Estimating future bidding performance of competitor bidders in capped tenders
Research in Bid Tender Forecasting Models (BTFM) has been in progress since the 1950s. None of the developed models were easy-to-use tools for effective use by bidding practitioners because the advanced mathematical apparatus and massive data inputs required. This scenario began to change in 2012 wi...
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| Veröffentlicht in: | Journal of civil engineering and management 2014-09, Vol.20 (5), p.702-713 |
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| container_title | Journal of civil engineering and management |
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| creator | Ballesteros-Pérez, Pablo González-Cruz, M. Carmen Fernández-Diego, Marta Pellicer, Eugenio |
| description | Research in Bid Tender Forecasting Models (BTFM) has been in progress since the 1950s. None of the developed models were easy-to-use tools for effective use by bidding practitioners because the advanced mathematical apparatus and massive data inputs required. This scenario began to change in 2012 with the development of the Smartbid BTFM, a quite simple model that presents a series of graphs that enables any project manager to study competitors using a relatively short historical tender dataset. However, despite the advantages of this new model, so far, it is still necessary to study all the auction participants as an indivisible group; that is, the original BTFM was not devised for analyzing the behavior of a single bidding competitor or a subgroup of them. The present paper tries to solve that flaw and presents a stand-alone methodology useful for estimating future competitors' bidding behaviors separately. |
| doi_str_mv | 10.3846/13923730.2014.914096 |
| format | Article |
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| ispartof | Journal of civil engineering and management, 2014-09, Vol.20 (5), p.702-713 |
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| language | eng |
| recordid | cdi_gale_businessinsightsgauss_A617387556 |
| source | EZB-FREE-00999 freely available EZB journals |
| subjects | Analysis auction Auctions bid Building Capping construction Contracts Estimating forecast Forecasting Forecasts and trends Graphs Letting of contracts Management Market share Mathematical analysis Mathematical models Methods score Subgroups Technology application tender |
| title | Estimating future bidding performance of competitor bidders in capped tenders |
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