{"id":"https://openalex.org/W2070861963","doi":"https://doi.org/10.1177/002224379603300309","title":"Modifying Cluster-Based Segments to Enhance Agreement with an Exogenous Response Variable","display_name":"Modifying Cluster-Based Segments to Enhance Agreement with an Exogenous Response Variable","publication_year":1996,"publication_date":"1996-08-01","ids":{"openalex":"https://openalex.org/W2070861963","doi":"https://doi.org/10.1177/002224379603300309","mag":"2070861963"},"language":"en","primary_location":{"id":"doi:10.1177/002224379603300309","doi":"https://doi.org/10.1177/002224379603300309","is_oa":false,"landing_page_url":"https://doi.org/10.1177/002224379603300309","pdf_url":null,"source":{"id":"https://openalex.org/S119950638","display_name":"Journal of Marketing Research","issn_l":"0022-2437","issn":["0022-2437","1547-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","fnege-1-star","ft50","jufo-3","norway-2","poland-200","russia-white-list-1","utd24","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Marketing Research","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":"https://openalex.org/A5071688733","display_name":"Abba \u039c. Krieger","orcid":"https://orcid.org/0000-0002-4296-1278","observed_orcids":["https://orcid.org/0000-0002-4296-1278"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Abba M. Krieger","raw_affiliation_strings":["Wharton School, University of Pennsylvania","Wharton School, University of Pennsylvania#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wharton School, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Wharton School, University of Pennsylvania#TAB#","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021588071","display_name":"Paul E. Green","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul E. Green","raw_affiliation_strings":["Wharton School, University of Pennsylvania","Wharton School, University of Pennsylvania#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wharton School, University of Pennsylvania","institution_ids":["https://openalex.org/I79576946"]},{"raw_affiliation_string":"Wharton School, University of Pennsylvania#TAB#","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":{"value":5400,"currency":"USD","value_usd":5400},"apc_paid":null,"fwci":7.2574,"has_fulltext":false,"cited_by_count":69,"citation_normalized_percentile":{"value":0.95722742,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"33","issue":"3","first_page":"351","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12384","display_name":"Customer churn and segmentation","score":0.6273999810218811,"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":0.6273999810218811,"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/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.22139999270439148,"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/T11901","display_name":"Bayesian Methods and Mixture Models","score":0.06679999828338623,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.8159999847412109},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"market segmentation","score":0.902999997138977},{"id":"https://openalex.org/keywords/partition-refinement","display_name":"partition refinement","score":0.41200000047683716},{"id":"https://openalex.org/keywords/clusterwise-regression","display_name":"clusterwise regression","score":0.9150000214576721},{"id":"https://openalex.org/keywords/customer-segmentation","display_name":"customer segmentation","score":0.35199999809265137}],"concepts":[{"id":"https://openalex.org/C5274069","wikidata":"https://www.wikidata.org/wiki/Q2285707","display_name":"Categorical variable","level":2,"score":0.7651084661483765},{"id":"https://openalex.org/C192481860","wikidata":"https://www.wikidata.org/wiki/Q14566736","display_name":"Psychographic","level":2,"score":0.6471127271652222},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6153028011322021},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.6003798842430115},{"id":"https://openalex.org/C49847556","wikidata":"https://www.wikidata.org/wiki/Q3964631","display_name":"Explained sum of squares","level":2,"score":0.5909876227378845},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.5447486639022827},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.5411791801452637},{"id":"https://openalex.org/C99656134","wikidata":"https://www.wikidata.org/wiki/Q2912993","display_name":"Ordinary least squares","level":2,"score":0.5369171500205994},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.4873264729976654},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.4509623646736145},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.43534794449806213},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4278075397014618},{"id":"https://openalex.org/C2983394010","wikidata":"https://www.wikidata.org/wiki/Q19885330","display_name":"Continuous variable","level":2,"score":0.4248034358024597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4169580042362213},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.41218769550323486},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2679327726364136},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.23871201276779175},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.18135365843772888},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1127922534942627},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1177/002224379603300309","doi":"https://doi.org/10.1177/002224379603300309","is_oa":false,"landing_page_url":"https://doi.org/10.1177/002224379603300309","pdf_url":null,"source":{"id":"https://openalex.org/S119950638","display_name":"Journal of Marketing Research","issn_l":"0022-2437","issn":["0022-2437","1547-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","fnege-1-star","ft50","jufo-3","norway-2","poland-200","russia-white-list-1","utd24","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Marketing Research","raw_type":"journal-article"},{"id":"doi:10.2307/3152131","doi":"https://doi.org/10.2307/3152131","is_oa":false,"landing_page_url":"https://doi.org/10.2307/3152131","pdf_url":null,"source":{"id":"https://openalex.org/S119950638","display_name":"Journal of Marketing Research","issn_l":"0022-2437","issn":["0022-2437","1547-7193"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a-star","anvur-class-a","anvur-scientific","cwts-core","fnege-1-star","ft50","jufo-3","norway-2","poland-200","russia-white-list-1","utd24","vabb-shw"],"host_organization":"https://openalex.org/P4310320017","host_organization_name":"SAGE Publishing","host_organization_lineage":["https://openalex.org/P4310320017"],"host_organization_lineage_names":["SAGE Publishing"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Marketing Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W168241150","https://openalex.org/W333764539","https://openalex.org/W1534608649","https://openalex.org/W1919005300","https://openalex.org/W1965533618","https://openalex.org/W1967425904","https://openalex.org/W1988560890","https://openalex.org/W2015392889","https://openalex.org/W2016548223","https://openalex.org/W2019800008","https://openalex.org/W2022237013","https://openalex.org/W2023689787","https://openalex.org/W2048085529","https://openalex.org/W2057527452","https://openalex.org/W2063988370","https://openalex.org/W2065288020","https://openalex.org/W2065537939","https://openalex.org/W2076750860","https://openalex.org/W2076873969","https://openalex.org/W2085476993","https://openalex.org/W2085699531","https://openalex.org/W2096140984","https://openalex.org/W2101909046","https://openalex.org/W2312680915","https://openalex.org/W2326744394","https://openalex.org/W2330820318","https://openalex.org/W2484809223","https://openalex.org/W2511101307","https://openalex.org/W2901874234","https://openalex.org/W3122433681","https://openalex.org/W3123795997","https://openalex.org/W3125132463"],"related_works":["https://openalex.org/W836318038","https://openalex.org/W22354473","https://openalex.org/W2379542895","https://openalex.org/W1503335452","https://openalex.org/W7139113087","https://openalex.org/W45368758","https://openalex.org/W1986788050","https://openalex.org/W2055323881","https://openalex.org/W1977293771","https://openalex.org/W3125132463"],"abstract_inverted_index":{"K-means":[0,60],"clustering":[1],"programs":[2],"are":[3],"frequently":[4],"used":[5],"to":[6,62,77,97],"group":[7],"buyers":[8],"into":[9],"market":[10],"segments.":[11],"Segment":[12],"members":[13],"exhibit":[14],"similar":[15],"background":[16],"profiles,":[17],"based":[18],"on":[19,38,82],"such":[20],"characteristics":[21],"as":[22],"psychographics,":[23],"benefits":[24],"seeking,":[25],"conjoint-based":[26],"partworths,":[27],"and":[28,51],"so":[29],"on.":[30],"In":[31],"addition,":[32],"researchers":[33],"also":[34],"may":[35],"use":[36],"data":[37],"one":[39],"or":[40,71],"more":[41],"exogenous":[42,67],"variables":[43],"for":[44,55],"the":[45,58,83,88,111],"same":[46],"respondents.":[47],"The":[48,73,102],"authors":[49,103],"describe":[50],"apply":[52],"an":[53,66],"algorithm":[54],"systematically":[56],"modifying":[57],"original":[59],"segmentation":[61],"enhance":[63],"prediction":[64],"of":[65,92,95,100],"variable":[68],"(either":[69],"continuous":[70],"categorical).":[72],"modification":[74],"is":[75],"designed":[76],"respect":[78],"a":[79],"user-specified":[80],"constraint":[81],"permissible":[84],"percentage":[85],"decrease":[86],"in":[87],"initial":[89],"partition's":[90],"ratio":[91],"among-groups":[93],"sums":[94,99],"squares":[96],"total-groups":[98],"squares.":[101],"compare":[104],"this":[105],"approach":[106],"with":[107],"models":[108],"drawn":[109],"from":[110],"highly":[112],"popular":[113],"clusterwise":[114],"regression":[115],"literature.":[116]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":2}],"updated_date":"2026-10-14T16:39:01.820549","created_date":"2016-06-24T00:00:00"}