Once conducted the analysis is proved that the implementation of e-procurement platforms in Colombia (SECOP) has a positive impact in the public procurement process, improving:
a) The average selection time in public procurement processes (reducing it 32%)
b) Participation in terms of number of bidders and the possibility of citizen consultation to involve more oversight and control in the hiring processes. Despite this, citizen consultation is scarce and just a few bidders are smaller and medium-sized companies.
For other hand, was determined than the variables that affect the efficiency and effectiveness of e-procurement are related to money Increased value of purchases, promotion of competition in public purchase (Participation and disclosure), Time, findings, corrections and savings in the contract process.
Additionally,was proved that one valuable bounty of these platforms is the availability of large amounts of historical data and repositories that can provide valuable information to gain a better understanding of the public procurement in Colombia, those results could lead to formulate better policies that encourage open government initiatives to face the corruption and at the same time influence the competitiveness and economic growth of the nation.
55 5.2 Research Suggestions
As follows, there are some research suggestions developed based on the research findings of this study.
1. Create a training plan for small and medium businesses, as well as for citizens to explain the use of the SECOP platform, how to participate in public tenders, and in general, all the process including consultations
2. Generate an advertising campaign or strategy to allow more citizens know about the oversight and control process that they can perform on public spending from SECOP
5.3 Limitations
In regard of this study, the major limitations are:
- The result of the study is conditioned to the quality of the data collected and to the transformation of them in an adequate way.
- Although the study made a public contracting analysis in Colombia, it just analyzes one procurement method: public tender, because this method is used to contract by all government entities in Colombia
- It is important to mention that any model or algorithm can or should be used exclusively.
There is not a “best” model or algorithm for a given problem, since the own nature of the data will affect the selection of the model, along with, in the case of this study, the availability of the selected algorithm in an open source data mining tool.
5.4 Future Studies
Below are some considerations to take into account for futures studies:
1. The analysis of this study were made from a descriptive data mining model to determine the patterns and associations of the historical data. Future studies should
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apply also a predictive data mining model to provide a forecast regarding to e-procurement or public contracting in Colombia.
2. The analysis could be used as well to get some strategies and plans for the public spending in Colombia
3. The approach outlined in this study could be replicated in other areas with a large data base of historical records available.
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