Published May 20, 2009 | Version 2353
Journal article Open

Performance Appraisal System using Multifactorial Evaluation Model

Description

Performance appraisal of employee is important in managing the human resource of an organization. With the change towards knowledge-based capitalism, maintaining talented knowledge workers is critical. However, management classification of "outstanding", "poor" and "average" performance may not be an easy decision. Besides that, superior might also tend to judge the work performance of their subordinates informally and arbitrarily especially without the existence of a system of appraisal. In this paper, we propose a performance appraisal system using multifactorial evaluation model in dealing with appraisal grades which are often express vaguely in linguistic terms. The proposed model is for evaluating staff performance based on specific performance appraisal criteria. The project was collaboration with one of the Information and Communication Technology company in Malaysia with reference to its performance appraisal process.

Files

2353.pdf

Files (194.0 kB)

Name Size Download all
md5:0e307f4788c303885845b9f5c6d335d9
194.0 kB Preview Download

Additional details

References

  • Moon, C., Lee, J., Jeong, C., Lee, J., Park, S. and Lim, S. (2007), "An Implementation Case for the Performance Appraisal and Promotion Ranking", in IEEE International Conference on System, Man and Cybernetics, 2007.
  • Adnan, S. and Minwir, A. (1998), "Fuzzy Logic Modeling for Performance Appraisal Systems - A Framework for Empirical Evaluation", Expert Systems with Applications, Vol. 14, No. 3, p. 323- 328.
  • Khairul, A. R and Qiang, S. (2006), "Data-Driven Fuzzy Rule Generation and Its Application for Student Academic Performance Evaluation", Applied Intelligence, Vol. 25, Issue. 3. p. 305-319.
  • Ab. Aziz Yusof. (2003), Performance Appraisal Issues, Challenges & Prospects, Pearson.
  • Dessler, G. (2000), Human Resource Management (8th Edition), New Jersey, Pearson Education, Inc.
  • Terrence, H. M. and Joyce, M. (2004), Performance Appraisals, ABA Labor and Employment Law Section, Equal Employment Opportunity Committee.
  • Vicky, G. (2002), Performance Appraisals, Loss Control Services, Texas Association of Counties.
  • Jing, R.C, Cheng, C. H. and Chen, L. S. (2007), "A Fuzzy-Based Military Officer Performance Appraisal System", Applied Soft Computing, Vol. 7, Issue. 3, p. 936-945.
  • Mehmed, K. (2003), Data Mining Concepts, Models, Methods, and Algorithms, Wiley-Interscience. [10] Tutmez, B., Kahraman, S. and Gunaydin, O. (2006), "Multifactorial Fuzzy Approach to the Sawability Classification of Building Stones", Construction and Building Materials, Vol.21, Issue 8, p. 1672-1679. [11] Emma, B. and Bryman, A. (2003), Business Research Methods. US: Oxford University Press. [12] Guifeng, G., Luo, Y. and Yan, B. (2006), "Fuzzy Evaluation System of Traffic Safety in Highway Tunnel" http://lib.hpu.edu.cn/comp_meeting/PROGRESS%20IN%20SAFETY% 20SCIENCE%20AND%20TECHNOLOGY%20VOL.V1/1989.doc [Accessed on 23th December 2008]