{"id":"https://openalex.org/W3093005700","doi":"https://doi.org/10.1108/imds-08-2020-0505","title":"Next-generation prediction metrics for composite-based PLS-SEM","display_name":"Next-generation prediction metrics for composite-based PLS-SEM","publication_year":2020,"publication_date":"2020-10-15","ids":{"openalex":"https://openalex.org/W3093005700","doi":"https://doi.org/10.1108/imds-08-2020-0505","mag":"3093005700"},"language":"en","primary_location":{"id":"doi:10.1108/imds-08-2020-0505","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-08-2020-0505","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data Systems","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/A5079243605","display_name":"Joe F. Hair","orcid":null},"institutions":[{"id":"https://openalex.org/I83809506","display_name":"University of South Alabama","ror":"https://ror.org/01s7b5y08","country_code":"US","type":"education","lineage":["https://openalex.org/I83809506"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Joe F. Hair Jr","raw_affiliation_strings":["Marketing, University of South Alabama, Mobile, Alabama, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marketing, University of South Alabama, Mobile, Alabama, USA","institution_ids":["https://openalex.org/I83809506"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5079243605"],"corresponding_institution_ids":["https://openalex.org/I83809506"],"apc_list":null,"apc_paid":null,"fwci":8.0217,"has_fulltext":false,"cited_by_count":262,"citation_normalized_percentile":{"value":0.98692179,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"121","issue":"1","first_page":"5","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10321","display_name":"Quantum Dots Synthesis And Properties","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10321","display_name":"Quantum Dots Synthesis And Properties","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11948","display_name":"Machine Learning in Materials Science","score":0.9344000220298767,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.8017264008522034},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.646755039691925},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6280574798583984},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5711764097213745},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5466644167900085},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4856204092502594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4591827094554901},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.44254475831985474},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42436468601226807},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14735928177833557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14139783382415771}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.8017264008522034},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.646755039691925},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6280574798583984},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5711764097213745},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5466644167900085},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4856204092502594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4591827094554901},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.44254475831985474},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42436468601226807},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14735928177833557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14139783382415771},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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:10.1108/imds-08-2020-0505","is_oa":false,"landing_page_url":"https://doi.org/10.1108/imds-08-2020-0505","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management &amp; Data Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1774460361","https://openalex.org/W2001916972","https://openalex.org/W2008441192","https://openalex.org/W2066090712","https://openalex.org/W2068480333","https://openalex.org/W2077944541","https://openalex.org/W2093332920","https://openalex.org/W2112081648","https://openalex.org/W2151020819","https://openalex.org/W2342472925","https://openalex.org/W2346157870","https://openalex.org/W2460403273","https://openalex.org/W2584419678","https://openalex.org/W2595629513","https://openalex.org/W2755862626","https://openalex.org/W2885100201","https://openalex.org/W2901240514","https://openalex.org/W2905811773","https://openalex.org/W2923410225","https://openalex.org/W2946989286","https://openalex.org/W2951936974","https://openalex.org/W2955829435","https://openalex.org/W2995576379","https://openalex.org/W3013959154","https://openalex.org/W3018428404","https://openalex.org/W3019599513","https://openalex.org/W3028431654","https://openalex.org/W3047279303","https://openalex.org/W3121452939","https://openalex.org/W3123613287","https://openalex.org/W3150796314","https://openalex.org/W3212171356","https://openalex.org/W4250602443","https://openalex.org/W6748336046"],"related_works":["https://openalex.org/W4293088233","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W2999104021","https://openalex.org/W2774950576","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W2057598446","https://openalex.org/W4236933217","https://openalex.org/W4210818743"],"abstract_inverted_index":{"Purpose":[0],"The":[1,72,120],"purpose":[2],"of":[3,11,27,42,53,114,125,141,146],"this":[4],"study":[5],"is":[6],"to":[7,84,90,104,143,152],"provide":[8,95],"an":[9,123],"overview":[10,124],"emerging":[12],"prediction":[13,22,31,76,99,131],"assessment":[14,32,100],"tools":[15,33],"for":[16,34,50,62,133],"composite-based":[17,35,134],"PLS-SEM,":[18],"particularly":[19],"proposed":[20,59,129],"out-of-sample":[21,30,130],"methodologies.":[23],"Design/methodology/approach":[24],"A":[25],"review":[26],"recently":[28,126],"developed":[29,57,110,127],"PLS-SEM":[36,135],"that":[37,78,136],"will":[38,79,137],"expand":[39],"the":[40,88,112,139,153],"skills":[41],"researchers":[43,142],"and":[44,58,65,69,86,108,128],"inform":[45],"them":[46],"on":[47,111],"new":[48],"methodologies":[49],"improving":[51],"evaluation":[52],"theoretical":[54,93,115],"models.":[55],"Recently":[56],"cross-validation":[60],"approaches":[61],"model":[63,116],"comparisons":[64],"benchmarking":[66],"are":[67,102],"reviewed":[68],"evaluated.":[70],"Findings":[71],"results":[73],"summarize":[74],"next-generation":[75],"metrics":[77,101,132],"substantially":[80],"improve":[81],"researchers'":[82],"ability":[83,140],"assess":[85],"report":[87],"extent":[89],"which":[91],"their":[92,147],"models":[94],"meaningful":[96],"predictions.":[97],"Improved":[98],"essential":[103],"justify":[105],"(practical)":[106],"implications":[107],"recommendations":[109],"basis":[113],"estimation":[117],"results.":[118],"Originality/value":[119],"paper":[121],"provides":[122],"enhance":[138],"demonstrate":[144],"generalization":[145],"findings":[148],"from":[149],"sample":[150],"data":[151],"population.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":36},{"year":2025,"cited_by_count":49},{"year":2024,"cited_by_count":67},{"year":2023,"cited_by_count":49},{"year":2022,"cited_by_count":29},{"year":2021,"cited_by_count":28},{"year":2020,"cited_by_count":4}],"updated_date":"2026-08-05T07:39:15.569665","created_date":"2025-10-10T00:00:00"}
