Improvement of business decision-making in IT industry using the MCDM approach

  • Maja Stanujkic ReMade
  • Gabrijela Popovic Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska, 11000 Belgrade
  • Svetlana Vukotic Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska, 11000 Belgrade
  • Darjan Karabasevic Faculty of Applied Management, Economics and Finance, University Business Academy in Novi Sad, Jevrejska, 11000 Belgrade
  • Dragisa Stanujkic Technical Faculty in Bor, University of Belgrade, Vojske Jugoslavije 12, Bor, Serbia https://orcid.org/0000-0002-6846-3074
Keywords: project managers, IT, business decision-making, MCDM, PIPRECIA-S, WS-PLP

Abstract


The selection of suitable individuals for key roles within the organization can significantly affect the business efficiency and performance of the organization. For this reason, this article discusses a multi-criteria decision-making procedure for candidates’ evaluation in the Information Technologies industry (IT) based on the combined use of Simplified Pivot Pairwise Relative Criteria Importance Assessment (PIPRECIA-S) and Weighted Sum with Preferred Levels of Performances (WS-PLP) methods. In the proposed approach, PIPRECIA-S was used to determine the criteria weights, while the WS-PLP method was used to evaluate candidates and harmonize the views of decision-makers attitudes. The applicability and usability of the proposed approach were considered in the case of selecting an IT Project Manager in an IT company, but it can easily be adapted for similar cases of candidate selection.

References

Bilgehan Erdem, M. (2016). A fuzzy analytical hierarchy process application in personnel selection in it companies: A case study in a spin-off company. Acta Physica Polonica A, 130(1), 331-334.
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.
Ersoy, Y. (2021). Personnel selection in the software industry by using entropy-based EDAS and CODAS methods. Türkiye Mesleki ve Sosyal Bilimler Dergisi, (6), 36-49.
Hwang, C.L. & Yoon, K. (1981). Multiple Attribute Decision Making Methods and Applications. Springer – Verlag, Berlin, Germany.
Karabasevic, D., Stanujkic, D., Djordjevic, B., & Stanujkic, A. (2018a). The weighted sum preferred levels of performances approach to solving problems in human resources management. Serbian Journal of Management, 13(1), 145-156.
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., Stanujkic, D., Popovic, G., & Brzakovic, M. (2018b). An approach to personnel selection in the IT industry based on the EDAS method. Transformations in Business & Economics, 17, 54-65.
Keršuliene, 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.
MacCrimon, K.R. (1968). Decision Making among Multiple Attribute Alternatives: A Survey and Consolidated Approach. Rand memorandum, RM-4823-ARPA.
Pamucar, D., Stevic, Z., & Sremac, S. (2018). A new model for determining weight coefficients of criteria in MCDM models: Full consistency method (FUCOM). Symmetry, 10, 393.
Popovic, G., Stanujkic, D., Karabasevic, D., Maksimovic, M., & Sava, C. (2019). Multiple criteria approach in the ranking of the sustainable indicators for cultural heritage sites. Quaestus, 14, 165-175.
Popovic, M. (2021). An MCDM approach for personnel selection using the CoCoSo method. Journal of process management and new technologies, 9(3-4), 78-88.
Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega, 53, 49-57.
Saaty, L.T. (1980). The Analytic Hierarchy Process. McGraw Hill Company: New York, NY, USA.
Shannon, C.E. (1948). A mathematical theory of communication. The Bell system technical journal, 27(3), 379-423.
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), 461-470.
Stanujkic, D., Karabasevic, D., & Cipriana, S. (2018). An application of the PIPRECIA and WS PLP methods for evaluating website quality in hotel industry. Quaestus, 12, 190-198.
Stanujkic, D., Karabasevic, D., & Zavadskas, E.K. (2017). A New Approach for Selecting Alternatives Based on the Adapted Weighted Sum and the SWARA Methods: A Case of Personnel Selection. Economic Computation & Economic Cybernetics Studies & Research, 51(3).
Stanujkic, D., Karabasevic, D., Popovic, G., & Sava, C. (2021). Simplified pivot pairwise relative criteria importance assessment (PIPRECIA-S) method. Romanian Journal of Economic Forecasting, 24(4), 141.
Stanujkic, D., Popovic, G., & Brzakovic, M. (2018b). An approach to personnel selection in the IT industry based on the EDAS method. Transformations in Business & Economics, 17(2), 32-44.
Stanujkic, D., Zavadskas, E.K., Karabasevic, D., Smarandache, F., & Turskis, Z. (2017). The use of the pivot pairwise relative criteria importance assessment method for determining the weights of criteria. Romanian Journal of Economic Forecasting, 20, 116-133.
Ulutas, A., Popovic, G., Stanujkic, D., Karabasevic, D., Zavadskas, E.K., & Turskis, Z. (2020). A new hybrid MCDM model for personnel selection based on a novel grey PIPRECIA and grey OCRA methods. Mathematics, 8(10), 1698.
Vujić, D., Stanujkić, D., Urošević, S., & Karabašević, D. (2016). An approach to leader selection in the mining industry based on the use of weighted sum preferred levels of the performances method. Mining and Metallurgy Engineering Bor, (4), 53-62.
Yazdani, M. Zarate, P., Zavadskas, E.K., & Turskis, Z. (2018). A Combined Compromise Solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(3), 2501–2519.
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.
Published
2024/04/12
Section
Original Scientific Paper