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Technique for outsourcing decision by PROMETHEE based on projection pursuit model and improved particle swarm optimization for human resource management

  • Yupeng Liu*
  • , Yijun Li
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Human, resource management (HRM) outsourcing attracts increasingly more attention, and selection of outsourcing functions for human resources management is very important in outsourcing activities. A decision method for outsourcing functions combined with the advantage of projection pursuit model (PP), improved particle swarm optimization (IPSO) and preference ranking organization methods for enrichment evaluations (PROMETHEE) is proposed. Based on the analysis of the affecting factors for development of HRM outsourcing, taking five factors, economics, risk, management, technique level, and strategy as evaluation criteria, PP and IPSO are used to determine the weight for the evaluation criteria of alternatives, PROMETHEE is used to determine the order of preference of alternatives, and sensitivity analysis is given. Finally, a numerical example is given to illustrate the validity of the proposed method.

Original languageEnglish
Title of host publicationChinese Control and Decision Conference, 2008, CCDC 2008
Pages1945-1950
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
EventChinese Control and Decision Conference 2008, CCDC 2008 - Yantai, Shandong, China
Duration: 2 Jul 20084 Jul 2008

Publication series

NameChinese Control and Decision Conference, 2008, CCDC 2008

Conference

ConferenceChinese Control and Decision Conference 2008, CCDC 2008
Country/TerritoryChina
CityYantai, Shandong
Period2/07/084/07/08

Keywords

  • Human resource management outsourcing
  • Improved particle swarm optimization
  • Preference ranking organization methods for enrichment evaluations
  • Projection pursuit model
  • Sensitivity analysis

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