{"id":"https://openalex.org/W4367840554","doi":"https://doi.org/10.1016/j.frl.2023.103966","title":"Evaluating Fintech industry's risks: A preliminary analysis based on CRISP-DM framework","display_name":"Evaluating Fintech industry's risks: A preliminary analysis based on CRISP-DM framework","publication_year":2023,"publication_date":"2023-05-03","ids":{"openalex":"https://openalex.org/W4367840554","doi":"https://doi.org/10.1016/j.frl.2023.103966"},"language":"en","primary_location":{"id":"doi:10.1016/j.frl.2023.103966","doi":"https://doi.org/10.1016/j.frl.2023.103966","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.frl.2023.103966","pdf_url":null,"source":{"id":"https://openalex.org/S88577320","display_name":"Finance research letters","issn_l":"1544-6123","issn":["1544-6123","1544-6131"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","fnege-3","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Finance Research Letters","raw_type":"journal-article"},"volume":null,"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":null,"display_name":"Aijun Cheng","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I177739611","display_name":"Yangtze University","ror":"https://ror.org/05bhmhz54","country_code":"CN","type":"education","lineage":["https://openalex.org/I177739611"]},{"id":"https://openalex.org/I40963666","display_name":"Central China Normal University","ror":"https://ror.org/03x1jna21","country_code":"CN","type":"education","lineage":["https://openalex.org/I40963666"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Aijun Cheng","raw_affiliation_strings":["School of Law, Central China Normal University, Wuhan Hubei, 430079, China","School of Law, Yangtze University, Jingzhou Hubei, 434023, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Law, Central China Normal University, Wuhan Hubei, 430079, China","institution_ids":["https://openalex.org/I40963666"]},{"raw_affiliation_string":"School of Law, Yangtze University, Jingzhou Hubei, 434023, China","institution_ids":["https://openalex.org/I177739611"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I177739611","https://openalex.org/I40963666"],"apc_list":{"value":2930,"currency":"USD","value_usd":2930},"apc_paid":null,"fwci":4.0248,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.935091,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"55","issue":null,"first_page":"103966","last_page":"103966"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.9585000276565552,"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":0.9585000276565552,"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/T11653","display_name":"Financial Distress and Bankruptcy Prediction","score":0.03350000083446503,"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/T13346","display_name":"Digital Transformation in Financial Services","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/2000","display_name":"General Economics, Econometrics and Finance"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/fintech","display_name":"fintech","score":0.8460000157356262},{"id":"https://openalex.org/keywords/financial-risk-assessment","display_name":"financial risk assessment","score":0.9139999747276306},{"id":"https://openalex.org/keywords/risk-classification","display_name":"risk classification","score":0.4959999918937683},{"id":"https://openalex.org/keywords/risk-clustering","display_name":"risk clustering","score":0.8149999976158142},{"id":"https://openalex.org/keywords/econometric-models","display_name":"econometric models","score":0.640999972820282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"machine learning","score":0.9110000133514404},{"id":"https://openalex.org/keywords/covid-19","display_name":"COVID-19 pandemic","score":0.8259999752044678},{"id":"https://openalex.org/keywords/2008-financial-crisis","display_name":"2008 financial crisis","score":0.7699999809265137}],"concepts":[{"id":"https://openalex.org/C2992337254","wikidata":"https://www.wikidata.org/wiki/Q31275820","display_name":"Financial stability","level":2,"score":0.720258355140686},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6112575531005859},{"id":"https://openalex.org/C2778300220","wikidata":"https://www.wikidata.org/wiki/Q114380","display_name":"Financial crisis","level":2,"score":0.5856925249099731},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5275863409042358},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.48522281646728516},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4668263792991638},{"id":"https://openalex.org/C540431452","wikidata":"https://www.wikidata.org/wiki/Q16319025","display_name":"FinTech","level":3,"score":0.42968782782554626},{"id":"https://openalex.org/C180075932","wikidata":"https://www.wikidata.org/wiki/Q5333342","display_name":"Econometric model","level":2,"score":0.418887734413147},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41384631395339966},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.41078466176986694},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.4043092131614685},{"id":"https://openalex.org/C139043278","wikidata":"https://www.wikidata.org/wiki/Q837171","display_name":"Financial services","level":2,"score":0.3763996958732605},{"id":"https://openalex.org/C73283319","wikidata":"https://www.wikidata.org/wiki/Q1416617","display_name":"Financial system","level":1,"score":0.3609779477119446},{"id":"https://openalex.org/C106159729","wikidata":"https://www.wikidata.org/wiki/Q2294553","display_name":"Financial economics","level":1,"score":0.3462010324001312},{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.3455485701560974},{"id":"https://openalex.org/C40700","wikidata":"https://www.wikidata.org/wiki/Q1411783","display_name":"Industrial organization","level":1,"score":0.32746708393096924},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3226975202560425},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.23220810294151306},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22242870926856995},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.18991634249687195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1808014214038849},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.15483590960502625},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14962756633758545},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.frl.2023.103966","doi":"https://doi.org/10.1016/j.frl.2023.103966","is_oa":false,"landing_page_url":"https://doi.org/10.1016/j.frl.2023.103966","pdf_url":null,"source":{"id":"https://openalex.org/S88577320","display_name":"Finance research letters","issn_l":"1544-6123","issn":["1544-6123","1544-6131"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","fnege-3","jufo-1","norway-1","poland-70","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Finance Research Letters","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:eee:finlet:v:55:y:2023:i:pb:s1544612323003380","doi":null,"is_oa":false,"landing_page_url":"http://www.sciencedirect.com/science/article/pii/S1544612323003380","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5378999710083008,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"},{"score":0.48510000109672546,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2157157156","https://openalex.org/W2612859638","https://openalex.org/W2794311872","https://openalex.org/W2906798480","https://openalex.org/W2915514387","https://openalex.org/W3036091494","https://openalex.org/W3091069864","https://openalex.org/W3153557772","https://openalex.org/W3185964676","https://openalex.org/W3199736113","https://openalex.org/W4229951524"],"related_works":["https://openalex.org/W4411435158","https://openalex.org/W4388535359","https://openalex.org/W4285149887","https://openalex.org/W3195284229","https://openalex.org/W4390892605","https://openalex.org/W4386781297","https://openalex.org/W4226228259","https://openalex.org/W7117580062","https://openalex.org/W4224315649","https://openalex.org/W7117379079"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":5}],"updated_date":"2026-09-27T08:07:27.782135","created_date":"2023-05-04T00:00:00"}
