Performance Appraisal System using Multifactorial Evaluation Model

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.

Authors:



References:
[1] 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.
[2] 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.
[3] 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.
[4] Ab. Aziz Yusof. (2003), Performance Appraisal Issues, Challenges &
Prospects, Pearson.
[5] Dessler, G. (2000), Human Resource Management (8th Edition), New
Jersey, Pearson Education, Inc.
[6] Terrence, H. M. and Joyce, M. (2004), Performance Appraisals, ABA
Labor and Employment Law Section, Equal Employment Opportunity
Committee.
[7] Vicky, G. (2002), Performance Appraisals, Loss Control Services, Texas
Association of Counties.
[8] 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.
[9] 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]