{"id":"https://openalex.org/W4361199952","doi":"https://doi.org/10.23919/icact56868.2023.10079282","title":"AI Model to Improve HR Decision-Making with Machine Learning Predictions Algorithm","display_name":"AI Model to Improve HR Decision-Making with Machine Learning Predictions Algorithm","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361199952","doi":"https://doi.org/10.23919/icact56868.2023.10079282"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079282","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","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/A5006985884","display_name":"Akwi Helene Fomude","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Akwi Helene Fomude","raw_affiliation_strings":["Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048683499","display_name":"Chaoyu Yang","orcid":"https://orcid.org/0000-0001-7923-9644"},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaoyu Yang","raw_affiliation_strings":["Anhui University of Science and Technology,School of Artificial Intelligence,Huainan,China,232000"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,School of Artificial Intelligence,Huainan,China,232000","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041266896","display_name":"George K. Agordzo","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"George K. Agordzo","raw_affiliation_strings":["Anhui University of Science and Technology,School of Mathematics and Big Data,Huainan,China,232000"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,School of Mathematics and Big Data,Huainan,China,232000","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008232156","display_name":"Appiah Vincentia Serwah","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Appiah Vincentia Serwah","raw_affiliation_strings":["Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000","institution_ids":["https://openalex.org/I184681353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006609528","display_name":"Linda Abangbila","orcid":null},"institutions":[{"id":"https://openalex.org/I184681353","display_name":"Anhui University of Science and Technology","ror":"https://ror.org/00q9atg80","country_code":"CN","type":"education","lineage":["https://openalex.org/I184681353"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Linda Abangbila","raw_affiliation_strings":["Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000"],"affiliations":[{"raw_affiliation_string":"Anhui University of Science and Technology,School of Economics and Management,Huainan,China,232000","institution_ids":["https://openalex.org/I184681353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5006985884"],"corresponding_institution_ids":["https://openalex.org/I184681353"],"apc_list":null,"apc_paid":null,"fwci":6.2678,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.96478192,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":0.9932000041007996,"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":0.9932000041007996,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9591000080108643,"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/T11891","display_name":"Big Data and Business Intelligence","score":0.955299973487854,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7275482416152954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7203434705734253},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6121964454650879},{"id":"https://openalex.org/keywords/grasp","display_name":"GRASP","score":0.569717526435852},{"id":"https://openalex.org/keywords/applications-of-artificial-intelligence","display_name":"Applications of artificial intelligence","score":0.5098549723625183},{"id":"https://openalex.org/keywords/human-intelligence","display_name":"Human intelligence","score":0.4793884754180908},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.47802862524986267},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.42379871010780334},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.39316999912261963},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.15006285905838013}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7275482416152954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7203434705734253},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6121964454650879},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.569717526435852},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.5098549723625183},{"id":"https://openalex.org/C105409693","wikidata":"https://www.wikidata.org/wiki/Q5937824","display_name":"Human intelligence","level":2,"score":0.4793884754180908},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.47802862524986267},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.42379871010780334},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.39316999912261963},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.15006285905838013},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079282","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079282","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2052222137","https://openalex.org/W2515263100","https://openalex.org/W2527846664","https://openalex.org/W2616005589","https://openalex.org/W2940879524","https://openalex.org/W3006087551","https://openalex.org/W3013019408","https://openalex.org/W3033316300","https://openalex.org/W3035768773","https://openalex.org/W3083920988","https://openalex.org/W3086617777","https://openalex.org/W3121856831","https://openalex.org/W3157369104","https://openalex.org/W3159914619","https://openalex.org/W3182574993","https://openalex.org/W4225697224","https://openalex.org/W4233977980","https://openalex.org/W4401313483","https://openalex.org/W6728278962","https://openalex.org/W6737396636","https://openalex.org/W6794242864","https://openalex.org/W6798268361"],"related_works":["https://openalex.org/W4386271515","https://openalex.org/W2997038949","https://openalex.org/W3044189763","https://openalex.org/W4313891971","https://openalex.org/W4313891954","https://openalex.org/W4388307417","https://openalex.org/W2346760997","https://openalex.org/W4313892134","https://openalex.org/W4285326546","https://openalex.org/W3207052280"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1,85],"(AI)":[2],"has":[3,64],"the":[4,40,44,73,80,97,192],"capability":[5],"of":[6,46,58,72,76,83,164,194],"making":[7],"decisions":[8],"in":[9,88,127,152],"real-time":[10],"using":[11,106],"well-before":[12],"techniques":[13],"and":[14,24,43,86,100,120,172,179],"computer":[15],"technologies":[16,63,129],"built":[17],"through":[18],"data":[19,168,181],"analysis":[20],"to":[21,26,31,114,116,133,141,148,150,155,169,188,205],"instantly":[22],"adapt":[23,149],"learn":[25],"provide":[27,50],"more":[28],"complex":[29],"actions":[30],"circumstances.":[32],"Human":[33],"resource":[34],"management":[35],"(HRM),":[36],"which":[37],"incorporates":[38],"both":[39],"human":[41],"aspect":[42],"use":[45,115],"AI":[47,62,77,89,103,128,165,177],"tools,":[48],"can":[49],"employees":[51],"with":[52],"a":[53,69,93,183],"better":[54],"perception.":[55],"The":[56,123],"component":[57],"HRM":[59,113],"decision-making":[60,126],"by":[61,68,145,201],"not":[65],"been":[66,110],"hindered":[67],"restricted":[70],"awareness":[71],"theoretical":[74],"underpinnings":[75],"integration;":[78],"however,":[79],"enhanced":[81,162],"usage":[82],"artificial":[84],"advancements":[87],"qualities":[90],"have":[91,109],"put":[92],"greater":[94],"emphasis":[95,124],"on":[96,125,138],"moral":[98],"values":[99],"administrators":[101],"influencing":[102],"development":[104,193],"for":[105,112],"Data-driven":[107],"forecasting":[108],"suggested":[111],"forecast":[117],"employee":[118],"desires":[119],"revenue":[121],"growth.":[122],"is":[130,160,186],"abruptly":[131],"shifting":[132],"strategies.":[134],"Machine":[135],"learning":[136,204],"concentrates":[137],"enabling":[139],"computers":[140],"make":[142],"logical":[143],"conclusions":[144],"educating":[146],"them":[147],"shifts":[151],"innovation":[153],"or":[154],"new":[156],"knowledge.":[157],"While":[158],"ML":[159],"an":[161],"form":[163],"that":[166,185,196],"analyses":[167],"find":[170],"similarities":[171],"alters":[173],"program":[174],"action":[175],"steps,":[176],"simplifies":[178],"converts":[180],"into":[182],"format":[184],"simple":[187],"grasp.":[189],"It":[190],"emphasizes":[191],"Algorithms":[195],"will":[197],"enhance":[198],"HR":[199],"choices":[200],"utilizing":[202],"machine":[203],"create":[206],"precise":[207],"forecasts.":[208]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":14}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
