{"id":"https://openalex.org/W3124687017","doi":"https://doi.org/10.1080/00207543.2020.1868595","title":"Applying transfer learning to achieve precision marketing in an omni-channel system \u2013 a case study of a sharing kitchen platform","display_name":"Applying transfer learning to achieve precision marketing in an omni-channel system \u2013 a case study of a sharing kitchen platform","publication_year":2021,"publication_date":"2021-01-17","ids":{"openalex":"https://openalex.org/W3124687017","doi":"https://doi.org/10.1080/00207543.2020.1868595","mag":"3124687017"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2020.1868595","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1868595","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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":"International Journal of Production Research","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/A5012337022","display_name":"Ming\u2010Chuan Chiu","orcid":"https://orcid.org/0000-0001-9821-8240"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Ming-Chuan Chiu","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5046766892","display_name":"Kai\u2010Hsiang Chuang","orcid":"https://orcid.org/0000-0002-8356-0657"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kai-Hsiang Chuang","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5012337022"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":4.6402,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.94374279,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":"59","issue":"24","first_page":"7594","last_page":"7609"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9986000061035156,"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/T11536","display_name":"Consumer Retail Behavior Studies","score":0.9986000061035156,"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/T10609","display_name":"Digital Marketing and Social Media","score":0.9961000084877014,"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/T12128","display_name":"AI in Service Interactions","score":0.9866999983787537,"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/chatbot","display_name":"Chatbot","score":0.6567240357398987},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5741021633148193},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.5686705708503723},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.4437619149684906},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4403538703918457},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4194777309894562},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3222757875919342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26301854848861694},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.10665521025657654}],"concepts":[{"id":"https://openalex.org/C2779041454","wikidata":"https://www.wikidata.org/wiki/Q870780","display_name":"Chatbot","level":2,"score":0.6567240357398987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5741021633148193},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.5686705708503723},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.4437619149684906},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4403538703918457},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4194777309894562},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3222757875919342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26301854848861694},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.10665521025657654},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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:10.1080/00207543.2020.1868595","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1868595","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:59:y:2021:i:24:p:7594-7609","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2020.1868595","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3822068868","display_name":null,"funder_award_id":"MOST 109-2634-F-007-021","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"},{"id":"https://openalex.org/G8216432488","display_name":null,"funder_award_id":"MOST\u00a0 109-2628-E-007-002-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1743057383","https://openalex.org/W1965977135","https://openalex.org/W1976650435","https://openalex.org/W1986009012","https://openalex.org/W1993669304","https://openalex.org/W1996544007","https://openalex.org/W2015549764","https://openalex.org/W2016053056","https://openalex.org/W2023369697","https://openalex.org/W2028021044","https://openalex.org/W2029387089","https://openalex.org/W2040263621","https://openalex.org/W2042838633","https://openalex.org/W2096878712","https://openalex.org/W2098663135","https://openalex.org/W2104212223","https://openalex.org/W2131635820","https://openalex.org/W2153028052","https://openalex.org/W2163550632","https://openalex.org/W2169759309","https://openalex.org/W2183341477","https://openalex.org/W2269703563","https://openalex.org/W2281963941","https://openalex.org/W2285118877","https://openalex.org/W2290690201","https://openalex.org/W2292074128","https://openalex.org/W2574459737","https://openalex.org/W2581082771","https://openalex.org/W2607066586","https://openalex.org/W2623293810","https://openalex.org/W2626219548","https://openalex.org/W2734714923","https://openalex.org/W2735962203","https://openalex.org/W2754129872","https://openalex.org/W2755352421","https://openalex.org/W2757616798","https://openalex.org/W2767025582","https://openalex.org/W2794040022","https://openalex.org/W2800725368","https://openalex.org/W2804274048","https://openalex.org/W2807227206","https://openalex.org/W2886887786","https://openalex.org/W2888526352","https://openalex.org/W2891455658","https://openalex.org/W2900047055","https://openalex.org/W2900107703","https://openalex.org/W2900900862","https://openalex.org/W2904923113","https://openalex.org/W2913100501","https://openalex.org/W2995274571","https://openalex.org/W3001635571","https://openalex.org/W3100931193","https://openalex.org/W3123100403","https://openalex.org/W4210997624","https://openalex.org/W4255825300","https://openalex.org/W4297081765"],"related_works":["https://openalex.org/W4383501580","https://openalex.org/W4214931137","https://openalex.org/W4313813117","https://openalex.org/W4382052417","https://openalex.org/W3192088754","https://openalex.org/W2084978036","https://openalex.org/W2390631662","https://openalex.org/W4240703725","https://openalex.org/W381496026","https://openalex.org/W4399634508"],"abstract_inverted_index":{"Omni-channel":[0,20],"marketing":[1,50,71,144],"is":[2,163],"an":[3,45,102,109,124],"enhanced":[4],"cross-channel":[5],"business":[6,24],"model":[7],"involving":[8],"shared":[9,151],"data":[10,30,67],"that":[11,127],"allows":[12],"enterprises":[13],"to":[14,68,91,105,122,138,165],"enhance":[15],"and":[16,25,61,131,142,181],"facilitate":[17],"customer":[18],"experience.":[19],"opportunities":[21],"shape":[22],"retail":[23],"shopper":[26],"behaviours":[27],"by":[28],"coordinating":[29],"across":[31],"all":[32],"channel":[33],"platforms":[34,83],"while":[35],"enabling":[36],"their":[37],"simultaneous":[38],"use.":[39],"Artificial":[40],"intelligence":[41],"(AI)":[42],"has":[43,112],"played":[44],"increasingly":[46],"critical":[47],"role":[48],"in":[49,72,88,108],"analysis.":[51],"With":[52],"the":[53,77,89,116,156,159,182,188,193],"proper":[54],"training,":[55],"AI":[56,85,107],"can":[57],"predict":[58],"consumer":[59,167],"preferences":[60],"provide":[62],"recommendations":[63],"based":[64],"on":[65,80],"historical":[66],"achieve":[69,139],"precision":[70,143],"e-commerce.":[73],"At":[74],"present,":[75],"however,":[76],"existent":[78],"chatbots":[79],"many":[81],"product-ordering":[82],"lack":[84],"refinement,":[86],"resulting":[87],"need":[90],"ask":[92],"customers":[93],"multiple":[94],"questions":[95],"before":[96],"generating":[97],"a":[98],"reliable":[99],"suggestion,":[100],"yet":[101],"effective":[103],"way":[104],"incorporate":[106],"omni-channel":[110,125],"platform":[111],"remained":[113],"vague.":[114],"Hence,":[115],"aim":[117],"of":[118,158,178,184,195],"this":[119],"study":[120,154],"was":[121,136],"develop":[123],"chatbot":[126,135],"incorporates":[128],"iOS,":[129],"Android,":[130],"web":[132],"components.":[133],"The":[134,176],"designed":[137],"personalised":[140,174],"service":[141],"using":[145],"convolutional":[146],"neural":[147],"networks":[148],"(CNNs).":[149],"A":[150],"kitchen":[152],"case":[153],"demonstrates":[155],"advantages":[157],"proposed":[160],"method,":[161],"which":[162],"transferable":[164],"other":[166],"applications":[168],"such":[169],"as":[170],"clothing":[171],"selection":[172],"or":[173],"services.":[175],"number":[177],"food":[179],"offerings":[180],"quality":[183],"image":[185],"classifiers":[186],"set":[187],"research":[189],"limitations,":[190],"pointing":[191],"toward":[192],"direction":[194],"future":[196],"research.":[197]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":3}],"updated_date":"2026-03-13T16:22:10.518609","created_date":"2025-10-10T00:00:00"}