{"id":"https://openalex.org/W4385650496","doi":"https://doi.org/10.3390/jtaer18030069","title":"Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market","display_name":"Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market","publication_year":2023,"publication_date":"2023-08-08","ids":{"openalex":"https://openalex.org/W4385650496","doi":"https://doi.org/10.3390/jtaer18030069"},"language":"en","primary_location":{"id":"doi:10.3390/jtaer18030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jtaer18030069","pdf_url":"https://www.mdpi.com/0718-1876/18/3/69/pdf?version=1691476364","source":{"id":"https://openalex.org/S27967161","display_name":"Journal of theoretical and applied electronic commerce research","issn_l":"0718-1876","issn":["0718-1876"],"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":"Journal of Theoretical and Applied Electronic Commerce Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/0718-1876/18/3/69/pdf?version=1691476364","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5019331550","display_name":"Piotr Gajewski","orcid":"https://orcid.org/0000-0001-6013-5167"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Piotr Gajewski","raw_affiliation_strings":["Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045231288","display_name":"Boris \u010cule","orcid":"https://orcid.org/0000-0003-1539-0892"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Boris \u010cule","raw_affiliation_strings":["Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064302239","display_name":"Nevena Rankovi\u0107","orcid":"https://orcid.org/0000-0002-9910-5886"},"institutions":[{"id":"https://openalex.org/I193700539","display_name":"Tilburg University","ror":"https://ror.org/04b8v1s79","country_code":"NL","type":"education","lineage":["https://openalex.org/I193700539"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Nevena Rankovic","raw_affiliation_strings":["Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands"],"raw_orcid":"https://orcid.org/0000-0002-9910-5886","affiliations":[{"raw_affiliation_string":"Department of Cognitive Science and Artificial Intelligence, School of Humanities and Digital Sciences, Tilburg University, 5037 AB Tilburg, The Netherlands","institution_ids":["https://openalex.org/I193700539"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5064302239"],"corresponding_institution_ids":["https://openalex.org/I193700539"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1082},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1082},"fwci":2.9129,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.91221931,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"18","issue":"3","first_page":"1365","last_page":"1403"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9575999975204468,"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"}},"topics":[{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9575999975204468,"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"}},{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9437000155448914,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"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/T13812","display_name":"AI and HR Technologies","score":0.9420999884605408,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.9083619117736816},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7662837505340576},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7391507625579834},{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.6772361993789673},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6548517942428589},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6358802318572998},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6298377513885498},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5606776475906372},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.47912001609802246},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4342445731163025},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.41950327157974243},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32657232880592346},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1647382378578186},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.12110307812690735}],"concepts":[{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.9083619117736816},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7662837505340576},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7391507625579834},{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.6772361993789673},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6548517942428589},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358802318572998},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6298377513885498},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5606776475906372},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.47912001609802246},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4342445731163025},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.41950327157974243},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32657232880592346},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1647382378578186},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.12110307812690735},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jtaer18030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jtaer18030069","pdf_url":"https://www.mdpi.com/0718-1876/18/3/69/pdf?version=1691476364","source":{"id":"https://openalex.org/S27967161","display_name":"Journal of theoretical and applied electronic commerce research","issn_l":"0718-1876","issn":["0718-1876"],"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":"Journal of Theoretical and Applied Electronic Commerce Research","raw_type":"journal-article"},{"id":"pmh:oai:tilburguniversity.edu:openaire/1d97e4c1-2cf4-4d5e-8d24-b3890d545ce4","is_oa":true,"landing_page_url":"https://research.tilburguniversity.edu/en/publications/1d97e4c1-2cf4-4d5e-8d24-b3890d545ce4","pdf_url":null,"source":{"id":"https://openalex.org/S4306401490","display_name":"Research portal (Tilburg University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193700539","host_organization_name":"Tilburg University","host_organization_lineage":["https://openalex.org/I193700539"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Gajewski, P, \u010cule, B & Rankovi\u0107, N 2023, 'Unveiling the Power of ARIMA, Support Vector and Random Forest Regressors for the Future of the Dutch Employment Market', Journal of theoretical and applied electronic commerce research, vol. 18, no. 3, pp. 1365-1403. https://doi.org/10.3390/jtaer18030069","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:ccf21a5609a54394b315c8a7248ff35e","is_oa":true,"landing_page_url":"https://doaj.org/article/ccf21a5609a54394b315c8a7248ff35e","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Theoretical and Applied Electronic Commerce Research, Vol 18, Iss 3, Pp 1365-1403 (2023)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/0718-1876/18/3/69/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/jtaer18030069","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":"Journal of Theoretical and Applied Electronic Commerce Research; Volume 18; Issue 3; Pages: 1365-1403","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jtaer18030069","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jtaer18030069","pdf_url":"https://www.mdpi.com/0718-1876/18/3/69/pdf?version=1691476364","source":{"id":"https://openalex.org/S27967161","display_name":"Journal of theoretical and applied electronic commerce research","issn_l":"0718-1876","issn":["0718-1876"],"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":"Journal of Theoretical and Applied Electronic Commerce Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.7799999713897705}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4385650496.pdf"},"referenced_works_count":43,"referenced_works":["https://openalex.org/W1645752154","https://openalex.org/W2048847844","https://openalex.org/W2092315180","https://openalex.org/W2170804496","https://openalex.org/W2183506476","https://openalex.org/W2191035085","https://openalex.org/W2292253466","https://openalex.org/W2607120372","https://openalex.org/W2750021257","https://openalex.org/W2782589782","https://openalex.org/W2801733548","https://openalex.org/W2899910289","https://openalex.org/W2947014533","https://openalex.org/W2948490758","https://openalex.org/W2965939257","https://openalex.org/W2982252711","https://openalex.org/W2982396421","https://openalex.org/W3005102752","https://openalex.org/W3008005073","https://openalex.org/W3019785922","https://openalex.org/W3046886259","https://openalex.org/W3088738441","https://openalex.org/W3093451924","https://openalex.org/W3105114834","https://openalex.org/W3112590582","https://openalex.org/W3119034708","https://openalex.org/W3124695286","https://openalex.org/W3135699536","https://openalex.org/W3160350047","https://openalex.org/W3160423699","https://openalex.org/W3181588610","https://openalex.org/W3186747256","https://openalex.org/W3202225423","https://openalex.org/W4200585573","https://openalex.org/W4224949042","https://openalex.org/W4284977667","https://openalex.org/W4297515098","https://openalex.org/W4307724005","https://openalex.org/W4313300198","https://openalex.org/W4315778700","https://openalex.org/W6686498326","https://openalex.org/W6736809301","https://openalex.org/W6766963511"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W2004826645","https://openalex.org/W3135818052","https://openalex.org/W3175321409","https://openalex.org/W4312561791","https://openalex.org/W2389894046","https://openalex.org/W2215717369","https://openalex.org/W2974356760"],"abstract_inverted_index":{"The":[0],"increasing":[1],"popularity":[2],"of":[3,21,29,42,79],"online":[4,57],"job":[5,58],"vacancies":[6,59],"and":[7,24,47,109,157,183],"machine":[8,52,161],"learning":[9,53,162],"methods":[10],"has":[11],"raised":[12],"questions":[13],"about":[14],"their":[15],"combination":[16],"to":[17,38,61,76,106,127,145,148],"enhance":[18],"our":[19],"understanding":[20],"labour":[22],"markets":[23],"algorithms.":[25],"However,":[26],"the":[27,40,62,77,80,110,114,128,165],"lack":[28],"comparable":[30],"studies":[31],"necessitates":[32],"further":[33],"investigation.":[34],"This":[35],"research":[36,97,174],"aims":[37],"explore":[39],"effectiveness":[41],"Random":[43],"Forest":[44],"Regressor":[45,50],"(RFR)":[46],"Support":[48],"Vector":[49],"(SVR)":[51],"models":[54,163,185],"in":[55,74,169],"predicting":[56],"compared":[60],"auto-regressive":[63],"ARIMA":[64,167],"method.":[65],"To":[66],"answer":[67],"this":[68,101],"question,":[69],"detailed":[70],"sub-questions":[71],"are":[72],"posed":[73],"relation":[75],"sub-samples":[78],"main":[81],"data":[82],"provided":[83],"by":[84,92],"Birch":[85],"Consultants,":[86],"an":[87],"external":[88,111],"partner":[89],"originally":[90],"obtained":[91],"Jobdigger.":[93],"Drawing":[94],"upon":[95],"previous":[96],"on":[98,177],"time-series":[99],"accuracy,":[100],"study":[102],"combines":[103],"various":[104],"approaches":[105],"benefit":[107],"society":[108],"partner.":[112],"Using":[113],"walk-forward":[115],"validation":[116],"method,":[117],"with":[118],"a":[119],"91-day":[120],"expanding":[121],"window,":[122],"it":[123],"provides":[124],"precise":[125],"answers":[126],"sub-questions.":[129],"Findings":[130],"suggest":[131],"that":[132],"RFR":[133],"is":[134,142],"suitable":[135],"for":[136,186],"forecasting":[137],"larger":[138],"samples,":[139],"while":[140],"SVR":[141],"preferred":[143],"due":[144],"its":[146],"capability":[147],"predict":[149],"small":[150,154],"series":[151],"despite":[152],"relatively":[153],"scoring":[155],"benefits":[156],"computational":[158],"costs.":[159],"Both":[160],"outperform":[164],"baseline":[166],"model":[168],"capturing":[170],"complex":[171],"time-series.":[172],"Further":[173],"should":[175],"focus":[176],"exploring":[178],"advanced":[179],"auto-regressive,":[180],"deep":[181],"learning,":[182],"hybrid":[184],"future":[187],"investigations.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
