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dc.contributor.author | Ballesteros Pérez, Pablo | es_ES |
dc.contributor.author | González-Cruz, María Carmen | es_ES |
dc.contributor.author | Fernández Diego, Marta | es_ES |
dc.contributor.author | Eugenio Pellicer | es_ES |
dc.date.accessioned | 2014-11-17T09:32:37Z | |
dc.date.available | 2014-11-17T09:32:37Z | |
dc.date.issued | 2014-07 | |
dc.identifier.issn | 1392-3730 | |
dc.identifier.uri | http://hdl.handle.net/10251/44255 | |
dc.description.abstract | 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. | es_ES |
dc.description.sponsorship | This research study has been funded in Chile by CONICYT under the Program Initiation into Research 2013 (project number 11130666). The language revision of this paper was funded by the Universitat Politecnica de Valencia. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Taylor & Francis: STM, Behavioural Science and Public Health Titles | es_ES |
dc.relation.ispartof | Journal of Civil Engineering and Management | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Bid | es_ES |
dc.subject | Tender | es_ES |
dc.subject | Auction | es_ES |
dc.subject | Construction | es_ES |
dc.subject | Score | es_ES |
dc.subject | Forecast | es_ES |
dc.subject.classification | ORGANIZACION DE EMPRESAS | es_ES |
dc.subject.classification | PROYECTOS DE INGENIERIA | es_ES |
dc.subject.classification | INGENIERIA DEL TERRENO | es_ES |
dc.title | Estimating future bidding performance of competitor bidders in capped tenders | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3846/13923730.2014.914096 | |
dc.relation.projectID | info:eu-repo/grantAgreement/CONICYT//11130666/ | |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería del Terreno - Departament d'Enginyeria del Terreny | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Organización de Empresas - Departament d'Organització d'Empreses | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil | es_ES |
dc.description.bibliographicCitation | Ballesteros Pérez, P.; González-Cruz, MC.; Fernández Diego, M.; Eugenio Pellicer (2014). Estimating future bidding performance of competitor bidders in capped tenders. Journal of Civil Engineering and Management. 20(5):702-713. https://doi.org/10.3846/13923730.2014.914096 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.3846/13923730.2014.914096 | es_ES |
dc.description.upvformatpinicio | 702 | es_ES |
dc.description.upvformatpfin | 713 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 20 | es_ES |
dc.description.issue | 5 | es_ES |
dc.relation.senia | 275936 | |
dc.contributor.funder | Universitat Politècnica de València | |
dc.contributor.funder | Comisión Nacional de Investigación Científica y Tecnológica, Chile | |
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