Representing a Multi-Level Performance-based Rewarding Model Using Adjusted PROMETHEE Technique

Document Type : Original Article


1 Assistant Professor, Shahid Chamran University of Ahvaz.

2 MSc, Shahid Chamran University of Ahvaz.


This is a developmental research in terms of purpose, In terms of data collecting, it's a descriptive-survey and in terms of analyzing data, it's considered as a mathematical-analytic research method. This paper aims to provide a multi-level performance-based rewarding approach. In spite of a large number of multi-criteria techniques and methods and large number of criteria in the decision-making process, this research introduced a new multilevel model in order to overcome the shortcomings of previous models. Based on a modified PROMETHEE method, the preference functions has been extended for level function as the major innovation of the research. Finally, the proposed multilevel model has applied and examined using a data collection obtained from Iranian Oil Terminals Company.


1. Aghai, M., Fazli, S. (2012). Applying the DEMATEL and ANP combination approach to selecting the appropriate maintenance strategy (Case study: automotive industry enterprises). Industrial management perspective. 6: 89-107.
2. Aksakal, E., & Dağdeviren, M. (2014). Analyzing Reward Management Framework with Multi Criteria Decision Making Methods. Procedia-Social and Behavioral Sciences, 147: 147-152.‏
3. Amirkhani, T., Alikhani, F. (2015). Key Indicators of Organizational Performance Evaluation and Productivity Improvement: Balanced Scorecard Approach. Industrial management perspective, 20: 101-118.
4. Ayağ, Z., & Samanlioglu, F. (2016). An intelligent approach to supplier evaluation in automotive sector. Journal of Intelligent Manufacturing, 27(4): 889-903.‏
5. Bentes, A. V., Carneiro, J., da Silva, J. F., & Kimura, H. (2012). Multidimensional assessment of organizational performance: Integrating BSC and AHP. Journal of business research, 65(12): 1790-1799.‏
6. Bhattacharya, S., & Mukherjee, P. (2009). Rewards as a key to employee engagement: A comparative study on IT professionals. ASBM Journal of Management, 2(1): 160-175.
7. Bouri, A., Martel, J. M., & Chabchoub, H. (2002). A multi‐criterion approach for selecting attractive portfolio. Journal of Multi‐Criteria Decision Analysis, 11(4‐5): 269-277.
8. Bruggeman, W., & Decoene, V. (2002). An empirical study of the influence of Balanced Scorecard-based variable remuneration on the performance motivation of operating managers.‏
9. Crabtree, A. D., & DeBusk, G. K. (2008). The effects of adopting the balanced scorecard on shareholder returns. Advances in Accounting, 24(1): 8-15.‏
10. Downes, P. E., & Choi, D. (2014). Employee reactions to pay dispersion: A typology of existing research. Human Resource Management Review, 24(1): 53-66.‏
11. Fich, E. M., Rice, E. M., & Tran, A. L. (2016). Contractual revisions in compensation: Evidence from merger bonuses to target CEOs. Journal of Accounting and Economics, 61(2): 338-368.
12. Giancola, L. F. (2009). Is Total Rewards a Passing Fad? Compensation & Benefits Review, 41(4): 29-35.
13. Gupta, N., & Shaw, J. D. (2014). Employee compensation: The neglected area of HRM research. Human Resource Management Review, 24(1): 1-5.‏
14. Hanine, M., Boutkhoum, O., Agouti, T., & Tikniouine, A. (2016). A new integrated methodology using modified Delphi-fuzzy AHP-PROMETHEE for Geospatial Business Intelligence selection. Information Systems and e-Business Management: 1-29.‏
15. Jacobsen, DI & Thorsvik, J. (2008). Hur moderna organisationer fungerar. Fagbokforlaget, Bergen. Kent, ML, & Taylor, M: 10-20.‏
16. Kaplan, R. S., & Norton, D. P. (2005). The balanced scorecard: measures that drive performance. Harvard business review, 83(7): 172.‏
17. Keramati, A., & Shapouri, F. (2016). Multidimensional appraisal of customer relationship management: integrating balanced scorecard and multi criteria decision making approaches. Information Systems and e-Business Management, 14(2): 217-251.
18. Kilic, H. S., Zaim, S., & Delen, D. (2015). Selecting “The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5): 2343-2352.‏
19. Kozlowski, S. W., & Ilgen, D. R. (2006). Enhancing the effectiveness of work groups and teams. Psychological science in the public interest, 7(3): 77-124.‏
20. Ladley, D., Wilkinson, I., & Young, L. (2015). The impact of individual versus group rewards on work group performance and cooperation: A computational social science approach. Journal of Business Research, 68(11): 2412-2425.‏
21. Larkin, I., Pierce, L., & Gino, F. (2012). The psychological costs of pay‐for‐performance: Implications for the strategic compensation of employees. Strategic Management Journal, 33(10): 1194-1214.‏
22. Law, C. C., & Law, C. C. (2016). Using bonus and awards for motivating project employees. Human Resource Management International Digest, 24(7): 4-7.‏
23. Lei, J. (2011, May). Supplier evaluation via AHP and PROMETHEE. In E-Business and E-Government (ICEE), 2011 International Conference on: 1-4). IEEE.‏
24. Marasović, B., & Babić, Z. (2011). Two-step multi-criteria model for selecting optimal portfolio. International Journal of Production Economics, 134(1): 58-66.‏
25. Mareschal, B., Brans, J. P., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria analysis (No. 2013/9305). ULB--Universite Libre de Bruxelles: 477–490.‏
26. Matsson, A., & Dahlqvist, A. (2013). The impact of extrinsic and intrinsic rewards on employees’ motivation – A case study of an insurance company:‏ 1-46.
27. Murat, S., Kazan, H., & Coskun, S. S. (2015). An application for measuring performance quality of schools by using the PROMETHEE multi-criteria decision making method. Procedia-Social and Behavioral Sciences, 195: 729-738.‏
28. Nohria, N., Groysberg, B., & Lee, L. E. (2008). Employee motivation. Harvard business review, 86(7/8): 78-84.‏
29. Ranjan, R., Chatterjee, P., & Chakraborty, S. (2016). Performance evaluation of Indian states in tourism using an integrated PROMETHEE-GAIA approach. Opsearch, 53(1): 63-84.‏
30. Salehi, R. (2016). Provide a performance-based variable rewarding framework at Iran Oil Terminals Company. MSc. Shahid Chamran University of Ahvaz.
31. Salehi-Sedghiani, J., Jafarian, A., Shafiei-Nikabadi, M. (2012). The Performance Evaluation Framework for 5s Supervised Units (using the DEA Approach). Industrial Management Perspective, 6: 115-129.
32. Schweiker, M., & Groß, M. (2016). Organizational environments and bonus payments: Rent destruction or rent sharing? Research in Social Stratification and Mobility: 1-32.
33. Varmazyar, M., Dehghanbaghi, M., & Afkhami, M. (2016). A novel hybrid MCDM model for performance evaluation of research and technology organizations based on BSC approach. Evaluation and program planning, 58: 125-140.‏
34. Živković, Ž,. Nikolić, D., Savić, M., Djordjević, P., & Mihajlović, I. (2017). Prioritizing Strategic Goals in Higher Education Organizations by Using a SWOT–PROMETHEE/GAIA–GDSS Model. Group Decision and Negotiation: 1-18.‏
35. Zmitri, R., Martel, J. M., & Dumas, Y. (1998). Un indice multicritere de sante financiere pour les succursales bancaires. Revue FINECO, Finance, Economie, Comptabilite, 8(2): 107-121.