{"id":"https://openalex.org/W3029683228","doi":"https://doi.org/10.1108/ijwis-05-2020-0026","title":"Success prediction of crowdfunding campaigns: a two-phase modeling","display_name":"Success prediction of crowdfunding campaigns: a two-phase modeling","publication_year":2020,"publication_date":"2020-07-24","ids":{"openalex":"https://openalex.org/W3029683228","doi":"https://doi.org/10.1108/ijwis-05-2020-0026","mag":"3029683228"},"language":"en","primary_location":{"id":"doi:10.1108/ijwis-05-2020-0026","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-05-2020-0026","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"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":"International Journal of Web Information 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/A5041352967","display_name":"Lafaiet Silva","orcid":null},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Lafaiet Silva","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034540373","display_name":"N\u00e1dia F\u00e9lix Felipe da Silva","orcid":"https://orcid.org/0000-0002-3875-2211"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"N\u00e1dia F\u00e9lix Silva","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024659734","display_name":"Thierson Couto Rosa","orcid":"https://orcid.org/0000-0001-7117-3994"},"institutions":[{"id":"https://openalex.org/I68106152","display_name":"Universidade Federal de Goi\u00e1s","ror":"https://ror.org/0039d5757","country_code":"BR","type":"education","lineage":["https://openalex.org/I68106152"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Thierson Rosa","raw_affiliation_strings":["Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Instituto de Inform\u00e1tica, Federal University of Goias, Goiania, Brazil","institution_ids":["https://openalex.org/I68106152"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I68106152"],"apc_list":null,"apc_paid":null,"fwci":1.0104,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.79962119,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"4","first_page":"387","last_page":"412"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":1.0,"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"}},{"id":"https://openalex.org/T10987","display_name":"Microfinance and Financial Inclusion","score":0.9973999857902527,"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.9731000065803528,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6593953371047974},{"id":"https://openalex.org/keywords/mean-squared-error","display_name":"Mean squared error","score":0.6201503872871399},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.46006715297698975},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44203096628189087},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.44046762585639954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28693997859954834},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28623104095458984},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1769466996192932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6593953371047974},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.6201503872871399},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.46006715297698975},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44203096628189087},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.44046762585639954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28693997859954834},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28623104095458984},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1769466996192932},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/ijwis-05-2020-0026","is_oa":false,"landing_page_url":"https://doi.org/10.1108/ijwis-05-2020-0026","pdf_url":null,"source":{"id":"https://openalex.org/S145159096","display_name":"International Journal of Web Information Systems","issn_l":"1744-0084","issn":["1744-0084","1744-0092"],"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":"International Journal of Web Information Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W335906599","https://openalex.org/W771899779","https://openalex.org/W1507711477","https://openalex.org/W1586335931","https://openalex.org/W1614298861","https://openalex.org/W1875061881","https://openalex.org/W1899819976","https://openalex.org/W1985194760","https://openalex.org/W2267899723","https://openalex.org/W2493916176","https://openalex.org/W2516821356","https://openalex.org/W2586488925","https://openalex.org/W2911964244","https://openalex.org/W3121716941"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2041415459","https://openalex.org/W2593155302","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W2352855287","https://openalex.org/W4200071106","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412"],"abstract_inverted_index":{"Purpose":[0],"This":[1,263],"study":[2],"aims":[3],"to":[4,79,99,123,191,222,259],"analyze":[5],"Kickstarter":[6,18],"data":[7,12,15,249],"along":[8],"with":[9,167,209,244],"social":[10],"media":[11],"from":[13,250],"a":[14,20,26,36,87,105,130,140,151,159,179,207,224,245,251,265],"mining":[16],"perspective.":[17],"is":[19,25,31,97],"crowdfunding":[21,54,252],"financing":[22],"plataform":[23],"and":[24,30,47,60,110,137],"form":[27],"of":[28,42,53,69,73,75,121,150,163,170,181,194,198,203,212,227,229,247,276],"fundraising":[29],"increasingly":[32],"being":[33],"adopted":[34],"as":[35],"source":[37],"for":[38,145,175,272],"achieving":[39],"the":[40,50,65,71,115,119,165,201,242,260],"viability":[41],"projects.":[43],"Despite":[44],"its":[45],"importance":[46],"adoption":[48],"growth,":[49],"success":[51,74],"rate":[52],"campaigns":[55,76,166],"was":[56,189,220],"47%":[57],"in":[58,132,148],"2017,":[59],"it":[61,96,219],"has":[62],"decreased":[63],"over":[64],"years.":[66],"A":[67],"way":[68],"increasing":[70],"chances":[72],"would":[77,89],"be":[78,90,124],"predict,":[80],"by":[81,111],"using":[82],"machine":[83],"learning":[84],"techniques,":[85],"if":[86,101],"campaign":[88,106,152,199,208],"successful.":[91],"By":[92],"applying":[93,112],"classification":[94],"models,":[95,114],"possible":[98],"estimate":[100],"whether":[102],"or":[103],"not":[104],"will":[107],"achieve":[108,192,223],"success,":[109],"regression":[113,173],"authors":[116,128,157,236],"can":[117],"forecast":[118],"amount":[120],"money":[122],"funded.":[125],"Design/methodology/approach":[126],"The":[127,156,172,186,235,254],"propose":[129],"solution":[131],"two":[133],"phases,":[134],"namely,":[135],"launching":[136],"campaigning.":[138],"As":[139],"result,":[141],"models":[142],"better":[143],"suited":[144],"each":[146],"point":[147],"time":[149],"life":[153],"cycle.":[154],"Findings":[155],"produced":[158],"static":[160],"predictor":[161],"capable":[162],"classifying":[164],"an":[168],"accuracy":[169,195],"71%.":[171],"method":[174],"phase":[176],"one":[177],"achieved":[178],"6.45":[180],"root":[182,230],"mean":[183,231],"squared":[184,232],"error.":[185,233],"dynamic":[187],"classifier":[188],"able":[190,221],"85%":[193],"before":[196],"10%":[197],"duration,":[200],"equivalent":[202],"3":[204],"days,":[205],"given":[206],"30":[210],"days":[211],"length.":[213],"At":[214],"this":[215,239,274],"same":[216],"period":[217],"time,":[218],"forecasting":[225],"performance":[226],"2.5":[228],"Originality/value":[234],"carry":[237],"out":[238],"research":[240,270],"presenting":[241],"results":[243,255],"set":[246],"real":[248],"platform.":[253],"are":[256],"discussed":[257],"according":[258],"existing":[261],"literature.":[262,277],"provides":[264],"comprehensive":[266],"review,":[267],"detailing":[268],"important":[269],"instructions":[271],"advancing":[273],"field":[275]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
