{"id":"https://openalex.org/W4365506282","doi":"https://doi.org/10.1108/k-10-2022-1426","title":"Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking","display_name":"Risk state evaluation model for China's food import using G1-LS and variable weight SPA based on bottom-line thinking","publication_year":2023,"publication_date":"2023-04-14","ids":{"openalex":"https://openalex.org/W4365506282","doi":"https://doi.org/10.1108/k-10-2022-1426"},"language":"en","primary_location":{"id":"doi:10.1108/k-10-2022-1426","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-10-2022-1426","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","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/A5102709635","display_name":"Ping Li","orcid":"https://orcid.org/0000-0003-1384-3595"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Li","raw_affiliation_strings":["Anhui University of Technology School of Business, , Ma'anshan,","School of Business, Anhui University of Technology, Ma'anshan, China"],"raw_orcid":"https://orcid.org/0000-0003-1384-3595","affiliations":[{"raw_affiliation_string":"Anhui University of Technology School of Business, , Ma'anshan,","institution_ids":["https://openalex.org/I92178344"]},{"raw_affiliation_string":"School of Business, Anhui University of Technology, Ma'anshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033234010","display_name":"Zhipeng Chang","orcid":"https://orcid.org/0000-0003-1157-4133"},"institutions":[{"id":"https://openalex.org/I92178344","display_name":"Anhui University of Technology","ror":"https://ror.org/02qdtrq21","country_code":"CN","type":"education","lineage":["https://openalex.org/I92178344"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhipeng Chang","raw_affiliation_strings":["Anhui University of Technology School of Business, , Ma'anshan,","School of Business, Anhui University of Technology, Ma'anshan, China"],"raw_orcid":"https://orcid.org/0000-0003-1157-4133","affiliations":[{"raw_affiliation_string":"Anhui University of Technology School of Business, , Ma'anshan,","institution_ids":["https://openalex.org/I92178344"]},{"raw_affiliation_string":"School of Business, Anhui University of Technology, Ma'anshan, China","institution_ids":["https://openalex.org/I92178344"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5083450269","display_name":"Wenhe Chen","orcid":"https://orcid.org/0000-0003-2236-7076"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]},{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]},{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhe Chen","raw_affiliation_strings":["Nangjing University of Science and Technology School of Economics and Management, , Nanjing,","School of Economics and Management, Nangjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2236-7076","affiliations":[{"raw_affiliation_string":"Nangjing University of Science and Technology School of Economics and Management, , Nanjing,","institution_ids":["https://openalex.org/I36399199","https://openalex.org/I200845125"]},{"raw_affiliation_string":"School of Economics and Management, Nangjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102709635"],"corresponding_institution_ids":["https://openalex.org/I92178344"],"apc_list":null,"apc_paid":null,"fwci":1.1691,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.78082241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"53","issue":"9","first_page":"2749","last_page":"2774"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13882","display_name":"Research studies in Vietnam","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13882","display_name":"Research studies in Vietnam","score":0.9805999994277954,"subfield":{"id":"https://openalex.org/subfields/2303","display_name":"Ecology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10050","display_name":"Multi-Criteria Decision Making","score":0.9623000025749207,"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/T12911","display_name":"Water Resources and Sustainability","score":0.9510999917984009,"subfield":{"id":"https://openalex.org/subfields/2312","display_name":"Water Science and Technology"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.6281590461730957},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.479042649269104},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.4786416292190552},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3848855197429657},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3533979058265686},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.3435423970222473},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3396909236907959},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.30860134959220886},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.26156848669052124},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.13103806972503662}],"concepts":[{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.6281590461730957},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.479042649269104},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.4786416292190552},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3848855197429657},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3533979058265686},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.3435423970222473},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3396909236907959},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.30860134959220886},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.26156848669052124},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.13103806972503662},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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":1,"locations":[{"id":"doi:10.1108/k-10-2022-1426","is_oa":false,"landing_page_url":"https://doi.org/10.1108/k-10-2022-1426","pdf_url":null,"source":{"id":"https://openalex.org/S168682784","display_name":"Kybernetes","issn_l":"0368-492X","issn":["0368-492X","1758-7883"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Kybernetes","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1572854680","https://openalex.org/W1636182550","https://openalex.org/W1966442943","https://openalex.org/W1983737243","https://openalex.org/W2015113299","https://openalex.org/W2019492617","https://openalex.org/W2019842486","https://openalex.org/W2061016129","https://openalex.org/W2288229748","https://openalex.org/W2513660983","https://openalex.org/W2551711876","https://openalex.org/W2557181672","https://openalex.org/W2771379136","https://openalex.org/W2901776415","https://openalex.org/W2922275538","https://openalex.org/W2945777495","https://openalex.org/W2959247396","https://openalex.org/W2966897702","https://openalex.org/W2981534038","https://openalex.org/W3007547533","https://openalex.org/W3010998008","https://openalex.org/W3014055211","https://openalex.org/W3021421896","https://openalex.org/W3039508953","https://openalex.org/W3047100274","https://openalex.org/W3103072227","https://openalex.org/W3123168980","https://openalex.org/W3124564773","https://openalex.org/W3124803069","https://openalex.org/W3129547602","https://openalex.org/W3142698515","https://openalex.org/W3155299247","https://openalex.org/W3165059670","https://openalex.org/W3171773404","https://openalex.org/W3174212057","https://openalex.org/W3186365996","https://openalex.org/W3198737910","https://openalex.org/W3207042802","https://openalex.org/W3215368658","https://openalex.org/W4221039378","https://openalex.org/W4285595451","https://openalex.org/W4292997109","https://openalex.org/W4294733060","https://openalex.org/W4296182665","https://openalex.org/W6681822384"],"related_works":["https://openalex.org/W2350270224","https://openalex.org/W2354620178","https://openalex.org/W600967366","https://openalex.org/W2383989146","https://openalex.org/W2351486628","https://openalex.org/W2390481881","https://openalex.org/W2791039681","https://openalex.org/W2483714098","https://openalex.org/W2804125163","https://openalex.org/W2901234653"],"abstract_inverted_index":{"Purpose":[0],"To":[1],"maintain":[2],"the":[3,27,32,38,53,59,72,76,91,94,102,106,114,133,176,182,228,235,239],"bottom":[4,183],"line":[5,184],"of":[6,56,62,88,97,125,135,185,231,238],"food":[7,63,99,118,126,150,186,192,195,217,232],"import":[8,64,100,119,151,187,218],"risk":[9,17,65,95,123,158,188,209,219,229],"in":[10,31,128,132,160,189,220],"China,":[11,190],"this":[12],"paper":[13,205],"proposes":[14,206],"a":[15,143,207],"novel":[16,208],"state":[18,78,96,134,210],"evaluation":[19,211,230],"model":[20,212],"based":[21],"on":[22],"bottom-line":[23,33,214],"thinking":[24,34,215],"after":[25],"analyzing":[26],"decision-making":[28],"ideas":[29],"embedded":[30],"method.":[35,241],"Design/methodology/approach":[36],"First,":[37],"order":[39],"relation":[40],"analysis":[41,109],"method":[42,111],"(G1":[43],"method)":[44],"and":[45,112,138,156,200],"Laplacian":[46],"score":[47],"(LS)":[48],"are":[49,131,153,173],"applied":[50,226],"to":[51,69,84,167,227],"calculate":[52],"constant":[54],"weights":[55,87],"indexes.":[57,89],"Then,":[58],"worst-case":[60],"scenario":[61],"can":[66],"be":[67],"estimated":[68],"strive":[70],"for":[71,180,216],"best":[73],"result,":[74],"so":[75],"penalty":[77],"variable":[79,86],"weight":[80],"function":[81],"is":[82,224],"introduced":[83],"obtain":[85],"Finally,":[90],"study":[92],"measures":[93],"China's":[98,149],"from":[101,165],"overall":[103],"situation":[104],"using":[105],"set":[107],"pair":[108],"(SPA)":[110],"identifies":[113],"key":[115],"factors":[116,172],"affecting":[117],"risk.":[120,202],"Findings":[121],"The":[122,145],"states":[124],"supply":[127],"eight":[129],"countries":[130],"average":[136],"potential":[137,141],"partial":[139],"back":[140],"as":[142,175],"whole.":[144],"results":[146],"indicate":[147],"that":[148],"risks":[152],"at":[154],"medium":[155],"upper-medium":[157],"levels":[159],"most":[161],"years,":[162],"fluctuating":[163],"slightly":[164],"2010":[166],"2020.":[168],"In":[169],"addition,":[170],"some":[171],"diagnosed":[174],"primary":[177],"control":[178],"objects":[179],"holding":[181],"including":[191],"output":[193],"level,":[194],"export":[196],"capacity,":[197],"bilateral":[198],"relationship":[199],"political":[201],"Originality/value":[203],"This":[204],"following":[213],"China.":[221],"Besides,":[222],"SPA":[223,240],"first":[225],"import,":[233],"expanding":[234],"application":[236],"field":[237]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-05-21T09:19:25.381259","created_date":"2025-10-10T00:00:00"}
