{"id":"https://openalex.org/W3046815899","doi":"https://doi.org/10.1007/s42001-020-00072-x","title":"Reputation systems and recruitment in online labor markets: insights from an agent-based model","display_name":"Reputation systems and recruitment in online labor markets: insights from an agent-based model","publication_year":2020,"publication_date":"2020-08-02","ids":{"openalex":"https://openalex.org/W3046815899","doi":"https://doi.org/10.1007/s42001-020-00072-x","mag":"3046815899"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00072-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00072-x.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"type":"article","type_crossref":"journal-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00072-x.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5016560849","display_name":"Martin Lukac","orcid":"https://orcid.org/0000-0002-1747-3168"},"institutions":[{"id":"https://openalex.org/I909854389","display_name":"London School of Economics and Political Science","ror":"https://ror.org/0090zs177","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I909854389"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Martin Lukac","raw_affiliation_strings":["Department of Methodology, London School of Economics and Political Science, Houghton Street, WC2A 2AE, London, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Department of Methodology, London School of Economics and Political Science, Houghton Street, WC2A 2AE, London, United Kingdom","institution_ids":["https://openalex.org/I909854389"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054043838","display_name":"Andr\u00e9 Grow","orcid":"https://orcid.org/0000-0003-2470-0071"},"institutions":[{"id":"https://openalex.org/I4210120395","display_name":"Max Planck Institute for Demographic Research","ror":"https://ror.org/02jgyam08","country_code":"DE","type":"facility","lineage":["https://openalex.org/I149899117","https://openalex.org/I4210120395"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Andr\u00e9 Grow","raw_affiliation_strings":["Laboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, Konrad-Zuse-Stra\u00dfe 1, 18057, Rostock, Germany"],"affiliations":[{"raw_affiliation_string":"Laboratory of Digital and Computational Demography, Max Planck Institute for Demographic Research, Konrad-Zuse-Stra\u00dfe 1, 18057, Rostock, Germany","institution_ids":["https://openalex.org/I4210120395"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5016560849"],"corresponding_institution_ids":["https://openalex.org/I909854389"],"apc_list":{"value":2290,"currency":"EUR","value_usd":2890,"provenance":"doaj"},"apc_paid":{"value":2290,"currency":"EUR","value_usd":2890,"provenance":"doaj"},"fwci":3.438,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.933015,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":90},"biblio":{"volume":"4","issue":"1","first_page":"207","last_page":"229"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T12501","display_name":"Digital Economy and Work Transformation","score":0.996,"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"}},"topics":[{"id":"https://openalex.org/T12501","display_name":"Digital Economy and Work Transformation","score":0.996,"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/T12392","display_name":"Sharing Economy and Platforms","score":0.9881,"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"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.9844,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/stylized-fact","display_name":"Stylized fact","score":0.871917},{"id":"https://openalex.org/keywords/reputation-system","display_name":"Reputation system","score":0.48540553}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.9056845},{"id":"https://openalex.org/C38935604","wikidata":"https://www.wikidata.org/wiki/Q4330363","display_name":"Stylized fact","level":2,"score":0.871917},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.70804286},{"id":"https://openalex.org/C2781426361","wikidata":"https://www.wikidata.org/wiki/Q5326940","display_name":"Earnings","level":2,"score":0.6248396},{"id":"https://openalex.org/C2781218421","wikidata":"https://www.wikidata.org/wiki/Q2892532","display_name":"Reputation system","level":3,"score":0.48540553},{"id":"https://openalex.org/C45555294","wikidata":"https://www.wikidata.org/wiki/Q28113351","display_name":"Inequality","level":2,"score":0.47755557},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.45903397},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.44393775},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43984485},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.3406257},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.25809127},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.10297933},{"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00072-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00072-x.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://doi.org/10.1007/s42001-020-00072-x","pdf_url":"https://link.springer.com/content/pdf/10.1007/s42001-020-00072-x.pdf","source":{"id":"https://openalex.org/S4210196583","display_name":"Journal of Computational Social Science","issn_l":"2432-2725","issn":["2432-2725","2432-2717"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[{"score":0.69,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"grants":[{"funder":"https://openalex.org/F4320321730","funder_display_name":"Fonds Wetenschappelijk Onderzoek","award_id":"G071716N"},{"funder":"https://openalex.org/F4320322434","funder_display_name":"Max-Planck-Gesellschaft","award_id":null},{"funder":"https://openalex.org/F4320322681","funder_display_name":"Onderzoeksraad, KU Leuven","award_id":"C1 Grant number C14/16/015"}],"datasets":[],"versions":[],"referenced_works_count":64,"referenced_works":["https://openalex.org/W1521528415","https://openalex.org/W1562339146","https://openalex.org/W1571820319","https://openalex.org/W1831734684","https://openalex.org/W1872515333","https://openalex.org/W1912199916","https://openalex.org/W1980573833","https://openalex.org/W2017810225","https://openalex.org/W2020923252","https://openalex.org/W2023754051","https://openalex.org/W2066653776","https://openalex.org/W2073402570","https://openalex.org/W2099200466","https://openalex.org/W2100001093","https://openalex.org/W2102707980","https://openalex.org/W2104756321","https://openalex.org/W2112256230","https://openalex.org/W2115747715","https://openalex.org/W2117337595","https://openalex.org/W2121777329","https://openalex.org/W2145210228","https://openalex.org/W2152737770","https://openalex.org/W2153369576","https://openalex.org/W2153943092","https://openalex.org/W2156109180","https://openalex.org/W2163819950","https://openalex.org/W2209295605","https://openalex.org/W2221507320","https://openalex.org/W2318595411","https://openalex.org/W2326569962","https://openalex.org/W2337430557","https://openalex.org/W2465487920","https://openalex.org/W2474240581","https://openalex.org/W2475955013","https://openalex.org/W2506525871","https://openalex.org/W2515288491","https://openalex.org/W2561742801","https://openalex.org/W2597072875","https://openalex.org/W2598919187","https://openalex.org/W2750451011","https://openalex.org/W2755523260","https://openalex.org/W2765242852","https://openalex.org/W2802509651","https://openalex.org/W2887734062","https://openalex.org/W2888628853","https://openalex.org/W2894726823","https://openalex.org/W2913028384","https://openalex.org/W2969955419","https://openalex.org/W2970662945","https://openalex.org/W2986135870","https://openalex.org/W2996523803","https://openalex.org/W3121697875","https://openalex.org/W3121717788","https://openalex.org/W3123711316","https://openalex.org/W3124347181","https://openalex.org/W3124745466","https://openalex.org/W3125692124","https://openalex.org/W3125776494","https://openalex.org/W3125859517","https://openalex.org/W4230131150","https://openalex.org/W4249163464","https://openalex.org/W4249342753","https://openalex.org/W4292887282","https://openalex.org/W560382420"],"related_works":["https://openalex.org/W2952470056","https://openalex.org/W2946007437","https://openalex.org/W2780022989","https://openalex.org/W2517839752","https://openalex.org/W2294042815","https://openalex.org/W2157328853","https://openalex.org/W2142891234","https://openalex.org/W1986034399","https://openalex.org/W1976981061","https://openalex.org/W126629215"],"abstract_inverted_index":{"Abstract":[0],"Online":[1],"labor":[2,7],"markets\u2014freelance":[3],"marketplaces,":[4],"where":[5],"digital":[6],"is":[8],"distributed":[9,100],"via":[10],"a":[11,28,102],"web-based":[12],"platform\u2014commonly":[13],"use":[14,65],"reputation":[15,40,78,123],"systems":[16,41,79,124],"to":[17,43,72,76,121,127,133],"overcome":[18],"uncertainties":[19],"in":[20,47,50,57,145],"the":[21,74,119],"hiring":[22,83],"process,":[23],"that":[24,39,85,115],"can":[25,80,141],"arise":[26],"from":[27,55],"lack":[29],"of":[30,109,138],"objective":[31,59],"information":[32,110,116,139],"about":[33],"employees\u2019":[34],"abilities.":[35,60],"Research":[36],"shows,":[37],"however,":[38],"tend":[42],"create":[44,81],"winner-takes-all":[45],"dynamics,":[46],"which":[48,77,122],"differences":[49,56],"candidates\u2019":[51],"reputations":[52],"become":[53,99],"disconnected":[54],"their":[58],"In":[61],"this":[62],"paper,":[63],"we":[64],"an":[66],"empirically":[67],"validated":[68],"agent-based":[69],"computational":[70],"model":[71],"investigate":[73],"extent":[75,120],"segmented":[82],"patterns":[84],"are":[86],"biased":[87],"toward":[88],"freelancers":[89],"with":[90],"good":[91],"reputation.":[92],"We":[93],"explore":[94],"how":[95],"jobs":[96],"and":[97],"earnings":[98],"on":[101],"stylized":[103],"platform,":[104],"under":[105],"different":[106],"contextual":[107],"conditions":[108],"asymmetry.":[111],"Our":[112],"results":[113],"suggest":[114],"asymmetry":[117,140],"influences":[118],"may":[125],"lead":[126],"inequality":[128,144],"between":[129],"freelancers,":[130],"but":[131],"contrary":[132],"our":[134],"expectations,":[135],"lower":[136],"levels":[137],"facilitate":[142],"higher":[143],"outcomes.":[146]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3046815899","counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":5}],"updated_date":"2024-12-17T07:51:09.775184","created_date":"2020-08-07"}