{"id":"https://openalex.org/W4320024159","doi":"https://doi.org/10.1109/bigdata55660.2022.10021105","title":"A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment","display_name":"A Model of Pricing Data and Their Constituent Variables Traded in Two-Sided Markets with Resale: A Subject Experiment","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4320024159","doi":"https://doi.org/10.1109/bigdata55660.2022.10021105"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10021105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10021105","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 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":"2022 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/A5005685612","display_name":"Toshihiko Nanba","orcid":null},"institutions":[{"id":"https://openalex.org/I78928947","display_name":"Kyoto University of Advanced Science","ror":"https://ror.org/00qa6r925","country_code":"JP","type":"education","lineage":["https://openalex.org/I78928947"]},{"id":"https://openalex.org/I4210143206","display_name":"Kyoto International University","ror":"https://ror.org/04ah8rj19","country_code":"JP","type":"education","lineage":["https://openalex.org/I4210143206","https://openalex.org/I60262850"]},{"id":"https://openalex.org/I4210121901","display_name":"International Institute for Advanced Studies","ror":"https://ror.org/02ca33r73","country_code":"JP","type":"other","lineage":["https://openalex.org/I4210121901"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Toshihiko Nanba","raw_affiliation_strings":["Kyoto University of Advanced Science,Institute for International Academic Research,Kyoto,Japan","Institute for International Academic Research, Kyoto University of Advanced Science, Kyoto, Japan"],"affiliations":[{"raw_affiliation_string":"Kyoto University of Advanced Science,Institute for International Academic Research,Kyoto,Japan","institution_ids":["https://openalex.org/I4210121901","https://openalex.org/I4210143206"]},{"raw_affiliation_string":"Institute for International Academic Research, Kyoto University of Advanced Science, Kyoto, Japan","institution_ids":["https://openalex.org/I78928947"]}]},{"author_position":"middle","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":false,"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":"middle","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"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015928651","display_name":"Teruaki Hayashi","orcid":"https://orcid.org/0000-0002-1806-5852"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Teruaki Hayashi","raw_affiliation_strings":["The University of Tokyo,Graduate School of Engineering,Tokyo,Japan","Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Graduate School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028823648","display_name":"Hiroki Sakaji","orcid":"https://orcid.org/0000-0001-5030-625X"},"institutions":[{"id":"https://openalex.org/I74801974","display_name":"The University of Tokyo","ror":"https://ror.org/057zh3y96","country_code":"JP","type":"education","lineage":["https://openalex.org/I74801974"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Hiroki Sakaji","raw_affiliation_strings":["The University of Tokyo,Graduate School of Engineering,Tokyo,Japan","Graduate School of Engineering, The University of Tokyo, Tokyo, Japan"],"affiliations":[{"raw_affiliation_string":"The University of Tokyo,Graduate School of Engineering,Tokyo,Japan","institution_ids":["https://openalex.org/I74801974"]},{"raw_affiliation_string":"Graduate School of Engineering, The University of Tokyo, Tokyo, Japan","institution_ids":["https://openalex.org/I74801974"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5005685612"],"corresponding_institution_ids":["https://openalex.org/I4210121901","https://openalex.org/I4210143206","https://openalex.org/I78928947"],"apc_list":null,"apc_paid":null,"fwci":0.3864,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67771639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"3288","last_page":"3294"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10646","display_name":"Experimental Behavioral Economics Studies","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9990000128746033,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9983999729156494,"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/resale-price-maintenance","display_name":"Resale price maintenance","score":0.5840395092964172},{"id":"https://openalex.org/keywords/subject","display_name":"Subject (documents)","score":0.5377281904220581},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.521632969379425},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4841966927051544},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.46519148349761963},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.4459185302257538},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.42982199788093567},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.37625354528427124},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3661361336708069},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.30257219076156616},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13760077953338623},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.0702890157699585}],"concepts":[{"id":"https://openalex.org/C2779474039","wikidata":"https://www.wikidata.org/wiki/Q1067756","display_name":"Resale price maintenance","level":3,"score":0.5840395092964172},{"id":"https://openalex.org/C2777855551","wikidata":"https://www.wikidata.org/wiki/Q12310021","display_name":"Subject (documents)","level":2,"score":0.5377281904220581},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.521632969379425},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4841966927051544},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.46519148349761963},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4459185302257538},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.42982199788093567},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.37625354528427124},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3661361336708069},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.30257219076156616},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13760077953338623},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.0702890157699585},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10021105","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata55660.2022.10021105","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 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":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1514230544","https://openalex.org/W1974115720","https://openalex.org/W1989314580","https://openalex.org/W2015319631","https://openalex.org/W2036589038","https://openalex.org/W2054539337","https://openalex.org/W2149961401","https://openalex.org/W2153635621","https://openalex.org/W2574952255","https://openalex.org/W2802718198","https://openalex.org/W2971378576","https://openalex.org/W4250608468","https://openalex.org/W6630739403"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2105178149","https://openalex.org/W2030617584","https://openalex.org/W2355215981","https://openalex.org/W2790903936","https://openalex.org/W2056210026","https://openalex.org/W2086220743","https://openalex.org/W2184829817","https://openalex.org/W3123666935"],"abstract_inverted_index":{"This":[0],"note":[1],"presents":[2],"a":[3],"simple":[4],"model":[5],"of":[6,19,25,51,58,92,108,128],"pricing":[7],"data":[8,20,59,118],"and":[9,35,114],"their":[10],"constituent":[11],"variables":[12,27,94],"traded":[13],"in":[14,36,64,76],"two-sided":[15],"markets,":[16],"where":[17],"resale":[18],"is":[21],"allowed.":[22],"The":[23],"prices":[24,40,73,91],"those":[26,39,93],"are":[28,41],"exogenously":[29],"set":[30],"at":[31,48],"the":[32,44,49,52,56,67,71,80,89,99,109,112,121,126],"initial":[33,72,100],"round,":[34,53],"each":[37],"round":[38,46],"updated":[42],"for":[43],"next":[45],"immediately":[47],"end":[50],"based":[54],"on":[55],"outcomes":[57],"transactions.":[60],"If":[61],"traders":[62],"behave":[63],"accordance":[65],"with":[66],"backward":[68],"induction,":[69],"then":[70],"never":[74],"move":[75],"any":[77],"rounds.":[78],"In":[79],"subject":[81],"experiment,":[82],"this":[83],"property":[84],"was":[85],"not":[86,96],"observed":[87],"but":[88],"average":[90],"were":[95],"far":[97],"from":[98,117],"values.":[101],"We":[102],"also":[103],"examined":[104],"whether":[105],"information":[106],"provision":[107],"gross":[110],"profits":[111],"user":[113],"non-user":[115],"receive":[116],"transactions":[119],"affects":[120],"social":[122],"welfare":[123],"measured":[124],"by":[125],"amounts":[127],"producer":[129],"surplus.":[130]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}