{"id":"https://openalex.org/W4206365637","doi":"https://doi.org/10.1109/bigdata52589.2021.9671459","title":"A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids","display_name":"A Numerical Study with Experimental Data on Risk-Averse Subcontractors in Procurement Auctions with Subcontract Bids","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W4206365637","doi":"https://doi.org/10.1109/bigdata52589.2021.9671459"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata52589.2021.9671459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671459","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019705460","display_name":"Naoki Watanabe","orcid":"https://orcid.org/0000-0002-6140-2762"},"institutions":[{"id":"https://openalex.org/I203951103","display_name":"Keio University","ror":"https://ror.org/02kn6nx58","country_code":"JP","type":"education","lineage":["https://openalex.org/I203951103"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Naoki Watanabe","raw_affiliation_strings":["Keio University,Graduate School of Business Administration,Yokohama,Japan","Graduate School of Business Administration, Keio University, Yokohama, Japan"],"affiliations":[{"raw_affiliation_string":"Keio University,Graduate School of Business Administration,Yokohama,Japan","institution_ids":["https://openalex.org/I203951103"]},{"raw_affiliation_string":"Graduate School of Business Administration, Keio University, Yokohama, Japan","institution_ids":["https://openalex.org/I203951103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5019705460"],"corresponding_institution_ids":["https://openalex.org/I203951103"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.24246772,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"3495","last_page":"3499"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":1.0,"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":1.0,"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9947999715805054,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9887999892234802,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/common-value-auction","display_name":"Common value auction","score":0.8285813331604004},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.8129862546920776},{"id":"https://openalex.org/keywords/risk-aversion","display_name":"Risk aversion (psychology)","score":0.7891618013381958},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.5834465026855469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5163465738296509},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.44823262095451355},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.41480717062950134},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.390094131231308},{"id":"https://openalex.org/keywords/actuarial-science","display_name":"Actuarial science","score":0.36578914523124695},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3606675863265991},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3503102660179138},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3347054123878479},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2661558985710144},{"id":"https://openalex.org/keywords/expected-utility-hypothesis","display_name":"Expected utility hypothesis","score":0.24417412281036377},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.23885467648506165},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1736825704574585},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11276867985725403},{"id":"https://openalex.org/keywords/mathematical-economics","display_name":"Mathematical economics","score":0.07817065715789795}],"concepts":[{"id":"https://openalex.org/C163239763","wikidata":"https://www.wikidata.org/wiki/Q5153637","display_name":"Common value auction","level":2,"score":0.8285813331604004},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.8129862546920776},{"id":"https://openalex.org/C129915516","wikidata":"https://www.wikidata.org/wiki/Q17083550","display_name":"Risk aversion (psychology)","level":3,"score":0.7891618013381958},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.5834465026855469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5163465738296509},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.44823262095451355},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.41480717062950134},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.390094131231308},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.36578914523124695},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3606675863265991},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3503102660179138},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3347054123878479},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2661558985710144},{"id":"https://openalex.org/C205706631","wikidata":"https://www.wikidata.org/wiki/Q2319304","display_name":"Expected utility hypothesis","level":2,"score":0.24417412281036377},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.23885467648506165},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1736825704574585},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11276867985725403},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.07817065715789795},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata52589.2021.9671459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata52589.2021.9671459","pdf_url":null,"source":{"id":"https://openalex.org/S4363607718","display_name":"2021 IEEE International Conference on Big Data (Big Data)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322451","display_name":"Osaka University","ror":"https://ror.org/035t8zc32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W9447294","https://openalex.org/W1569557206","https://openalex.org/W1584061370","https://openalex.org/W2132456592","https://openalex.org/W4234177856","https://openalex.org/W6600367966","https://openalex.org/W6634276174","https://openalex.org/W6635042194","https://openalex.org/W6679909859"],"related_works":["https://openalex.org/W3121315611","https://openalex.org/W2094128433","https://openalex.org/W1526980154","https://openalex.org/W2100699586","https://openalex.org/W3122007008","https://openalex.org/W2110981230","https://openalex.org/W2539865362","https://openalex.org/W3143666551","https://openalex.org/W2752626891","https://openalex.org/W1973197197"],"abstract_inverted_index":{"Prime":[0],"contractors":[1],"often":[2],"solicit":[3],"estimates":[4,29],"for":[5,37,57,107,111],"part":[6],"of":[7,41,83,89,105],"their":[8,19,27],"work":[9,17],"from":[10],"potential":[11],"subcontractors":[12],"who":[13],"can":[14],"perform":[15],"that":[16,68],"on":[18],"behalf":[20],"with":[21,51],"lower":[22],"costs,":[23],"prior":[24],"to":[25,80,98],"submitting":[26],"own":[28],"in":[30,61,72,86],"procurement":[31,42],"auctions.":[32],"In":[33],"a":[34,48],"simple":[35],"model":[36],"capturing":[38],"this":[39,44],"aspect":[40],"auctions,":[43],"note":[45],"clarifies":[46],"through":[47],"numerical":[49],"study":[50],"experimental":[52,63],"data":[53],"an":[54],"important":[55],"factor":[56],"obtaining":[58],"clearer":[59],"results":[60,70],"the":[62,73,81,87,94,100,109],"sessions.":[64],"It":[65],"was":[66],"shown":[67],"unclear":[69],"observed":[71],"sessions":[74],"conducted":[75],"previously":[76],"would":[77],"be":[78],"due":[79],"presence":[82],"extreme":[84,101],"patterns":[85],"distributions":[88],"risk":[90,102],"aversion":[91,103],"rates":[92,104],"among":[93],"participants.":[95],"We":[96],"need":[97],"control":[99],"participants":[106],"designing":[108],"experiment":[110],"future":[112],"research.":[113]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}