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Analysis of the efficiency of electronic reverse auction settings: big data evidence

Author

Listed:
  • Radovan Dráb

    (Technical University of Košice)

  • Tomáš Štofa

    (Technical University of Košice)

  • Radoslav Delina

    (Technical University of Košice)

Abstract

Despite the existence of research in the field of electronic reverse auctions (eRAs), there is still a limited understanding of the determinants of auction savings that exist in this process, especially factors that can change information asymmetry during auctions. In comparison with other studies, attempts have been made to test the effects of various levels of information asymmetry through the prolongation of auctions and through changes to minimum bid amounts on auction results, as well as other modifiable variables. More than 11,000 eRAs were analysedusing data from a leading auction platform in Central Europe. The application of the Mann–Whitney–Wilcoxon test on data divided by medians of analyzed variables has been confirmed as a valid method for verifying the significance of the developed conceptual model relationships. While confirming several relations indicated by laboratory experiments and other studies, several findings to the contrary of the expected relationships were also confirmed.

Suggested Citation

  • Radovan Dráb & Tomáš Štofa & Radoslav Delina, 2022. "Analysis of the efficiency of electronic reverse auction settings: big data evidence," Electronic Commerce Research, Springer, vol. 22(2), pages 427-450, June.
    • Handle: RePEc:spr:elcore:v:22:y:2022:i:2:d:10.1007_s10660-020-09433-0
    DOI: 10.1007/s10660-020-09433-0
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    References listed on IDEAS

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