Earticle

초록

영어

Performance management is core part of enterprise human resources management, for any organization or enterprise a good, the secret to its success lies in the effective performance management. Through the enterprise performance management, it can motivate employees, improve employee satisfaction, will help the staff's personal goals combined with enterprise strategy, realize the goal of the enterprise and the balance of personal development, promote enterprise realize sustainable development. In this paper, we conduct research on enterprise performance management information system development and the robustness optimization based on data regression analysis and mathematical optimization theory. We firstly review the modern regression analysis approaches for large-scale data with the introduction of our proposed revised regression model for enterprises. Later, we summarize the state-of-the-art mathematical optimization models to select the most feasible one to serve as the tool for our system. Then, we analyze the performance of the current existing performance management information system and adopt the prior knowledge to optimize the system. The experimental result proves the feasibility and effectiveness of our system. The performance evaluation accuracy is enhanced from 86.7% to 93.5% and the system robustness is enhanced as well.

목차

Abstract
 1. Introduction
 2. The Regression Analysis for Large-scale Data
  2.1. The Overview of the Regression Analysis
  2.2. The Large-scale Data Regression Modification Approaches
 3. The Mathematical Optimization Theory
  3.1. The Review of the Optimization and the Applications
  3.2. The Revised and Modified Optimization Algorithm
 4. The Enterprise Performance Management Information System
  4.1. The Performance Evaluation Model
  4.2. The Performance Model and the Management System Development
 5. Experiment
 6. Conclusion and Summary
 References

키워드

저자

• Lei Liu [ Business School, Hunan University, Changsha, Hunan, P.R. China ]
• Hua Yang [ Business School, Hunan University, Changsha, Hunan, P.R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605