{"id":"https://openalex.org/W4366003295","doi":"https://doi.org/10.1186/s40537-023-00723-6","title":"Exploring investor-business-market interplay for business success prediction","display_name":"Exploring investor-business-market interplay for business success prediction","publication_year":2023,"publication_date":"2023-04-16","ids":{"openalex":"https://openalex.org/W4366003295","doi":"https://doi.org/10.1186/s40537-023-00723-6","pmid":"https://pubmed.ncbi.nlm.nih.gov/37089902"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-023-00723-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00723-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00723-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00723-6","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5008292958","display_name":"Divya Gangwani","orcid":"https://orcid.org/0000-0002-9275-7419"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Divya Gangwani","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084641325","display_name":"Xingquan Zhu","orcid":"https://orcid.org/0000-0003-4129-9611"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xingquan Zhu","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057260089","display_name":"Borko Furht","orcid":"https://orcid.org/0000-0002-3584-9659"},"institutions":[{"id":"https://openalex.org/I63772739","display_name":"Florida Atlantic University","ror":"https://ror.org/05p8w6387","country_code":"US","type":"education","lineage":["https://openalex.org/I63772739"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Borko Furht","raw_affiliation_strings":["Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL 33431 USA","institution_ids":["https://openalex.org/I63772739"]},{"raw_affiliation_string":"Department of Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, 33431, USA","institution_ids":["https://openalex.org/I63772739"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5008292958"],"corresponding_institution_ids":["https://openalex.org/I63772739"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":3.3554,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.92053594,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"10","issue":"1","first_page":"48","last_page":"48"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10019","display_name":"Corporate Finance and Governance","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T10019","display_name":"Corporate Finance and Governance","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11903","display_name":"Private Equity and Venture Capital","score":0.9842000007629395,"subfield":{"id":"https://openalex.org/subfields/1402","display_name":"Accounting"},"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/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9836000204086304,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.6726858019828796},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5963917970657349},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3646206855773926},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.17061081528663635}],"concepts":[{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.6726858019828796},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5963917970657349},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3646206855773926},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.17061081528663635}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s40537-023-00723-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00723-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00723-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},{"id":"pmid:37089902","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37089902","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of big data","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10105907","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10105907","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10105907/pdf/40537_2023_Article_723.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"J Big Data","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:96bb77dd93ad41f3a69c78228e66c451","is_oa":true,"landing_page_url":"https://doaj.org/article/96bb77dd93ad41f3a69c78228e66c451","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":"Journal of Big Data, Vol 10, Iss 1, Pp 1-28 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-023-00723-6","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-023-00723-6","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-023-00723-6","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"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 Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4366003295.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W46790137","https://openalex.org/W158052132","https://openalex.org/W1482761558","https://openalex.org/W1523040519","https://openalex.org/W1986008543","https://openalex.org/W2011871313","https://openalex.org/W2022096927","https://openalex.org/W2033556959","https://openalex.org/W2036695500","https://openalex.org/W2066523057","https://openalex.org/W2075748664","https://openalex.org/W2082238712","https://openalex.org/W2100148483","https://openalex.org/W2122723105","https://openalex.org/W2337455698","https://openalex.org/W2585499563","https://openalex.org/W2760100808","https://openalex.org/W2789149930","https://openalex.org/W2790955109","https://openalex.org/W2888577068","https://openalex.org/W2897756463","https://openalex.org/W2901543691","https://openalex.org/W3009833768","https://openalex.org/W3029177415","https://openalex.org/W3033668954","https://openalex.org/W3049101820","https://openalex.org/W3088735601","https://openalex.org/W3097507789","https://openalex.org/W3122113377","https://openalex.org/W3126100588","https://openalex.org/W3169162645","https://openalex.org/W4205783499","https://openalex.org/W4213456298","https://openalex.org/W4214489515","https://openalex.org/W4220750100","https://openalex.org/W4280627850","https://openalex.org/W4285678304","https://openalex.org/W4289847601","https://openalex.org/W4293224548","https://openalex.org/W4295065015","https://openalex.org/W6676769703","https://openalex.org/W7056605166"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W2350741829","https://openalex.org/W2530322880","https://openalex.org/W1596801655"],"abstract_inverted_index":{"Abstract":[0,264],"The":[1,57,209],"success":[2,62,151,182,240],"of":[3,11,60,88,149,173,184],"the":[4,9,12,23,35,89,100,115,131,147,166,171,187,216,231],"business":[5,24,55,61,71,105,121,127,143,150,181,207,239,257,261],"directly":[6],"contributes":[7],"towards":[8],"growth":[10],"nation.":[13],"Hence":[14],"it":[15,245],"is":[16,64,109,246],"important":[17,117,244],"to":[18,43,47,83,103,113,205,230,247,254],"evaluate":[19],"and":[20,76,123,156,176,219,241],"predict":[21,104,206],"whether":[22],"will":[25],"be":[26],"successful":[27,86],"or":[28],"not.":[29],"In":[30],"this":[31,154],"study,":[32],"we":[33,134],"use":[34],"company\u2019s":[36],"dataset":[37],"which":[38,169],"contains":[39],"information":[40],"from":[41],"startups":[42],"Fortune":[44],"1000":[45],"companies":[46],"create":[48],"a":[49,85,111,136,141,212],"machine":[50,193],"learning":[51,194,201],"model":[52],"for":[53,69,190],"predicting":[54,238,260],"success.":[56,128,208,262],"main":[58],"challenge":[59,112],"prediction":[63],"twofold:":[65],"(1)":[66],"Identifying":[67],"variables":[68],"defining":[70,140],"success;":[72],"(2)":[73],"Feature":[74],"selection":[75],"feature":[77],"engineering":[78],"based":[79,145],"on":[80,146,165],"Investor-Business-Market":[81,232],"interrelation":[82,125],"provide":[84],"outcome":[87],"predictive":[90],"modeling.":[91,191],"Many":[92],"studies":[93],"have":[94],"been":[95],"carried":[96],"out":[97,162],"using":[98,185,222],"only":[99,186],"available":[101,188],"features":[102,118,159,178,189,228,253],"success,":[106],"however,":[107],"there":[108],"still":[110],"identify":[114,248],"most":[116],"in":[119,153,179,215,237],"different":[120,256],"angles":[122,258],"their":[124],"with":[126],"Motivated":[129],"by":[130,139,160],"above":[132],"challenge,":[133],"propose":[135],"new":[137,142,227],"approach":[138],"target":[144],"definition":[148],"used":[152],"study":[155],"develop":[157],"additional":[158],"carrying":[161],"statistical":[163],"analysis":[164],"training":[167],"data":[168],"highlights":[170],"importance":[172],"investments,":[174],"business,":[175],"market":[177],"forecasting":[180],"instead":[183],"Ensemble":[192],"methods":[195,202],"as":[196,198],"well":[197],"existing":[199],"supervised":[200],"were":[203],"applied":[204],"results":[210],"demonstrated":[211,234],"significant":[213,249],"improvement":[214],"overall":[217],"accuracy":[218],"AUC":[220],"score":[221],"ensemble":[223],"methods.":[224],"By":[225],"adding":[226],"related":[229],"entity":[233],"good":[235],"performance":[236],"proved":[242],"how":[243],"relationships":[250],"between":[251],"these":[252],"cover":[255],"when":[259],"Graphical":[263]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}
