{"id":"https://openalex.org/W7046089707","doi":null,"title":"The Business Case for AI in HR: With Insights and Tips on Getting Started","display_name":"The Business Case for AI in HR: With Insights and Tips on Getting Started","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W7046089707"},"language":"en","primary_location":{"id":"pmh:oai:eprints.gold.ac.uk:33662","doi":null,"is_oa":false,"landing_page_url":"https://research.gold.ac.uk/id/eprint/33662/1/ibm-business-case-ai-in-hr.pdf","pdf_url":"https://research.gold.ac.uk/id/eprint/33662/1/ibm-business-case-ai-in-hr.pdf","source":{"id":"https://openalex.org/S4306400496","display_name":"Goldsmiths (University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Published Version","raw_type":"Report"},"volume":null,"type":"report","is_traditional":false,"indexed_in":[],"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/A5007023175","display_name":"Nigel Guenole","orcid":"https://orcid.org/0000-0001-7991-9180","observed_orcids":["https://orcid.org/0000-0001-7991-9180"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guenole, Nigel","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136780464","display_name":"Sheri L Feinzig","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Feinzig, Sheri","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":20,"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":true,"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/T12415","display_name":"Employer Branding and e-HRM","score":0.0,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.0,"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/artificial-intelligence-in-human-resource-management","display_name":"artificial intelligence in human resource management","score":0.9700000286102295},{"id":"https://openalex.org/keywords/ibm","display_name":"IBM","score":0.6990000009536743},{"id":"https://openalex.org/keywords/applicant-attraction","display_name":"applicant attraction","score":0.628000020980835},{"id":"https://openalex.org/keywords/personnel-selection","display_name":"personnel selection","score":0.8259999752044678},{"id":"https://openalex.org/keywords/workplace-learning","display_name":"workplace learning","score":0.8199999928474426},{"id":"https://openalex.org/keywords/compensation","display_name":"compensation","score":0.7379999756813049},{"id":"https://openalex.org/keywords/career-management","display_name":"career management","score":0.9959999918937683},{"id":"https://openalex.org/keywords/employee-experience","display_name":"employee experience","score":0.9710000157356262},{"id":"https://openalex.org/keywords/algorithmic-fairness","display_name":"algorithmic fairness","score":0.5849999785423279},{"id":"https://openalex.org/keywords/societal-impact-of-ai","display_name":"societal impact of AI","score":0.7329999804496765},{"id":"https://openalex.org/keywords/workforce-skills-development","display_name":"workforce skills development","score":0.578000009059906}],"concepts":[{"id":"https://openalex.org/C70388272","wikidata":"https://www.wikidata.org/wiki/Q5968558","display_name":"IBM","level":2,"score":0.7497000098228455},{"id":"https://openalex.org/C24845683","wikidata":"https://www.wikidata.org/wiki/Q178651","display_name":"Interview","level":2,"score":0.7300000190734863},{"id":"https://openalex.org/C2778139618","wikidata":"https://www.wikidata.org/wiki/Q13440398","display_name":"Workforce","level":2,"score":0.6535999774932861},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.5785999894142151},{"id":"https://openalex.org/C107645774","wikidata":"https://www.wikidata.org/wiki/Q5467169","display_name":"Human resources","level":2,"score":0.5266000032424927},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.49729999899864197},{"id":"https://openalex.org/C57252376","wikidata":"https://www.wikidata.org/wiki/Q1896170","display_name":"Business case","level":2,"score":0.4643000066280365},{"id":"https://openalex.org/C202372285","wikidata":"https://www.wikidata.org/wiki/Q1056396","display_name":"Human resource management","level":2,"score":0.46299999952316284},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.40619999170303345},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.3953999876976013},{"id":"https://openalex.org/C74243121","wikidata":"https://www.wikidata.org/wiki/Q1540863","display_name":"Information technology consulting","level":5,"score":0.3781999945640564},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.3528999984264374},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.34779998660087585},{"id":"https://openalex.org/C157170001","wikidata":"https://www.wikidata.org/wiki/Q4781507","display_name":"Applications of artificial intelligence","level":2,"score":0.34470000863075256},{"id":"https://openalex.org/C2779968149","wikidata":"https://www.wikidata.org/wiki/Q8034851","display_name":"Workforce development","level":3,"score":0.33899998664855957},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.33899998664855957},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31540000438690186},{"id":"https://openalex.org/C110354214","wikidata":"https://www.wikidata.org/wiki/Q6314146","display_name":"Engineering management","level":1,"score":0.3021000027656555},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.2939999997615814},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.2913999855518341},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.28619998693466187},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2858999967575073},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.27810001373291016},{"id":"https://openalex.org/C155663085","wikidata":"https://www.wikidata.org/wiki/Q1056396","display_name":"Workforce planning","level":3,"score":0.2651999890804291},{"id":"https://openalex.org/C2776943663","wikidata":"https://www.wikidata.org/wiki/Q165687","display_name":"Human capital","level":2,"score":0.25839999318122864},{"id":"https://openalex.org/C2776587543","wikidata":"https://www.wikidata.org/wiki/Q850171","display_name":"Job interview","level":2,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:eprints.gold.ac.uk:33662","doi":null,"is_oa":false,"landing_page_url":"https://research.gold.ac.uk/id/eprint/33662/1/ibm-business-case-ai-in-hr.pdf","pdf_url":"https://research.gold.ac.uk/id/eprint/33662/1/ibm-business-case-ai-in-hr.pdf","source":{"id":"https://openalex.org/S4306400496","display_name":"Goldsmiths (University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"Published Version","raw_type":"Report"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.8686000108718872}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7212300409","https://openalex.org/W4414269101","https://openalex.org/W7160876470","https://openalex.org/W7134557624","https://openalex.org/W7151966975","https://openalex.org/W4414881919","https://openalex.org/W7206185834","https://openalex.org/W2934681535","https://openalex.org/W7221133439","https://openalex.org/W4296240624"],"abstract_inverted_index":{"IBM\u2019s":[0],"HR":[1,59,72,102,129],"function":[2,60],"was":[3],"one":[4],"of":[5,21,101,118,146,181],"the":[6,35,48,58,137,147,166,177],"first":[7],"to":[8,25,27,57,163],"adopt":[9],"artificial":[10],"intelligence":[11],"(AI)":[12],"technology":[13],"and":[14,23,83,128,171,176],"this":[15,33],"means":[16],"it":[17,74],"has":[18,150],"a":[19],"wealth":[20],"insights":[22],"learnings":[24],"share":[26],"help":[28],"others":[29],"get":[30,164],"started.":[31],"In":[32,140],"report,":[34],"IBM":[36,149],"Smarter":[37],"Workforce":[38],"Institute":[39],"summarizes":[40],"those":[41],"learnings,":[42],"which":[43],"were":[44],"gathered":[45],"by":[46],"interviewing":[47],"senior":[49],"human":[50],"resource":[51],"executives":[52],"responsible":[53],"for":[54],"bringing":[55],"AI":[56,68,110,182],"at":[61],"IBM.":[62],"\\n":[63,76,104],"\\nThe":[64],"executive":[65],"interviews":[66],"revealed":[67],"is":[69,108],"effective":[70],"in":[71,114],"because":[73],"helps:":[75],"\\n\u2022":[77,81,87,91,96],"Solve":[78],"business":[79],"challenges":[80],"Attract":[82],"develop":[84],"new":[85],"skills":[86,167],"Improve":[88],"employee":[89,138],"experiences":[90],"Provide":[92],"analytical":[93],"decision":[94],"support":[95],"Make":[97],"more":[98],"efficient":[99],"use":[100,134],"budgets":[103],"\\nIBM":[105],"HR\u2019s":[106],"experience":[107],"that":[109],"can":[111],"be":[112],"applied":[113],"almost":[115],"any":[116],"area":[117],"HR,":[119],"including":[120],"candidate":[121],"attraction,":[122],"hiring,":[123],"learning,":[124],"compensation,":[125],"career":[126],"management,":[127],"support.":[130],"This":[131],"report":[132],"includes":[133],"cases":[135],"across":[136],"journey.":[139],"each":[141],"area,":[142],"we":[143],"describe":[144],"some":[145],"benefits":[148],"seen":[151],"since":[152],"implementing":[153],"AI.":[154],"We":[155],"also":[156],"cover":[157],"practical":[158],"topics":[159],"such":[160],"as":[161],"how":[162],"started,":[165],"you":[168],"will":[169],"need,":[170],"important":[172],"issues":[173],"about":[174],"fairness":[175],"broader":[178],"societal":[179],"effects":[180],"on":[183],"jobs.":[184]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":1}],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2025-10-10T00:00:00"}
