{"id":"https://openalex.org/W4408174293","doi":"https://doi.org/10.1186/s40537-025-01111-y","title":"Discovering customer segments through interaction behaviors for home appliance business","display_name":"Discovering customer segments through interaction behaviors for home appliance business","publication_year":2025,"publication_date":"2025-03-07","ids":{"openalex":"https://openalex.org/W4408174293","doi":"https://doi.org/10.1186/s40537-025-01111-y"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-025-01111-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01111-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01111-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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/counter/pdf/10.1186/s40537-025-01111-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048892085","display_name":"Youngjung Suh","orcid":"https://orcid.org/0009-0001-3762-9609"},"institutions":[{"id":"https://openalex.org/I206597221","display_name":"Kongju National University","ror":"https://ror.org/0373nm262","country_code":"KR","type":"education","lineage":["https://openalex.org/I206597221"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Youngjung Suh","raw_affiliation_strings":["Department of Computer Science and Engineering, Kongju National University, Cheonan-Si, Chungnam, 31080, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Kongju National University, Cheonan-Si, Chungnam, 31080, Republic of Korea","institution_ids":["https://openalex.org/I206597221"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5048892085"],"corresponding_institution_ids":["https://openalex.org/I206597221"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":17.825,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.98858031,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"12","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.988099992275238,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.988099992275238,"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/T12384","display_name":"Customer churn and segmentation","score":0.9864000082015991,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.98089998960495,"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/computer-science","display_name":"Computer science","score":0.7179268598556519},{"id":"https://openalex.org/keywords/computational-science-and-engineering","display_name":"Computational Science and Engineering","score":0.5882859230041504},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.3381503224372864},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.16591444611549377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7179268598556519},{"id":"https://openalex.org/C68597687","wikidata":"https://www.wikidata.org/wiki/Q362601","display_name":"Computational Science and Engineering","level":2,"score":0.5882859230041504},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3381503224372864},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.16591444611549377}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-025-01111-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01111-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01111-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:91c0c6db5a9147bc8a8bad8d242845c8","is_oa":true,"landing_page_url":"https://doaj.org/article/91c0c6db5a9147bc8a8bad8d242845c8","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 12, Iss 1, Pp 1-39 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-025-01111-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s40537-025-01111-y","pdf_url":"https://journalofbigdata.springeropen.com/counter/pdf/10.1186/s40537-025-01111-y","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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","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":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4408174293.pdf"},"referenced_works_count":54,"referenced_works":["https://openalex.org/W1501500081","https://openalex.org/W1964346230","https://openalex.org/W1980849679","https://openalex.org/W1987971958","https://openalex.org/W2006255103","https://openalex.org/W2009349621","https://openalex.org/W2011799606","https://openalex.org/W2015557855","https://openalex.org/W2018977290","https://openalex.org/W2067225096","https://openalex.org/W2085487226","https://openalex.org/W2129066856","https://openalex.org/W2134262590","https://openalex.org/W2278489136","https://openalex.org/W2519730697","https://openalex.org/W2604628886","https://openalex.org/W2787528688","https://openalex.org/W2891359292","https://openalex.org/W2891398129","https://openalex.org/W2912943867","https://openalex.org/W2915015079","https://openalex.org/W2979993752","https://openalex.org/W2981225120","https://openalex.org/W3078477381","https://openalex.org/W3141714916","https://openalex.org/W3155511510","https://openalex.org/W3160239690","https://openalex.org/W4200019365","https://openalex.org/W4220712571","https://openalex.org/W4224981504","https://openalex.org/W4231410305","https://openalex.org/W4237167522","https://openalex.org/W4237576090","https://openalex.org/W4241137316","https://openalex.org/W4245436919","https://openalex.org/W4281950016","https://openalex.org/W4285331855","https://openalex.org/W4291667741","https://openalex.org/W4294865396","https://openalex.org/W4316094546","https://openalex.org/W4318338234","https://openalex.org/W4321767631","https://openalex.org/W4322731093","https://openalex.org/W4360897561","https://openalex.org/W4376607192","https://openalex.org/W4379932971","https://openalex.org/W4380085684","https://openalex.org/W4386352949","https://openalex.org/W4389945846","https://openalex.org/W4391684716","https://openalex.org/W4396690792","https://openalex.org/W4402968831","https://openalex.org/W4404419957","https://openalex.org/W7043545472"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Market":[0],"segmentation":[1,49],"has":[2],"become":[3],"a":[4,9,23],"crucial":[5],"step":[6],"in":[7,112],"developing":[8],"successful":[10],"marketing":[11],"strategy,":[12],"as":[13,62,64,204,206],"it":[14],"allows":[15],"businesses":[16],"to":[17,58,177],"understand":[18],"their":[19,185],"target":[20],"audience":[21],"on":[22,52,79,105,129,189],"deeper":[24],"level":[25],"and":[26,55,84,99,140,171,187,193],"create":[27],"personalized":[28],"experiences":[29],"for":[30],"different":[31],"customer":[32,35,42,53,146,161,218],"groups.":[33],"For":[34],"cluster":[36,133],"analysis,":[37],"this":[38,70],"study":[39,128],"expanded":[40],"the":[41,106,113,118,130,138,144,149,154,159,165,174,190,199],"base":[43],"of":[44,108,132,143,158,168,173],"existing":[45],"research":[46],"from":[47,148],"market":[48],"studies":[50],"based":[51,78,104],"demographics":[54],"purchasing":[56],"behavior":[57],"include":[59],"pre-purchase":[60],"perception/exploration":[61],"well":[63,205],"post-purchase":[65],"actual":[66,110],"usage":[67],"data.":[68],"To":[69],"end,":[71],"all":[72],"interactions":[73],"with":[74],"customers":[75,111,200],"were":[76,89],"designed":[77,119],"CEJ":[80],"(Customer":[81],"Experience":[82],"Journey),":[83],"then":[85],"interaction":[86],"characteristic":[87,122,156],"variables":[88],"created.":[90],"Here,":[91],"we":[92,163],"applied":[93],"two":[94,150],"data":[95,107,157],"mining":[96],"algorithms,":[97],"clustering":[98],"NMF":[100],"(Non-negative":[101],"Matrix":[102],"Factorization),":[103],"40,911":[109],"home":[114],"appliance":[115],"business":[116,209],"using":[117],"multidimensional":[120],"behavioral":[121],"variables.":[123],"We":[124],"conducted":[125],"an":[126],"evaluation":[127],"validity":[131],"analysis":[134,179],"by":[135,197,211],"evaluating":[136],"both":[137],"accuracy":[139],"stability":[141],"(consistency)":[142],"resulting":[145,160,175],"segments":[147,176],"methods.":[151],"Through":[152],"analyzing":[153],"key":[155],"segments,":[162,203],"investigated":[164],"technical":[166],"advantages":[167],"each":[169],"method":[170],"overlap/deviation":[172],"provide":[178],"results.":[180],"Thus,":[181],"companies":[182],"can":[183],"focus":[184],"resources":[186],"efforts":[188],"most":[191],"profitable":[192],"receptive":[194],"consumer":[195],"groups":[196],"identifying":[198],"into":[201],"distinct":[202],"discover":[207],"new":[208],"opportunities":[210],"figuring":[212],"out":[213],"less":[214],"common":[215],"but":[216],"peculiar":[217],"behaviors.":[219]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7}],"updated_date":"2026-03-16T09:10:04.655348","created_date":"2025-10-10T00:00:00"}