{"id":"https://openalex.org/W3200350012","doi":"https://doi.org/10.1155/2021/7747907","title":"Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance","display_name":"Machine Learning Classification Techniques for Detecting the Impact of Human Resources Outcomes on Commercial Banks Performance","publication_year":2021,"publication_date":"2021-09-21","ids":{"openalex":"https://openalex.org/W3200350012","doi":"https://doi.org/10.1155/2021/7747907","mag":"3200350012"},"language":"en","primary_location":{"id":"doi:10.1155/2021/7747907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7747907","pdf_url":"https://downloads.hindawi.com/journals/acisc/2021/7747907.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://downloads.hindawi.com/journals/acisc/2021/7747907.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050774220","display_name":"Sulaiman Olusegun Atiku","orcid":"https://orcid.org/0000-0001-9364-3774"},"institutions":[{"id":"https://openalex.org/I101993903","display_name":"Namibia University of Science and Technology","ror":"https://ror.org/03gg1ey66","country_code":"NA","type":"education","lineage":["https://openalex.org/I101993903"]}],"countries":["NA"],"is_corresponding":false,"raw_author_name":"Sulaiman O. Atiku","raw_affiliation_strings":["Harold Pupkewitz Graduate School of Business, Namibia University of Science and Technology, Windhoek, Namibia"],"raw_orcid":"https://orcid.org/0000-0001-9364-3774","affiliations":[{"raw_affiliation_string":"Harold Pupkewitz Graduate School of Business, Namibia University of Science and Technology, Windhoek, Namibia","institution_ids":["https://openalex.org/I101993903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048398805","display_name":"Ibidun Christiana Obagbuwa","orcid":"https://orcid.org/0000-0002-7965-2823"},"institutions":[{"id":"https://openalex.org/I3131135081","display_name":"Sol Plaatje University","ror":"https://ror.org/01kn7bc28","country_code":"ZA","type":"education","lineage":["https://openalex.org/I3131135081"]}],"countries":["ZA"],"is_corresponding":true,"raw_author_name":"Ibidun C. Obagbuwa","raw_affiliation_strings":["Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa"],"raw_orcid":"https://orcid.org/0000-0002-7965-2823","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Sol Plaatje University, Kimberley, South Africa","institution_ids":["https://openalex.org/I3131135081"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5048398805"],"corresponding_institution_ids":["https://openalex.org/I3131135081"],"apc_list":{"value":900,"currency":"USD","value_usd":900},"apc_paid":{"value":900,"currency":"USD","value_usd":900},"fwci":3.5876,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.92788013,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"2021","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T12384","display_name":"Customer churn and segmentation","score":0.9871000051498413,"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/T12394","display_name":"Insurance and Financial Risk Management","score":0.9484999775886536,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8015025854110718},{"id":"https://openalex.org/keywords/dynamism","display_name":"Dynamism","score":0.7688769102096558},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.675618052482605},{"id":"https://openalex.org/keywords/human-resources","display_name":"Human resources","score":0.6411832571029663},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6216842532157898},{"id":"https://openalex.org/keywords/competitive-advantage","display_name":"Competitive advantage","score":0.5117387771606445},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.46092483401298523},{"id":"https://openalex.org/keywords/python","display_name":"Python (programming language)","score":0.45985016226768494},{"id":"https://openalex.org/keywords/organizational-performance","display_name":"Organizational performance","score":0.4313563406467438},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.39294499158859253},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3492567837238312},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.20545446872711182},{"id":"https://openalex.org/keywords/management","display_name":"Management","score":0.1175408661365509},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10201650857925415}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8015025854110718},{"id":"https://openalex.org/C2775836275","wikidata":"https://www.wikidata.org/wiki/Q3502310","display_name":"Dynamism","level":2,"score":0.7688769102096558},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.675618052482605},{"id":"https://openalex.org/C107645774","wikidata":"https://www.wikidata.org/wiki/Q5467169","display_name":"Human resources","level":2,"score":0.6411832571029663},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6216842532157898},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.5117387771606445},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.46092483401298523},{"id":"https://openalex.org/C519991488","wikidata":"https://www.wikidata.org/wiki/Q28865","display_name":"Python (programming language)","level":2,"score":0.45985016226768494},{"id":"https://openalex.org/C165672731","wikidata":"https://www.wikidata.org/wiki/Q25047583","display_name":"Organizational performance","level":2,"score":0.4313563406467438},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.39294499158859253},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3492567837238312},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.20545446872711182},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.1175408661365509},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10201650857925415},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1155/2021/7747907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7747907","pdf_url":"https://downloads.hindawi.com/journals/acisc/2021/7747907.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:95de4ed320e54ea6bfc12a7022545ef5","is_oa":true,"landing_page_url":"https://doaj.org/article/95de4ed320e54ea6bfc12a7022545ef5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Computational Intelligence and Soft Computing, Vol 2021 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1155/2021/7747907","is_oa":true,"landing_page_url":"https://doi.org/10.1155/2021/7747907","pdf_url":"https://downloads.hindawi.com/journals/acisc/2021/7747907.pdf","source":{"id":"https://openalex.org/S30680879","display_name":"Applied Computational Intelligence and Soft Computing","issn_l":"1687-9724","issn":["1687-9724","1687-9732"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319869","host_organization_name":"Hindawi Publishing Corporation","host_organization_lineage":["https://openalex.org/P4310319869"],"host_organization_lineage_names":["Hindawi Publishing Corporation"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Computational Intelligence and Soft Computing","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.4699999988079071,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3200350012.pdf","grobid_xml":"https://content.openalex.org/works/W3200350012.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1436652029","https://openalex.org/W1583031633","https://openalex.org/W1980151175","https://openalex.org/W1995767741","https://openalex.org/W2019674567","https://openalex.org/W2041304617","https://openalex.org/W2062828236","https://openalex.org/W2077109673","https://openalex.org/W2085831731","https://openalex.org/W2182971916","https://openalex.org/W2185864946","https://openalex.org/W2221162003","https://openalex.org/W2317515691","https://openalex.org/W2396932848","https://openalex.org/W2397898075","https://openalex.org/W2582447906","https://openalex.org/W2883387735","https://openalex.org/W2891833193","https://openalex.org/W2913168483","https://openalex.org/W3006188180","https://openalex.org/W3038976147","https://openalex.org/W3103252752","https://openalex.org/W3113002161"],"related_works":["https://openalex.org/W2000438032","https://openalex.org/W2775384662","https://openalex.org/W2385556862","https://openalex.org/W4297288183","https://openalex.org/W4297802007","https://openalex.org/W2117883229","https://openalex.org/W1996657745","https://openalex.org/W1484761175","https://openalex.org/W4294678306","https://openalex.org/W2002122763"],"abstract_inverted_index":{"The":[0,33,97,211,253],"banking":[1],"industry":[2,287],"is":[3,39,102,278],"a":[4,30,78,83,87,149],"market":[5],"with":[6,73,205,248,258],"great":[7],"competition":[8],"and":[9,25,69,116,121,198,209,228,275],"dynamism":[10],"where":[11],"organizational":[12,23,74,226],"performance":[13,24,37,101,107,163,178,184,245,297],"becomes":[14,61],"paramount.":[15],"Different":[16],"indicators":[17,38],"can":[18,108,298],"be":[19,299],"used":[20],"to":[21,63,90,136,142,159,176,180,263,301],"measure":[22],"sustain":[26],"competitive":[27,58],"advantage":[28],"in":[29,51,55,110,130,188,224,239,261,272],"global":[31],"marketplace.":[32,59],"execution":[34],"of":[35,99,145,151,185,213,251,269],"the":[36,48,53,56,114,125,131,143,182,201,214,229,233,243,249,259,273,296,305],"usually":[40],"achieved":[41],"through":[42,200],"human":[43,66,192,219],"resources,":[44],"which":[45],"stand":[46],"as":[47,119,246],"core":[49],"element":[50],"sustaining":[52],"organization":[54],"highly":[57],"It":[60],"essential":[62],"effectively":[64],"manage":[65],"resources":[67,193,220],"strategically":[68],"align":[70],"its":[71],"strategies":[72],"strategies.":[75],"We":[76],"adopted":[77,133],"survey":[79],"research":[80],"design":[81],"using":[82],"quantitative":[84],"approach,":[85],"distributing":[86],"structured":[88],"questionnaire":[89],"305":[91],"respondents":[92],"utilizing":[93],"efficient":[94],"sampling":[95],"techniques.":[96],"prediction":[98,138,164],"bank":[100,115,244,286],"very":[103],"crucial":[104,223],"since":[105],"bad":[106],"result":[109],"serious":[111],"problems":[112],"for":[113],"society,":[117],"such":[118],"bankruptcy":[120],"negative":[122],"influence":[123],"on":[124,191,291],"country\u2019s":[126],"economy.":[127],"Most":[128],"researchers":[129,152],"past":[132],"traditional":[134],"statistics":[135],"build":[137,177],"models;":[139],"however,":[140],"due":[141],"efficiency":[144],"machine":[146,156,171,206,235],"learning":[147,157,172,207,236],"algorithms,":[148],"lot":[150],"now":[153],"apply":[154],"various":[155,160],"algorithms":[158,173,238],"fields,":[161],"including":[162],"systems.":[165],"In":[166],"this":[167,240],"study,":[168],"eight":[169,234],"different":[170],"were":[174],"employed":[175],"models":[179,230],"predict":[181,242],"prospective":[183],"commercial":[186],"banks":[187],"Nigeria":[189],"based":[190],"outcomes":[194,221],"(employee":[195],"skills,":[196],"attitude,":[197],"behavior)":[199],"Python":[202],"software":[203],"tool":[204],"libraries":[208],"packages.":[210],"results":[212],"analysis":[215],"clearly":[216],"show":[217,264],"that":[218,295],"are":[222],"achieving":[225],"performance,":[227],"built":[231],"from":[232,304],"classifier":[237],"study":[241],"superior":[247,307],"accuracies":[250],"74\u201381%.":[252],"feature":[254,271],"importance":[255,266],"was":[256],"computed":[257],"package":[260],"Scikit-learn":[262],"comparative":[265],"or":[267],"contribution":[268],"each":[270],"prediction,":[274],"employee":[276,292],"attitude":[277,293],"rated":[279],"far":[280],"more":[281,290],"than":[282],"other":[283],"features.":[284],"Nigeria\u2019s":[285],"should":[288],"focus":[289],"so":[294],"improved":[300],"outstanding":[302],"class":[303],"current":[306],"class.":[308]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
