{"id":"https://openalex.org/W2167485657","doi":"https://doi.org/10.1080/03610910903289185","title":"A New Survival Model for the Diffusion Pattern of TV Programs","display_name":"A New Survival Model for the Diffusion Pattern of TV Programs","publication_year":2009,"publication_date":"2009-11-10","ids":{"openalex":"https://openalex.org/W2167485657","doi":"https://doi.org/10.1080/03610910903289185","mag":"2167485657"},"language":"en","primary_location":{"id":"doi:10.1080/03610910903289185","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903289185","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","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/A5101601788","display_name":"Xiaoling Lu","orcid":"https://orcid.org/0000-0001-5664-4401"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoling Lu","raw_affiliation_strings":["School of Statistics, Renmin University of China","School of Statistics, Renmin University of China, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Statistics, Renmin University of China","institution_ids":["https://openalex.org/I78988378"]},{"raw_affiliation_string":"School of Statistics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103630665","display_name":"Hing Po Lo","orcid":null},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Hing Po Lo","raw_affiliation_strings":["City University of Hong Kong","Department of Management Sciences, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"City University of Hong Kong","institution_ids":["https://openalex.org/I168719708"]},{"raw_affiliation_string":"Department of Management Sciences, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101601788"],"corresponding_institution_ids":["https://openalex.org/I78988378"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.18338021,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":"39","issue":"1","first_page":"28","last_page":"44"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12659","display_name":"Innovation Diffusion and Forecasting","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9962999820709229,"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/T11437","display_name":"Digital Platforms and Economics","score":0.9616000056266785,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and 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"}}],"keywords":[{"id":"https://openalex.org/keywords/popularity","display_name":"Popularity","score":0.8201711177825928},{"id":"https://openalex.org/keywords/advertising","display_name":"Advertising","score":0.557914674282074},{"id":"https://openalex.org/keywords/mandarin-chinese","display_name":"Mandarin Chinese","score":0.5452325344085693},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4729083478450775},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.26390331983566284},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.13517868518829346},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.09975510835647583}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.8201711177825928},{"id":"https://openalex.org/C112698675","wikidata":"https://www.wikidata.org/wiki/Q37038","display_name":"Advertising","level":1,"score":0.557914674282074},{"id":"https://openalex.org/C138954614","wikidata":"https://www.wikidata.org/wiki/Q9192","display_name":"Mandarin Chinese","level":2,"score":0.5452325344085693},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4729083478450775},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.26390331983566284},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.13517868518829346},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.09975510835647583},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610910903289185","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610910903289185","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7799999713897705,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W561468384","https://openalex.org/W1505037116","https://openalex.org/W1574928279","https://openalex.org/W1580788756","https://openalex.org/W1964946769","https://openalex.org/W1965382748","https://openalex.org/W1966523773","https://openalex.org/W2018095773","https://openalex.org/W2027305550","https://openalex.org/W2031116251","https://openalex.org/W2063401701","https://openalex.org/W2087598661","https://openalex.org/W2130351314","https://openalex.org/W2161836996","https://openalex.org/W2165043087","https://openalex.org/W2166575784","https://openalex.org/W2265720734","https://openalex.org/W2796683695","https://openalex.org/W3147894994","https://openalex.org/W4213387828","https://openalex.org/W4230400890","https://openalex.org/W4233763422","https://openalex.org/W4253543067"],"related_works":["https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2368605798","https://openalex.org/W2374317326","https://openalex.org/W2348524959","https://openalex.org/W2990005675","https://openalex.org/W2080787847","https://openalex.org/W2518037665","https://openalex.org/W1603321096","https://openalex.org/W2368049389"],"abstract_inverted_index":{"The":[0,10,73],"study":[1,124],"of":[2,23,48,55,59,86,94,131],"television":[3,24,71],"audience":[4],"viewing":[5],"behavior":[6],"is":[7,52,63,115],"very":[8,105],"important.":[9],"results":[11,146],"can":[12,142],"provide":[13],"broadcasters":[14],"and":[15,26,62,89,107],"advertisers":[16],"useful":[17],"information":[18],"to":[19,43,68,118,123],"increase":[20],"the":[21,45,56,60,70,76,80,84,87,90,95,99,109,119,125,129,135],"effectiveness":[22],"programming":[25],"advertising.":[27],"Based":[28],"on":[29,128],"hazard":[30,121],"rate":[31],"analysis":[32],"for":[33],"survival":[34],"model,":[35],"this":[36],"research":[37],"develops":[38],"a":[39,53,66],"new":[40],"statistical":[41],"model":[42,74,114,122],"fit":[44],"diffusion":[46],"pattern":[47],"TV":[49],"programs,":[50],"which":[51],"measure":[54],"overall":[57],"popularity":[58],"program":[61,136],"used":[64],"as":[65],"criterion":[67],"sell":[69],"time.":[72],"helps":[75],"decision":[77],"makers":[78],"at":[79,137],"networks":[81],"better":[82],"understand":[83],"acceptance":[85],"show":[88],"underlying":[91],"behavioral":[92],"patterns":[93],"viewers.":[96],"It":[97],"fits":[98],"empirical":[100],"data":[101],"in":[102,147],"Hong":[103],"Kong":[104],"well":[106],"outperforms":[108],"existing":[110],"models.":[111],"This":[112],"basic":[113],"then":[116],"extended":[117],"proportional":[120],"covariate":[126],"effects":[127],"likelihood":[130],"an":[132,138],"individual":[133],"watching":[134],"earlier":[139],"stage.":[140],"Advertisers":[141],"benefit":[143],"from":[144],"these":[145],"targeting":[148],"their":[149],"desired":[150],"customers.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}