{"id":"https://openalex.org/W7158590521","doi":"https://doi.org/10.48550/arxiv.2604.26851","title":"Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows","display_name":"Resume-ing Control: (Mis)Perceptions of Agency Around GenAI Use in Recruiting Workflows","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7158590521","doi":"https://doi.org/10.48550/arxiv.2604.26851"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.26851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.26851","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116211043","display_name":"Sajel Surati","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Surati, Sajel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019068104","display_name":"Rosanna Bellini","orcid":"https://orcid.org/0000-0002-2223-2801"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bellini, Rosanna","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121028184","display_name":"Emily Black","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Black, Emily","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.7017999887466431,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.7017999887466431,"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/T12415","display_name":"Employer Branding and e-HRM","score":0.08449999988079071,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T12128","display_name":"AI in Service Interactions","score":0.02199999988079071,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/agency","display_name":"Agency (philosophy)","score":0.7562000155448914},{"id":"https://openalex.org/keywords/feeling","display_name":"Feeling","score":0.6331999897956848},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.5715000033378601},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.5322999954223633},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.40470001101493835},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3871999979019165},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.3853999972343445}],"concepts":[{"id":"https://openalex.org/C108170787","wikidata":"https://www.wikidata.org/wiki/Q3951828","display_name":"Agency (philosophy)","level":2,"score":0.7562000155448914},{"id":"https://openalex.org/C122980154","wikidata":"https://www.wikidata.org/wiki/Q205555","display_name":"Feeling","level":2,"score":0.6331999897956848},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.5795999765396118},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.5715000033378601},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.5322999954223633},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3921999931335449},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3871999979019165},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.3853999972343445},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3824999928474426},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3806999921798706},{"id":"https://openalex.org/C166052673","wikidata":"https://www.wikidata.org/wiki/Q83021","display_name":"Empirical evidence","level":2,"score":0.336899995803833},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3328999876976013},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C190248442","wikidata":"https://www.wikidata.org/wiki/Q839486","display_name":"Qualitative research","level":2,"score":0.30970001220703125},{"id":"https://openalex.org/C2777207495","wikidata":"https://www.wikidata.org/wiki/Q2072146","display_name":"Personnel selection","level":2,"score":0.3093999922275543},{"id":"https://openalex.org/C202372285","wikidata":"https://www.wikidata.org/wiki/Q1056396","display_name":"Human resource management","level":2,"score":0.305400013923645},{"id":"https://openalex.org/C107645774","wikidata":"https://www.wikidata.org/wiki/Q5467169","display_name":"Human resources","level":2,"score":0.30070000886917114},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.27649998664855957},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.2606000006198883}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.26851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.26851","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.26851","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4566304385662079,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"When":[0],"generative":[1],"AI":[2,141],"(genAI)":[3],"systems":[4],"are":[5],"used":[6,103],"in":[7,144,165,209],"high-stakes":[8,31],"decision-making,":[9],"its":[10],"recommended":[11],"role":[12],"is":[13,23],"to":[14,37,110,121,133,137,139,147,157],"aid,":[15],"rather":[16],"than":[17],"replace,":[18],"human":[19],"decision-making.":[20,193],"However,":[21],"there":[22],"little":[24],"empirical":[25],"exploration":[26],"of":[27,44,101,117,151,182,192,200],"how":[28,59,166],"professionals":[29],"making":[30],"decisions,":[32],"such":[33,201],"as":[34],"those":[35],"related":[36],"employment,":[38],"perceive":[39],"their":[40,145],"agency":[41],"and":[42,67,153,205],"level":[43],"control":[45,63],"when":[46],"working":[47],"with":[48,53,129],"genAI":[49,60,89,135,207],"systems.":[50],"Through":[51],"interviews":[52],"22":[54],"recruiting":[55,87,167],"professionals,":[56],"we":[57],"investigate":[58],"subtly":[61],"influences":[62],"over":[64],"everyday":[65],"workflows":[66],"even":[68],"individual":[69,155],"hiring":[70,210],"decisions.":[71],"Our":[72],"findings":[73,202],"highlight":[74],"a":[75,108,161,185],"pressing":[76],"conflict:":[77],"while":[78],"recruiters":[79],"believe":[80],"they":[81],"have":[82],"final":[83],"authority":[84],"across":[85],"the":[86,97,154,179,189,198],"pipeline,":[88],"has":[90],"become":[91],"an":[92],"invisible":[93],"architect":[94],"that":[95,187],"shapes":[96],"foundational":[98],"building":[99],"blocks":[100],"information":[102],"for":[104,203],"evaluation,":[105],"from":[106,142],"defining":[107],"job":[109],"determining":[111],"good":[112],"interview":[113],"performances.":[114],"The":[115],"decision":[116],"whether":[118],"or":[119],"not":[120],"adopt":[122,134],"was":[123],"also":[124],"often":[125],"outside":[126],"recruiters'":[127],"control,":[128],"many":[130],"feeling":[131],"compelled":[132],"due":[136],"calls":[138],"integrate":[140],"higher-ups":[143],"business,":[146],"combat":[148],"applicant":[149],"use":[150,208],"AI,":[152],"need":[156],"boost":[158],"productivity.":[159],"Despite":[160],"seemingly":[162],"seismic":[163],"shift":[164],"happens,":[168],"participants":[169],"only":[170],"reported":[171],"marginal":[172],"efficiency":[173],"gains.":[174],"Such":[175],"gains":[176],"came":[177],"at":[178],"high":[180],"cost":[181],"recruiter":[183],"deskilling,":[184],"trend":[186],"jeopardizes":[188],"meaningful":[190],"oversight":[191],"We":[194],"conclude":[195],"by":[196],"discussing":[197],"implications":[199],"responsible":[204],"perceptible":[206],"contexts.":[211]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-01T00:00:00"}