{"id":"https://openalex.org/W2904064004","doi":"https://doi.org/10.1609/aaai.v33i01.33011166","title":"Exploiting the Contagious Effect for Employee Turnover Prediction","display_name":"Exploiting the Contagious Effect for Employee Turnover Prediction","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2904064004","doi":"https://doi.org/10.1609/aaai.v33i01.33011166","mag":"2904064004"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33011166","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011166","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3910/3788","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3910/3788","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014140503","display_name":"Mingfei Teng","orcid":"https://orcid.org/0000-0003-2683-7207"},"institutions":[{"id":"https://openalex.org/I4210096112","display_name":"Rutgers Sexual and Reproductive Health and Rights","ror":"https://ror.org/00rcvgx40","country_code":"NL","type":"other","lineage":["https://openalex.org/I4210096112"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Mingfei Teng","raw_affiliation_strings":["Rutgers University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Rutgers University","institution_ids":["https://openalex.org/I4210096112"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049015446","display_name":"Hengshu Zhu","orcid":"https://orcid.org/0000-0003-4570-643X"},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hengshu Zhu","raw_affiliation_strings":["Baidu Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033864788","display_name":"Chuanren Liu","orcid":"https://orcid.org/0000-0001-9030-8495"},"institutions":[{"id":"https://openalex.org/I72816309","display_name":"Drexel University","ror":"https://ror.org/04bdffz58","country_code":"US","type":"education","lineage":["https://openalex.org/I72816309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chuanren Liu","raw_affiliation_strings":["Drexel University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Drexel University","institution_ids":["https://openalex.org/I72816309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100768322","display_name":"Chen Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I98301712","display_name":"Baidu (China)","ror":"https://ror.org/03vs3wt56","country_code":"CN","type":"company","lineage":["https://openalex.org/I98301712"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chen Zhu","raw_affiliation_strings":["Baidu Inc"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Baidu Inc","institution_ids":["https://openalex.org/I98301712"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862104","display_name":"Hui Xiong","orcid":"https://orcid.org/0000-0001-6016-6465"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hui Xiong","raw_affiliation_strings":["The State University of New Jersey"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The State University of New Jersey","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":18.0526,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.9947644,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"33","issue":"01","first_page":"1166","last_page":"1173"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9972000122070312,"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"}},"topics":[{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9972000122070312,"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/T12415","display_name":"Employer Branding and e-HRM","score":0.9702000021934509,"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/T12843","display_name":"Human Resource and Talent Management","score":0.9657999873161316,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.6749104261398315},{"id":"https://openalex.org/keywords/turnover","display_name":"Turnover","score":0.6483465433120728},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.5318137407302856},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.4836665093898773},{"id":"https://openalex.org/keywords/profiling","display_name":"Profiling (computer programming)","score":0.4426139295101166},{"id":"https://openalex.org/keywords/human-resource-management","display_name":"Human resource management","score":0.4310992658138275},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.34272125363349915},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.2911485433578491},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14100119471549988},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1336866319179535}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.6749104261398315},{"id":"https://openalex.org/C26077564","wikidata":"https://www.wikidata.org/wiki/Q1910318","display_name":"Turnover","level":2,"score":0.6483465433120728},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.5318137407302856},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4836665093898773},{"id":"https://openalex.org/C187191949","wikidata":"https://www.wikidata.org/wiki/Q1138496","display_name":"Profiling (computer programming)","level":2,"score":0.4426139295101166},{"id":"https://openalex.org/C202372285","wikidata":"https://www.wikidata.org/wiki/Q1056396","display_name":"Human resource management","level":2,"score":0.4310992658138275},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.34272125363349915},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.2911485433578491},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14100119471549988},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1336866319179535},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33011166","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011166","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3910/3788","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/3910","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/3910","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33011166","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33011166","pdf_url":"https://aaai.org/ojs/index.php/AAAI/article/download/3910/3788","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.6200000047683716}],"awards":[{"id":"https://openalex.org/G5375682351","display_name":null,"funder_award_id":"91746301","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5415502266","display_name":null,"funder_award_id":"71531001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2904064004.pdf","grobid_xml":"https://content.openalex.org/works/W2904064004.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1580788756","https://openalex.org/W1967538759","https://openalex.org/W2013477250","https://openalex.org/W2027505338","https://openalex.org/W2091826683","https://openalex.org/W2101234009","https://openalex.org/W2107432192","https://openalex.org/W2125838338","https://openalex.org/W2132723713","https://openalex.org/W2133564696","https://openalex.org/W2150152123","https://openalex.org/W2153396763","https://openalex.org/W2167136277","https://openalex.org/W2252215182","https://openalex.org/W2358113125","https://openalex.org/W2470673105","https://openalex.org/W2577310290","https://openalex.org/W2798507773","https://openalex.org/W2807992610","https://openalex.org/W2894982503","https://openalex.org/W2952255427","https://openalex.org/W4235756152","https://openalex.org/W4236811293","https://openalex.org/W4242646988","https://openalex.org/W4253573210","https://openalex.org/W4253898691","https://openalex.org/W4254512824","https://openalex.org/W4256254828","https://openalex.org/W6631190155","https://openalex.org/W6634508654","https://openalex.org/W6653735420","https://openalex.org/W6666761814","https://openalex.org/W6675354045","https://openalex.org/W6706537834","https://openalex.org/W6752115918","https://openalex.org/W6794420258"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4390569940","https://openalex.org/W2888392564","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W4388422664","https://openalex.org/W2806259446","https://openalex.org/W1766684615","https://openalex.org/W3124024078","https://openalex.org/W3191085419"],"abstract_inverted_index":{"Talent":[0],"turnover":[1,15,26,67,83,101,111,145],"often":[2],"costs":[3],"a":[4,59,88,129,133],"large":[5,134],"amount":[6],"of":[7,33,44,82,85,110,140],"business":[8],"time,":[9],"money":[10],"and":[11,35,77,113,125],"performance.":[12],"Therefore,":[13],"employee":[14,45,72],"prediction":[16,27,68,112],"is":[17,92],"critical":[18],"for":[19,66,117,144],"proactive":[20],"talent":[21,118],"management.":[22],"Existing":[23],"approaches":[24],"on":[25,31,99,128],"are":[28],"mainly":[29],"based":[30],"profiling":[32],"employees":[34],"their":[36],"working":[37],"environments,":[38],"while":[39],"the":[40,71,74,80,96,108,138,141],"important":[41],"contagious":[42,60,142],"effect":[43,61,143],"turnovers":[46],"has":[47],"been":[48],"largely":[49],"ignored.":[50],"To":[51],"this":[52,55],"end,":[53],"in":[54],"paper,":[56],"we":[57,121],"propose":[58],"heterogeneous":[62,97],"neural":[63],"network":[64],"(CEHNN)":[65],"by":[69],"integrating":[70],"profiles,":[73],"environmental":[75],"factors,":[76],"more":[78],"importantly,":[79],"influence":[81],"behaviors":[84],"co-workers.":[86],"Moreover,":[87],"global":[89],"attention":[90,104],"mechanism":[91,105],"designed":[93],"to":[94,136],"evaluate":[95],"impact":[98],"potential":[100],"behaviors.":[102],"This":[103],"can":[106],"improve":[107],"interpretability":[109],"provide":[114],"actionable":[115],"insights":[116],"retention.":[119],"Finally,":[120],"conduct":[122],"extensive":[123],"experiments":[124],"case":[126],"studies":[127],"realworld":[130],"dataset":[131],"from":[132],"company":[135],"validate":[137],"effectiveness":[139],"prediction.":[146]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
