{"id":"https://openalex.org/W2019166904","doi":"https://doi.org/10.1147/jrd.2014.2337131","title":"Multi-period marketing-mix optimization with response spike forecasting","display_name":"Multi-period marketing-mix optimization with response spike forecasting","publication_year":2014,"publication_date":"2014-09-01","ids":{"openalex":"https://openalex.org/W2019166904","doi":"https://doi.org/10.1147/jrd.2014.2337131","mag":"2019166904"},"language":"en","primary_location":{"id":"doi:10.1147/jrd.2014.2337131","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2014.2337131","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","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/A5003782970","display_name":"Rikiya Takahashi","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"R. Takahashi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013516080","display_name":"T. Yoshizumi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"T. Yoshizumi","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078157306","display_name":"Hideyuki Mizuta","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"H. Mizuta","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060856151","display_name":"Naoki Abe","orcid":"https://orcid.org/0000-0002-4048-3989"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"N. Abe","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082478871","display_name":"R.L. Kennedy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. L. Kennedy","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010028674","display_name":"Vincent J. Jeffs","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"V. J. Jeffs","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102850733","display_name":"Ravi Shah","orcid":"https://orcid.org/0000-0001-9090-588X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. Shah","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5062435562","display_name":"Robert H. Crites","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"R. H. Crites","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5003782970"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.79822335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"58","issue":"5/6","first_page":"1:1","last_page":"1:13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9991999864578247,"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/T11161","display_name":"Consumer Market Behavior and Pricing","score":0.9991999864578247,"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":0.991599977016449,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9843999743461609,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.6321107149124146},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265915036201477},{"id":"https://openalex.org/keywords/revenue","display_name":"Revenue","score":0.5887799263000488},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.4825277030467987},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.46855100989341736},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.44966521859169006},{"id":"https://openalex.org/keywords/marketing-mix","display_name":"Marketing mix","score":0.4223071038722992},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.41689980030059814},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.39558741450309753},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.2064003050327301},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.18188196420669556},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.14614972472190857},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13237079977989197},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1259208619594574},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09416928887367249}],"concepts":[{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.6321107149124146},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265915036201477},{"id":"https://openalex.org/C195487862","wikidata":"https://www.wikidata.org/wiki/Q850210","display_name":"Revenue","level":2,"score":0.5887799263000488},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.4825277030467987},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.46855100989341736},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.44966521859169006},{"id":"https://openalex.org/C98716237","wikidata":"https://www.wikidata.org/wiki/Q193959","display_name":"Marketing mix","level":2,"score":0.4223071038722992},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.41689980030059814},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.39558741450309753},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.2064003050327301},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.18188196420669556},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.14614972472190857},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13237079977989197},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1259208619594574},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09416928887367249},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1147/jrd.2014.2337131","is_oa":false,"landing_page_url":"https://doi.org/10.1147/jrd.2014.2337131","pdf_url":null,"source":{"id":"https://openalex.org/S4210219925","display_name":"IBM Journal of Research and Development","issn_l":"0018-8646","issn":["0018-8646","2151-8556"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320652","host_organization_name":"IBM","host_organization_lineage":["https://openalex.org/P4310320652"],"host_organization_lineage_names":["IBM"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IBM Journal of Research and Development","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1515347377","https://openalex.org/W1518931405","https://openalex.org/W1833977909","https://openalex.org/W1964680067","https://openalex.org/W1970009995","https://openalex.org/W1973429217","https://openalex.org/W1986406048","https://openalex.org/W1990080746","https://openalex.org/W1990259848","https://openalex.org/W2001009060","https://openalex.org/W2010157146","https://openalex.org/W2038888101","https://openalex.org/W2044387322","https://openalex.org/W2052646826","https://openalex.org/W2069873069","https://openalex.org/W2072837080","https://openalex.org/W2098432798","https://openalex.org/W2099275099","https://openalex.org/W2101775432","https://openalex.org/W2109298859","https://openalex.org/W2111492941","https://openalex.org/W2115891031","https://openalex.org/W2119464071","https://openalex.org/W2122489728","https://openalex.org/W2125437911","https://openalex.org/W2128152413","https://openalex.org/W2133626316","https://openalex.org/W2135046866","https://openalex.org/W2136762313","https://openalex.org/W2136789464","https://openalex.org/W2138116946","https://openalex.org/W2138799890","https://openalex.org/W2143748761","https://openalex.org/W2145060720","https://openalex.org/W2145341417","https://openalex.org/W2150617277","https://openalex.org/W2156957852","https://openalex.org/W2167560365","https://openalex.org/W2330820318","https://openalex.org/W3012264151","https://openalex.org/W3017285694","https://openalex.org/W3122267467","https://openalex.org/W3125902322","https://openalex.org/W3142475459","https://openalex.org/W4248963330","https://openalex.org/W4249877154","https://openalex.org/W4256711157","https://openalex.org/W4256718227","https://openalex.org/W6630649040","https://openalex.org/W6637324105","https://openalex.org/W6647724827","https://openalex.org/W6652704086","https://openalex.org/W6677285998","https://openalex.org/W6677950568","https://openalex.org/W6681267953","https://openalex.org/W6681439324","https://openalex.org/W6683945318","https://openalex.org/W7070350029"],"related_works":["https://openalex.org/W2140798747","https://openalex.org/W2948169060","https://openalex.org/W2730112582","https://openalex.org/W2110696645","https://openalex.org/W2358580169","https://openalex.org/W4379260874","https://openalex.org/W4390923437","https://openalex.org/W2772061786","https://openalex.org/W2174689325","https://openalex.org/W4282964981"],"abstract_inverted_index":{"Optimizing":[0],"the":[1,15,26,52,68,128,133,141,144,192],"marketing":[2,19,40,54,148,175],"budget":[3,164],"and":[4,10,96,119,130,162,170],"its":[5],"distribution":[6],"across":[7,166],"various":[8,53],"channels":[9,171],"target":[11],"segments,":[12,169],"along":[13],"with":[14,47,88,104],"timing":[16],"of":[17,71,92,115,127,132,143,159],"each":[18],"action":[20],"for":[21,34,82,139],"maximum":[22],"profit,":[23],"are":[24],"among":[25],"essential":[27],"problems":[28],"in":[29,38,173],"marketing.":[30],"A":[31,177],"crucial":[32],"requirement":[33],"effective":[35],"decision":[36,101,117],"making":[37],"direct":[39],"is":[41,102,150],"an":[42,183],"efficient":[43,113],"optimization":[44,80,114],"algorithm,":[45],"coupled":[46],"reliable":[48],"predictions":[49],"on":[50,182],"how":[51],"actions":[55],"will":[56],"impact":[57],"consumers'":[58,73],"purchase":[59,100],"decisions.":[60],"For":[61],"maximizing":[62],"mid-term":[63],"revenues,":[64],"while":[65],"properly":[66],"incorporating":[67],"temporal":[69,160],"dynamics":[70,161],"individual":[72],"mental":[74],"states,":[75],"we":[76],"introduce":[77],"a":[78,84,89,105,151],"comprehensive":[79],"framework":[81],"obtaining":[83],"state-based":[85],"marketing-mix":[86],"policy,":[87],"novel":[90],"combination":[91],"machine":[93],"learning,":[94],"optimization,":[95],"simulation.":[97],"Each":[98],"consumer's":[99],"modeled":[103],"marked":[106],"point":[107],"process":[108],"whose":[109,120],"discrete-state":[110],"approximation":[111],"enables":[112],"high-dimensional":[116],"variables,":[118],"discrete":[121],"event":[122],"simulation":[123,193],"supplies":[124],"accurate":[125],"forecasts":[126],"revenues":[129],"risks":[131],"optimized":[134],"policy.":[135],"The":[136],"key":[137],"idea":[138],"ensuring":[140],"practicality":[142],"proposed":[145],"approach":[146],"to":[147],"planning":[149],"linear":[152],"programming":[153],"formulation":[154],"that":[155],"allows":[156],"both":[157],"handling":[158],"complex":[163],"constraints":[165],"many":[167],"periods,":[168],"required":[172],"real":[174],"operations.":[176],"real-world":[178],"case":[179],"study":[180],"based":[181],"online":[184],"retailing":[185],"dataset":[186],"implies":[187],"high":[188],"revenue":[189],"gains":[190],"when":[191],"model":[194],"can":[195],"be":[196],"relied":[197],"on.":[198]},"counts_by_year":[{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
