{"id":"https://openalex.org/W2035925705","doi":"https://doi.org/10.1080/08839514.2013.813195","title":"MINING CUSTOMER KNOWLEDGE FOR CHANNEL AND PRODUCT SEGMENTATION","display_name":"MINING CUSTOMER KNOWLEDGE FOR CHANNEL AND PRODUCT SEGMENTATION","publication_year":2013,"publication_date":"2013-08-09","ids":{"openalex":"https://openalex.org/W2035925705","doi":"https://doi.org/10.1080/08839514.2013.813195","mag":"2035925705"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2013.813195","doi":"https://doi.org/10.1080/08839514.2013.813195","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2013.813195","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2013.813195?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","norway-1","oarl","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2013.813195?download=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5088277502","display_name":"Shu-Hsien Liao","orcid":"https://orcid.org/0000-0002-3667-2867","observed_orcids":["https://orcid.org/0000-0002-3667-2867"]},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Shu-Hsien Liao","raw_affiliation_strings":["Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102832184","display_name":"Yin-Ju Chen","orcid":"https://orcid.org/0000-0003-2354-5911","observed_orcids":["https://orcid.org/0000-0003-2354-5911"]},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yin-Ju Chen","raw_affiliation_strings":["Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China","institution_ids":["https://openalex.org/I107470533"]}]},{"author_position":"last","author":{"id":null,"display_name":"Hsiao-Wei Yang","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I107470533","display_name":"Tamkang University","ror":"https://ror.org/04tft4718","country_code":"TW","type":"education","lineage":["https://openalex.org/I107470533"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hsiao-Wei Yang","raw_affiliation_strings":["Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Management Sciences, Tamkang University, New Taipei City, Taiwan, Republic of China","institution_ids":["https://openalex.org/I107470533"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5088277502"],"corresponding_institution_ids":["https://openalex.org/I107470533"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.4678,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.88185228,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":95},"biblio":{"volume":"27","issue":"7","first_page":"635","last_page":"655"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.9726999998092651,"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":0.9726999998092651,"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":0.010700000450015068,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.008500000461935997,"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/market-segmentation","display_name":"market segmentation","score":0.9559999704360962},{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.9190000295639038},{"id":"https://openalex.org/keywords/channel-segmentation","display_name":"channel segmentation","score":0.9190000295639038},{"id":"https://openalex.org/keywords/product-segmentation","display_name":"product segmentation","score":0.953000009059906},{"id":"https://openalex.org/keywords/3c-products","display_name":"3C products","score":0.890999972820282},{"id":"https://openalex.org/keywords/customer-purchase-behavior","display_name":"customer purchase behavior","score":0.675000011920929},{"id":"https://openalex.org/keywords/purchase-preference","display_name":"purchase preference","score":0.7760000228881836},{"id":"https://openalex.org/keywords/clustering","display_name":"clustering","score":0.6420000195503235},{"id":"https://openalex.org/keywords/association-rule-mining","display_name":"association rule mining","score":0.9649999737739563},{"id":"https://openalex.org/keywords/marketing-strategy","display_name":"marketing strategy","score":0.3619999885559082}],"concepts":[{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.8175786137580872},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7590367197990417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526384592056274},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.6017162799835205},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5912492275238037},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.5884110927581787},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5199945569038391},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.4418950378894806},{"id":"https://openalex.org/C57660159","wikidata":"https://www.wikidata.org/wiki/Q5196460","display_name":"Customer intelligence","level":5,"score":0.413273423910141},{"id":"https://openalex.org/C58546491","wikidata":"https://www.wikidata.org/wiki/Q1150207","display_name":"Competitive advantage","level":2,"score":0.411817342042923},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3515297472476959},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33840352296829224},{"id":"https://openalex.org/C101276457","wikidata":"https://www.wikidata.org/wiki/Q5196474","display_name":"Customer retention","level":4,"score":0.33804404735565186},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.256680428981781},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.11862722039222717},{"id":"https://openalex.org/C140781008","wikidata":"https://www.wikidata.org/wiki/Q1221081","display_name":"Service quality","level":3,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2013.813195","doi":"https://doi.org/10.1080/08839514.2013.813195","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2013.813195","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2013.813195?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","norway-1","oarl","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:tkuir.lib.tku.edu.tw:987654321/99931","doi":null,"is_oa":false,"landing_page_url":"https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/99931","pdf_url":null,"source":{"id":"https://openalex.org/S4406922698","display_name":"Tamkang University Institutional Repository (TKUIR)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":null}],"best_oa_location":{"id":"doi:10.1080/08839514.2013.813195","doi":"https://doi.org/10.1080/08839514.2013.813195","is_oa":true,"landing_page_url":"https://doi.org/10.1080/08839514.2013.813195","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/08839514.2013.813195?download=true","source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-c","jufo-1","ki-jl-1","norway-1","oarl","poland-40","russia-white-list-2"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1923519799","display_name":null,"funder_award_id":"NSC 100","funder_id":"https://openalex.org/F4320321040","funder_display_name":"National Science Council"}],"funders":[{"id":"https://openalex.org/F4320321040","display_name":"National Science Council","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2035925705.pdf","grobid_xml":"https://content.openalex.org/works/W2035925705.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W397370801","https://openalex.org/W1567930024","https://openalex.org/W1976257545","https://openalex.org/W1978824239","https://openalex.org/W1978857057","https://openalex.org/W1984545699","https://openalex.org/W1989958013","https://openalex.org/W2011327086","https://openalex.org/W2013823531","https://openalex.org/W2018075584","https://openalex.org/W2021238712","https://openalex.org/W2024840580","https://openalex.org/W2028817832","https://openalex.org/W2028991330","https://openalex.org/W2032583615","https://openalex.org/W2039991956","https://openalex.org/W2045879156","https://openalex.org/W2047541804","https://openalex.org/W2049597079","https://openalex.org/W2060317890","https://openalex.org/W2061527334","https://openalex.org/W2069186607","https://openalex.org/W2069670438","https://openalex.org/W2086915405","https://openalex.org/W2091763229","https://openalex.org/W2093456341","https://openalex.org/W2098910351","https://openalex.org/W2103494977","https://openalex.org/W2111487115","https://openalex.org/W2114966691","https://openalex.org/W2141040832","https://openalex.org/W2148061495","https://openalex.org/W2164339440","https://openalex.org/W2164667192","https://openalex.org/W2165467455","https://openalex.org/W2166559705","https://openalex.org/W2185907055","https://openalex.org/W2197723125","https://openalex.org/W2296114309","https://openalex.org/W2301363727","https://openalex.org/W2333406827"],"related_works":["https://openalex.org/W2017265181","https://openalex.org/W1925687525","https://openalex.org/W2092419045","https://openalex.org/W4415623837","https://openalex.org/W2061838715","https://openalex.org/W1968919970","https://openalex.org/W2143250324","https://openalex.org/W4408174293","https://openalex.org/W2106057310","https://openalex.org/W2116600880"],"abstract_inverted_index":{"Segmentation":[0],"is":[1,23,49],"particularly":[2],"challenging":[3],"in":[4,37,107,130],"current":[5],"markets.":[6],"Hence,":[7],"companies":[8],"operating":[9],"on":[10],"consumer":[11],"markets":[12],"face":[13],"significant":[14],"implementation":[15,19],"complexities.":[16],"However,":[17],"successful":[18],"of":[20,46,54,93,98],"market":[21,47],"segmentation":[22,136],"reported":[24],"problematic,":[25],"despite":[26],"being":[27],"extensively":[28],"researched":[29],"and":[30,42,66,77,84,95,102,126],"widely":[31],"acknowledged":[32],"as":[33,63],"a":[34,68],"powerful":[35],"concept":[36],"practice.":[38],"The":[39],"desired":[40],"outcome,":[41],"the":[43,52,74],"knowledge":[44],"discovery":[45],"segmentation,":[48],"to":[50,73,80,109,132],"reap":[51],"benefits":[53],"competitive":[55],"advantage.":[56],"This":[57],"study":[58,115],"takes":[59],"Computers/Communications/Consumer":[60],"(3C)":[61],"products":[62,94],"an":[64],"example":[65],"uses":[67],"two-step":[69],"data":[70],"mining":[71],"approach":[72],"cluster":[75],"analysis":[76],"association":[78],"rules":[79],"analyze":[81],"customer":[82,123,127],"channels":[83],"product":[85],"segmentation.":[86],"Moreover,":[87],"we":[88],"look":[89],"at":[90],"what":[91],"kinds":[92],"brands":[96],"customers":[97],"different":[99,134],"segments":[100],"prefer":[101],"how":[103],"these":[104],"preferences":[105,125],"differ":[106],"relation":[108],"varying":[110],"channel":[111],"types.":[112],"Thus,":[113],"this":[114],"finds":[116],"some":[117],"3C":[118,135],"product-buying":[119],"behavior":[120],"patterns,":[121],"including":[122],"purchase":[124,128],"demands,":[129],"order":[131],"generate":[133],"marketing":[137],"alternatives.":[138]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2016-06-24T00:00:00"}