{"id":"https://openalex.org/W4387711976","doi":"https://doi.org/10.1109/acit58437.2023.10275641","title":"A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product","display_name":"A Bayesian Network Approach to Measure the Impact of Factors Characterizing the State of Educational Institutions on the Gross Domestic Product","publication_year":2023,"publication_date":"2023-09-21","ids":{"openalex":"https://openalex.org/W4387711976","doi":"https://doi.org/10.1109/acit58437.2023.10275641"},"language":"en","primary_location":{"id":"doi:10.1109/acit58437.2023.10275641","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/acit58437.2023.10275641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Advanced Computer Information Technologies (ACIT)","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/A5065715738","display_name":"Mariia Voronenko","orcid":"https://orcid.org/0000-0002-5392-5125"},"institutions":[{"id":"https://openalex.org/I118493624","display_name":"Kherson National Technical University","ror":"https://ror.org/04trbj059","country_code":"UA","type":"education","lineage":["https://openalex.org/I118493624"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Mariia Voronenko","raw_affiliation_strings":["Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","institution_ids":["https://openalex.org/I118493624"]},{"raw_affiliation_string":"Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine","institution_ids":["https://openalex.org/I118493624"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002320403","display_name":"Elizaveta Mikhailova","orcid":null},"institutions":[{"id":"https://openalex.org/I4210095647","display_name":"National University of Water and Environmental Engineering","ror":"https://ror.org/00ppfcz28","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210095647"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Elizaveta Mikhailova","raw_affiliation_strings":["National University of Water and Environmental Engineering,Department of Economic Theories,Rivne,Ukraine","Department of Economic Theories, National University of Water and Environmental Engineering, Rivne, Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Water and Environmental Engineering,Department of Economic Theories,Rivne,Ukraine","institution_ids":["https://openalex.org/I4210095647"]},{"raw_affiliation_string":"Department of Economic Theories, National University of Water and Environmental Engineering, Rivne, Ukraine","institution_ids":["https://openalex.org/I4210095647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004483299","display_name":"\u041d\u0430\u0442\u0430\u043b\u0456\u044f \u0421\u0430\u0432\u0456\u043d\u0430","orcid":"https://orcid.org/0000-0001-8339-1219"},"institutions":[{"id":"https://openalex.org/I4210095647","display_name":"National University of Water and Environmental Engineering","ror":"https://ror.org/00ppfcz28","country_code":"UA","type":"education","lineage":["https://openalex.org/I4210095647"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Nataliia Savina","raw_affiliation_strings":["National University of Water and Environmental Engineering,Department of Economic Theories,Rivne,Ukraine","Department of Economic Theories, National University of Water and Environmental Engineering, Rivne, Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Water and Environmental Engineering,Department of Economic Theories,Rivne,Ukraine","institution_ids":["https://openalex.org/I4210095647"]},{"raw_affiliation_string":"Department of Economic Theories, National University of Water and Environmental Engineering, Rivne, Ukraine","institution_ids":["https://openalex.org/I4210095647"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031903715","display_name":"Iryna Lurie","orcid":"https://orcid.org/0000-0001-8915-728X"},"institutions":[{"id":"https://openalex.org/I118493624","display_name":"Kherson National Technical University","ror":"https://ror.org/04trbj059","country_code":"UA","type":"education","lineage":["https://openalex.org/I118493624"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Iryna Lurie","raw_affiliation_strings":["Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","institution_ids":["https://openalex.org/I118493624"]},{"raw_affiliation_string":"Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine","institution_ids":["https://openalex.org/I118493624"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033022212","display_name":"Volodymyr Lytvynenko","orcid":"https://orcid.org/0000-0002-1536-5542"},"institutions":[{"id":"https://openalex.org/I118493624","display_name":"Kherson National Technical University","ror":"https://ror.org/04trbj059","country_code":"UA","type":"education","lineage":["https://openalex.org/I118493624"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Volodymyr Lytvynenko","raw_affiliation_strings":["Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine"],"affiliations":[{"raw_affiliation_string":"Kherson National Technical University,Department of Informatics and Computer Science,Kherson,Ukraine","institution_ids":["https://openalex.org/I118493624"]},{"raw_affiliation_string":"Department of Informatics and Computer Science, Kherson National Technical University, Kherson, Ukraine","institution_ids":["https://openalex.org/I118493624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5065715738"],"corresponding_institution_ids":["https://openalex.org/I118493624"],"apc_list":null,"apc_paid":null,"fwci":0.1578,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48197638,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"2","issue":null,"first_page":"316","last_page":"320"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11303","display_name":"Bayesian Modeling and Causal Inference","score":0.9394000172615051,"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/measure","display_name":"Measure (data warehouse)","score":0.6889333724975586},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.6850466132164001},{"id":"https://openalex.org/keywords/gross-domestic-product","display_name":"Gross domestic product","score":0.6742882132530212},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785198211669922},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5618739128112793},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5081658363342285},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.46629780530929565},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.44646385312080383},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3024749755859375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2474478781223297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19785866141319275},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.18133071064949036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.08196026086807251},{"id":"https://openalex.org/keywords/economic-growth","display_name":"Economic growth","score":0.07665622234344482}],"concepts":[{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.6889333724975586},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.6850466132164001},{"id":"https://openalex.org/C114350782","wikidata":"https://www.wikidata.org/wiki/Q12638","display_name":"Gross domestic product","level":2,"score":0.6742882132530212},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785198211669922},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5618739128112793},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5081658363342285},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.46629780530929565},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.44646385312080383},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3024749755859375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2474478781223297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19785866141319275},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.18133071064949036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.08196026086807251},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.07665622234344482},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acit58437.2023.10275641","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/acit58437.2023.10275641","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 13th International Conference on Advanced Computer Information Technologies (ACIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W53197328","https://openalex.org/W214136370","https://openalex.org/W600585325","https://openalex.org/W1587150650","https://openalex.org/W1752343677","https://openalex.org/W1925758254","https://openalex.org/W2103547885","https://openalex.org/W2137587467","https://openalex.org/W2145039203","https://openalex.org/W2146148951","https://openalex.org/W2187635266","https://openalex.org/W2800991267","https://openalex.org/W2804197927","https://openalex.org/W2991844356","https://openalex.org/W3006549497","https://openalex.org/W4214722936","https://openalex.org/W6635147717","https://openalex.org/W6640308373","https://openalex.org/W6752207291"],"related_works":["https://openalex.org/W4255837520","https://openalex.org/W2387011115","https://openalex.org/W2596911466","https://openalex.org/W4234808182","https://openalex.org/W2166830762","https://openalex.org/W2382043075","https://openalex.org/W2809151339","https://openalex.org/W2360673138","https://openalex.org/W2809370583","https://openalex.org/W2389748081"],"abstract_inverted_index":{"The":[0,81,110,137],"crisis":[1,71,151],"in":[2,16,22,33,133,152,162,173],"the":[3,23,40,44,48,52,66,69,73,76,93,98,104,120,129,134,140,146,149,153,174],"field":[4,154],"of":[5,25,68,75,95,100,119,139,148,155,176],"higher":[6],"education":[7,77,135],"occurs":[8],"at":[9],"all":[10],"educational":[11],"levels":[12],"and":[13,19,43,124,164],"is":[14,79],"manifested":[15],"insufficient":[17],"material":[18],"technical":[20],"equipment,":[21],"form":[24],"unequal":[26],"access":[27],"to":[28,36,54,91,116,127,144,159,170],"high-quality":[29],"learning":[30],"programs,":[31],"which":[32,166],"turn":[34],"leads":[35],"an":[37,171],"imbalance":[38],"between":[39],"acquired":[41],"skills":[42],"existing":[45],"demand":[46],"on":[47,72,103],"labor":[49],"market.":[50],"Therefore,":[51],"need":[53],"develop":[55,125],"a":[56,84,88],"technology":[57],"that,":[58],"taking":[59],"into":[60],"account":[61],"certain":[62],"factors,":[63],"will":[64,167],"reduce":[65,128,145],"impact":[67,94],"economic":[70,130,150],"state":[74,99],"sector,":[78],"relevant.":[80],"paper":[82],"proposes":[83],"guidance":[85],"for":[86],"developing":[87],"Bayesian":[89],"network":[90],"measure":[92],"factors":[96],"characterizing":[97],"tuitional":[101],"foundations":[102],"country\u2019s":[105],"gross":[106],"domestic":[107],"product":[108],"(GDP).":[109],"developed":[111],"model":[112],"makes":[113],"it":[114],"possible":[115],"identify":[117],"combinations":[118],"most":[121],"significant":[122],"aspects":[123],"strategies":[126],"crisis\u2019s":[131],"consequences":[132,147],"field.":[136],"results":[138],"modelling":[141],"reaffirmed":[142],"that":[143],"tuition,":[156],"it\u2019s":[157],"desirable":[158],"increase":[160,172],"investment":[161],"research":[163],"development,":[165],"ultimately":[168],"lead":[169],"degree":[175],"GDP.":[177]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-22T23:10:17.713674","created_date":"2025-10-10T00:00:00"}