{"id":"https://openalex.org/W4385722864","doi":"https://doi.org/10.1017/s135132492300030x","title":"How you describe procurement calls matters: Predicting outcome of public procurement using call descriptions","display_name":"How you describe procurement calls matters: Predicting outcome of public procurement using call descriptions","publication_year":2023,"publication_date":"2023-08-10","ids":{"openalex":"https://openalex.org/W4385722864","doi":"https://doi.org/10.1017/s135132492300030x"},"language":"en","primary_location":{"id":"doi:10.1017/s135132492300030x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132492300030x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/95529837BE2FE86A476118782C8B4BD9/S135132492300030Xa.pdf/div-class-title-how-you-describe-procurement-calls-matters-predicting-outcome-of-public-procurement-using-call-descriptions-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/95529837BE2FE86A476118782C8B4BD9/S135132492300030Xa.pdf/div-class-title-how-you-describe-procurement-calls-matters-predicting-outcome-of-public-procurement-using-call-descriptions-div.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072838988","display_name":"Utku Umur Acikalin","orcid":"https://orcid.org/0000-0002-0381-8831"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Utku Umur Acikalin","raw_affiliation_strings":["TOBB University of Economics and Technology, Ankara, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-0381-8831","affiliations":[{"raw_affiliation_string":"TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020441309","display_name":"Mustafa Kaan Gorgun","orcid":null},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mustafa Kaan Gorgun","raw_affiliation_strings":["TOBB University of Economics and Technology, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086826049","display_name":"M\u00fccahid Kutlu","orcid":"https://orcid.org/0000-0002-5660-4992"},"institutions":[{"id":"https://openalex.org/I13236232","display_name":"TOBB University of Economics and Technology","ror":"https://ror.org/03ewx7v96","country_code":"TR","type":"education","lineage":["https://openalex.org/I13236232"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Mucahid Kutlu","raw_affiliation_strings":["TOBB University of Economics and Technology, Ankara, Turkey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"TOBB University of Economics and Technology, Ankara, Turkey","institution_ids":["https://openalex.org/I13236232"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006093398","display_name":"Bedri Kamil Onur Ta\u015f","orcid":"https://orcid.org/0000-0001-5418-777X"},"institutions":[{"id":"https://openalex.org/I47818738","display_name":"Sultan Qaboos University","ror":"https://ror.org/04wq8zb47","country_code":"OM","type":"education","lineage":["https://openalex.org/I47818738"]}],"countries":["OM"],"is_corresponding":false,"raw_author_name":"Bedri Kamil Onur Tas","raw_affiliation_strings":["Department of Economics and Finance, Sultan Qaboos University, Muscat, Oman"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Economics and Finance, Sultan Qaboos University, Muscat, Oman","institution_ids":["https://openalex.org/I47818738"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5072838988"],"corresponding_institution_ids":["https://openalex.org/I13236232"],"apc_list":null,"apc_paid":null,"fwci":0.7194,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.73963862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"30","issue":"6","first_page":"1255","last_page":"1276"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.995199978351593,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11042","display_name":"Corruption and Economic Development","score":0.9761999845504761,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11257","display_name":"Taxation and Compliance Studies","score":0.9750999808311462,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.8441412448883057},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8128882050514221},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5755509734153748},{"id":"https://openalex.org/keywords/notice","display_name":"Notice","score":0.5234094262123108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.448478639125824},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.43597447872161865},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.4219376742839813},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24721810221672058},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1167612373828888},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.08951091766357422}],"concepts":[{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.8441412448883057},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8128882050514221},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5755509734153748},{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.5234094262123108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.448478639125824},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.43597447872161865},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.4219376742839813},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24721810221672058},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1167612373828888},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.08951091766357422},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1017/s135132492300030x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132492300030x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/95529837BE2FE86A476118782C8B4BD9/S135132492300030Xa.pdf/div-class-title-how-you-describe-procurement-calls-matters-predicting-outcome-of-public-procurement-using-call-descriptions-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1017/s135132492300030x","is_oa":true,"landing_page_url":"https://doi.org/10.1017/s135132492300030x","pdf_url":"https://www.cambridge.org/core/services/aop-cambridge-core/content/view/95529837BE2FE86A476118782C8B4BD9/S135132492300030Xa.pdf/div-class-title-how-you-describe-procurement-calls-matters-predicting-outcome-of-public-procurement-using-call-descriptions-div.pdf","source":{"id":"https://openalex.org/S18088403","display_name":"Natural Language Engineering","issn_l":"1351-3249","issn":["1351-3249","1469-8110"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311721","host_organization_name":"Cambridge University Press","host_organization_lineage":["https://openalex.org/P4310311721","https://openalex.org/P4310311702"],"host_organization_lineage_names":["Cambridge University Press","University of Cambridge"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Natural Language Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2712910045","display_name":null,"funder_award_id":"119K986","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385722864.pdf"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W181588007","https://openalex.org/W1967274678","https://openalex.org/W1975633953","https://openalex.org/W1981750094","https://openalex.org/W2087612699","https://openalex.org/W2108853095","https://openalex.org/W2541781630","https://openalex.org/W2747121724","https://openalex.org/W2767448068","https://openalex.org/W2797596017","https://openalex.org/W2802213825","https://openalex.org/W2895757140","https://openalex.org/W2901687301","https://openalex.org/W2943174206","https://openalex.org/W2952638691","https://openalex.org/W2963775347","https://openalex.org/W2970854433","https://openalex.org/W2973088264","https://openalex.org/W2988791782","https://openalex.org/W3000452907","https://openalex.org/W3093754261","https://openalex.org/W3121999802","https://openalex.org/W3195078989","https://openalex.org/W4233907442","https://openalex.org/W4285537419","https://openalex.org/W4288056589","https://openalex.org/W4313325454","https://openalex.org/W4391156274","https://openalex.org/W6750227452"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W2086339586","https://openalex.org/W4300782058","https://openalex.org/W2394387726","https://openalex.org/W2378724474","https://openalex.org/W4389146154","https://openalex.org/W4280611221"],"abstract_inverted_index":{"Abstract":[0],"A":[1],"competitive":[2],"and":[3,67,95,123,149,184,199,205],"cost-effective":[4],"public":[5,16],"procurement":[6,26,121],"(PP)":[7],"process":[8],"is":[9,56,63],"essential":[10],"for":[11,107,202],"the":[12,46,65,70,74,79,113,120,166,170,179,191,229],"effective":[13],"use":[14],"of":[15,25,48,193,231],"resources.":[17],"In":[18,35],"this":[19],"work,":[20],"we":[21,37,196],"explore":[22],"whether":[23,51,59,69],"descriptions":[24,223],"calls":[27,144],"can":[28],"be":[29],"used":[30],"to":[31],"predict":[32],"their":[33],"outcomes.":[34],"particular,":[36],"focus":[38],"on":[39,119],"predicting":[40,143,162,190],"four":[41],"well-known":[42],"economic":[43],"metrics:":[44],"(i)":[45],"number":[47,192],"offers,":[49],"(ii)":[50],"only":[52],"a":[53,60,125,146],"single":[54,147],"offer":[55,148],"received,":[57],"(iii)":[58],"foreign":[61,150],"firm":[62],"awarded":[64],"contract,":[66],"(iv)":[68],"contract":[71,151,167],"price":[72,168],"exceeds":[73,169],"expected":[75,171],"price.":[76,172],"We":[77,89],"extract":[78],"European":[80],"Union\u2019s":[81],"multilingual":[82,92,200,208],"PP":[83,232],"notices,":[84],"covering":[85],"22":[86],"different":[87],"languages.":[88],"investigate":[90,197],"fine-tuning":[91],"transformer":[93,105],"models":[94,103,141,188],"propose":[96],"two":[97],"approaches:":[98],"(1)":[99],"multilayer":[100],"perceptron":[101],"(MLP)":[102],"with":[104,145],"embeddings":[106],"each":[108],"business":[109],"sector":[110],"in":[111,142,161,164,181,189,213,228],"which":[112,165],"training":[114,201,209],"data":[115],"are":[116],"filtered":[117],"based":[118],"category":[122],"(2)":[124],"k-nearest":[126],"neighbor":[127],"(KNN)-based":[128],"approach":[129,157,176],"fine-tuned":[130,135],"using":[131],"triplet":[132],"networks.":[133],"The":[134],"MBERT":[136],"model":[137],"outperforms":[138,177],"all":[139,178,182,214],"other":[140,186],"awards,":[152],"whereas":[153],"our":[154,174,185,203,215,218],"MLP-based":[155],"filtering":[156],"yields":[158],"state-of-the-art":[159],"results":[160],"contracts":[163],"Furthermore,":[173],"KNN-based":[175],"baselines":[180],"tasks":[183,204],"proposed":[187],"offers.":[194],"Moreover,":[195],"cross-lingual":[198],"observe":[206],"that":[207,221],"improves":[210],"prediction":[211],"accuracy":[212],"tasks.":[216],"Overall,":[217],"experiments":[219],"suggest":[220],"notice":[222],"play":[224],"an":[225],"important":[226],"role":[227],"outcomes":[230],"calls.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}