable Device,” in the Proceedings of The International Conference on Engineering of Reconfigurable Syst
FPGA Defragmentation for Sustainable Performance in Reconfigurable Computers
Abstract ? Defragmentation is a fundamental resource management service allowing Reconfigurable Computing Systems (RCSs) to efficiently utilize resources when tasks are dispatched dynamically. Only well orchestrated interactions between these three compone
This document is an author-formatted work. The definitive version for citation appears as:
A. Ejnioui and R. F. DeMara, “ Area Reclamation Metrics for SRAM-based Reconfigurable Device,” in the Proceedings of The International Conference on Engineering of Reconfigurable Syst
Storage device performance prediction with CART models
Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment. This work explores the application of a machine learning tool, CART models, to storage device modeling. Our appr
StorageDevicePerformancePredictionwithCART
Models
MengzhiWang,KinmanAu,AnastassiaAilamaki,
AnthonyBrockwell,ChristosFaloutsos,andGregoryR.Ganger
CMU-PDL-04-103
March2004
ParallelDataLaboratoryCarnegieMellonUniversityPittsburgh,PA15213-3890
Abstract
Storagedeviceperformancepredicti
Clustering using firefly algorithm Performance study
萤火虫算法
SwarmandEvolutionaryComputation1(2011)
164–171
ContentslistsavailableatSciVerseScienceDirect
SwarmandEvolutionaryComputation
journalhomepage:
/locate/swevo
Regularpaper
Clusteringusingfireflyalgorithm:Performancestudy
J.Senthilnath,S.N.Omkar ,V.Mani
DepartmentofAerospaceEngineering,IndianInstituteofScience,Bangalore,India
articleinfoabstract
AFireflyAlgorithm(FA)isarecentnatureinspiredoptimizationalgorithm,thatsimulatestheflashpatternandcharacteristicsoffireflies.Clusteringisapopulardataanalysistechniquetoidentifyhomogeneousgroup
Automatic Tuning Matrix Multiplication Performance on Graphics hardware
Automatic Tuning Matrix Multiplication Performance on Graphics HardwareChanghao Jiang (cjiang@cs.uiuc.edu)Lecture notes for CS498dp Fall 2006 University of Illinois Urbana Champaign
University of Illinois Urbana Champaign
Outline! ! ! ! !
Introduction to GPGPU GPU architecture Programming model and the Brook language for GPU Automatic matrix multiply library generation on GPU Performance results
11/7/06
CS498dp Fall, 2006, University of Illinois Urbana Champaign
2
University of Illinois Urbana Champaign
Introduction!
The GPU on comm
Effect of a superheating and sub-cooling heat exchanger to the performance
Energy44(2012)996e1004
ContentslistsavailableatSciVerseScienceDirect
Energy
journalhomepage:/lo
cate/energy
Effectofasuperheatingandsub-coolingheatexchangertotheperformanceofagroundsourceheatpumpsystem
KadirBakirci*,DeryaColak1
DepartmentofMechanicalEngineering,AtatürkUniversity,25240Erzurum,Turkey
articleinfo
Articlehistory:
Received15November2011Receivedinrevisedform13April2012
Accepted20April2012
Availableonline7June2012Keywords:
GroundsourceheatpumpGroundheatexchangerColdclimateHeating
SuperheatingSub-cooling
abstract
Theaimofthis