Evaluation software of project management by using measurement of alternatives and ranking according to compromise solution (MARCOS) method

  • Adis Puška Institute for Scientific Research and Development Brčko District of Bosnia and Herzegovina
  • Ilija Stojanović Al Ghurair University Dubai, United Arab Emirates
  • Aleksandar Maksimović Institute for Scientific Research and Development Brčko District of Bosnia and Herzegovina
  • Nasiha Osmanović Al Ghurair University Dubai, United Arab Emirates
Keywords: Project management, software, United Arab Emirates, MARCOS method


Every organization needs to invest in order for it to grow, and investments are made through projects. Thus, investment management is performed by applying project management techniques. Different project management software programs are used to manage multiple projects. There is a lot of project management software on the market, and four pieces of the software were selected and analyzed. In this paper, the best management software rated by the beneficiaries of these projects in the United Arab Emirates are explored. The research required for this study was conducted in the United Arab Emirates. The MARCOS method was used to evaluate the program. The results showed that Smartsheet had been rated the best by users. This paper provides an overview of how multicriteria analysis methods can be used when ranking project management programs.


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Ahmad, N., & Laplante, P. (2006). Software Project Management Tools: Making a Practical Decision Using AHP. 2006 30th Annual IEEE/NASA Software Engineering Workshop. doi:10.1109/sew.2006.30 DOI: https://doi.org/10.1109/SEW.2006.30

Alencar, L. H., & Almeida, A. T. de. (2010). A model for selecting project team members using multicriteria group decision making. Pesquisa Operacional, 30(1), 221–236. doi:10.1590/s0101-74382010000100011 DOI: https://doi.org/10.1590/S0101-74382010000100011

Chang, Y. F., Watada, J., Ishii, H. (2012). A fuzzy MCDM approach to building a model of high performance project team – a case study. International Journal of Innovative Computing, Information and Control, 8(10 B), 7393–7404.

Chatzoglou, P. D., Theriou, N. G., Dimitriadis, E., & Aggelides, V. (2007). Software project management and planning: the case of the Greek IT sector. International Journal of Applied Systemic Studies, 1(3), 305-317. doi: 10.1504/ijass.2007.017713 DOI: https://doi.org/10.1504/IJASS.2007.017713

Erdogan, S. A., Šaparauskas, J., & Turskis, Z. (2019). A Multi-Criteria Decision-Making Model to Choose the Best Option for Sustainable Construction Management. Sustainability, 11(8), 2239. doi:10.3390/su11082239

Gharaibeh, H. M . (2014). Developing a Scoring Model to Evaluate Project Management Software Packages Based on ISO/IEC Software Evaluation Criterion. ournal of Software Engineering and Applications 7(1), 27-41. doi: 10.4236/jsea.2014.71004 DOI: https://doi.org/10.4236/jsea.2014.71004

Górecka, D. (2013). Multi-Criteria Decision Aiding in Project Management - Outranking Approach and Verbal Decision Analysis. Studia Ekonomiczne, 137, 11-38.

Hassan, I. ul, Ahmad, N., Zuhaira, B. (2018). Calculating completeness of software project scope definition. Information and Software Technology, 94, 208-233. doi:10.1016/j.infsof.2017.10.010 DOI: https://doi.org/10.1016/j.infsof.2017.10.010

Jafarnejad Chaghooshi, A., Arab, A., & Hosseini Dehshiri, S. J. (2016). A fuzzy hybrid approach for project manager selection. Decision Science Letters, 447–460. doi:10.5267/j.dsl.2016.1.001 DOI: https://doi.org/10.5267/j.dsl.2016.1.001

Khoshnava, S. M., Rostami, R., Valipour, A., Ismail, M., & Rahmat, A. R. (2018). Rank of green building material criteria based on the three pillars of sustainability using the hybrid multi criteria decision making method. Journal of Cleaner Production, 173, 82–99. doi:10.1016/j.jclepro.2016.10.066 DOI: https://doi.org/10.1016/j.jclepro.2016.10.066

Kostalova, J., Tetrevova, L. (2014). Project Management and its Tools in Practice in the Czech Republic. Procedia - Social and Behavioral Sciences, 150, 678-689. doi:10.1016/j.sbspro.2014.09.087 DOI: https://doi.org/10.1016/j.sbspro.2014.09.087

Piengang, F.C.N., Beauregard, Y., Kenné, J-P. (2019). An APS software selection methodology integrating experts and decisions-maker’s opinions on selection criteria: A case study. Cogent Engineering (2019), 6: 1594509. doi:10.1080/23311916.2019.1594509

Puška, A. (2013). Comparative analysis of MCDM methods in investment decision. Berlin: LAP LAMBERT Academic Publishing

Puška, A., Beganović I. A., Šadić, S. (2017). Uticaj subjektivnih procjena donosioca odluka na investicionu odluku. Serbian Journal of Engineering Managment, 2(2), 1-13. doi:10.5937/SJEM1702001P

Puška, A., Kozarević, S., Stević, Ž., Stovrag J. (2018). A New Way of Applying Interval Fuzzy Logic in Group Decision Making For Supplier Selection. Economic Computation and Economic Cybernetics Studies and Research, 52(2), 217-234, doi: 10.24818/18423264/

Rouhani, S., & Zare Ravasan, A. (2016). Fuzzy TOPSIS evaluation approach for business process management software acquisition. Intelligent Automation & Soft Computing, 23(3), 459–468. doi: 10.1080/10798587.2016.1251017 DOI: https://doi.org/10.1080/10798587.2016.1251017

Sajad, M., Sadiq, M., Naveed, K., Shahid Iqbal, M. (2016). Software Project Management: Tools assessment, Comparison and suggestions for future development. IJCSNS - International Journal of Computer Science and Network Security, 16(1), 31-42.

Stanković, M.; Stević, Ž.; Das, D.K.; Subotić, M.; Pamučar, D. (2020). A New Fuzzy MARCOS Method for Road Traffic Risk Analysis. Mathematics 8, 457. doi: 10.3390/math8030457

Stević, Ž., & Brković, N. (2020). A Novel Integrated FUCOM-MARCOS Model for Evaluation of Human Resources in a Transport Company. Logistics, 4(1), 4. doi: 10.3390/logistics4010004

Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement Alternatives and Ranking according to COmpromise Solution (MARCOS). Computers & Industrial Engineering, 140, article 106231. doi: 10.1016/j.cie.2019.106231

Wang, F.-K., Hsu, C.-H., & Tzeng, G.-H. (2014). Applying a Hybrid MCDM Model for Six Sigma Project Selection. Mathematical Problems in Engineering, 2014, 1-13. doi:10.1155/2014/730934 DOI: https://doi.org/10.1155/2014/730934

Zavadskas, E. K., Vainiūnas, P., Turskis, Z., Tamošaitienė, J. (2012). Multiple criteria decision support system for assessment of projects managers in construction. International Journal of Information Technology & Decision Making, 11(02), 501–520. doi:10.1142/s0219622012400135 DOI: https://doi.org/10.1142/S0219622012400135

How to Cite
Puška, A., Stojanović, I., Maksimović, A., & Osmanović, N. (2020). Evaluation software of project management by using measurement of alternatives and ranking according to compromise solution (MARCOS) method. Operational Research in Engineering Sciences: Theory and Applications, 3(1), 89-102. https://doi.org/10.31181/oresta2001089p