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Competitive bidding in asymmetric multidimensional public procurement

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  • Lorentziadis, Panos L.

Abstract

In a multidimensional procurement auction, such as a most economically advantageous tender, asymmetric opponents, with different cost structure and predetermined quality, compete for the highest score, which combines price and quality. Production inefficiency characterizes each tenderer. We derive the equilibrium equations and boundary conditions, for which closed-form solutions are not available. We compare the bidding behavior of any pair of rival tenderers and demonstrate that equilibrium prices critically depend on the comparison of the cost difference Δc with respect to the increment of score attribute s. For the same production inefficiency, a tenderer with a relatively higher Δc compared to s, stands in weak competitive position and is forced to bid more aggressively. We show how the opposing advantage of each bidder with respect to cost or score attribute induces the extent of competition. Under a different perspective, we analyze bidding by a pair of tenderers for a given maximum score, achieved when pricing is at cost. Our analysis reveals that the player with consistently higher percentage change of the probability of being more efficient than the rival, is in a disadvantageous position and receives lower score in the awarding process. Our results are useful for tenderers in assessing their competitive position. The findings enable contracting authorities to evaluate competition at the preliminary stage of design and to examine the effects of the awarding criterion on pricing.

Suggested Citation

  • Lorentziadis, Panos L., 2020. "Competitive bidding in asymmetric multidimensional public procurement," European Journal of Operational Research, Elsevier, vol. 282(1), pages 211-220.
  • Handle: RePEc:eee:ejores:v:282:y:2020:i:1:p:211-220
    DOI: 10.1016/j.ejor.2019.09.005
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    2. Xiao, Fei & Wang, Haijun & Guo, Shuojia & Guan, Xu & Liu, Baoshan, 2021. "Efficient and truthful multi-attribute auctions for crowdsourced delivery," International Journal of Production Economics, Elsevier, vol. 240(C).
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    6. Yanfei Liu & Wentao Wang & Wenjun Wang & Chengbo Yu & Bowen Mao & Dongfang Shang & Yucong Duan, 2023. "Purpose-Driven Evaluation of Operation and Maintenance Efficiency and Safety Based on DIKWP," Sustainability, MDPI, vol. 15(17), pages 1-22, August.

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