Journal of Decision Engineering
Volume 2, Issue 8 (9-2019)
2019, 2(8): 33-44 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
A model for calculating motivational payments to employees using fuzzy logic. Journal title 2019; 2 (8) :33-44
URL: http://jde.khu.ac.ir/article-1-93-en.html
URL: http://jde.khu.ac.ir/article-1-93-en.html
Abstract: (10581 Views)
The human resources employed by organizations are the main source of funds for managers, and HRM is the most important and perhaps most important task of managers. Behavior and activity of humans is due to their motives or needs. The issue of allocating fair rewards to those who have a motivational aspect has always been a concern for the managers of the organization. In this paper, we have tried to provide a model for calculating motivational payments to employees. Given the nature of the uncertainty of individuals in organizations, this research uses a fuzzy logic method to provide a methodology to address this issue. It is worth noting that the resulting model is presented to evaluate its effectiveness in a training organization and its results. Due to the obvious capabilities of the fuzzy method in helping to make decisions with uncertainty, this method will be used in the calculations of this model. The present model has been used for the number of 23 people in the organization and the motivational reward has been calculated per person. The results indicate that executives are fair and satisfied with the amount of rewards allocated to employees
Type of Study: Applicable |
Subject:
Special
Received: 2018/05/29 | Accepted: 2018/12/30 | Published: 2019/09/14
Received: 2018/05/29 | Accepted: 2018/12/30 | Published: 2019/09/14
References
1. Batta, Rajan, Berman, O., Wang, Q. (2007). Balancing staffing and switching osts in service center with flexible servers. European Journal of Operational Research 177 (2), 924-938. [DOI:10.1016/j.ejor.2006.01.008]
2. Dijk, Frans van, Sonnemans, Joep, Winden Frans van. (2009). "Incentive systems in a real effort experiment" . European Economic Review, Volume 45, Issue 2, February, Pages 187-214. [DOI:10.1016/S0014-2921(00)00056-8]
3. Franceschelli, Ignacio., Galiani, Sebastian., Gulmez, Eduardo. (2010). Performance pay and productivity of low - and high - ability workers. Labour Economics 17 (2010) 317-322. [DOI:10.1016/j.labeco.2009.04.006]
4. Ghoush, M.A., Samhouri, M., Al-Holy, M. & Herald, T. 2008. Formulation and fuzzy modeling of emulsion stability and viscosity of a gum-protein emulsifier in a model mayonnaise system. [DOI:10.1016/j.jfoodeng.2007.05.025]
5. Jansen E. Pieter., Merchant A. Kenneth., Van der stede, Wim A. (2009). National differences in incentive co mpensation practices: The differing roles of financial performance measurement in the United States and the Netherlands. Accounting, Organizations and Society. 34,pp: 58-84. [DOI:10.1016/j.aos.2008.05.002]
6. Kia, S. M. (2010). Fuzzy logic in matlab. First Edition .Kian Rayane Sabz Pub.( In Farsi).
7. Orny Kathrin. (2008). Pay - but do not pay too much, an experimental dy on the impact of incentives. Journal of Economic Behavior & anization. Vol. 66 (2008) 251-264. [DOI:10.1016/j.jebo.2006.03.007]
8. Ozluk, Ozgur., Elimam, Abdelghani A., Intraminense, Eduardo. (2010).Optimum service capacity and demand management with pric incentives. European Journal of Op erational Research 204 .pp .316-327. [DOI:10.1016/j.ejor.2009.10.005]
9. Perrin, Towers (2006). Managing global pay and benefits: worldwide total remuneration survey report. Stamford, CT: Towers Perrin.
10. Roman, Francisco. (2009). An analysis of changes to a team-based incentive plan and its effects on productivity, product quality, and absenteeism. Accounting, Organiza tions and Society 34. Pp: 589-618. [DOI:10.1016/j.aos.2008.08.004]
11. Stefanec, Patrick. (2010). Incentive pay: Productivity, sorting, and adjacent rents. The Journal of Socio-Economics 39 pp: 171-179 [DOI:10.1016/j.socec.2010.02.010]
12. Vaquiro, H. A., Bon J. and Dies, J. L. (2008).Fuzzy logic application to drying kinetics modeling. In: Proceedings of the 17th World Congress the International Federation of Automatic Control Seoul, Korea: 2206 - 2211. [DOI:10.3182/20080706-5-KR-1001.00372]
13. Yang, Taho, Chen, Chiu-Wen. (2009). "An incentive pay system for project management based on responsibility assignment matrix and fuzzy inguistic variables". Expert Systems with Applications, Volume 36, Issue 10, December, Pages 12585-12591. [DOI:10.1016/j.eswa.2009.05.067]
| Rights and permissions | |
 | This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |