Analysis of Construction Auctions Data in Slovak Public Procurement

Abstract

The requirement for efficient public spending leads contracting authorities to use electronic reverse auctions (e-RA), a tool that allows achieving financial savings. In this study, we aim to explore the relationships between the different acting e-RA variables and to check for predictive models in order to infer on the savings amount in construction public procurement. Data on real construction auctions in Slovakia were statistically analysed by means of graphics tools, multiple regression analysis, test, and statistics for measuring the association between categorical variables. The results revealed that one should take the type of contract into account when considering the use of e-RA. This research provides several implications for purchasing practitioners in the area of construction procurement, especially with regard to the level of competition in the auction and estimation of savings potential. Presented findings aid managerial decision-making process of e-RA adoption. At the end, recommended future research directions in the investigated area are outlined.

Bidders Recommender for Public Procurement Auctions Using Machine Learning: Data Analysis, Algorithm, and Case Study with Tenders from Spain

“…ere is extensive literature about tender evaluation (also called bidding selection methods) for the selection of the optimal supplier in public procurement [33] with different techniques such as the economic scoring formulas [34], data envelopment analysis [35] or multicriteria decision making [36,37], and where multiple bidders are evaluated on the basis of price and quality [38]. In particular, the most studied public procurement auctions are related to construction, i.e., distribution of bids [39], bidding competitiveness and position performance [40], strategic bidding [41], tender evaluation and contractor selection [42,43], and empirical analysis in countries such as Slovakia [44]. ere are almost no studies which include all kinds of business sectors and a large volume of tenders.…”

Challenges of Electronic Reverse Auctions in Construction Industry—A Review

“…Accordingly, for buyers, it is vital to be able to predict potential savings. Predictive models to estimate savings amount in eRA have already been proposed by Hanak and Serrat (2018). However, as the construction project has several phases (planning, construction, operation, and demolition), the eRA savings potential should also be analyzed in this more detailed view.…”

Public Procurement Announcements in Spain: Regulations, Data Analysis, and Award Price Estimator Using Machine Learning

“…anks to the open data sources of public procurement, it is possible to avoid depending on government statistics offices such as the Spanish (INE [47]) or the European (Eurostat [23]). erefore, there is independence, and there are resources to perform low-level analysis or cross data with 18 Complexity other databases or external services to extract more valuable information. is article opens the doors to future research related to the analysis of massive data on public procurement, in particular:…”

“…As far as we know, this article is the first attempt to provide an award price estimator for all types of tenders in a country using machine learning algorithms. Similar articles dealing with this topic [18,19] have been published recently but only for construction projects and small datasets. It is typical to find literature only applied to construction projects; this is mainly because they are the biggest public procurement projects.…”