{"id":"https://openalex.org/W4399146929","doi":"https://doi.org/10.1145/3659211.3659220","title":"Let the Olympic Wind Continue to Blow Worldwide","display_name":"Let the Olympic Wind Continue to Blow Worldwide","publication_year":2023,"publication_date":"2023-12-08","ids":{"openalex":"https://openalex.org/W4399146929","doi":"https://doi.org/10.1145/3659211.3659220"},"language":"en","primary_location":{"id":"doi:10.1145/3659211.3659220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","raw_type":"proceedings-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/A5113233392","display_name":"Tong Wu","orcid":"https://orcid.org/0009-0003-2039-2793"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Wu","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":"https://orcid.org/0009-0003-2039-2793","affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Wangbin Qu","orcid":"https://orcid.org/0009-0005-1969-6380"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wangbin Qu","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":"https://orcid.org/0009-0005-1969-6380","affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021147139","display_name":"Chongbin Li","orcid":null},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Congcong Li","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":"https://orcid.org/0000-0002-6812-358X","affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421343","display_name":"Yi Li","orcid":"https://orcid.org/0000-0001-8425-7871"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Li","raw_affiliation_strings":["Wenzhou University, China"],"raw_orcid":"https://orcid.org/0000-0001-8425-7871","affiliations":[{"raw_affiliation_string":"Wenzhou University, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5113233392"],"corresponding_institution_ids":["https://openalex.org/I146620803"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.39286737,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"49","last_page":"53"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11474","display_name":"Sport and Mega-Event Impacts","score":0.9990000128746033,"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"}},"topics":[{"id":"https://openalex.org/T11474","display_name":"Sport and Mega-Event Impacts","score":0.9990000128746033,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9708999991416931,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reputation","display_name":"Reputation","score":0.7048246264457703},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6745797395706177},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6470959186553955},{"id":"https://openalex.org/keywords/sustainable-development","display_name":"Sustainable development","score":0.47632843255996704},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4626098573207855},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4471559226512909},{"id":"https://openalex.org/keywords/economic-indicator","display_name":"Economic indicator","score":0.43842145800590515},{"id":"https://openalex.org/keywords/performance-indicator","display_name":"Performance indicator","score":0.4235246181488037},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.34824246168136597},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3466339707374573},{"id":"https://openalex.org/keywords/marketing","display_name":"Marketing","score":0.2933129668235779},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.22859832644462585},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2215937376022339},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.18587327003479004},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1488053798675537}],"concepts":[{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.7048246264457703},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6745797395706177},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6470959186553955},{"id":"https://openalex.org/C552854447","wikidata":"https://www.wikidata.org/wiki/Q131201","display_name":"Sustainable development","level":2,"score":0.47632843255996704},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4626098573207855},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4471559226512909},{"id":"https://openalex.org/C202353208","wikidata":"https://www.wikidata.org/wiki/Q1167393","display_name":"Economic indicator","level":2,"score":0.43842145800590515},{"id":"https://openalex.org/C135510737","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Performance indicator","level":2,"score":0.4235246181488037},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.34824246168136597},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3466339707374573},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.2933129668235779},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.22859832644462585},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2215937376022339},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.18587327003479004},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1488053798675537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3659211.3659220","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3659211.3659220","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2023 4th International Conference on Big Data Economy and Information Management","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W2969691610","https://openalex.org/W4200231918","https://openalex.org/W4316664702"],"related_works":["https://openalex.org/W4392337488","https://openalex.org/W2102271161","https://openalex.org/W1975632186","https://openalex.org/W4313425421","https://openalex.org/W4388714791","https://openalex.org/W3021174933","https://openalex.org/W4378677069","https://openalex.org/W3083083931","https://openalex.org/W2540594145","https://openalex.org/W2809400083"],"abstract_inverted_index":{"The":[0,38,87,122],"Olympics":[1,117],"embody":[2],"global":[3],"camaraderie":[4],"through":[5],"sports,":[6],"yet":[7],"hosting":[8,148],"risks":[9],"rise,":[10],"and":[11,33,61,66,95,103,118,155,160],"bids":[12],"decline.":[13],"To":[14],"maintain":[15],"this":[16],"unity,":[17],"an":[18],"Olympic":[19,85,93],"Impact":[20],"Index":[21],"system":[22,46],"is":[23],"introduced":[24],"for":[25,83,92,114],"strategic":[26],"enhancement.":[27],"Two":[28,108],"models,":[29],"Principal":[30,48],"Component":[31,49],"Regression":[32,79],"Grey":[34,100],"Prediction,":[35],"are":[36,75,110,141],"employed.":[37],"first":[39],"part":[40,89],"establishes":[41],"a":[42],"comprehensive":[43,105],"impact":[44,53,106],"index":[45],"using":[47],"Regression,":[50],"identifying":[51],"six":[52],"indicators:":[54],"economy,":[55],"land":[56],"use,":[57],"human":[58],"satisfaction":[59,159],"(athletes":[60],"spectators),":[62],"travel,":[63],"future":[64],"prospects,":[65],"host":[67],"reputation.":[68,161],"Utilizing":[69],"principal":[70],"component":[71],"analysis,":[72],"key":[73],"sub-indicators":[74],"identified.":[76],"Multiple":[77],"Linear":[78],"derives":[80],"the":[81,99,104,115,144],"formula":[82],"overall":[84],"impact.":[86],"second":[88],"proposes":[90],"strategies":[91,109,140],"improvement":[94],"sustainable":[96],"development,":[97],"utilizing":[98],"Prediction":[101],"model":[102,133],"index.":[107],"discussed:":[111],"fixed":[112],"hosts":[113],"Summer/Winter":[116],"four":[119],"smaller":[120],"games.":[121],"latter":[123],"emerges":[124],"as":[125],"stable,":[126],"fostering":[127],"long-term":[128],"growth.":[129],"Sensitivity":[130],"analyses":[131],"confirm":[132],"stability.":[134],"Expanding":[135],"beyond":[136],"collected":[137],"information,":[138],"additional":[139],"suggested,":[142],"considering":[143],"fair":[145],"rotation":[146],"of":[147],"countries,":[149],"virtual":[150],"reality":[151],"Olympics,":[152],"themed":[153],"activities,":[154],"more":[156],"to":[157],"enhance":[158]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}