{"id":"https://openalex.org/W3209590921","doi":"https://doi.org/10.1186/s40537-021-00529-4","title":"Exploration of the investment patterns of potential retail banking customers using two-stage cluster analysis","display_name":"Exploration of the investment patterns of potential retail banking customers using two-stage cluster analysis","publication_year":2021,"publication_date":"2021-11-02","ids":{"openalex":"https://openalex.org/W3209590921","doi":"https://doi.org/10.1186/s40537-021-00529-4","mag":"3209590921"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-021-00529-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00529-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00529-4","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"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00529-4","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022395548","display_name":"Tibor Kov\u00e1cs","orcid":"https://orcid.org/0000-0002-7408-998X"},"institutions":[{"id":"https://openalex.org/I163245316","display_name":"Corvinus University of Budapest","ror":"https://ror.org/01vxfm326","country_code":"HU","type":"education","lineage":["https://openalex.org/I163245316"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tibor Kov\u00e1cs","raw_affiliation_strings":["Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary","institution_ids":["https://openalex.org/I163245316"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012791570","display_name":"Andrea K\u0151","orcid":"https://orcid.org/0000-0003-0023-1143"},"institutions":[{"id":"https://openalex.org/I163245316","display_name":"Corvinus University of Budapest","ror":"https://ror.org/01vxfm326","country_code":"HU","type":"education","lineage":["https://openalex.org/I163245316"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Andrea Ko","raw_affiliation_strings":["Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary","institution_ids":["https://openalex.org/I163245316"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053675358","display_name":"Asefeh Asemi","orcid":"https://orcid.org/0000-0003-1667-4408"},"institutions":[{"id":"https://openalex.org/I163245316","display_name":"Corvinus University of Budapest","ror":"https://ror.org/01vxfm326","country_code":"HU","type":"education","lineage":["https://openalex.org/I163245316"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Asefeh Asemi","raw_affiliation_strings":["The Doctoral School of Economics, Business, and Informatics, Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary"],"raw_orcid":"https://orcid.org/0000-0003-1667-4408","affiliations":[{"raw_affiliation_string":"The Doctoral School of Economics, Business, and Informatics, Corvinus University of Budapest, F\u0151v\u00e1m t\u00e9r 8, 1093, Budapest, Hungary","institution_ids":["https://openalex.org/I163245316"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5053675358"],"corresponding_institution_ids":["https://openalex.org/I163245316"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":2.9076,"has_fulltext":true,"cited_by_count":28,"citation_normalized_percentile":{"value":0.91080554,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"8","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T12384","display_name":"Customer churn and segmentation","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/T10154","display_name":"Customer Service Quality and Loyalty","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource Management"},"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.992900013923645,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"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/self-organizing-map","display_name":"Self-organizing map","score":0.8422588109970093},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7783718705177307},{"id":"https://openalex.org/keywords/investment","display_name":"Investment (military)","score":0.6169639825820923},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.6090258359909058},{"id":"https://openalex.org/keywords/categorical-variable","display_name":"Categorical variable","score":0.5627817511558533},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.503511369228363},{"id":"https://openalex.org/keywords/investment-strategy","display_name":"Investment strategy","score":0.4895845353603363},{"id":"https://openalex.org/keywords/portfolio","display_name":"Portfolio","score":0.4531540870666504},{"id":"https://openalex.org/keywords/descriptive-statistics","display_name":"Descriptive statistics","score":0.43900057673454285},{"id":"https://openalex.org/keywords/hierarchical-clustering","display_name":"Hierarchical clustering","score":0.42870888113975525},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3496873378753662},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.3178475499153137},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.26482969522476196},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.23233038187026978},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1304706335067749}],"concepts":[{"id":"https://openalex.org/C111168008","wikidata":"https://www.wikidata.org/wiki/Q1136838","display_name":"Self-organizing map","level":3,"score":0.8422588109970093},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7783718705177307},{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.6169639825820923},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6090258359909058},{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.5627817511558533},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.503511369228363},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.4895845353603363},{"id":"https://openalex.org/C2780821815","wikidata":"https://www.wikidata.org/wiki/Q5340806","display_name":"Portfolio","level":2,"score":0.4531540870666504},{"id":"https://openalex.org/C39896193","wikidata":"https://www.wikidata.org/wiki/Q380344","display_name":"Descriptive statistics","level":2,"score":0.43900057673454285},{"id":"https://openalex.org/C92835128","wikidata":"https://www.wikidata.org/wiki/Q1277447","display_name":"Hierarchical clustering","level":3,"score":0.42870888113975525},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3496873378753662},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.3178475499153137},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.26482969522476196},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.23233038187026978},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1304706335067749},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C183582576","wikidata":"https://www.wikidata.org/wiki/Q184783","display_name":"Market liquidity","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1186/s40537-021-00529-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00529-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00529-4","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":"pmh:oai:unipub.lib.uni-corvinus.hu:7009","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400280","display_name":"Corvinus Research Archive (Corvinus University of Budapest)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I163245316","host_organization_name":"Corvinus University of Budapest","host_organization_lineage":["https://openalex.org/I163245316"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"pmh:oai:doaj.org/article:8eb190bd7d7d45f2ba29709db785ab53","is_oa":true,"landing_page_url":"https://doaj.org/article/8eb190bd7d7d45f2ba29709db785ab53","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 8, Iss 1, Pp 1-25 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-021-00529-4","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-021-00529-4","pdf_url":"https://journalofbigdata.springeropen.com/track/pdf/10.1186/s40537-021-00529-4","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":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3209590921.pdf","grobid_xml":"https://content.openalex.org/works/W3209590921.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W65738273","https://openalex.org/W584144659","https://openalex.org/W1540089290","https://openalex.org/W1560498978","https://openalex.org/W1885937115","https://openalex.org/W1974808478","https://openalex.org/W1980073965","https://openalex.org/W1987971958","https://openalex.org/W1990517717","https://openalex.org/W2006153161","https://openalex.org/W2012187004","https://openalex.org/W2014715685","https://openalex.org/W2015041537","https://openalex.org/W2015056121","https://openalex.org/W2017516881","https://openalex.org/W2018794900","https://openalex.org/W2046079134","https://openalex.org/W2055491741","https://openalex.org/W2057712948","https://openalex.org/W2064686951","https://openalex.org/W2067594023","https://openalex.org/W2071949631","https://openalex.org/W2072688852","https://openalex.org/W2081979863","https://openalex.org/W2085242135","https://openalex.org/W2092889035","https://openalex.org/W2099358840","https://openalex.org/W2120065335","https://openalex.org/W2122780181","https://openalex.org/W2130041581","https://openalex.org/W2146780597","https://openalex.org/W2159984583","https://openalex.org/W2171577765","https://openalex.org/W2193624092","https://openalex.org/W2342204193","https://openalex.org/W2487887445","https://openalex.org/W2492741959","https://openalex.org/W2505967964","https://openalex.org/W2583345743","https://openalex.org/W2598309352","https://openalex.org/W2762027534","https://openalex.org/W2768466794","https://openalex.org/W2889248287","https://openalex.org/W2893562868","https://openalex.org/W2901072521","https://openalex.org/W2902696453","https://openalex.org/W2968957720","https://openalex.org/W2970133828","https://openalex.org/W2980499159","https://openalex.org/W2991455024","https://openalex.org/W2996501032","https://openalex.org/W2997738945","https://openalex.org/W3004141889","https://openalex.org/W3047344035","https://openalex.org/W3082515978","https://openalex.org/W3088048367","https://openalex.org/W3089689796","https://openalex.org/W3100936220","https://openalex.org/W3124262714","https://openalex.org/W3128809680","https://openalex.org/W3186948814","https://openalex.org/W4241304527","https://openalex.org/W4399538195","https://openalex.org/W7051526301"],"related_works":["https://openalex.org/W2034551444","https://openalex.org/W2023416609","https://openalex.org/W1844640764","https://openalex.org/W2051216975","https://openalex.org/W2982550593","https://openalex.org/W2773208253","https://openalex.org/W2560646951","https://openalex.org/W2090505479","https://openalex.org/W3166874963","https://openalex.org/W1485794011"],"abstract_inverted_index":{"Abstract":[0],"Identifying":[1],"investment":[2,97,133,145,205,210,213,225,271],"patterns":[3,98,206,243],"as":[4],"part":[5],"of":[6,11,26,41,67,71,79,99,107,184,194,237,244,252,259],"customer":[7,178],"segmentation":[8],"is":[9,22,57,62,74,110,255],"one":[10],"the":[12,60,77,96,111,121,137,143,164,182,235,253,256,260,275],"most":[13],"important":[14,24],"tasks":[15],"in":[16,171,274],"retail":[17,101,276],"banking.":[18],"Clustering":[19],"customers":[20,42,196],"effectively":[21],"an":[23,131],"element":[25],"improving":[27],"marketing":[28],"policy":[29],"and":[30,43,59,117,147,157,166,180,200,212,222,247,268],"strategic":[31],"planning.":[32],"There":[33],"are":[34,140],"several":[35],"methods":[36,56,263],"for":[37,64,94,130,224,270],"identifying":[38,95],"similar":[39,198],"groups":[40,179],"describing":[44,242],"their":[45,148,204,209,216],"characteristics":[46,183],"to":[47,75,113,142,162,176,191,208,220],"offer":[48],"them":[49],"appropriate":[50],"products.":[51],"However,":[52],"using":[53,80,85],"machine":[54,261],"learning":[55,262],"rare,":[58],"application":[61,236,258],"limited":[63],"certain":[65],"types":[66],"data.":[68],"The":[69,104,152,187,249],"aim":[70],"this":[72,108],"study":[73],"investigate":[76],"benefits":[78],"a":[81],"two-stage":[82],"clustering":[83,93],"method":[84,109],"neural-network-based":[86],"Kohonen":[87,167,264],"self-organizing":[88,168],"maps":[89,169],"followed":[90],"by":[91,231],"hierarchical":[92,174,266],"potential":[100,195],"banking":[102,277],"customers.":[103],"unique":[105],"benefit":[106],"ability":[112],"use":[114],"both":[115],"categorical":[116],"numerical":[118],"variables":[119,165],"at":[120],"same":[122],"time.":[123],"This":[124],"research":[125,153,254],"examined":[126],"1,542":[127],"responses":[128],"received":[129],"online":[132],"survey,":[134],"focusing":[135],"on":[136],"questions":[138],"that":[139],"related":[141,207],"respondents\u2019":[144],"preferences":[146,199,223],"current":[149],"financial":[150,245],"assets.":[151],"utilizes":[154],"descriptive":[155],"statistics":[156],"multiple":[158,238],"correspondence":[159,239],"analysis":[160,188,240,273],"(MCA)":[161,241],"understand":[163],"(SOMs),":[170],"combination":[172],"with":[173,197],"clustering,":[175,267],"identify":[177,192],"describe":[181],"these":[185],"clusters.":[186],"was":[189],"able":[190],"clusters":[193],"gained":[201],"insights":[202,233],"into":[203],"portfolio":[211],"behavior,":[214],"including":[215],"savings":[217],"profile,":[218],"attitude":[219],"risk-taking,":[221],"advice.":[226],"These":[227],"findings":[228],"were":[229],"supported":[230],"additional":[232],"through":[234],"instruments":[246],"portfolios.":[248],"main":[250],"contribution":[251],"combined":[257],"SOM,":[265],"MCA":[269],"pattern":[272],"business.":[278]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
