{"id":"https://openalex.org/W4293413304","doi":"https://doi.org/10.3390/a15090300","title":"Correlation Analysis of Factors Affecting Firm Performance and Employees Wellbeing: Application of Advanced Machine Learning Analysis","display_name":"Correlation Analysis of Factors Affecting Firm Performance and Employees Wellbeing: Application of Advanced Machine Learning Analysis","publication_year":2022,"publication_date":"2022-08-26","ids":{"openalex":"https://openalex.org/W4293413304","doi":"https://doi.org/10.3390/a15090300"},"language":"en","primary_location":{"id":"doi:10.3390/a15090300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090300","pdf_url":"https://www.mdpi.com/1999-4893/15/9/300/pdf?version=1661936192","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1999-4893/15/9/300/pdf?version=1661936192","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003154263","display_name":"J\u00f3zsef Pap","orcid":null},"institutions":[{"id":"https://openalex.org/I83579964","display_name":"Sz\u00e9chenyi Istv\u00e1n University","ror":"https://ror.org/04091f946","country_code":"HU","type":"education","lineage":["https://openalex.org/I83579964"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Jozsef Pap","raw_affiliation_strings":["Szechenyi University Doctoral School of Management (SzEEDSM), Szechenyi Istvan University, 9026 Gyor, Hungary"],"affiliations":[{"raw_affiliation_string":"Szechenyi University Doctoral School of Management (SzEEDSM), Szechenyi Istvan University, 9026 Gyor, Hungary","institution_ids":["https://openalex.org/I83579964"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049714409","display_name":"Csaba Mak\u00f3","orcid":"https://orcid.org/0000-0002-2597-3103"},"institutions":[{"id":"https://openalex.org/I1331168281","display_name":"Ludovika University of Public Service","ror":"https://ror.org/040yeqy86","country_code":"HU","type":"education","lineage":["https://openalex.org/I1331168281"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Csaba Mako","raw_affiliation_strings":["Institute of the Information Society, National University of Public Service, 1083 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of the Information Society, National University of Public Service, 1083 Budapest, Hungary","institution_ids":["https://openalex.org/I1331168281"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015968999","display_name":"Mikl\u00f3s Ill\u00e9ssy","orcid":null},"institutions":[{"id":"https://openalex.org/I4387152226","display_name":"Hungarian Research Network","ror":"https://ror.org/04w6pnc49","country_code":null,"type":"funder","lineage":["https://openalex.org/I4387152226"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Miklos Illessy","raw_affiliation_strings":["Center for Social Sciences, Eotvos Lorand Research Network, 1097 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Center for Social Sciences, Eotvos Lorand Research Network, 1097 Budapest, Hungary","institution_ids":["https://openalex.org/I4387152226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056669517","display_name":"Zef Dedaj","orcid":null},"institutions":[{"id":"https://openalex.org/I79741316","display_name":"University of Pecs","ror":"https://ror.org/037b5pv06","country_code":"HU","type":"education","lineage":["https://openalex.org/I79741316"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Zef Dedaj","raw_affiliation_strings":["Doctoral School of Business Administration, University of Pecs, 7622 Pecs, Hungary"],"affiliations":[{"raw_affiliation_string":"Doctoral School of Business Administration, University of Pecs, 7622 Pecs, Hungary","institution_ids":["https://openalex.org/I79741316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009042729","display_name":"Sina Ardabili","orcid":"https://orcid.org/0000-0002-7744-7906"},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]}],"countries":["SK"],"is_corresponding":false,"raw_author_name":"Sina Ardabili","raw_affiliation_strings":["Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava, 81243 Bratislava, Slovakia"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava, 81243 Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032245135","display_name":"Bernat Torok","orcid":null},"institutions":[{"id":"https://openalex.org/I1331168281","display_name":"Ludovika University of Public Service","ror":"https://ror.org/040yeqy86","country_code":"HU","type":"education","lineage":["https://openalex.org/I1331168281"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Bernat Torok","raw_affiliation_strings":["Institute of the Information Society, National University of Public Service, 1083 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of the Information Society, National University of Public Service, 1083 Budapest, Hungary","institution_ids":["https://openalex.org/I1331168281"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109011370","display_name":"Amir Mosavi","orcid":null},"institutions":[{"id":"https://openalex.org/I110757952","display_name":"Slovak University of Technology in Bratislava","ror":"https://ror.org/0561ghm58","country_code":"SK","type":"education","lineage":["https://openalex.org/I110757952"]},{"id":"https://openalex.org/I103356709","display_name":"Obuda University","ror":"https://ror.org/00ax71d21","country_code":"HU","type":"education","lineage":["https://openalex.org/I103356709"]}],"countries":["HU","SK"],"is_corresponding":true,"raw_author_name":"Amir Mosavi","raw_affiliation_strings":["Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava, 81243 Bratislava, Slovakia","John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Automation and Mathematics, Slovak University of Technology in Bratislava, 81243 Bratislava, Slovakia","institution_ids":["https://openalex.org/I110757952"]},{"raw_affiliation_string":"John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary","institution_ids":["https://openalex.org/I103356709"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5109011370"],"corresponding_institution_ids":["https://openalex.org/I103356709","https://openalex.org/I110757952"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1515},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1515},"fwci":1.9864,"has_fulltext":true,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86485487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"15","issue":"9","first_page":"300","last_page":"300"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10154","display_name":"Customer Service Quality and Loyalty","score":0.9042999744415283,"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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.9042999744415283,"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/T14294","display_name":"Impulse Buying and Technology Impacts","score":0.9024999737739563,"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"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.9007999897003174,"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/mean-squared-error","display_name":"Mean squared error","score":0.8652654886245728},{"id":"https://openalex.org/keywords/mean-absolute-percentage-error","display_name":"Mean absolute percentage error","score":0.6891074180603027},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6026004552841187},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.49578413367271423},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.4865833520889282},{"id":"https://openalex.org/keywords/correlation-coefficient","display_name":"Correlation coefficient","score":0.46717554330825806},{"id":"https://openalex.org/keywords/weighted-arithmetic-mean","display_name":"Weighted arithmetic mean","score":0.416096955537796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40835946798324585},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.34251701831817627},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32996857166290283},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31311267614364624},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.14809241890907288}],"concepts":[{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.8652654886245728},{"id":"https://openalex.org/C150217764","wikidata":"https://www.wikidata.org/wiki/Q6803607","display_name":"Mean absolute percentage error","level":3,"score":0.6891074180603027},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6026004552841187},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.49578413367271423},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.4865833520889282},{"id":"https://openalex.org/C2780092901","wikidata":"https://www.wikidata.org/wiki/Q3433612","display_name":"Correlation coefficient","level":2,"score":0.46717554330825806},{"id":"https://openalex.org/C9490382","wikidata":"https://www.wikidata.org/wiki/Q729113","display_name":"Weighted arithmetic mean","level":2,"score":0.416096955537796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40835946798324585},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.34251701831817627},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32996857166290283},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31311267614364624},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.14809241890907288}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/a15090300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090300","pdf_url":"https://www.mdpi.com/1999-4893/15/9/300/pdf?version=1661936192","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},{"id":"pmh:oai:tudasportal.uni-nke.hu:20.500.12944/19971","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12944/19971","pdf_url":"https://tudasportal.uni-nke.hu/xmlui/bitstream/20.500.12944/19971/1/algorithms-15-00300-v2.pdf","source":{"id":"https://openalex.org/S7407055284","display_name":"K\u00f6zszolg\u00e1lati Tud\u00e1sport\u00e1l","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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/other"},{"id":"pmh:oai:doaj.org/article:af25abd2dd4849138f87c1d4c4ffd3e0","is_oa":true,"landing_page_url":"https://doaj.org/article/af25abd2dd4849138f87c1d4c4ffd3e0","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms, Vol 15, Iss 9, p 300 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/1999-4893/15/9/300/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/a15090300","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Algorithms; Volume 15; Issue 9; Pages: 300","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/a15090300","is_oa":true,"landing_page_url":"https://doi.org/10.3390/a15090300","pdf_url":"https://www.mdpi.com/1999-4893/15/9/300/pdf?version=1661936192","source":{"id":"https://openalex.org/S190629608","display_name":"Algorithms","issn_l":"1999-4893","issn":["1999-4893"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Algorithms","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4293413304.pdf","grobid_xml":"https://content.openalex.org/works/W4293413304.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1551875465","https://openalex.org/W1998414507","https://openalex.org/W2014557526","https://openalex.org/W2020273743","https://openalex.org/W2025032307","https://openalex.org/W2033011996","https://openalex.org/W2042460614","https://openalex.org/W2044827781","https://openalex.org/W2045164376","https://openalex.org/W2301085521","https://openalex.org/W2757339428","https://openalex.org/W2766585573","https://openalex.org/W2791561409","https://openalex.org/W2798007355","https://openalex.org/W2897210834","https://openalex.org/W2917942954","https://openalex.org/W2946396870","https://openalex.org/W2970659650","https://openalex.org/W3087654064","https://openalex.org/W3123171947","https://openalex.org/W3200788654","https://openalex.org/W4213276044","https://openalex.org/W4213437520","https://openalex.org/W4229045872","https://openalex.org/W4247368943","https://openalex.org/W4281703620","https://openalex.org/W4282968577","https://openalex.org/W4283715696","https://openalex.org/W6751050864","https://openalex.org/W6801969909","https://openalex.org/W6812187561","https://openalex.org/W6829068754","https://openalex.org/W6839185739"],"related_works":["https://openalex.org/W4318676890","https://openalex.org/W4385195237","https://openalex.org/W2039947585","https://openalex.org/W3178576217","https://openalex.org/W4285102093","https://openalex.org/W4210644201","https://openalex.org/W3111532652","https://openalex.org/W4283367183","https://openalex.org/W4381189085","https://openalex.org/W4255385072"],"abstract_inverted_index":{"Given":[0],"the":[1,15,24,29,67,70,100,104,122,125,129,158,193],"importance":[2],"of":[3,26,69,99,106,124,131,157,166,176],"identifying":[4],"key":[5],"performance":[6,25,59,101,113,126,156,202],"points":[7],"in":[8,22,199],"organizations,":[9],"this":[10],"research":[11],"intends":[12],"to":[13,43,56,65],"determine":[14],"most":[16,198],"critical":[17],"intra-":[18],"and":[19,60,89,108,119,121,133,144,152,169,178,186,189,203],"extra-organizational":[20],"elements":[21],"assessing":[23],"firms":[27],"using":[28,50],"European":[30],"Company":[31],"Survey":[32],"(ECS)":[33],"2019":[34,38],"framework.":[35],"The":[36,96,154,180],"ECS":[37],"survey":[39],"data":[40],"were":[41,114,139],"used":[42],"train":[44],"an":[45,51],"artificial":[46],"neural":[47],"network":[48],"optimized":[49],"imperialist":[52],"competitive":[53],"algorithm":[54],"(ANN-ICA)":[55],"forecast":[57],"business":[58],"employee":[61,137],"wellbeing.":[62,204],"In":[63],"order":[64],"assess":[66],"correctness":[68],"model,":[71],"root":[72],"mean":[73,77,82,97],"square":[74,83],"error":[75,80,84],"(RMSE),":[76],"absolute":[78],"percentage":[79],"(MAPE),":[81],"(MSE),":[85],"correlation":[86],"coefficient":[87,91],"(r),":[88],"determination":[90],"(R2)":[92],"have":[93],"been":[94],"employed.":[95],"values":[98,165,175],"criteria":[102],"for":[103,128,147],"impact":[105,130],"internal":[107,132],"external":[109,134],"factors":[110,135,195],"on":[111,136],"firm":[112,201],"1.06,":[115],"0.002,":[116],"0.041,":[117],"0.9,":[118],"0.83,":[120,143],"value":[123],"metrics":[127],"wellbeing":[138],"0.84,":[140],"0.0019,":[141],"0.0319,":[142],"0.71":[145],"(respectively,":[146],"MAPE,":[148,167],"MSE,":[149,168],"RMSE,":[150,170],"r,":[151],"R2).":[153],"great":[155],"ANN-ICA":[159],"model":[160],"is":[161],"indicated":[162],"by":[163],"low":[164],"as":[171,173],"well":[172],"high":[174],"r":[177],"R2.":[179],"outcomes":[181],"showed":[182],"that":[183,196],"\u201cskills":[184],"requirements":[185],"skill":[187],"matching\u201d":[188],"\u201cemployee":[190],"voice\u201d":[191],"are":[192],"two":[194],"matter":[197],"enhancing":[200]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
