An Analytical Approach for Job Evaluation in Turkey

Abstract

Subjectivity within most job evaluation techniques brings about challenges and pay inequity; therefore analytical decision making tools should be applied for ranking professions. This problem should be considered as a multi attribute decision-making problem. A Fuzzy Analytical Hierarchy Process is proposed to prevent inequity problem and analytically support managers in job evaluations in this research. As a case study professions from metal industry are evaluated with respect to three factors consisting of eleven sub-factors. The AHP is used to determine job evaluation criteria weights. The vagueness and subjectivity of managers are taken into account by linguistic parameters of triangular fuzzy numbers. The most important three sub-factors are identified as education, product responsibility and work environment. Five different salary groups are determined depending on analysis. Numerical analysis reveals the advantages of F-AHP in differentiating various jobs, where F-AHP provides satisfactory results for a reliable payment system.

Keywords

• Job Evaluation,Salary,Pay Inequity,Fuzzy AHP,Multi-Criteria Decision Making

References

1. References
2. Aras, H., Erdogmus, S., Koc, E., 2004. Multi-criteria selection for a wind observation station location using analytic hierarchy process. Renew. Energ. 29, 1383-1392.
3. Arthurs, A.J. (2015) Job design and evaluation: organizational aspects. International Encyclopedia of the Social & Behavioral Sciences (Second Edition), 816-818
4. Ayağ, Z., Özdemir, R.G., 2009. A hybrid approach to concept selection through fuzzy analytic network process. Comp. Ind. Eng., 56, 368-379.
5. Boran, S., Göztepe, K., 2010. Development of a fuzzy decision support system for commodity acquisition using fuzzy analytic network process. Expert Syst. Appl. 37, 1939-1945.
6. Bozdağ,C.E., Kahraman,C., Ruan,D. (2003) Fuzzy group decision making for selection among computer integrated manufacturing systems. Computers in Industry, 51,13-29.
7. Buckley,J.J. (1985) Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17,233-247.
8. Büyüközkan,G., Ertay,T., Kahraman,C., Ruan,D. (2004) Determining the importance weights for the design requirements in the house of quality using the fuzzy analytic network approach. International Journal of Intelligent Systems, 19,443-461.

9. Chang,D.Y. (1992) Extent Analysis and Synthetic Decision, Optimization Techniques and Applications. World Scientific, Singapore, 1992. Chang,D.Y. (1996) Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95,649-655.
10. Cheng,C.H. (1997) Evaluating naval tactical missile systems by fuzzy AHP based on the grade value of membership function. European Journal of Operational Research, 96,343-350.
11. Dağdeviren, M, Eren, T., 2001. Analytic hierarchy process and use of 0-1 goal programming methods in selecting supplier firm. J. Fac. Eng. Arch. Gazi Univ. 16, 41-52.
12. Dağdeviren,M., Kurt,M. (2004) Job evaluation, use of goal programming technique at determine factor degree points. Journal of the Faculty of Engineering and Architecture of Gazi University, 19,89-95.
13. Das,B., Garcia-Diaz,A. (2001) Factor selection guidelines for job evaluation: A computerized statistical procedure. Computers & Industrial Engineering, 40,259-272.
14. Deng,H. (1999) Multi-criteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21,215-231.
15. Doverspike,D., Carlisi,A.M., Garrett,G.V., Alexander,R.A. (1983) Generalizability analysis of a point-method job evaluation instrument. Journal of Applied Psychology, 68,476-483.
16. Erensal,Y.C., Öncan,T., Demircan,M.L.(2006) Determining key capabilities in technology management using fuzzy analytic hierarchy process:A case study of Turkey. Information Sciences, 176,2755-2770.
17. Ertay,T., Ruan,D., Tuzkaya,U.R. (2006) Integrating data envelopment analysis and analytic hierarchy for the facility layout design in manufacturing Systems. Information Sciences, 176, 237-262.
18. Figart,D.M. (2000) Equal pay for equal work: The role of job evaluation in an evolving social norm. Journal of Economic Issues, 34,1-19.
19. Gupta, J.N.D., Ahmed,N.U. (1988). A goal programming approach to job evaluation. Computers & Industrial Engineering, 14,147-152.
20. Gupta, S., Chakraborty, M. (1988) Job evaluation in fuzzy environment. Fuzzy Sets and Systems, 100,71-76.Kahraman, C., Ruan,D., Tolga,E. (2002) Capital budgeting techniques using discounted fuzzy versus probabilistic cash flows. Information Sciences, 42,57-76.
21. Kahraman,C., Ruan,D., Doğan, İ. (2003) Fuzzy group decision-making for facility location selection. Information Sciences, 157,135-153.
22. Kahraman,C., Cebeci,U., Ruan,D. (2004) Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal Production Economics, 87,171-184.
23. Kahraman,C., Ertay,T., Büyüközkan, G. (2006) A fuzzy optimization model for QFD planning process using analytic network approach. European Journal of Operational Research, 171,390-411.Kim P.P, Lee K.J, Lee B.W., 1999. Selection of an optimal nuclear fuel cycle scenario by goal programming and the analytic hierarchy process. Ann. of Nucl. Energy, 26, 449-460.
24. Kulak, O., Kahraman,C. (2005) Fuzzy multi-attribute selection among transportation companies using axiomatic design and analytic hierarchy process. Information Sciences, 170, 191-210.
25. Kuo R.J., Chi S.C., Kao, S.S., 2002. A decision support system for selection convenience store location through integration of fuzzy AHP and artificial neural network. Comp. Ind. 47, 199-214.
26. Kwong, C.K., Bai, H. (2003) Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IIE Transactions, 35,619-626.
27. Lee, H., Lee, S., Park, Y., 2009. Selection of technology acquisition mode using the analytic network process. Math. Comp. Model. 49, 1274-1282.
28. Leung, L.C., Cao, D. (2000) On consistency and ranking of alternatives in fuzzy AHP. European Journal of Operational Research, 124,102-113.
29. Mahmood, M.A., Gowan,M.A., Wang, S. (1995) Developing a prototype job evaluation expert system: A compensation management application. Information & Management, 29, 9-28.
30. Meade, L.M., Sarkis, J., 1999. Analyzing organizational project alternatives for agile manufacturing processes: an analytical network approach. Int. J. Prod. Res. 37, 241-261
31. McCormick, E.M. (1979), Job analysis: Methods and application, New York.
32. Mikhailov, L. (2004) A fuzzy approach to deriving priorities from interval pairwise comparison judgments. European Journal of Operational Research, 159,687-704.
33. Rutt, S.M., Doverspike,D. (1999) Salary and organizational level effects on job evaluation ratings. Journal of Business and Psychology, 14,379-385.
34. Saaty,T.L. (1980) The Analytic Hierarchy Process, McGraw-Hill, New York.
35. Saaty, T.L., Takizawa, M., 1986. Dependence and independence: from linear hierarchies to nonlinear Networks. Eur. J. Oper. Res. 26, 229-237.
36. Saaty, T.L., 1996. Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh.
37. Smith, B.N., Benson, P.G., Hornsby,J.S. (1990) The Effects of Job Description Content on Job Evaluation Judgments. Journal of Applied Psychology, 75,301-309.
38. Spyridakos,A., Siskos,Y., Yannacopoulos,D., Skouris,A. (2001) Multicriteria job evaluation for large organizations. . Eur. J. Oper. Res. 130,375-387.
39. Şenol, M.B. Dağdeviren, M. Kurt, M. (2013) A multi criteria approach for aircraft cockpit interface evaluation. . J. Fac. Eng. Arch. Gazi Univ. 28 (4), 685-693.
40. Tiffany,C., Lütjens,L.R. (1993) Pay inequity: It's still with us. Journal of Professional Nursing, 9, 50-55.
41. Tolga,E., Demircan,M.L., Kahraman,C., Operating system selection using fuzzy replacement analysis and analytic hierarchy process. International Journal of Production Economics, 97, 89-117.
42. Van Laarhoven,P.J.M, Pedrycz, W. (1983) A fuzzy extension of Saaty’s priority theory. Fuzzy Sets and Systems, 11,229-241.
43. Vinodh, S., Ramiya, R.A., Gautham, S.G., 2011. Application of fuzzy analytic network process for supplier selection in a manufacturing organisation. Expert Syst. Appl. 38, 272-280.Weiner,N.J. (1991) Job evaluation systems: A critique. Human Resource Management Review, 1,119-132.
44. Wolfslehner, B., Vacik, H., Lexer, M.J., 2005. Application of the analytic network process in multi-criteria analysis of sustainable forest management. For. Ecol. Manag. 207, 157-170.
45. Xiaohua, W., Zhenmin, F., 2002. Sustainable development of rural energy and its appraising system in Chine. Renew. Sustain. Energ. Rev. 6, 395-404.
46. Yedla, S., Shresta, R.M., 2003. Multi-criteria approach for the selection of alternative options for environmentally sustainable transport system in Delhi. Transp. Res. 37, 717-729.
47. Yılmaz, B., Dağdeviren, M., 2010. Comparative analysis of PROMETHEE and fuzzy PROMETHEE methods in equipment selection problem. in press. J. Fac. Eng. Arch. Gazi Univ. 25(4), 811-826.
48. Yüksel, İ., Dağdeviren, M., 2007. Using the analytic network process (ANP) in a SWOT analysis-A case study for a textile firm. Inf. Sci. 177, 3364-3382.
49. Zadeh,L.A. (1965) Fuzzy sets. Information and Control, 8,338-353.