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Assessing the Performance of Open Contracting in Colombia Through Data Mining

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-031-08890-2_6

1865-0937

Katherine Andrea Cuartas Castro, I‐Hsien Ting, Giovanny Tarazona Bermúdez,

Comparative International Legal Studies

Globally, governments spend an estimated US$9.5 trillion each year through contracts with private companies, amount equivalent to 15% of world GDP due to the resources involved, public procurement is an activity with high risk of corruption [1]. The use of open data in public procurement systems is a powerful tool to increase contract transparency monitoring. This study utilizes and empirically analysis to explore implicit relationships between variables allowing to assess the impact of e-procurement implementation on public contract process in Colombia through data mining tools. The methodology developed was CRISP- DM, using a data base formed by 5.611.700 records of public contracts making through the SECOP Platform since 2013 to 2018. To determine the relation between items an Apriori algorithm of association rules data mining method was implemented in WEKA. Despite the positive impact of the e-procurement platform the results also shows the lack involvement of citizens in the process, and the lack participation of small and medium-sized companies in the public procurement process.