{"id":"https://openalex.org/W4391095316","doi":"https://doi.org/10.1109/bigdata59044.2023.10386147","title":"Resale-proof Trades of Data under Budget Constraints: A Subject Experiment","display_name":"Resale-proof Trades of Data under Budget Constraints: A Subject Experiment","publication_year":2023,"publication_date":"2023-12-15","ids":{"openalex":"https://openalex.org/W4391095316","doi":"https://doi.org/10.1109/bigdata59044.2023.10386147"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata59044.2023.10386147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","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/A5072230789","display_name":"Kazuhito Ogawa","orcid":"https://orcid.org/0000-0002-6876-3958"},"institutions":[{"id":"https://openalex.org/I56624758","display_name":"Kansai University","ror":"https://ror.org/03xg1f311","country_code":"JP","type":"education","lineage":["https://openalex.org/I56624758"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Kazuhito Ogawa","raw_affiliation_strings":["Kansai University,Department of Sociology,Suita,Japan","Department of Sociology, Kansai University, Suita, Japan"],"affiliations":[{"raw_affiliation_string":"Kansai University,Department of Sociology,Suita,Japan","institution_ids":["https://openalex.org/I56624758"]},{"raw_affiliation_string":"Department of Sociology, Kansai University, Suita, Japan","institution_ids":["https://openalex.org/I56624758"]}]},{"author_position":"last","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":false,"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":2,"corresponding_author_ids":["https://openalex.org/A5072230789"],"corresponding_institution_ids":["https://openalex.org/I56624758"],"apc_list":null,"apc_paid":null,"fwci":0.5247,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71540247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"5665","last_page":"5673"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9987999796867371,"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":0.9987999796867371,"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/T12137","display_name":"Economic theories and models","score":0.9925000071525574,"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"}},{"id":"https://openalex.org/T11762","display_name":"Law, Economics, and Judicial Systems","score":0.9815999865531921,"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/budget-constraint","display_name":"Budget constraint","score":0.8199726343154907},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5254586935043335},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5150842070579529},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4756167531013489},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46011075377464294},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.45281946659088135},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.44538676738739014},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.38035115599632263},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.356981098651886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1877136528491974}],"concepts":[{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.8199726343154907},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5254586935043335},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5150842070579529},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4756167531013489},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46011075377464294},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.45281946659088135},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.44538676738739014},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.38035115599632263},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.356981098651886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1877136528491974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata59044.2023.10386147","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata59044.2023.10386147","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320322312","display_name":"Kansai University","ror":"https://ror.org/03xg1f311"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W1514230544","https://openalex.org/W1989314580","https://openalex.org/W2015319631","https://openalex.org/W2054539337","https://openalex.org/W2149961401","https://openalex.org/W2574952255","https://openalex.org/W2802718198","https://openalex.org/W2971378576","https://openalex.org/W4250608468","https://openalex.org/W4320024159"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4388258507","https://openalex.org/W2392013855","https://openalex.org/W4318064328","https://openalex.org/W2357926602","https://openalex.org/W3200517220","https://openalex.org/W2374569605","https://openalex.org/W2386062718","https://openalex.org/W2282407049","https://openalex.org/W2256107152"],"abstract_inverted_index":{"In":[0,43,131],"a":[1,40,157],"simple":[2],"model":[3],"of":[4,9,19,25,32,48,93,102,109,112,137,143,164],"the":[5,17,23,28,44,46,54,61,67,70,74,84,107,132,135,141,147,162],"market":[6],"for":[7,60,69],"transactions":[8,89,175,186],"data":[10,26,33,71,94,144,165],"proposed":[11],"by":[12,146],"[9],":[13],"this":[14],"note":[15],"examines":[16],"effects":[18],"budget":[20,119,151,169,178,190],"constraints":[21,152,179],"on":[22],"prices":[24,47,85,101,136,142,163],"and":[27,57,83],"gains":[29],"from":[30],"trades":[31,111],"produced":[34],"with":[35,118,161],"their":[36],"constituent":[37],"variables":[38,49,103,138],"in":[39,73,174,185],"subject":[41,115,133],"experiment.":[42],"model,":[45],"are":[50,78,86,104],"exogenously":[51],"set":[52],"at":[53],"initial":[55,100,148],"round,":[56],"then":[58],"updated":[59],"next":[62],"round":[63],"immediately":[64],"according":[65],"to":[66,128],"demand":[68],"traded":[72,79],"current":[75],"round.":[76],"Data":[77],"freely":[80],"among":[81,90,97],"agents":[82],"determined":[87,145,166],"through":[88],"agents.":[91,98],"Resale":[92],"is":[95],"permitted":[96],"The":[99,171],"computed":[105],"assuming":[106],"results":[108],"sequential":[110],"data.":[113],"Each":[114],"was":[116],"faced":[117],"constraints,":[120],"but":[121,140],"surplus":[122],"budgets":[123],"cannot":[124],"be":[125],"carried":[126],"over":[127],"subsequent":[129],"rounds.":[130],"experiment,":[134],"fluctuated,":[139],"owners":[149],"under":[150,167,177,188],"remained":[153],"relatively":[154],"stable":[155],"without":[156],"drastic":[158],"increase":[159],"compared":[160],"no":[168,189],"constraints.":[170,191],"efficiency":[172],"rates":[173],"made":[176,187],"were":[180],"not":[181],"lower":[182],"than":[183],"those":[184]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
