Evaluation of public procurement efficiency of the EU countries using preference learning topsis method
Апстракт
Holding governments accountable for public procurement efficiency has been high on the agenda of public finance practitioners in the last few decades. The European Commission has developed a set of value-for-money indicators for public procurements within the Single Market Scoreboard. Although this matrix is actively used to rank countries, a number of downsides have been hitherto reported. This paper proposes preference learning (a machine learning method) for criteria weight estimation in combination with Technique for Order Performance by Similarity to Ideal Solution (as a multi criteria decision making technique) to re-evaluate the public procurement performance of the EU countries. This approach can be used for unbiased ex-post evaluations and focus of efforts and resources on critically important public procurement policies.
Кључне речи:
TOPSIS / Ranking / Public Procurement / Preference LearningИзвор:
Economic Computation and Economic Cybernetics Studies and Research, 2021, 55, 3, 187-202Издавач:
- Acad Economic Studies, Bucharest
DOI: 10.24818/18423264/55.3.21.12
ISSN: 0424-267X
WoS: 000698683400012
Scopus: 2-s2.0-85117736091
Институција/група
Fakultet organizacionih naukaTY - JOUR AU - Milosavljević, Miloš AU - Radonovanović, Sandro AU - Delibašić, Boris PY - 2021 UR - https://rfos.fon.bg.ac.rs/handle/123456789/2149 AB - Holding governments accountable for public procurement efficiency has been high on the agenda of public finance practitioners in the last few decades. The European Commission has developed a set of value-for-money indicators for public procurements within the Single Market Scoreboard. Although this matrix is actively used to rank countries, a number of downsides have been hitherto reported. This paper proposes preference learning (a machine learning method) for criteria weight estimation in combination with Technique for Order Performance by Similarity to Ideal Solution (as a multi criteria decision making technique) to re-evaluate the public procurement performance of the EU countries. This approach can be used for unbiased ex-post evaluations and focus of efforts and resources on critically important public procurement policies. PB - Acad Economic Studies, Bucharest T2 - Economic Computation and Economic Cybernetics Studies and Research T1 - Evaluation of public procurement efficiency of the EU countries using preference learning topsis method EP - 202 IS - 3 SP - 187 VL - 55 DO - 10.24818/18423264/55.3.21.12 UR - conv_2556 ER -
@article{ author = "Milosavljević, Miloš and Radonovanović, Sandro and Delibašić, Boris", year = "2021", abstract = "Holding governments accountable for public procurement efficiency has been high on the agenda of public finance practitioners in the last few decades. The European Commission has developed a set of value-for-money indicators for public procurements within the Single Market Scoreboard. Although this matrix is actively used to rank countries, a number of downsides have been hitherto reported. This paper proposes preference learning (a machine learning method) for criteria weight estimation in combination with Technique for Order Performance by Similarity to Ideal Solution (as a multi criteria decision making technique) to re-evaluate the public procurement performance of the EU countries. This approach can be used for unbiased ex-post evaluations and focus of efforts and resources on critically important public procurement policies.", publisher = "Acad Economic Studies, Bucharest", journal = "Economic Computation and Economic Cybernetics Studies and Research", title = "Evaluation of public procurement efficiency of the EU countries using preference learning topsis method", pages = "202-187", number = "3", volume = "55", doi = "10.24818/18423264/55.3.21.12", url = "conv_2556" }
Milosavljević, M., Radonovanović, S.,& Delibašić, B.. (2021). Evaluation of public procurement efficiency of the EU countries using preference learning topsis method. in Economic Computation and Economic Cybernetics Studies and Research Acad Economic Studies, Bucharest., 55(3), 187-202. https://doi.org/10.24818/18423264/55.3.21.12 conv_2556
Milosavljević M, Radonovanović S, Delibašić B. Evaluation of public procurement efficiency of the EU countries using preference learning topsis method. in Economic Computation and Economic Cybernetics Studies and Research. 2021;55(3):187-202. doi:10.24818/18423264/55.3.21.12 conv_2556 .
Milosavljević, Miloš, Radonovanović, Sandro, Delibašić, Boris, "Evaluation of public procurement efficiency of the EU countries using preference learning topsis method" in Economic Computation and Economic Cybernetics Studies and Research, 55, no. 3 (2021):187-202, https://doi.org/10.24818/18423264/55.3.21.12 ., conv_2556 .