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Duodu, B, Melagoda, D G and Rowlinson, S (2024) Innovation ambidexterity in construction firms: external knowledge antecedents and performance consequences. Construction Management and Economics, 42(06), 503–26.

Franz, B W and Olopade, J (2024) Exploring pathways to project success through project delivery team integration: a qualitative comparative analysis. Construction Management and Economics, 42(06), 564–81.

Gholipour, H F, Farzanegan, M R and Abu Al-Foul, M N (2024) House prices and labour productivity growth: Evidence from OECD countries. Construction Management and Economics, 42(06), 582–9.

Gunay, H B, O'Brien, W, Beausoleil-Morrison, I and Huchuk, B (2014) On adaptive occupant-learning window blind and lighting controls. Building Research & Information, 42(06), 739-56.

Lundgren, R, Kyrö, R and Olander, S (2024) The lifecycle impact and value capture of circular business models in the built environment. Construction Management and Economics, 42(06), 527–44.

Morgan, M and Cruickshank, H (2014) Quantifying the extent of space shortages: English dwellings. Building Research & Information, 42(06), 710-24.

Park, H, Meacham, B J, Dembsey, N A and Goulthorpe, M (2014) Integration of fire safety and building design. Building Research & Information, 42(06), 696-709.

Rovers, R (2014) New energy retrofit concept: ‘renovation trains’ for mass housing. Building Research & Information, 42(06), 757-67.

Short, C A, Noakes, C J, Gilkeson, C A and Fair, A (2014) Functional recovery of a resilient hospital type. Building Research & Information, 42(06), 657-84.

Signor, R, Love, P E D and Ballesteros-Pérez, P (2024) Detecting bid rigging in public auctions for procuring infrastructure projects: formulating the reference scenario for decision-making. Construction Management and Economics, 42(06), 545–63.

  • Type: Journal Article
  • Keywords: Bid rigging; collusion; infrastructure; procurement; reference scenario;
  • ISBN/ISSN: 0144-6193
  • URL: https://doi.org/10.1080/01446193.2023.2287475
  • Abstract:
    Bid rigging is a fraudulent scheme in procurement auctions resulting in non-competitive bids awarded at prices above the competitive market. Bid rigging is a global problem that wastes public agencies’ resources and taxpayers’ money. While various methods and tools have been developed to detect bid rigging, it remains challenging for public agencies to identify what a competitive baseline auction looks like in the absence of collusion. Such a baseline is commonly known as a reference scenario, which involves analyzing the behavior of honest bids in previous auctions to determine if future bids could be collusive. Research on formulating reliable reference scenarios for bid rigging detection in the auctions of infrastructure projects has received limited attention. Hence, our paper analyses the key criteria required to develop a reference scenario for public agencies to detect bid rigging during an auction. Drawing on data from Brazilian public procurement and oversight agencies, a procedure for composing robust reference scenarios for detecting bid rigging in infrastructure first-priced auctions is presented and discussed. We then test our procedure’s generalizability using data from four countries (Australia, Brazil, Spain, and the United States) in two auction formats (i.e., capped and uncapped). A better understanding of the reference scenario formulation will allow public officials to increase the likelihood of detecting bid rigging when it exists and avoid flagging it as such when no collusive practices are involved.

Stephan, A and Crawford, R H (2014) A comprehensive life cycle water analysis framework for residential buildings. Building Research & Information, 42(06), 685-95.

Stone, A, Shipworth, D, Biddulph, P and Oreszczyn, T (2014) Key factors determining the energy rating of existing English houses. Building Research & Information, 42(06), 725-38.