The weighted sum preferred levels of performances approach to solving problems in human resources management

  • Darjan Karabasevic Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad
  • Dragisa Stanujkic Technical Faculty in Bor, University of Belgrade
  • Bojan Djordjevic Faculty of Management Zajecar, John Naisbitt University
  • Ana Stanujkic Technical faculty in Bor, University of Belgrade


In the modern market and in competitive business conditions, human resources are the basis of achieving a long-term success and the key resource of competitive advantage. Therefore, employees represent one of the main strategic resources of an organization. The process of the recruitment and selection of personnel plays an extremely important role in human resources management, which tends to provide an organization with motivated and competent personnel. Therefore, the main objective of the paper is to present an approach to solving problems in human resource management, i.e. personnel selection, based on a recently developed multiple-criteria decision making method. The methodology used in the paper is based on the Weighted Sum Preferred Levels of Performances (WS PLP) method adapted for the purpose of an analysis based on decision-makers’ preferred levels of performances. The weights of the criteria are determined by using the Step-wise Weight Assessment Ratio Analysis method (the SWARA method). The final ranking order is established by using the weighted averaging operator. Usefulness and efficiency of the proposed approach are considered in the numerical example for the selection of the HR manager. As a result, WS PLP approach can be used for solving personnel selection problems. The proposed multiple-criteria decision-making based approach is easy to use, effective, applicable and adaptable, depending on the goal we want to achieve. In order to solve problems in other areas, the proposed approach can be easily modified.

Author Biographies

Darjan Karabasevic, Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad
PhD, Assistant Professor at the Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad
Dragisa Stanujkic, Technical Faculty in Bor, University of Belgrade
Associate Professor at the Technical Faculty in Bor, University of Belgrade
Bojan Djordjevic, Faculty of Management Zajecar, John Naisbitt University
Associate Professor at the Faculty of Management Zaječar, John Naisbitt University Belgrade.
Ana Stanujkic, Technical faculty in Bor, University of Belgrade
BSc in environmental protection, MSc student at the mining engineering department, Technical faculty in Bor, University of Belgrade.


Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology, 1(5), 511-515.

Albrecht, S.L., Bakker, A.B., Gruman, J.A., Macey, W.H., & Saks, A.M. (2015). Employee engagement, human resource management practices and competitive advantage: An integrated approach. Journal of Organizational Effectiveness: People and Performance, 2(1), 7-35.

Alfalla-Luque, R., García, J.A.M., & Medina-López, C. (2012). Is worker commitment necessary for achieving competitive advantage and customer satisfaction when companies use HRM and TQM practices? Universia Business Review, (36), 64-89.

Azizkhani, M., Vakili, A., Noorollahi, Y., & Naseri, F. (2017). Potential survey of photovoltaic power plants using Analytical Hierarchy Process (AHP) method in Iran. Renewable and Sustainable Energy Reviews, 75, 1198-1206.

Bánociová, A., & Martinková, S. (2017). Active Labour Market Policies of Selected European Countries and Their Competitiveness. Journal of Competitiveness, 9 (3), 5-21.

Belton, V., & Stewart, T. (2002). Multiple criteria decision analysis: an integrated approach. Springer Science & Business Media.

Boxall, P., & Purcell, J. (2011). Strategy and human resource management. Palgrave Macmillan.

Brans, J.P., & Vincke, P. (1985). A preference ranking organization method: The PROMETHEE method for MCDM. Management Science, 31(6), 647-656.

Brauers, W.K.M., & Zavadskas, E.K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics, 35(2), 445-469.

Brauers, W.K.M., & Zavadskas, E.K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy, 16(1), 5-24.

Chang, K.L. (2015). The Use of a Hybrid MCDM Model for Public Relations Personnel Selection. Informatica, 26(3), 389-406.

DeCenzo, D.A., Robbins, S.P., & Verhulst, S.L. (2015). Fundamentals of Human Resource Management. John Wiley & Sons, Hoboken.

Đurović, M. (2012). Human recourses management – strategic aspect. Management, 62, 95-101. (in Serbian)

Dursun, M., & Karsak, E.E. (2010). A fuzzy MCDM approach for personnel selection. Expert Systems with Applications, 37(6), 4324-4330.

El-Santawy, M.F. (2012). A VIKOR method for solving personnel training selection problem. International Journal of Computing Science, 1(2), 9-12.

Figar, N. (2007). Managing enterprise resources. University of Niš, Faculty of Economics, Niš. (in Serbian)

Fishburn, P.C. (1967). Letter to the editor—additive utilities with incomplete product sets: application to priorities and assignments. Operations Research, 15(3), 537-542.

Ghorabaee, M. K., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-Criteria Inventory Classification Using a New Method of Evaluation Based on Distance from Average Solution (EDAS). Informatica, 26(3), 435-451.

Ghorabaee, M.K., Zavadskas, E.K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 50(3), 25-44.

Griffin, R. W. (2011). Management. South-Western Cengage Learning, Mason.

Hafezalkotob, A., & Hafezalkotob, A. (2017). Interval target-based VIKOR method supported on interval distance and preference degree for machine selection. Engineering Applications of Artificial Intelligence, 57, 184-196.

Harsanyi, J.C. (1955). Cardinal welfare, individualistic ethics, and interpersonal comparisons of utility. Journal of Political Economy, 63(4), 309-321.

Hwang, C.L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Springer, New York.

Kabak, M. (2013). A Fuzzy DEMATEL-ANP Based Multi-Criteria Decision Making Approach For Personnel Selection. Journal of Multiple-Valued Logic & Soft Computing, 20(5), 571-593.

Karabasevic, D., Stanujkic, D., Urosevic, S., & Maksimovic, M. (2015). Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods. Acta Montanistica Slovaca, 20(2), 116-124.

Karabasevic, D., Zavadskas, E.K., Turskis, Z., & Stanujkic, D. (2016). The framework for the selection of personnel based on the SWARA and ARAS methods under uncertainties. Informatica, 27(1), 49-65.

Keršulienė, V., Zavadskas, E.K., & Turskis, Z. (2010). Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). Journal of Business Economics and Management, 11(2), 243-258.

Kulik, C.T., Roberson, L., & Perry, E.L. (2007). The multiple-category problem: Category activation and inhibition in the hiring process. Academy of Management Review, 32(2), 529-548.

Lin, C., Gao, F., & Bai, Y. (2017). An intelligent sampling approach for metamodel-based multi-objective optimization with guidance of the adaptive weighted-sum method. Structural and Multidisciplinary Optimization, 1-14.

Liu, H.C., Qin, J.T., Mao, L.X., & Zhang, Z.Y. (2015). Personnel Selection Using Interval 2-Tuple Linguistic VIKOR Method. Human Factors and Ergonomics in Manufacturing & Service Industries, 25(3), 370-384.

Mayfield, M., Mayfield, J., & Wheeler, C. (2016). Talent development for top leaders: three HR initiatives for competitive advantage. Human Resource Management International Digest, 24(6), 4-7.

Md Saad, R., Ahmad, M.Z., Abu, M.S., & Jusoh, M.S. (2014). Hamming distance method with subjective and objective weights for personnel selection. The Scientific World Journal, 2014, 1-9.

Mousavi, M., Gitinavard, H., & Mousavi, S.M. (2017). A soft computing based-modified ELECTRE model for renewable energy policy selection with unknown information. Renewable and Sustainable Energy Reviews, 68, 774-787.

Opricović, S., 1998. Multicriteria Optimization of Civil Engineering Systems, Faculty of Civil Engineering, Belgrade

Raj, S.O.N., & Prabhu, S. (2017). Analysis of multi objective optimisation using TOPSIS method in EDM process with CNT infused copper electrode. International Journal of Machining and Machinability of Materials, 19(1), 76-94.

Raju, K. S., Sonali, P., & Kumar, D. N. (2017). Ranking of CMIP5-based global climate models for India using compromise programming. Theoretical and Applied Climatology, 128(3-4), 563-574.

Roy, B. (1991). The Outranking Approach and the Foundation of ELECTRE Methods. Theory and Decision, 31(1), 49-73.

Saaty, T.L. (1980). Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York.

Salehi, K. (2016). An Integrated Approach of Fuzzy AHP and Fuzzy VIKOR for Personnel Selection Problem. Global Journal of Management Studies and Researches, 3(3), 89-95.

Stanujkic, D., & Zavadskas, E.K. (2015). A modified weighted sum method based on the decision-maker’s preferred levels of performances. Studies in Informatics and Control, 24(4), 61-470.

Stanujkic, D., Djordjevic, B., & Djordjevic, M. (2013a). Comparative analysis of some prominent MCDM methods: A case of ranking Serbian banks. Serbian Journal of Management, 8(2), 213-241.

Stanujkic, D., Magdalinovic, N., & Jovanovic, R. (2013b). A multi-attribute decision making model based on distance from decision maker's preferences. Informatica, 24(1), 103-118.

Torrington, D., Hall. L. & Taylor, S. (2002). Human Resource Management. Prentice-Hall, London.

Triantaphyllou, E., & Mann, S. H. (1989). An Examination of the Effectiveness of Multi-dimensional Decision-making Methods: A Decision-making Paradox. Decision Support Systems, 5(3), 303-312.

Valipour, A., Yahaya, N., Md Noor, N., Antuchevičienė, J., & Tamošaitienė, J. (2017). Hybrid SWARA-COPRAS method for risk assessment in deep foundation excavation project: an Iranian case study. Journal of Civil Engineering and Management, 23(4), 524-532.

Wright, P.M., & Nishii, L.H. (2007). Strategic HRM and organizational behavior: Integrating multiple levels of analysis. CAHRS Working Paper Series, 468.

Wright, P.M., McMahan, G.C., & McWilliams, A. (1994). Human resources and sustained competitive advantage: a resource-based perspective. International journal of human resource management, 5(2), 301-326.

Xu, L., & Yang, J.B. (2001). . Introduction to multi-criteria decision making and the evidential reasoning approach. Working Paper Series No. 0106, Manchester School of Management, University of Manchester Institute and Technology.

Zavadskas, E.K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy, 16 (2), 159-172.

Zavadskas, E.K., Kaklauskas, A., & Sarka, V. (1994). The new method of multicriteria complex proportional assessment of projects. Technological and Economic Development of Economy, 1(3), 131-139.

Zavadskas, E.K., Turskis, Z., Antucheviciene, J., & Zakarevicius, A. (2012). Optimization of weighted aggregated sum product assessment. Elektronika ir elektrotechnika, 122(6), 3-6.

Zeleny, M. (1973). Compromise programming. In: Cochrane, J.L., Zeleny, M. (Eds.), Multiple Criteria Decision Making. University of South Carolina Press, Columbia, 262–301.

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.

Original Scientific Paper