{"id":"https://openalex.org/W4415322601","doi":"https://doi.org/10.63125/vrsjp515","title":"A QUANTITATIVE STUDY ON AI-DRIVEN EMPLOYEE PERFORMANCE ANALYTICS IN MULTINATIONAL ORGANIZATIONS","display_name":"A QUANTITATIVE STUDY ON AI-DRIVEN EMPLOYEE PERFORMANCE ANALYTICS IN MULTINATIONAL ORGANIZATIONS","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4415322601","doi":"https://doi.org/10.63125/vrsjp515"},"language":"en","primary_location":{"id":"doi:10.63125/vrsjp515","doi":"https://doi.org/10.63125/vrsjp515","is_oa":true,"landing_page_url":"https://doi.org/10.63125/vrsjp515","pdf_url":"https://ajisresearch.com/index.php/ajis/article/download/49/47","source":{"id":"https://openalex.org/S5407048897","display_name":"American Journal of Interdisciplinary Studies","issn_l":"3067-5146","issn":["3067-5146"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Interdisciplinary Studies","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ajisresearch.com/index.php/ajis/article/download/49/47","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"MBA in International Business","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"MBA in International Business","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026315277","display_name":"Omar Muhammad Faruk","orcid":"https://orcid.org/0000-0002-0170-5825","observed_orcids":["https://orcid.org/0000-0002-0170-5825"]},"institutions":[{"id":"https://openalex.org/I57664883","display_name":"Ajou University","ror":"https://ror.org/03tzb2h73","country_code":"KR","type":"education","lineage":["https://openalex.org/I57664883"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Omar Muhammad Faruk","raw_affiliation_strings":["MBA in International Business; Ajou University, Suwon, South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MBA in International Business; Ajou University, Suwon, South Korea","institution_ids":["https://openalex.org/I57664883"]}]},{"author_position":"last","author":{"id":null,"display_name":"Md. Redwanul Islam","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I40253897","display_name":"University of New Haven","ror":"https://ror.org/00zm4rq24","country_code":"US","type":"education","lineage":["https://openalex.org/I40253897"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Md. Redwanul Islam","raw_affiliation_strings":["MSc, Finance & Financial Analytics, University of New Haven - West Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MSc, Finance & Financial Analytics, University of New Haven - West Haven, CT, USA","institution_ids":["https://openalex.org/I40253897"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.9466,"has_fulltext":true,"cited_by_count":42,"citation_normalized_percentile":{"value":0.98039775,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"04","issue":"04","first_page":"145","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13812","display_name":"AI and HR Technologies","score":1.0,"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":1.0,"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/T11891","display_name":"Big Data and Business Intelligence","score":9.999999747378752e-05,"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"}},{"id":"https://openalex.org/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.0,"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/analytics-capability","display_name":"analytics capability","score":0.8130000233650208},{"id":"https://openalex.org/keywords/perceived-fairness","display_name":"perceived fairness","score":0.746999979019165},{"id":"https://openalex.org/keywords/procedural-justice","display_name":"procedural justice","score":0.8930000066757202},{"id":"https://openalex.org/keywords/distributive-fairness","display_name":"distributive fairness","score":0.9980000257492065},{"id":"https://openalex.org/keywords/job-performance","display_name":"employee performance","score":0.8830000162124634},{"id":"https://openalex.org/keywords/multinational-organizations","display_name":"multinational organizations","score":0.6389999985694885},{"id":"https://openalex.org/keywords/hr-analytics","display_name":"HR analytics","score":0.6510000228881836},{"id":"https://openalex.org/keywords/performance-management","display_name":"performance management","score":0.3840000033378601},{"id":"https://openalex.org/keywords/data-governance","display_name":"data governance","score":0.3959999978542328},{"id":"https://openalex.org/keywords/explainability","display_name":"explainability","score":0.8690000176429749},{"id":"https://openalex.org/keywords/performance-feedback","display_name":"performance feedback","score":0.3240000009536743}],"concepts":[{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.7023000121116638},{"id":"https://openalex.org/C93225998","wikidata":"https://www.wikidata.org/wiki/Q1941972","display_name":"Moderation","level":2,"score":0.6100000143051147},{"id":"https://openalex.org/C158016649","wikidata":"https://www.wikidata.org/wiki/Q161726","display_name":"Multinational corporation","level":2,"score":0.5325999855995178},{"id":"https://openalex.org/C24614281","wikidata":"https://www.wikidata.org/wiki/Q17086331","display_name":"Moderated mediation","level":2,"score":0.5213000178337097},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.46399998664855957},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4226999878883362},{"id":"https://openalex.org/C179420905","wikidata":"https://www.wikidata.org/wiki/Q223871","display_name":"Mediation","level":2,"score":0.4124000072479248},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.4000999927520752},{"id":"https://openalex.org/C53059260","wikidata":"https://www.wikidata.org/wiki/Q374758","display_name":"Multilevel model","level":2,"score":0.37709999084472656},{"id":"https://openalex.org/C67674302","wikidata":"https://www.wikidata.org/wiki/Q730573","display_name":"Organizational culture","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C37952496","wikidata":"https://www.wikidata.org/wiki/Q5001829","display_name":"Business analytics","level":4,"score":0.3580999970436096},{"id":"https://openalex.org/C165672731","wikidata":"https://www.wikidata.org/wiki/Q25047583","display_name":"Organizational performance","level":2,"score":0.3560999929904938},{"id":"https://openalex.org/C12532035","wikidata":"https://www.wikidata.org/wiki/Q1399956","display_name":"Performance management","level":2,"score":0.33480000495910645},{"id":"https://openalex.org/C99753626","wikidata":"https://www.wikidata.org/wiki/Q14937678","display_name":"Employee engagement","level":2,"score":0.32199999690055847},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.3163999915122986},{"id":"https://openalex.org/C106033793","wikidata":"https://www.wikidata.org/wiki/Q457332","display_name":"Ambidexterity","level":2,"score":0.289900004863739},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.27559998631477356},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2745000123977661},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.26969999074935913},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.2639000117778778},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.25999999046325684},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.25929999351501465}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.63125/vrsjp515","doi":"https://doi.org/10.63125/vrsjp515","is_oa":true,"landing_page_url":"https://doi.org/10.63125/vrsjp515","pdf_url":"https://ajisresearch.com/index.php/ajis/article/download/49/47","source":{"id":"https://openalex.org/S5407048897","display_name":"American Journal of Interdisciplinary Studies","issn_l":"3067-5146","issn":["3067-5146"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Interdisciplinary Studies","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.63125/vrsjp515","doi":"https://doi.org/10.63125/vrsjp515","is_oa":true,"landing_page_url":"https://doi.org/10.63125/vrsjp515","pdf_url":"https://ajisresearch.com/index.php/ajis/article/download/49/47","source":{"id":"https://openalex.org/S5407048897","display_name":"American Journal of Interdisciplinary Studies","issn_l":"3067-5146","issn":["3067-5146"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"American Journal of Interdisciplinary Studies","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7257999777793884,"display_name":"Decent work and economic growth"}],"study_designs":[{"id":"https://openalex.org/study-designs/observational-study","display_name":"Observational Study"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415322601.pdf","grobid_xml":"https://content.openalex.org/works/W4415322601.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W397107425","https://openalex.org/W1479674189","https://openalex.org/W1978795070","https://openalex.org/W1985705086","https://openalex.org/W2081084322","https://openalex.org/W2087245834","https://openalex.org/W2091359547","https://openalex.org/W2105301421","https://openalex.org/W2108387116","https://openalex.org/W2137125422","https://openalex.org/W2140938420","https://openalex.org/W2157395790","https://openalex.org/W2169667133","https://openalex.org/W2222612072","https://openalex.org/W2261525379","https://openalex.org/W2327678559","https://openalex.org/W2339446221","https://openalex.org/W2360467051","https://openalex.org/W2487200295","https://openalex.org/W2505786633","https://openalex.org/W2515300481","https://openalex.org/W2517745273","https://openalex.org/W2554886781","https://openalex.org/W2757331291","https://openalex.org/W2763473974","https://openalex.org/W2800068874","https://openalex.org/W2804274048","https://openalex.org/W2889180445","https://openalex.org/W2901834984","https://openalex.org/W2905604475","https://openalex.org/W2947337027","https://openalex.org/W2951936974","https://openalex.org/W3125633690","https://openalex.org/W3125976894","https://openalex.org/W4409406505","https://openalex.org/W4411001690","https://openalex.org/W4413189598","https://openalex.org/W4413299897","https://openalex.org/W4413759725","https://openalex.org/W4413811344","https://openalex.org/W4413951968","https://openalex.org/W4414027143","https://openalex.org/W4414139443","https://openalex.org/W4414139543","https://openalex.org/W4414139576","https://openalex.org/W4414199373","https://openalex.org/W4414244476","https://openalex.org/W4414301973","https://openalex.org/W4414370547","https://openalex.org/W4414583440","https://openalex.org/W4414670744","https://openalex.org/W4414715371","https://openalex.org/W4415024126","https://openalex.org/W4415024190","https://openalex.org/W7084033432","https://openalex.org/W7084121870"],"related_works":["https://openalex.org/W7204136716","https://openalex.org/W7202134362","https://openalex.org/W6949316404","https://openalex.org/W7220719416","https://openalex.org/W7219974063","https://openalex.org/W7163736219","https://openalex.org/W4226326712","https://openalex.org/W7084596790","https://openalex.org/W7214169671","https://openalex.org/W7214386384"],"abstract_inverted_index":{"This":[0],"study":[1],"addresses":[2],"the":[3,27],"practical":[4],"and":[5,32,34,37,41,62,92,100,107,117,124,136,141,150,158,184,192,204,223,228,235,243],"ethical":[6],"challenge":[7],"of":[8,75,86,104,168],"using":[9],"AI-driven":[10],"employee":[11],"performance":[12,172,244],"analytics":[13,30,169,190],"to":[14,25,38,50,231],"inform":[15],"people":[16],"decisions":[17,245],"across":[18,246],"heterogeneous":[19],"multinational":[20],"contexts.":[21],"The":[22,130],"purpose":[23],"is":[24],"quantify":[26],"association":[28],"between":[29],"capability":[31],"use":[33],"individual":[35],"performance,":[36],"test":[39],"mechanisms":[40],"boundary":[42],"conditions":[43],"that":[44,210],"explain":[45],"when":[46],"such":[47],"systems":[48],"relate":[49],"better":[51],"outcomes.":[52],"Adopting":[53],"a":[54,72,164,175],"quantitative,":[55],"cross-sectional,":[56],"case-based":[57],"design,":[58],"we":[59],"surveyed":[60],"employees":[61],"managers":[63],"in":[64],"five":[65],"enterprise":[66],"cloud/HRIS":[67],"environments":[68],"(multinational":[69],"firms),":[70],"yielding":[71],"pooled":[73],"sample":[74],"N":[76],"=":[77],"3,274":[78],"nested":[79],"within":[80],"organizations.":[81],"A":[82],"focused":[83],"literature":[84],"base":[85],"39":[87],"peer-reviewed":[88],"articles":[89],"informed":[90],"constructs":[91],"hypotheses.":[93],"Key":[94],"variables":[95],"were":[96],"AI":[97],"Analytics":[98,105,110],"Capability":[99],"Use,":[101,116],"Perceived":[102],"Fairness":[103],"(procedural":[106],"distributive),":[108],"Manager":[109],"Literacy,":[111],"Organizational":[112],"Culture":[113],"for":[114,202],"Data":[115],"Employee":[118],"Performance":[119],"(Likert":[120],"composites":[121],"with":[122,139,156,225],"split-source":[123],"objective":[125],"KPI":[126,206],"subsets":[127],"where":[128,188],"available).":[129],"analysis":[131],"plan":[132],"specified":[133],"descriptives,":[134],"correlations,":[135],"hierarchical":[137],"regressions":[138],"heteroskedasticity-":[140],"cluster-robust":[142],"inference;":[143],"mediation":[144],"was":[145],"assessed":[146],"via":[147,152],"bias-corrected":[148],"bootstrapping,":[149],"moderation":[151],"centered":[153],"interaction":[154],"terms":[155],"simple-slope":[157],"Johnson\u2013Neyman":[159],"probes.":[160],"Headline":[161],"findings":[162],"indicate":[163],"positive":[165],"main":[166],"effect":[167],"capability/use":[170],"on":[171],"after":[173],"controls,":[174],"significant":[176],"indirect":[177],"pathway":[178],"through":[179],"perceived":[180,233],"fairness":[181,234],"(partial":[182],"mediation),":[183],"reliably":[185],"stronger":[186],"slopes":[187],"manager":[189,226],"literacy":[191],"data-use":[193],"culture":[194],"are":[195,209,214],"higher":[196],"(positive":[197],"interactions);":[198],"convergent":[199],"patterns":[200],"held":[201],"manager-rated":[203],"de-identified":[205],"subsets.":[207],"Implications":[208],"technical":[211],"investments":[212],"alone":[213],"insufficient:":[215],"organizations":[216],"should":[217],"pair":[218],"governed":[219],"pipelines,":[220],"versioned":[221],"metrics,":[222],"explainability":[224],"enablement":[227],"data-culture":[229],"rituals":[230],"raise":[232],"translate":[236],"model":[237],"outputs":[238],"into":[239],"accepted,":[240],"high-quality":[241],"feedback":[242],"jurisdictions.":[247]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2025-10-19T00:00:00"}