Effective Spend Management Through Electronic Reverse Auction Configurations

Mojmír Prídavok, Radoslav Delina


The purpose of the paper is to analyz wide range of possible auction strategies and configurations of eRA, with respect to the ever changing market conditions. Electronic reverse auction (eRA) represents an electronic sourcing method of competitive bidding among a number of qualified suppliers. Theory assumes that eRA represents pure market environment with information perfectly distributed between both buyers and suppliers. Although initial eRA cost savings in B2B could be as high as 40%, without deeper knowledge of different auctions strategies and configurations, additional cost reductions are not possible. To identify crucial determinant, the statistical (correlation) analysis on the data set of more than 18.000 auction items with different configuration parameters was conducted. Findings suggest that the more bidders are invited to the eRA, the better results could be expected. Additionally, the complexity of the eRA parameterization does not seem to influent the success of the eRA. These results can influence usage and SW development of eRA application in real environment. This research extends already realized studies in the field of electronic auctions for the B2B processes


electronic reverse auction; strategies; configurations; quality; innovation; e-procurement

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Amelinckx I., Muylle S., Lievens A. 2008. Extending electronic sourcing theory: An exploratory study of electronic reverse auction outcomes. Journal of Electronic Commerce Research and Applications, Vol. 7 No. 1, pp. 119-133.

Bongo P., 2005. The Impact of ICT on Economic Growth, Development and Comp Systems [online] EconWPA. Available at: < > [Accessed 15 July 2012].

Carter C. R., et al. 2004. Reverse auctions: Grounded theory from the buyer and supplier perspective, Transportation Research, Vol. 40 No. 3, pp. 229−254.

Carter C. R., Stevens C. K. 2007. Electronic reverse auction configuration and its impact on buyer price and supplier perceptions of opportunism: a laboratory experiment, Journal of Operations Management, Vol. 25 No. 5, pp. 1035-1054.

Eichstadt T. 2008. Applying Auction Theory to Procurement Auctions – An Empirical Study Among German Corporations, in Gimpel H. et al. Negotiation, Auctions, and Market Engineering, Springer-Verlag Berlin Heidelberg, Berlin (DE), pp. 58-67.

Janke F. 2011. The Use Of Hidden Data in Electronic Business Networks: Benchmark and Network Performance Indicators, in Proceedings of The 19th Interdisciplinarity Information Management Talks, Jindrichuv Hradec, Czech Republic, 12-14 September, pp. 341-348.

Kumar S., Chang C. 2007. Reverse auctions: How much total supply chain cost savings are there? — A conceptual overview, Journal of Revenue & Pricing Management, Vol. 6 No. 3, pp. 229-240.

Miles P. 2002. Globalisation – Economic Growth and Development and Development Indicators, Planet Papers, [online] Available at: [Accessed 15 July 2012].

OECD Publication Service, 2004. The Economic Impact of ICT. Measurement, Evidence and Implications. [pdf] Paris: Publication Service. Available at: [Accessed 15 July 2012]

Oracle World Headquarters, 2012. B2B E-Commerce Survey: Results and Trends”. [pdf] Redwood Shores: Oracle Corporation. Available at: [Accessed 11 September 2012]

Reenen J.V., et al. 2010. The Economic of ICT. Center for Economic Performance. Center for Economic Performance. [pdf] Available at: [Accessed 15 July 2012].

Sabol T., et al. 2006. Indexes of economic, social and technological development, Ekonomický časopis, Vol. 54, no. 7, pp. 685-698.

SAP White Paper, 2006. Reverse Auction Best Practices: Practical Approaches to Ensure Successful Electronic Reverse Auction Events”. [pdf] SAP AG. Available at: [Accessed 3 July 2012].

Smart A., Harrison A. 2003. Online reverse auctions and their role in buyer-supplier relationships, Journal of Purchasing and Supply Management, Vol. 9, No. 5-6, pp. 257-268.

Sudzina F., et al. 2010. Impact of ERP systems implementation: A case of Slovak companies, in Proceedings of The 19th Interdisciplinarity Information Management Talks, Jindrichuv Hradec, Czech Republic,. 8-10 September, pp. 65-73.

DOI: http://dx.doi.org/10.12776/qip.v17i1.151


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Copyright (c) 2013 Mojmír Prídavok, Radoslav Delina

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