Decision Support Systems in Electronic Procurement for Public Sector Procurement: A Systematic Literature Review on Machine Learning Integration
DOI:
https://doi.org/10.52436/1.jutif.2026.7.2.5747Keywords:
Decision Support Systems, Multi-Criteria Decision Making, Procurement, Artificial Intelligence, Blockchain, SustainabilityAbstract
This study analyzes the evolution of Decision Support Systems (DSS) and Multi-Criteria Decision Making (MCDM) in public sector procurement between 2020 and 2025. Using bibliometric analysis of Scopus and Web of Science articles, the research focuses on themes such as e-procurement, supplier selection, public procurement, and the integration of intelligent technology. Network visualization, overlays, and density mapping were applied to explore keyword relationships, temporal trends, and research intensity. Findings reveal that in 2020, studies concentrated on transparency and digitalization in public e-procurement, with classical MCDA methods, fuzzy TOPSIS, and semantic DSS dominating the approaches. By 2022–2023, the emphasis shifted toward intelligent technologies, including artificial intelligence, neuro-fuzzy systems, and data mining algorithms. These innovations expanded DSS functions from evaluation to predictive analytics and optimization. Core themes such as supplier selection, optimization, and public procurement remained central, while emerging topics like sustainability and clinical decision support systems pointed to new research directions. A significant gap was identified in the university context. Although public sector e-procurement has been widely studied, no research has specifically addressed DSS–MCDM applications in higher education procurement systems. Consequently, future agendas should prioritize adaptive DSS tailored to universities, blockchain integration for transparency, and AI applications in clinical and humanitarian systems.
Downloads
References
M. Kibbeling, C. J. Gelderman, W. Broers, A. De Vries, J. Van Heeringen, and K. van IJsselmuide, “Barriers to Sustainable Procurement in Dutch Higher Education Institutions,” Sustainability, vol. 18, no. 4, p. 1722, Feb. 2026, doi: 10.3390/su18041722.
D. K. Wardhani and T. Sukmono, “EOQ Optimization Revolutionizes Inventory Management, Delivering Cost Savings Globally,” Indones. J. Innov. Stud., vol. 25, no. 4, Jun. 2024, doi: 10.21070/ijins.v25i4.1177.
D. Sulistiani, S. M. Hasanah, N. Cholifah, and I. H. Sholihah, “IMPLEMENTATION OF GREEN PUBLIC PROCUREMENT IN HIGHER EDUCATION INSTITUTIONS,” J. Law Sustain. Dev., vol. 12, no. 4, p. e3517, Apr. 2024, doi: 10.55908/sdgs.v12i4.3517.
K. Khulud, I. Masudin, F. Zulfikarijah, D. P. Restuputri, and A. Haris, “Sustainable Supplier Selection through Multi-Criteria Decision Making (MCDM) Approach: A Bibliometric Analysis,” Logistics, vol. 7, no. 4, p. 96, Dec. 2023, doi: 10.3390/logistics7040096.
M. B. Manuel, “Bridging procurement gaps in higher education: Addressing challenges, policy reforms, and digital transformation,” Int. J. Adv. Appl. Sci., vol. 12, no. 7, pp. 149–159, Jul. 2025, doi: 10.21833/ijaas.2025.07.015.
D. Anelli, P. Morano, T. Acquafredda, and F. Tajani, “Structuring Multi-Criteria Decision Approaches for Public Procurement: Methods, Standards and Applications,” Systems, vol. 13, no. 9, p. 777, Sep. 2025, doi: 10.3390/systems13090777.
A. Saoud, M. Lachgar, M. Hanine, R. El Dhimni, K. El Azizi, and H. Machmoum, “decideXpert: Collaborative system using AHP-TOPSIS and fuzzy techniques for multicriteria group decision-making,” SoftwareX, vol. 29, p. 102026, Feb. 2025, doi: 10.1016/j.softx.2024.102026.
A. Abdulla and G. Baryannis, “A hybrid multi-criteria decision-making and machine learning approach for explainable supplier selection,” Supply Chain Anal., vol. 7, no. February, p. 100074, 2024, doi: 10.1016/j.sca.2024.100074.
Varsha P S, A. Chakraborty, and A. K. Kar, “How to Undertake an Impactful Literature Review: Understanding Review Approaches and Guidelines for High-impact Systematic Literature Reviews,” South Asian J. Bus. Manag. Cases, vol. 13, no. 1, pp. 18–35, Apr. 2024, doi: 10.1177/22779779241227654.
A. Liu, X. Wang, and J. Tang, “Decision support for integrated trade agent’s procurement and sales planning under uncertainty,” Decis. Support Syst., vol. 198, p. 114537, Nov. 2025, doi: 10.1016/j.dss.2025.114537.
A. Kumar, A. Gupta, and A. Mehra, “A bilevel game model for ascertaining competitive target prices for a buyer in negotiation with multiple suppliers,” RAIRO - Oper. Res., vol. 56, no. 1, pp. 293–330, Jan. 2022, doi: 10.1051/ro/2021185.
K. Askarifar, Z. Arabi, and A. Alagheband, “Presenting a decision support model for supplier selection using the best-worst method and asymmetric fuzzy mathematical programming (a case study),” Int. J. Procure. Manag., vol. 15, no. 5, p. 579, 2022, doi: 10.1504/IJPM.2022.125697.
J. R. B. Barajas, “Uncovering the Most Vulnerable in Times of Crisis: Analyzing Procurement Capacity Index with Multi-Criteria Decision-Analysis,” in 2023 Systems and Information Engineering Design Symposium (SIEDS), IEEE, Apr. 2023, pp. 197–202. doi: 10.1109/SIEDS58326.2023.10137798.
H. J. Zietsman and J. H. van Vuuren, “A generic decision support framework for inventory procurement planning in distribution centres,” Comput. Ind. Eng., vol. 177, p. 109057, Mar. 2023, doi: 10.1016/j.cie.2023.109057.
A. Mohammed, “Towards a sustainable assessment of suppliers: an integrated fuzzy TOPSIS-possibilistic multi-objective approach,” Ann. Oper. Res., vol. 293, no. 2, pp. 639–668, Oct. 2020, doi: 10.1007/s10479-019-03167-5.
B. Abdullahi, Y. M. Ibrahim, A. Ibrahim, and K. Bala, “Development of e-tendering evaluation system for Nigerian public sector,” J. Eng. Des. Technol., vol. 18, no. 1, pp. 122–149, Sep. 2019, doi: 10.1108/JEDT-01-2019-0004.
A. M. Ghareeb, N. R. Darwish, and H. A. Hefney, “Assessing the Performance of E-government Services Through Multi-criteria Analysis: The Case of Egypt,” in 5th International Conference on Advanced Intelligent Systems and Informatics, AISI 2019, 2020, pp. 711–721. doi: 10.1007/978-3-030-31129-2_65.
B. Di Martino, A. Marino, M. Rak, and P. Pariso, “Optimization and Validation of eGovernment Business Processes with Support of Semantic Techniques,” in 13th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2019, 2020, pp. 827–836. doi: 10.1007/978-3-030-22354-0_76.
K. Soliman and N. El-Barkouky, “An E-government Procurement Decision Support System Model for Public Private Partnership Projects in Egypt,” in Decision Support Systems X: Cognitive Decision Support Systems and Technologies, 2020, pp. 112–124. doi: 10.1007/978-3-030-46224-6_9.
M. S. Khan, M. Ayyaz, and A. Naseem, “An Approach for Developing Integrated Decision Support System Model for Optimizing Contracting Process of Public Procurement in Pakistan,” in 2020 IEEE Technology & Engineering Management Conference (TEMSCON), IEEE, Jun. 2020, pp. 1–6. doi: 10.1109/TEMSCON47658.2020.9140100.
M. Dotoli, N. Epicoco, and M. Falagario, “Multi-Criteria Decision Making techniques for the management of public procurement tenders: A case study,” Appl. Soft Comput., vol. 88, no. 106064, Mar. 2020, doi: 10.1016/j.asoc.2020.106064.
C. Kun, H. Zehua, L. Rui’an, W. Xuejun, and S. Dongdong, “Supplier Management Decision Support System Under Data Mining Algorithms,” in 2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA), IEEE, Feb. 2024, pp. 848–856. doi: 10.1109/EEBDA60612.2024.10485731.
D. Pamučar, D. Božanić, A. Puška, and D. Marinković, “Application of Neuro-Fuzzy System for Predicting the Success of a Company in Public Procurement,” Decis. Mak. Appl. Manag. Eng., vol. 5, no. 1, pp. 135–153, 2022, doi: 10.31181/dmame0304042022p.
I. J. Pérez, F. J. Cabrerizo, J. A. Morente-Molinera, J. M. Tapia-García, M. J. del Moral, and E. Herrera-Viedma, “A new application for multi criteria decision making processes in e-government scenarios,” Procedia Comput. Sci., vol. 214, pp. 1090–1097, 2022, doi: 10.1016/j.procs.2022.11.282.
V. Pandey, Komal, and H. Dincer, “A review on TOPSIS method and its extensions for different applications with recent development,” Soft Comput., vol. 27, no. 23, pp. 18011–18039, 2023, doi: 10.1007/s00500-023-09011-0.
J. Wiȩckowski, M. Hernes, and W. Sałabun, “Comparison of Multi-Criteria Decision Analysis Methods Under Comprehensive Sensitivity Analysis,” IEEE Access, vol. 13, pp. 128122–128138, 2025, doi: 10.1109/ACCESS.2025.3588166.
M. M. Hassan and A. R. Ahmad, “Systematic literature review on the sustainability of higher education institutions (HEIs): dimensions, practices and research gaps,” Cogent Educ., vol. 12, no. 1, Dec. 2025, doi: 10.1080/2331186X.2025.2549789.
A. Asemi et al., “Framework for the selection of sustainable suppliers using integrated compensatory fuzzy AHP-TOPSIS multi-criteria approach,” Int. J. …, 2024, doi: 10.1108/K-04-2019-0223.
A. Althabatah, R. Padmanabhan, M. Yaqot, M. Hadid, and L. Kerbache, “Assessing transformative procurement maturity: A general framework using a fuzzy model,” J. Open Innov. Technol. Mark. Complex., vol. 11, no. 3, p. 100622, Sep. 2025, doi: 10.1016/j.joitmc.2025.100622.
Additional Files
Published
How to Cite
Issue
Section
License
Copyright (c) 2026 Teguh Cahyono, Alva Hendi Muhammad, Sri Ngudi Wahyuni, Hanif Al Fatta
This work is licensed under a Creative Commons Attribution 4.0 International License.
