{"id":"https://openalex.org/W2802489586","doi":"https://doi.org/10.1177/1555412018766786","title":"A Posteriori Segmentation of Personal Profiles of Online Video Games\u2019 Players","display_name":"A Posteriori Segmentation of Personal Profiles of Online Video Games\u2019 Players","publication_year":2018,"publication_date":"2018-04-18","ids":{"openalex":"https://openalex.org/W2802489586","doi":"https://doi.org/10.1177/1555412018766786","mag":"2802489586"},"language":"en","primary_location":{"id":"doi:10.1177/1555412018766786","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1555412018766786","pdf_url":null,"source":{"id":"https://openalex.org/S186921036","display_name":"Games and Culture","issn_l":"1555-4120","issn":["1555-4120","1555-4139"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Games and Culture","raw_type":"journal-article"},"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/A5085621242","display_name":"Patricio Ram\u00edrez-Correa","orcid":"https://orcid.org/0000-0001-7089-1505"},"institutions":[{"id":"https://openalex.org/I2802166871","display_name":"Universidad Cat\u00f3lica del Norte","ror":"https://ror.org/02akpm128","country_code":"CL","type":"education","lineage":["https://openalex.org/I2802166871"]}],"countries":["CL"],"is_corresponding":false,"raw_author_name":"Patricio E. Ram\u00edrez-Correa","raw_affiliation_strings":["School of Engineering, Universidad Cat\u00f3lica del Norte, Coquimbo, Chile"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Engineering, Universidad Cat\u00f3lica del Norte, Coquimbo, Chile","institution_ids":["https://openalex.org/I2802166871"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067598279","display_name":"Francisco Javier Rond\u00e1n Catalu\u00f1a","orcid":"https://orcid.org/0000-0003-0368-5335"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"F. Javier Rond\u00e1n-Catalu\u00f1a","raw_affiliation_strings":["Departamento de Administraci\u00f3n de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain"],"raw_orcid":"https://orcid.org/0000-0003-0368-5335","affiliations":[{"raw_affiliation_string":"Departamento de Administraci\u00f3n de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050016695","display_name":"Jorge Arenas-Gait\u00e1n","orcid":"https://orcid.org/0000-0003-4635-9425"},"institutions":[{"id":"https://openalex.org/I79238269","display_name":"Universidad de Sevilla","ror":"https://ror.org/03yxnpp24","country_code":"ES","type":"education","lineage":["https://openalex.org/I79238269"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Jorge Arenas-Gait\u00e1n","raw_affiliation_strings":["Departamento de Administraci\u00f3n de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Administraci\u00f3n de Empresas y Marketing, Universidad de Sevilla, Sevilla, Spain","institution_ids":["https://openalex.org/I79238269"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5067598279"],"corresponding_institution_ids":["https://openalex.org/I79238269"],"apc_list":null,"apc_paid":null,"fwci":6.6222,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.96262571,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"15","issue":"3","first_page":"227","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10609","display_name":"Digital Marketing and Social Media","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10355","display_name":"Impact of Technology on Adolescents","score":0.9854999780654907,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10068","display_name":"Technology Adoption and User Behaviour","score":0.9843999743461609,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/a-priori-and-a-posteriori","display_name":"A priori and a posteriori","score":0.7959754467010498},{"id":"https://openalex.org/keywords/segmentation","display_name":"Segmentation","score":0.7363119125366211},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.612150251865387},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5913808345794678},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5419188141822815},{"id":"https://openalex.org/keywords/structural-equation-modeling","display_name":"Structural equation modeling","score":0.5087595582008362},{"id":"https://openalex.org/keywords/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.4493086338043213},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4445035457611084},{"id":"https://openalex.org/keywords/market-segmentation","display_name":"Market segmentation","score":0.4106161892414093},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3453773260116577},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3294256329536438},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25802844762802124},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.11202746629714966}],"concepts":[{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.7959754467010498},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.7363119125366211},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.612150251865387},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5913808345794678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5419188141822815},{"id":"https://openalex.org/C71104824","wikidata":"https://www.wikidata.org/wiki/Q1476639","display_name":"Structural equation modeling","level":2,"score":0.5087595582008362},{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.4493086338043213},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4445035457611084},{"id":"https://openalex.org/C125308379","wikidata":"https://www.wikidata.org/wiki/Q363057","display_name":"Market segmentation","level":2,"score":0.4106161892414093},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3453773260116577},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3294256329536438},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25802844762802124},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.11202746629714966},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1177/1555412018766786","is_oa":false,"landing_page_url":"https://doi.org/10.1177/1555412018766786","pdf_url":null,"source":{"id":"https://openalex.org/S186921036","display_name":"Games and Culture","issn_l":"1555-4120","issn":["1555-4120","1555-4139"],"is_oa":false,"is_in_doaj":false,"is_core":true,"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":"Games and Culture","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W128549675","https://openalex.org/W167646491","https://openalex.org/W569978719","https://openalex.org/W1536060714","https://openalex.org/W1603545804","https://openalex.org/W1849401977","https://openalex.org/W1933867635","https://openalex.org/W1975008583","https://openalex.org/W1985419904","https://openalex.org/W1990503813","https://openalex.org/W1995408540","https://openalex.org/W1997102788","https://openalex.org/W2012346512","https://openalex.org/W2034144472","https://openalex.org/W2041025964","https://openalex.org/W2050976625","https://openalex.org/W2057130419","https://openalex.org/W2068280171","https://openalex.org/W2084582854","https://openalex.org/W2085907217","https://openalex.org/W2100379340","https://openalex.org/W2105846236","https://openalex.org/W2111964893","https://openalex.org/W2119681300","https://openalex.org/W2122700558","https://openalex.org/W2126096239","https://openalex.org/W2135693853","https://openalex.org/W2137195939","https://openalex.org/W2168055557","https://openalex.org/W2196781882","https://openalex.org/W2215997554","https://openalex.org/W2223470559","https://openalex.org/W2269975662","https://openalex.org/W2295121507","https://openalex.org/W2481769138","https://openalex.org/W2508156985","https://openalex.org/W2527006732","https://openalex.org/W2554069850","https://openalex.org/W2621342023","https://openalex.org/W3122446547","https://openalex.org/W3125976894","https://openalex.org/W4230637740","https://openalex.org/W4234404016"],"related_works":["https://openalex.org/W2786020177","https://openalex.org/W4388676248","https://openalex.org/W2933918024","https://openalex.org/W2755862626","https://openalex.org/W4211039102","https://openalex.org/W1970571431","https://openalex.org/W4205445214","https://openalex.org/W4246070000","https://openalex.org/W2599736092","https://openalex.org/W2521392081"],"abstract_inverted_index":{"There":[0],"are":[1,13,19,109,135],"diverse":[2],"segmentations":[3,21],"of":[4,11,26,32,38,47,56,60,74,122,128,139,149],"online":[5,48],"players":[6],"in":[7,120],"the":[8,24,29,33,66,71,80,91,112,123,125,136,140,147,150],"literature.":[9],"Most":[10],"them":[12],"proposed":[14],"a":[15,44],"priori,":[16],"and":[17,28,58,63,79,102,115,131],"there":[18],"no":[20],"based":[22],"on":[23,53],"acceptance":[25,57],"technology":[27,61],"personal":[30,72],"values":[31,73],"players.":[34],"The":[35,76],"foremost":[36],"purpose":[37],"this":[39],"study":[40],"is":[41,142],"to":[42,64,98,103],"obtain":[43],"posteriori":[45],"segmentation":[46,93],"video":[49],"games\u2019":[50],"players,":[51],"founded":[52],"unified":[54],"theory":[55],"use":[59,130],"model,":[62],"describe":[65],"subsequent":[67],"segments":[68,108],"consistent":[69],"with":[70,85],"Schwartz.":[75],"measurement":[77],"model":[78,82],"structural":[81],"were":[83],"analyzed":[84],"partial":[86],"least":[87],"squares":[88],"(PLS).":[89],"Subsequently,":[90],"PLS-prediction-oriented":[92],"technique":[94],"has":[95],"been":[96],"devoted":[97],"inspecting":[99],"unobserved":[100],"heterogeneity":[101],"find":[104],"players\u2019":[105],"segments.":[106],"Four":[107],"obtained":[110],"from":[111],"statistical":[113],"analysis,":[114],"data":[116],"analysis":[117],"shown":[118],"that":[119],"each":[121],"segments,":[124],"explained":[126],"variance":[127],"both":[129],"behavioral":[132],"intention":[133],"(which":[134],"endogenous":[137],"variables":[138],"model)":[141],"significantly":[143],"improved":[144],"by":[145],"comparing":[146],"results":[148],"global":[151],"sample.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":5}],"updated_date":"2026-05-24T08:33:08.758527","created_date":"2025-10-10T00:00:00"}
