{"id":"https://openalex.org/W4318989734","doi":"https://doi.org/10.1080/00207543.2022.2164628","title":"Federated machine learning for privacy preserving, collective supply chain risk prediction","display_name":"Federated machine learning for privacy preserving, collective supply chain risk prediction","publication_year":2023,"publication_date":"2023-02-02","ids":{"openalex":"https://openalex.org/W4318989734","doi":"https://doi.org/10.1080/00207543.2022.2164628"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2022.2164628","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2164628","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2164628?download=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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","datacite"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2164628?download=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5061928568","display_name":"Zheng Ge","orcid":"https://orcid.org/0000-0002-9983-7120"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ge Zheng","raw_affiliation_strings":["Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102853340","display_name":"Lingxuan Kong","orcid":"https://orcid.org/0000-0002-8876-3840"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lingxuan Kong","raw_affiliation_strings":["Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075872953","display_name":"Alexandra Brintrup","orcid":"https://orcid.org/0000-0002-4189-2434"},"institutions":[{"id":"https://openalex.org/I241749","display_name":"University of Cambridge","ror":"https://ror.org/013meh722","country_code":"GB","type":"education","lineage":["https://openalex.org/I241749"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Alexandra Brintrup","raw_affiliation_strings":["Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom"],"raw_orcid":"https://orcid.org/0000-0002-4189-2434","affiliations":[{"raw_affiliation_string":"Institute for Manufacturing, University of Cambridge, Cambridge, United Kingdom","institution_ids":["https://openalex.org/I241749"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5075872953"],"corresponding_institution_ids":["https://openalex.org/I241749"],"apc_list":null,"apc_paid":null,"fwci":29.8107,"has_fulltext":true,"cited_by_count":122,"citation_normalized_percentile":{"value":0.99763044,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"61","issue":"23","first_page":"8115","last_page":"8132"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10539","display_name":"Sustainable Supply Chain Management","score":0.9836000204086304,"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"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9362999796867371,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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":0.7764314413070679},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.7082078456878662},{"id":"https://openalex.org/keywords/premise","display_name":"Premise","score":0.6792967319488525},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.6170879602432251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5188626050949097},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.4737471044063568},{"id":"https://openalex.org/keywords/collective-intelligence","display_name":"Collective intelligence","score":0.44351616501808167},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.44035574793815613},{"id":"https://openalex.org/keywords/collaborative-learning","display_name":"Collaborative learning","score":0.4242640733718872},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.3883892297744751},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3664097189903259},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33052313327789307},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.32536521553993225},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.17010116577148438},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.09343060851097107},{"id":"https://openalex.org/keywords/finance","display_name":"Finance","score":0.09178230166435242}],"concepts":[{"id":"https://openalex.org/C2780586970","wikidata":"https://www.wikidata.org/wiki/Q1357284","display_name":"Popularity","level":2,"score":0.7764314413070679},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.7082078456878662},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.6792967319488525},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.6170879602432251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5188626050949097},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4737471044063568},{"id":"https://openalex.org/C89057211","wikidata":"https://www.wikidata.org/wiki/Q432197","display_name":"Collective intelligence","level":2,"score":0.44351616501808167},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.44035574793815613},{"id":"https://openalex.org/C138020889","wikidata":"https://www.wikidata.org/wiki/Q2349659","display_name":"Collaborative learning","level":2,"score":0.4242640733718872},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.3883892297744751},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3664097189903259},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33052313327789307},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.32536521553993225},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.17010116577148438},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.09343060851097107},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09178230166435242},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1080/00207543.2022.2164628","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2164628","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2164628?download=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:doi:10.17863/cam.91290","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:23:p:8115-8132","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2022.2164628","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"},{"id":"pmh:oai:www.repository.cam.ac.uk:1810/343868","is_oa":true,"landing_page_url":"https://www.repository.cam.ac.uk/handle/1810/343868","pdf_url":null,"source":{"id":"https://openalex.org/S4306401777","display_name":"Apollo (University of Cambridge)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I241749","host_organization_name":"University of Cambridge","host_organization_lineage":["https://openalex.org/I241749"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.17863/cam.91290","is_oa":true,"landing_page_url":"https://doi.org/10.17863/cam.91290","pdf_url":null,"source":{"id":"https://openalex.org/S7407050737","display_name":"Apollo","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"JournalArticle"}],"best_oa_location":{"id":"doi:10.1080/00207543.2022.2164628","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2022.2164628","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2022.2164628?download=true","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1803483291","display_name":"Collective Risk Learning for Supply Chain Disruption Preparedness","funder_award_id":"EP/W019868/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G2503449184","display_name":null,"funder_award_id":"EP/W019868/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4318989734.pdf","grobid_xml":"https://content.openalex.org/works/W4318989734.grobid-xml"},"referenced_works_count":62,"referenced_works":["https://openalex.org/W1986428794","https://openalex.org/W2000200144","https://openalex.org/W2019675728","https://openalex.org/W2027727781","https://openalex.org/W2030672558","https://openalex.org/W2037238094","https://openalex.org/W2131223556","https://openalex.org/W2138941896","https://openalex.org/W2177895527","https://openalex.org/W2541884796","https://openalex.org/W2765449478","https://openalex.org/W2781702579","https://openalex.org/W2783208783","https://openalex.org/W2783522756","https://openalex.org/W2803187616","https://openalex.org/W2893740026","https://openalex.org/W2899675781","https://openalex.org/W2912500128","https://openalex.org/W2947358988","https://openalex.org/W2949734902","https://openalex.org/W2973507483","https://openalex.org/W2978648093","https://openalex.org/W2981349114","https://openalex.org/W2986002961","https://openalex.org/W2999696340","https://openalex.org/W3001069493","https://openalex.org/W3005444529","https://openalex.org/W3006157707","https://openalex.org/W3015960835","https://openalex.org/W3022195403","https://openalex.org/W3028537074","https://openalex.org/W3032390071","https://openalex.org/W3045674654","https://openalex.org/W3112406345","https://openalex.org/W3114461271","https://openalex.org/W3119053509","https://openalex.org/W3122474876","https://openalex.org/W3123459983","https://openalex.org/W3124121224","https://openalex.org/W3135032840","https://openalex.org/W3154416035","https://openalex.org/W3171122490","https://openalex.org/W3197287934","https://openalex.org/W3200840849","https://openalex.org/W3211102212","https://openalex.org/W4205496101","https://openalex.org/W4205742833","https://openalex.org/W4225116140","https://openalex.org/W4246077928","https://openalex.org/W4250685322","https://openalex.org/W4283817754","https://openalex.org/W4285158815","https://openalex.org/W4285284571","https://openalex.org/W4292084264","https://openalex.org/W4295249297","https://openalex.org/W4295308572","https://openalex.org/W4300427714","https://openalex.org/W4312415855","https://openalex.org/W4312711712","https://openalex.org/W4312723068","https://openalex.org/W6680153912","https://openalex.org/W6738383168"],"related_works":["https://openalex.org/W2368605798","https://openalex.org/W2518037665","https://openalex.org/W590788508","https://openalex.org/W2348524959","https://openalex.org/W2477036161","https://openalex.org/W2368049389","https://openalex.org/W2384861574","https://openalex.org/W4235873430","https://openalex.org/W4294565801","https://openalex.org/W2170801710"],"abstract_inverted_index":{"The":[0],"use":[1],"of":[2,37,83,163],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"for":[6,76,146,178,187],"predicting":[7,31],"supply":[8,38,139,198],"chain":[9,140],"risk":[10,78,82,108,143,170],"has":[11,54],"gained":[12],"popularity.":[13],"However,":[14],"proposed":[15,56],"approaches":[16],"are":[17,157],"based":[18],"on":[19,190,191],"the":[20,34,81,161,175],"premise":[21],"that":[22,45,133],"organisations":[23,44,89],"act":[24],"alone,":[25],"rather":[26],"than":[27],"a":[28,42,72,100],"collective":[29,77,96,107,169,194],"when":[30],"risk,":[32,59],"despite":[33],"interconnected":[35],"nature":[36],"chains.":[39,199],"This":[40,98],"yields":[41],"problem:":[43],"have":[46,91],"inadequate":[47,92],"datasets":[48,93],"cannot":[49],"predict":[50,120,142],"risk.":[51],"While":[52],"data-sharing":[53,167],"been":[55],"to":[57,67],"evaluate":[58],"in":[60,160,197],"practice":[61],"this":[62,164],"does":[63],"not":[64,173],"happen":[65],"due":[66],"privacy":[68],"concerns.":[69],"We":[70,86,112,184],"propose":[71],"federated":[73,134],"learning":[74,135,195],"approach":[75],"prediction":[79,109,171],"without":[80],"data":[84],"exposure.":[85],"ask:":[87],"Can":[88],"who":[90],"tap":[94],"into":[95],"knowledge?":[97],"raises":[99],"second":[101],"question:":[102],"Under":[103],"what":[104],"circumstances":[105],"would":[106],"be":[110],"beneficial?":[111],"present":[113],"an":[114],"empirical":[115],"case":[116],"study":[117],"where":[118],"buyers":[119,147,179],"order":[121],"delays":[122],"from":[123],"their":[124],"shared":[125],"suppliers":[126],"before":[127],"and":[128,154,193],"after":[129],"Covid-19.":[130],"Results":[131],"show":[132],"can":[136],"indeed":[137],"help":[138],"members":[141],"effectively,":[144],"especially":[145],"with":[148,180],"limited":[149],"datasets.":[150],"Training":[151],"data-imbalance,":[152],"disruptions,":[153],"algorithm":[155],"choice":[156,177],"significant":[158],"factors":[159],"efficacy":[162],"approach.":[165],"Interestingly,":[166],"or":[168],"is":[172],"always":[174],"best":[176],"disproportionately":[181],"larger":[182],"order-books.":[183],"thus":[185],"call":[186],"further":[188],"research":[189],"local":[192],"paradigms":[196]},"counts_by_year":[{"year":2026,"cited_by_count":23},{"year":2025,"cited_by_count":59},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":14}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}
