{"id":"https://openalex.org/W7225174334","doi":"https://doi.org/10.54254/2754-1169/2026.38441","title":"HARFNet: Hierarchical Attention Residual Fusion Network for Industrial Chain and Supply Chain Risk Early Warning","display_name":"HARFNet: Hierarchical Attention Residual Fusion Network for Industrial Chain and Supply Chain Risk Early Warning","publication_year":2026,"publication_date":"2026-11-03","ids":{"openalex":"https://openalex.org/W7225174334","doi":"https://doi.org/10.54254/2754-1169/2026.38441"},"language":"en","primary_location":{"id":"doi:10.54254/2754-1169/2026.38441","doi":"https://doi.org/10.54254/2754-1169/2026.38441","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2754-1169/2026.38441","pdf_url":"https://aemps.ewapub.com/article/view/38441.pdf","source":{"id":"https://openalex.org/S4387278942","display_name":"Advances in Economics Management and Political Sciences","issn_l":"2754-1169","issn":["2754-1169","2754-1177"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Economics, Management and Political Sciences","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://aemps.ewapub.com/article/view/38441.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5160411610","display_name":"Xuejie Qi","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Xuejie Qi","raw_affiliation_strings":["Institute of Industrial Economics and Technological Economics, Institute, Beijing, Haidian District, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Industrial Economics and Technological Economics, Institute, Beijing, Haidian District, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5160411610"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.87849519,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"310","issue":"1","first_page":"None","last_page":"None"},"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":0.9970999956130981,"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":0.9970999956130981,"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/T14260","display_name":"Impact of AI and Big Data on Business and Society","score":0.002400000113993883,"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/T11918","display_name":"Forecasting Techniques and Applications","score":9.999999747378752e-05,"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/supply-chain-risk","display_name":"supply chain risk","score":0.8529999852180481},{"id":"https://openalex.org/keywords/early-warning","display_name":"early warning","score":0.6710000038146973},{"id":"https://openalex.org/keywords/hierarchical-attention","display_name":"hierarchical attention","score":0.7990000247955322},{"id":"https://openalex.org/keywords/residual-fusion","display_name":"residual fusion","score":0.7360000014305115},{"id":"https://openalex.org/keywords/attention-weights","display_name":"attention weights","score":0.4580000042915344},{"id":"https://openalex.org/keywords/supply-chain-risk-management","display_name":"supply chain risk management","score":0.8830000162124634},{"id":"https://openalex.org/keywords/geopolitical-risk","display_name":"geopolitical risk","score":0.5360000133514404},{"id":"https://openalex.org/keywords/demand-shocks","display_name":"demand shocks","score":0.6949999928474426}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6844000220298767},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.6707000136375427},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.6370000243186951},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5978999733924866},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.4611000120639801},{"id":"https://openalex.org/C14185376","wikidata":"https://www.wikidata.org/wiki/Q30232","display_name":"Agile software development","level":2,"score":0.4357999861240387},{"id":"https://openalex.org/C2779296788","wikidata":"https://www.wikidata.org/wiki/Q5326904","display_name":"Early warning system","level":3,"score":0.399399995803833},{"id":"https://openalex.org/C123403432","wikidata":"https://www.wikidata.org/wiki/Q654068","display_name":"Visibility","level":2,"score":0.36559998989105225},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C2781468064","wikidata":"https://www.wikidata.org/wiki/Q1267117","display_name":"Lead time","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3515999913215637},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C192639820","wikidata":"https://www.wikidata.org/wiki/Q1114469","display_name":"Supply chain risk management","level":5,"score":0.3253999948501587},{"id":"https://openalex.org/C32896092","wikidata":"https://www.wikidata.org/wiki/Q189447","display_name":"Risk management","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.29750001430511475},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.28349998593330383},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.25519999861717224},{"id":"https://openalex.org/C158207573","wikidata":"https://www.wikidata.org/wiki/Q5747224","display_name":"Heterogeneous network","level":4,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.54254/2754-1169/2026.38441","doi":"https://doi.org/10.54254/2754-1169/2026.38441","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2754-1169/2026.38441","pdf_url":"https://aemps.ewapub.com/article/view/38441.pdf","source":{"id":"https://openalex.org/S4387278942","display_name":"Advances in Economics Management and Political Sciences","issn_l":"2754-1169","issn":["2754-1169","2754-1177"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Economics, Management and Political Sciences","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.54254/2754-1169/2026.38441","doi":"https://doi.org/10.54254/2754-1169/2026.38441","is_oa":true,"landing_page_url":"https://doi.org/10.54254/2754-1169/2026.38441","pdf_url":"https://aemps.ewapub.com/article/view/38441.pdf","source":{"id":"https://openalex.org/S4387278942","display_name":"Advances in Economics Management and Political Sciences","issn_l":"2754-1169","issn":["2754-1169","2754-1177"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["cwts-core"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Advances in Economics, Management and Political Sciences","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.8970999717712402,"id":"https://metadata.un.org/sdg/9"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7225174334.pdf","grobid_xml":"https://content.openalex.org/works/W7225174334.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W7162872329","https://openalex.org/W7166529960","https://openalex.org/W4414692775","https://openalex.org/W4416399153","https://openalex.org/W7119469456","https://openalex.org/W7159832101","https://openalex.org/W7131672439","https://openalex.org/W7155417514","https://openalex.org/W7202164376","https://openalex.org/W7162771560"],"abstract_inverted_index":{"In":[0],"today's":[1],"volatile":[2],"global":[3],"economy,":[4],"industrial":[5],"and":[6,22,41,95,112,168,176],"supply":[7,184],"chains":[8],"are":[9],"increasingly":[10],"susceptible":[11],"to":[12],"disruptions":[13],"caused":[14],"by":[15,154],"escalating":[16],"geopolitical":[17],"tensions,":[18],"persistent":[19],"logistics":[20],"congestion,":[21],"sudden":[23],"demand":[24],"shocks.":[25],"Establishing":[26],"an":[27],"effective":[28],"early":[29],"warning":[30,47],"system":[31],"for":[32,37,62,174],"event":[33],"severity":[34,179],"is":[35,119,171],"crucial":[36],"strategic":[38],"buffer":[39],"deployment":[40],"agile":[42],"sourcing":[43],"switching.":[44],"However,":[45],"existing":[46],"indicators":[48],"often":[49],"manifest":[50],"as":[51],"heterogeneous":[52],"mixed":[53],"tabular":[54],"data":[55],"exhibiting":[56],"weak":[57],"separability,":[58],"posing":[59],"significant":[60],"challenges":[61],"traditional":[63],"prediction":[64],"methods.":[65],"To":[66],"overcome":[67],"these":[68],"limitations,":[69],"this":[70],"paper":[71],"introduces":[72],"HARFNet,":[73],"a":[74,104,127],"novel":[75],"Hierarchical":[76,91],"Attention":[77,93],"Residual":[78,97],"Fusion":[79,99],"Network.":[80],"The":[81,101,132,159],"architecture":[82],"integrates":[83],"three":[84],"distinct":[85,114],"components:":[86],"Dual-Path":[87],"Heterogeneous":[88],"Encoding":[89],"(DPHE),":[90],"Dual":[92],"(HDA),":[94],"Gated":[96],"Cross-Path":[98],"(GRCF).":[100],"study":[102],"utilizes":[103],"robust":[105],"dataset":[106],"of":[107],"3,000":[108],"calibrated":[109],"disruption":[110],"events":[111],"49":[113],"early-warning":[115],"features.":[116],"HARFNet's":[117],"performance":[118],"evaluated":[120],"against":[121],"ten":[122],"classical":[123],"learning":[124],"algorithms":[125],"through":[126],"rigorous":[128],"one-round":[129],"stratified":[130],"experiment.":[131],"experimental":[133],"results":[134],"clearly":[135],"demonstrate":[136],"that":[137,162],"HARFNet":[138],"outperforms":[139],"all":[140],"compared":[141],"models,":[142],"achieving":[143],"the":[144,149],"highest":[145],"macro-F1":[146],"score.":[147],"Furthermore,":[148],"model":[150],"provides":[151],"interpretable":[152],"insights":[153],"generating":[155],"group-level":[156],"attention":[157],"weights.":[158],"findings":[160],"confirm":[161],"categorizing":[163],"supplier,":[164],"logistics,":[165],"demand,":[166],"inventory,":[167],"visibility":[169],"signals":[170],"particularly":[172],"useful":[173],"accurate":[175],"actionable":[177],"four-class":[178],"warnings,":[180],"thereby":[181],"significantly":[182],"enhancing":[183],"chain":[185],"risk":[186],"management":[187],"strategies.":[188]},"counts_by_year":[],"updated_date":"2026-11-05T12:25:35.769452","created_date":"2026-11-04T00:00:00"}