This redflag indicates risk if only a few of the companies that purchase the bidding documents submit bids (especially if more than half drop out) AND/OR relatively few companies submit bids, compared to prior similar tenders AND/OR fewer than the normal or expected number of potential bidders apply for prequalification.
This redflag indicates risk if (more than half of the) companies that buy the bidding documents refrain from submitting bids AND/OR substantially fewer bids have been received than in previous, similar tender AND/OR well-known qualified companies do not bid, especially if they purchased the bidding documents
This numeric redflag-component is part of an index (CRI) that indicates risk risk of grand corruption. Developers rely on the scheme that in order to award the contract to a "specific" bidder, the procuring entity - if it could not deter all but one bidder from submissing bids - excludes the bids of all unwanted bidders on administrative or formal grounds or unfairly assesses the bids to favour a particular bidder. Therefore the value is set to 1, if 1 bid was NOT excluded, and 0, if more than 1 bid NOT excluded. Input indicators of the model, correlate with this output.
This numeric redflag-component is part of an index (CRI) that indicates risk risk of grand corruption. Developers rely on the scheme that in order to award the contract to a "specific" bidder, the procuring entity may alter circumstances (specifications) to have a single bidder during the bidding process. Therefore the value is set to 1, if 1 bid received, and 0 if more than 1 bid received during the bidding. Input indicators of the model, correlate with this output.
This numeric redflag-component is part of an index (CRI) that indicates risk of grand corruption. This redflag is a ratio between 12-month total contract value of winner / 12-month total awarded contract value (by issuer); which is an outcome indicator measuring the public procurement corruption process as a whole. Winner’s share of issuer’s contracts indicates the likelihood of large-scale institutionalized corruption. Input indicators of the model, correlate with this output.