{"id":"https://openalex.org/W4414987877","doi":"https://doi.org/10.1007/s44163-025-00523-2","title":"Research on the prediction and policy optimization model of Anhui merchants' return investment based on decision transformer","display_name":"Research on the prediction and policy optimization model of Anhui merchants' return investment based on decision transformer","publication_year":2025,"publication_date":"2025-10-08","ids":{"openalex":"https://openalex.org/W4414987877","doi":"https://doi.org/10.1007/s44163-025-00523-2"},"language":"en","primary_location":{"id":"doi:10.1007/s44163-025-00523-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00523-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00523-2.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00523-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101605882","display_name":"Yu Zhou","orcid":"https://orcid.org/0000-0002-3405-5531"},"institutions":[{"id":"https://openalex.org/I4210114245","display_name":"Anhui Business College","ror":"https://ror.org/02d0cgn19","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210114245"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongqing Zhou","raw_affiliation_strings":["Department of Business Management, Huishang Vocational College, Hefei, 230022, China"],"affiliations":[{"raw_affiliation_string":"Department of Business Management, Huishang Vocational College, Hefei, 230022, China","institution_ids":["https://openalex.org/I4210114245"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5101605882"],"corresponding_institution_ids":["https://openalex.org/I4210114245"],"apc_list":{"value":990,"currency":"EUR","value_usd":1067},"apc_paid":{"value":990,"currency":"EUR","value_usd":1067},"fwci":2.397,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.91807159,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"5","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.8025000095367432,"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"}},"topics":[{"id":"https://openalex.org/T11995","display_name":"FinTech, Crowdfunding, Digital Finance","score":0.8025000095367432,"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/investment","display_name":"Investment (military)","score":0.5636000037193298},{"id":"https://openalex.org/keywords/spillover-effect","display_name":"Spillover effect","score":0.4772999882698059},{"id":"https://openalex.org/keywords/corporate-governance","display_name":"Corporate governance","score":0.4607999920845032},{"id":"https://openalex.org/keywords/investment-decisions","display_name":"Investment decisions","score":0.46050000190734863},{"id":"https://openalex.org/keywords/decision-model","display_name":"Decision model","score":0.42410001158714294},{"id":"https://openalex.org/keywords/return-on-investment","display_name":"Return on investment","score":0.41670000553131104},{"id":"https://openalex.org/keywords/investment-strategy","display_name":"Investment strategy","score":0.36169999837875366}],"concepts":[{"id":"https://openalex.org/C27548731","wikidata":"https://www.wikidata.org/wiki/Q88272","display_name":"Investment (military)","level":3,"score":0.5636000037193298},{"id":"https://openalex.org/C55527203","wikidata":"https://www.wikidata.org/wiki/Q334194","display_name":"Spillover effect","level":2,"score":0.4772999882698059},{"id":"https://openalex.org/C39389867","wikidata":"https://www.wikidata.org/wiki/Q380767","display_name":"Corporate governance","level":2,"score":0.4607999920845032},{"id":"https://openalex.org/C2778865806","wikidata":"https://www.wikidata.org/wiki/Q6060850","display_name":"Investment decisions","level":3,"score":0.46050000190734863},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4350999891757965},{"id":"https://openalex.org/C59594135","wikidata":"https://www.wikidata.org/wiki/Q5249242","display_name":"Decision model","level":2,"score":0.42410001158714294},{"id":"https://openalex.org/C169549615","wikidata":"https://www.wikidata.org/wiki/Q939134","display_name":"Return on investment","level":3,"score":0.41670000553131104},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.36579999327659607},{"id":"https://openalex.org/C103144560","wikidata":"https://www.wikidata.org/wiki/Q2670999","display_name":"Investment strategy","level":3,"score":0.36169999837875366},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3587999939918518},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.35030001401901245},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.33320000767707825},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.32420000433921814},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.3230000138282776},{"id":"https://openalex.org/C134560507","wikidata":"https://www.wikidata.org/wiki/Q753291","display_name":"Environmental economics","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C2779228913","wikidata":"https://www.wikidata.org/wiki/Q12281732","display_name":"Investment policy","level":3,"score":0.3003999888896942},{"id":"https://openalex.org/C86637286","wikidata":"https://www.wikidata.org/wiki/Q7317264","display_name":"Rate of return","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C107327155","wikidata":"https://www.wikidata.org/wiki/Q330268","display_name":"Decision support system","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.259799987077713},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s44163-025-00523-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00523-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00523-2.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:c89ec46232da43af91feeb28bdfaddde","is_oa":true,"landing_page_url":"https://doaj.org/article/c89ec46232da43af91feeb28bdfaddde","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Discover Artificial Intelligence, Vol 5, Iss 1, Pp 1-29 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s44163-025-00523-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s44163-025-00523-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s44163-025-00523-2.pdf","source":{"id":"https://openalex.org/S4210220416","display_name":"Discover Artificial Intelligence","issn_l":"2731-0809","issn":["2731-0809"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Discover Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4414987877.pdf","grobid_xml":"https://content.openalex.org/works/W4414987877.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W3217160495","https://openalex.org/W4206984092","https://openalex.org/W4319298353","https://openalex.org/W4377224041","https://openalex.org/W4390544981","https://openalex.org/W4391100286","https://openalex.org/W4391304801","https://openalex.org/W4393274162","https://openalex.org/W4399898769","https://openalex.org/W4399900700","https://openalex.org/W4400120514","https://openalex.org/W4400270336","https://openalex.org/W4400379214","https://openalex.org/W4400420157","https://openalex.org/W4401956876","https://openalex.org/W4402919464","https://openalex.org/W4403144302","https://openalex.org/W4404111261","https://openalex.org/W4404208622","https://openalex.org/W4404354979","https://openalex.org/W4404597274","https://openalex.org/W4404771046","https://openalex.org/W4405524906","https://openalex.org/W4406478248","https://openalex.org/W4407353307","https://openalex.org/W4407420309","https://openalex.org/W4407565575","https://openalex.org/W4407772407","https://openalex.org/W4407781904","https://openalex.org/W4407852253","https://openalex.org/W4408994565","https://openalex.org/W4409547856","https://openalex.org/W4410017016","https://openalex.org/W4410883067"],"related_works":[],"abstract_inverted_index":{"The":[0,39,94,130],"precise":[1],"prediction":[2,88,169],"of":[3,16,61,102,107,110,121,147,155,196,233],"investment":[4,59,162],"decisions":[5],"by":[6,105,176,183],"returning":[7,65],"Huizhou":[8,63],"merchants":[9,64],"in":[10,22,76,86,136,171],"Anhui":[11,67],"Province":[12],"and":[13,50,56,81,90,127,161,185,210,230],"the":[14,30,58,100,108,119,139,145,194,197,214,231],"optimization":[15,232],"related":[17],"policies":[18],"are":[19,116,174,181],"critical":[20],"issues":[21],"current":[23],"regional":[24,36,207],"governance,":[25],"given":[26],"their":[27],"role":[28],"as":[29,72],"core":[31],"driving":[32],"force":[33],"behind":[34],"high-quality":[35],"economic":[37,208],"development.":[38],"present":[40],"study":[41,192],"proposes":[42],"a":[43,152,203],"novel":[44],"model":[45,95,225],"based":[46],"on":[47,224],"decision":[48],"transformers":[49],"multimodal":[51],"data":[52],"fusion":[53],"to":[54,66],"predict":[55],"optimise":[57],"intentions":[60],"new":[62],"Province.":[68],"Conventional":[69],"models,":[70],"such":[71],"LSTM,":[73],"encounter":[74],"challenges":[75],"accounting":[77],"for":[78,118,206],"nonlinear":[79],"correlations":[80],"dynamic":[82,148],"policy":[83,125,178,211,228],"responses,":[84],"resulting":[85],"substantial":[87],"errors":[89,170],"suboptimal":[91],"resource":[92],"allocation.":[93],"under":[96,213],"discussion":[97],"successfully":[98],"circumvents":[99],"limitations":[101],"traditional":[103],"methods":[104],"means":[106],"integration":[109,218],"spatiotemporal":[111],"attention":[112],"mechanisms.":[113,237],"These":[114],"mechanisms":[115],"employed":[117,135],"purpose":[120],"analysing":[122],"technical":[123],"indicators,":[124],"texts":[126],"social":[128],"capital.":[129],"enhanced":[131],"NSGA-II":[132],"algorithm,":[133],"when":[134],"conjunction":[137],"with":[138],"q-power":[140],"gradient":[141],"update":[142],"strategy,":[143],"facilitates":[144],"optimisation":[146],"policies,":[149],"thereby":[150],"ensuring":[151],"balanced":[153],"consideration":[154],"fiscal":[156],"constraints,":[157],"technology":[158,186],"spillover":[159],"effects,":[160],"risks.":[163],"Empirical":[164],"evidence":[165],"has":[166],"demonstrated":[167],"that":[168],"high-tech":[172],"industries":[173],"reduced":[175],"46%,":[177],"response":[179,236],"delays":[180],"decreased":[182],"62%,":[184],"conversion":[187],"rates":[188],"reach":[189],"74.6%.":[190],"This":[191],"validates":[193],"effectiveness":[195],"\"technology-policy-capital\"":[198],"collaborative":[199],"governance":[200],"framework,":[201],"providing":[202],"robust":[204],"solution":[205],"development":[209],"formulation":[212],"Yangtze":[215],"River":[216],"Delta":[217],"strategy.":[219],"Future":[220],"research":[221],"will":[222],"focus":[223],"lightweighting,":[226],"cross-regional":[227],"simulation,":[229],"real-time":[234],"risk":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
