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Enhancement of revenue management strategies through location-aware m-auctions for logistics services

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  • Dimitrios M. Emiris
  • Charis A. Marentakis

Abstract

The last two decades have witnessed the successful application of revenue management (RM) strategies in many markets where the trading item is characterised by high perishability, as is the case with various types of service. Freight transportation service markets are a less-studied area in the RM science. A particular attribute of such markets is their time criticality and short duration especially in case of ad-hoc shipments. This paper couples the properties of auctions and location-based services in a whole. In particular, it aims to complement a RM strategy, introducing a conceptual marketplace. It also presents an evolutionary market learning approach for participants based on a structured series of auction-based experiments. Next, it capitalises on these findings to interpret the bidders behaviour. Finally, it draws guidelines for the specification of auction parameters. Experimental results provide evidence for the convergence of price between carriers and shippers.

Suggested Citation

  • Dimitrios M. Emiris & Charis A. Marentakis, 2012. "Enhancement of revenue management strategies through location-aware m-auctions for logistics services," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 102-126.
    • Handle: RePEc:ids:ijrevm:v:6:y:2012:i:1/2:p:102-126
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    References listed on IDEAS

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    Cited by:

    1. Kong, Xiang T.R. & Kang, Kai & Zhong, Ray Y. & Luo, Hao & Xu, Su Xiu, 2021. "Cyber physical system-enabled on-demand logistics trading," International Journal of Production Economics, Elsevier, vol. 233(C).

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