{"id":"https://openalex.org/W4388617947","doi":"https://doi.org/10.1080/10447318.2023.2278283","title":"AI in the Workplace: Examining the Effects of ChatGPT on Information Support and Knowledge Acquisition","display_name":"AI in the Workplace: Examining the Effects of ChatGPT on Information Support and Knowledge Acquisition","publication_year":2023,"publication_date":"2023-11-12","ids":{"openalex":"https://openalex.org/W4388617947","doi":"https://doi.org/10.1080/10447318.2023.2278283"},"language":"en","primary_location":{"id":"doi:10.1080/10447318.2023.2278283","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2278283","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-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/A5064288829","display_name":"Hyeon Jo","orcid":"https://orcid.org/0000-0001-7442-4736"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyeon Jo","raw_affiliation_strings":["Headquarters, HJ Institute of Technology and Management, Bucheon, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-7442-4736","affiliations":[{"raw_affiliation_string":"Headquarters, HJ Institute of Technology and Management, Bucheon, Republic of Korea","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029268214","display_name":"Do-Hyung Park","orcid":"https://orcid.org/0000-0002-7278-5228"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Do-Hyung Park","raw_affiliation_strings":["Graduate School of Business IT, Kookmin University, Seoul, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-7278-5228","affiliations":[{"raw_affiliation_string":"Graduate School of Business IT, Kookmin University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5029268214"],"corresponding_institution_ids":["https://openalex.org/I110273157"],"apc_list":null,"apc_paid":null,"fwci":26.4236,"has_fulltext":false,"cited_by_count":49,"citation_normalized_percentile":{"value":0.99427611,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"40","issue":"23","first_page":"8091","last_page":"8106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.994700014591217,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"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/T12128","display_name":"AI in Service Interactions","score":0.9861999750137329,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9689000248908997,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.7268177270889282},{"id":"https://openalex.org/keywords/productivity","display_name":"Productivity","score":0.673910915851593},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.6314216256141663},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.6082062125205994},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.5669382214546204},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5108601450920105},{"id":"https://openalex.org/keywords/knowledge-acquisition","display_name":"Knowledge acquisition","score":0.45238780975341797},{"id":"https://openalex.org/keywords/applied-psychology","display_name":"Applied psychology","score":0.38890403509140015},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.3714984059333801},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.32543009519577026},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.27778226137161255},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.21597421169281006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12965014576911926},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.07264557480812073}],"concepts":[{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.7268177270889282},{"id":"https://openalex.org/C204983608","wikidata":"https://www.wikidata.org/wiki/Q2111958","display_name":"Productivity","level":2,"score":0.673910915851593},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.6314216256141663},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.6082062125205994},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.5669382214546204},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5108601450920105},{"id":"https://openalex.org/C2777220311","wikidata":"https://www.wikidata.org/wiki/Q6423340","display_name":"Knowledge acquisition","level":2,"score":0.45238780975341797},{"id":"https://openalex.org/C75630572","wikidata":"https://www.wikidata.org/wiki/Q538904","display_name":"Applied psychology","level":1,"score":0.38890403509140015},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.3714984059333801},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.32543009519577026},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.27778226137161255},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.21597421169281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12965014576911926},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.07264557480812073},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/10447318.2023.2278283","is_oa":false,"landing_page_url":"https://doi.org/10.1080/10447318.2023.2278283","pdf_url":null,"source":{"id":"https://openalex.org/S165559636","display_name":"International Journal of Human-Computer Interaction","issn_l":"1044-7318","issn":["1044-7318","1532-7590"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Human\u2013Computer Interaction","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":107,"referenced_works":["https://openalex.org/W1584626080","https://openalex.org/W1598829572","https://openalex.org/W1603746823","https://openalex.org/W1631150390","https://openalex.org/W1714723801","https://openalex.org/W1721421031","https://openalex.org/W1774460361","https://openalex.org/W1791587663","https://openalex.org/W1987258130","https://openalex.org/W1987450023","https://openalex.org/W2003429563","https://openalex.org/W2010453024","https://openalex.org/W2020266303","https://openalex.org/W2028176572","https://openalex.org/W2042629033","https://openalex.org/W2055461003","https://openalex.org/W2056912292","https://openalex.org/W2071141511","https://openalex.org/W2076045316","https://openalex.org/W2100379340","https://openalex.org/W2105846236","https://openalex.org/W2106096361","https://openalex.org/W2118816802","https://openalex.org/W2128291680","https://openalex.org/W2130892515","https://openalex.org/W2136447736","https://openalex.org/W2150153815","https://openalex.org/W2156125155","https://openalex.org/W2159516798","https://openalex.org/W2228966521","https://openalex.org/W2620350838","https://openalex.org/W2884757002","https://openalex.org/W2888444799","https://openalex.org/W2942968409","https://openalex.org/W2948937301","https://openalex.org/W2971955398","https://openalex.org/W2991646418","https://openalex.org/W3013171296","https://openalex.org/W3017020635","https://openalex.org/W3031856734","https://openalex.org/W3039324984","https://openalex.org/W3041452762","https://openalex.org/W3041514603","https://openalex.org/W3041759896","https://openalex.org/W3042929947","https://openalex.org/W3044483028","https://openalex.org/W3044731016","https://openalex.org/W3047297106","https://openalex.org/W3085789143","https://openalex.org/W3094446745","https://openalex.org/W3103891289","https://openalex.org/W3112307605","https://openalex.org/W3112478343","https://openalex.org/W3122947385","https://openalex.org/W3125976894","https://openalex.org/W3139251264","https://openalex.org/W3139433464","https://openalex.org/W3166559255","https://openalex.org/W3168623077","https://openalex.org/W3176849078","https://openalex.org/W3178738300","https://openalex.org/W3182242133","https://openalex.org/W3186209406","https://openalex.org/W3202285719","https://openalex.org/W3205211246","https://openalex.org/W3209912268","https://openalex.org/W3217043955","https://openalex.org/W4200525563","https://openalex.org/W4221024908","https://openalex.org/W4280525323","https://openalex.org/W4280572555","https://openalex.org/W4283278547","https://openalex.org/W4283384621","https://openalex.org/W4283794373","https://openalex.org/W4297381361","https://openalex.org/W4308119848","https://openalex.org/W4309146360","https://openalex.org/W4312163567","https://openalex.org/W4313479734","https://openalex.org/W4313608255","https://openalex.org/W4319301446","https://openalex.org/W4320495408","https://openalex.org/W4321153003","https://openalex.org/W4322718832","https://openalex.org/W4323255030","https://openalex.org/W4323652488","https://openalex.org/W4324316215","https://openalex.org/W4324323542","https://openalex.org/W4327860966","https://openalex.org/W4327936834","https://openalex.org/W4327946446","https://openalex.org/W4360620450","https://openalex.org/W4360847209","https://openalex.org/W4361002760","https://openalex.org/W4362466759","https://openalex.org/W4362722657","https://openalex.org/W4366989525","https://openalex.org/W4366990278","https://openalex.org/W4376143487","https://openalex.org/W4377234867","https://openalex.org/W4377942506","https://openalex.org/W4389523957","https://openalex.org/W6630307962","https://openalex.org/W6637563004","https://openalex.org/W6663345270","https://openalex.org/W6743681256","https://openalex.org/W7005922941"],"related_works":["https://openalex.org/W2303173273","https://openalex.org/W2024934382","https://openalex.org/W2513767888","https://openalex.org/W1971798297","https://openalex.org/W3147308590","https://openalex.org/W1528049813","https://openalex.org/W1968285868","https://openalex.org/W4388140417","https://openalex.org/W2364043478","https://openalex.org/W3153451317"],"abstract_inverted_index":{"The":[0,81,139],"rapid":[1],"development":[2],"and":[3,30,41,61,87,98,158,199],"widespread":[4],"adoption":[5],"of":[6,23,33,43,52,89,102,170,188],"artificial":[7],"intelligence":[8,86],"(AI)":[9],"systems":[10,191],"like":[11,192],"ChatGPT":[12,45,90,130,193],"in":[13],"the":[14,17,31,39,70,77,106,126,168],"workplace":[15,197],"underscores":[16],"need":[18],"for":[19,69,203],"a":[20,49,73,175,184],"comprehensive":[21],"understanding":[22,187],"their":[24,34,114],"implications":[25],"on":[26,76],"worker":[27],"productivity,":[28,198],"learning,":[29],"determinants":[32],"usage.":[35,138],"This":[36],"study":[37,82,182],"elucidates":[38],"antecedents":[40],"outcomes":[42],"using":[44],"among":[46],"workers,":[47],"employing":[48],"sample":[50],"size":[51],"351":[53],"participants":[54],"across":[55],"various":[56],"industries,":[57],"aged":[58],"between":[59,79],"20":[60],"40.":[62],"Structural":[63],"equation":[64],"modeling":[65],"(SEM)":[66],"was":[67,145],"employed":[68],"analysis,":[71],"providing":[72],"robust":[74],"perspective":[75],"relationships":[78],"variables.":[80],"discovered":[83],"that":[84],"perceived":[85,109],"self-learning":[88],"hold":[91,174],"significant":[92,176],"positive":[93],"associations":[94],"with":[95,150],"information":[96],"support":[97],"knowledge":[99],"acquisition,":[100],"both":[101],"which":[103],"further":[104],"influence":[105],"utilitarian":[107],"benefits":[108,120],"by":[110],"users,":[111],"thereby":[112],"shaping":[113],"intention":[115,127,140],"to":[116,123,128,141,147,196,206],"use":[117,129,142],"ChatGPT.":[118],"Utilitarian":[119],"were":[121,160],"found":[122,146],"significantly":[124,163],"enhance":[125],"but":[131],"did":[132,172],"not":[133,173],"directly":[134],"impact":[135],"its":[136,151],"actual":[137,152,165],"ChatGPT,":[143],"however,":[144],"positively":[148],"correlate":[149],"use.":[153],"Among":[154],"demographic":[155],"factors,":[156],"gender":[157],"age":[159],"identified":[161],"as":[162],"influencing":[164],"use,":[166],"whereas":[167],"industry":[169],"users":[171],"impact.":[177],"With":[178],"these":[179,209],"findings,":[180],"this":[181],"offers":[183],"more":[185],"profound":[186],"how":[189],"AI":[190],"can":[194],"contribute":[195],"presents":[200],"strategic":[201],"insights":[202],"practitioners":[204],"looking":[205],"effectively":[207],"implement":[208],"technologies.":[210]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":19}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}