{"id":"https://openalex.org/W2802869072","doi":"https://doi.org/10.5430/afr.v7n3p18","title":"Management of Fraud: Case of an Indian Insurance Company","display_name":"Management of Fraud: Case of an Indian Insurance Company","publication_year":2018,"publication_date":"2018-04-29","ids":{"openalex":"https://openalex.org/W2802869072","doi":"https://doi.org/10.5430/afr.v7n3p18","mag":"2802869072"},"language":"en","primary_location":{"id":"doi:10.5430/afr.v7n3p18","doi":"https://doi.org/10.5430/afr.v7n3p18","is_oa":true,"landing_page_url":"https://doi.org/10.5430/afr.v7n3p18","pdf_url":"http://www.sciedu.ca/journal/index.php/afr/article/download/13474/8333","source":{"id":"https://openalex.org/S2764678689","display_name":"Accounting and Finance Research","issn_l":"1927-5986","issn":["1927-5986","1927-5994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Accounting and Finance Research","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"http://www.sciedu.ca/journal/index.php/afr/article/download/13474/8333","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5034224991","display_name":"Sunita Mall","orcid":"https://orcid.org/0000-0003-1050-2138","observed_orcids":["https://orcid.org/0000-0003-1050-2138"]},"institutions":[{"id":"https://openalex.org/I4210147161","display_name":"Mudra Institute of Communications Ahmedabad","ror":"https://ror.org/03thb9733","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210147161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunita Mall","raw_affiliation_strings":["Assistant professor(Statistics), MICA, Ahmedabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant professor(Statistics), MICA, Ahmedabad, India","institution_ids":["https://openalex.org/I4210147161"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Prasun Ghosh","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4210147161","display_name":"Mudra Institute of Communications Ahmedabad","ror":"https://ror.org/03thb9733","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210147161"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasun Ghosh","raw_affiliation_strings":["Assistant professor(Statistics) , MICA , Ahmedabad , India","Business Analyst, Hansa Cequity, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Assistant professor(Statistics) , MICA , Ahmedabad , India","institution_ids":["https://openalex.org/I4210147161"]},{"raw_affiliation_string":"Business Analyst, Hansa Cequity, India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Parita Shah","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Parita Shah","raw_affiliation_strings":["Senior Manager Actuarial, TATA AIG General Insurance Company Ltd., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Manager Actuarial, TATA AIG General Insurance Company Ltd., India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"7","issue":"3","first_page":"18","last_page":"18"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.5160999894142151,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.2847000062465668,"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/T13720","display_name":"Benford\u2019s Law and Fraud Detection","score":0.06369999796152115,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/insurance-fraud","display_name":"insurance fraud","score":0.9710000157356262},{"id":"https://openalex.org/keywords/motor-insurance-claims","display_name":"motor insurance claims","score":0.8669999837875366},{"id":"https://openalex.org/keywords/fraud-detection","display_name":"fraud detection","score":0.7480000257492065},{"id":"https://openalex.org/keywords/chaid","display_name":"CHAID","score":0.6679999828338623},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7409999966621399},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.6660000085830688},{"id":"https://openalex.org/keywords/gross-written-premium","display_name":"gross written premium","score":0.7599999904632568},{"id":"https://openalex.org/keywords/sum-insured","display_name":"sum insured","score":0.7179999947547913},{"id":"https://openalex.org/keywords/vehicle-type","display_name":"vehicle type","score":0.4399999976158142},{"id":"https://openalex.org/keywords/state-similarity","display_name":"state similarity","score":0.4390000104904175}],"concepts":[{"id":"https://openalex.org/C162118730","wikidata":"https://www.wikidata.org/wiki/Q1128453","display_name":"Actuarial science","level":1,"score":0.6706392765045166},{"id":"https://openalex.org/C16023879","wikidata":"https://www.wikidata.org/wiki/Q1023599","display_name":"CHAID","level":3,"score":0.6244615316390991},{"id":"https://openalex.org/C2778976927","wikidata":"https://www.wikidata.org/wiki/Q838081","display_name":"Insurance fraud","level":2,"score":0.5198769569396973},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.48828983306884766},{"id":"https://openalex.org/C2778732403","wikidata":"https://www.wikidata.org/wiki/Q815577","display_name":"Ignorance","level":2,"score":0.4663516581058502},{"id":"https://openalex.org/C68799949","wikidata":"https://www.wikidata.org/wiki/Q977871","display_name":"Insurance policy","level":2,"score":0.4611521065235138},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.45818865299224854},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.3488156199455261},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3304663598537445},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.25573283433914185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24794206023216248},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13723665475845337},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.11581531167030334},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.1060279905796051},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5430/afr.v7n3p18","doi":"https://doi.org/10.5430/afr.v7n3p18","is_oa":true,"landing_page_url":"https://doi.org/10.5430/afr.v7n3p18","pdf_url":"http://www.sciedu.ca/journal/index.php/afr/article/download/13474/8333","source":{"id":"https://openalex.org/S2764678689","display_name":"Accounting and Finance Research","issn_l":"1927-5986","issn":["1927-5986","1927-5994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Accounting and Finance Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:jfr:afr111:v:7:y:2018:i:3:p:18","doi":null,"is_oa":false,"landing_page_url":"https://www.sciedupress.com/journal/index.php/afr/article/download/13474/8333","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":{"id":"doi:10.5430/afr.v7n3p18","doi":"https://doi.org/10.5430/afr.v7n3p18","is_oa":true,"landing_page_url":"https://doi.org/10.5430/afr.v7n3p18","pdf_url":"http://www.sciedu.ca/journal/index.php/afr/article/download/13474/8333","source":{"id":"https://openalex.org/S2764678689","display_name":"Accounting and Finance Research","issn_l":"1927-5986","issn":["1927-5986","1927-5994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core"],"host_organization":"https://openalex.org/P4310320842","host_organization_name":"Sciedu Press","host_organization_lineage":["https://openalex.org/P4310320842"],"host_organization_lineage_names":["Sciedu Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Accounting and Finance Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, justice, and strong institutions","score":0.4399999976158142}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2802869072.pdf","grobid_xml":"https://content.openalex.org/works/W2802869072.grobid-xml"},"referenced_works_count":7,"referenced_works":["https://openalex.org/W128898096","https://openalex.org/W1535689140","https://openalex.org/W1543904134","https://openalex.org/W1868863582","https://openalex.org/W2115239660","https://openalex.org/W2164044194","https://openalex.org/W2165284089"],"related_works":["https://openalex.org/W3170572014","https://openalex.org/W7220174972","https://openalex.org/W7113376487","https://openalex.org/W4313118922","https://openalex.org/W4389670584","https://openalex.org/W7098013498","https://openalex.org/W4401886518","https://openalex.org/W7139011269","https://openalex.org/W2187603259","https://openalex.org/W4378570465"],"abstract_inverted_index":{"Frauds":[0],"in":[1,26,90,131,236,251],"insurance":[2,15,28,34,234],"are":[3,143,188,206],"typically":[4],"where":[5],"a":[6,31,225],"fraudster":[7],"tries":[8],"to":[9,68,112,119,149,190,208],"gain":[10],"undue":[11],"benefit":[12],"from":[13,30],"the":[14,23,37,47,65,70,73,80,84,87,114,121,146,159,233,238,253],"contract":[16],"by":[17,50],"ignorance":[18],"or":[19,72],"wilful":[20],"manipulation.":[21],"Using":[22],"claims":[24,52,240],"data":[25],"motor":[27],"obtained":[29],"Mumbai":[32],"based":[33],"company":[35,235],"for":[36,161],"time":[38,243],"period":[39],"of":[40,64,76,83,98,123,127,154,174,196,214],"2010-2016,":[41],"this":[42],"study":[43,66,95,164],"focuses":[44],"on":[45,145],"studying":[46],"pattern":[48],"exhibited":[49],"those":[51],"which":[53],"have":[54],"been":[55],"rejected":[56],"and":[57,78,118,140,158,184,203,244,247],"accepted":[58],"as":[59],"well.":[60],"The":[61,198,217],"prime":[62],"objective":[63],"is":[67,224],"identify":[69,113],"important":[71,147],"significant":[74,115,156,192,210],"triggers":[75,89,117],"fraud":[77,116],"predicting":[79],"fraudulent":[81,254],"behaviour":[82],"customers":[85],"using":[86],"identified":[88],"an":[91],"existing":[92],"algorithm.":[93],"This":[94,229],"makes":[96],"use":[97],"statistical":[99],"techniques":[100,136],"like":[101,137,168,200],"logistic":[102],"regression":[103],"&":[104,125],"CHAID":[105],"(Chi":[106],"Square":[107],"Automatic":[108],"Interaction":[109],"Detection)":[110],"technique":[111],"determine":[120],"probability":[122],"rejection":[124],"acceptance":[126],"each":[128,162],"claim":[129],"coming":[130],"future":[132],"respectively.":[133],"Data":[134],"mining":[135],"decision":[138],"tree":[139],"confusion":[141],"matrix":[142],"used":[144],"parameters":[148],"find":[150],"all":[151],"possible":[152],"combinations":[153],"these":[155],"variables":[157,167,199],"bucket":[160],"combination.This":[163],"finds":[165],"that":[166,221],"Seats/Tonnage,":[169],"No":[170],"Claim":[171],"Bonus,":[172],"Type":[173],"Vehicle,":[175],"Gross":[176],"Written":[177],"Premium,":[178],"Sum":[179],"Insured,":[180],"Discounts,":[181],"State":[182],"Similarity":[183],"Previous":[185],"Insurance":[186],"details":[187],"found":[189,207],"be":[191,209],"at":[193,211],"1%":[194],"level":[195,213],"significance.":[197],"Branch":[201],"Code":[202],"Risk":[204],"Types":[205],"5%":[212],"signify":[215],"cance.":[216],"Gain":[218],"chart":[219],"depicts":[220],"our":[222],"model":[223],"fairly":[226],"good":[227],"model.":[228],"research":[230],"would":[231,248],"help":[232,250],"settling":[237],"legitimate":[239],"within":[241],"less":[242,245],"cost":[246],"also":[249],"identifying":[252],"claims.":[255]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2018-05-17T00:00:00"}
