{"id":"https://openalex.org/W3170210871","doi":"https://doi.org/10.1108/dta-02-2021-0037","title":"Predicting agricultural and livestock products purchases using the Internet search index and data mining techniques","display_name":"Predicting agricultural and livestock products purchases using the Internet search index and data mining techniques","publication_year":2021,"publication_date":"2021-06-14","ids":{"openalex":"https://openalex.org/W3170210871","doi":"https://doi.org/10.1108/dta-02-2021-0037","mag":"3170210871"},"language":"en","primary_location":{"id":"doi:10.1108/dta-02-2021-0037","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-02-2021-0037","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"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":"Data Technologies and Applications","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/A5032705174","display_name":"Hoyoung Rho","orcid":null},"institutions":[{"id":"https://openalex.org/I4210089180","display_name":"Korea Rural Economic Institute","ror":"https://ror.org/00avq9860","country_code":"KR","type":"facility","lineage":["https://openalex.org/I4210089180","https://openalex.org/I4210097958"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Hoyoung Rho","raw_affiliation_strings":["Department of Agricultural Outlook, Korea Rural Economic Institute, Naju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Agricultural Outlook, Korea Rural Economic Institute, Naju, Republic of Korea","institution_ids":["https://openalex.org/I4210089180"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101887792","display_name":"Keunho Choi","orcid":"https://orcid.org/0009-0009-1343-2500"},"institutions":[{"id":"https://openalex.org/I145808223","display_name":"Hanbat National University","ror":"https://ror.org/00x514t95","country_code":"KR","type":"education","lineage":["https://openalex.org/I145808223"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Keunho Choi","raw_affiliation_strings":["Department of Business Administration, Hanbat National University, Daejeon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Business Administration, Hanbat National University, Daejeon, Republic of Korea","institution_ids":["https://openalex.org/I145808223"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052576532","display_name":"Donghee Yoo","orcid":"https://orcid.org/0000-0002-4063-6586"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Donghee Yoo","raw_affiliation_strings":["Department of Management Information Systems, BERI, Gyeongsang National University, Jinju, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Management Information Systems, BERI, Gyeongsang National University, Jinju, Republic of Korea","institution_ids":["https://openalex.org/I189442560"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5032705174"],"corresponding_institution_ids":["https://openalex.org/I4210089180"],"apc_list":null,"apc_paid":null,"fwci":0.3122,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6041181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"55","issue":"5","first_page":"788","last_page":"809"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T12486","display_name":"Food Supply Chain Traceability","score":0.9764999747276306,"subfield":{"id":"https://openalex.org/subfields/1106","display_name":"Food Science"},"field":{"id":"https://openalex.org/fields/11","display_name":"Agricultural and Biological Sciences"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12388","display_name":"Identification and Quantification in Food","score":0.953000009059906,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/livestock","display_name":"Livestock","score":0.8464081287384033},{"id":"https://openalex.org/keywords/agriculture","display_name":"Agriculture","score":0.6750715374946594},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.6459495425224304},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6341243386268616},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.5679709911346436},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5043090581893921},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47151458263397217},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.4565460681915283},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.45044389367103577},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.3673226237297058},{"id":"https://openalex.org/keywords/agricultural-science","display_name":"Agricultural science","score":0.3644859194755554},{"id":"https://openalex.org/keywords/agricultural-economics","display_name":"Agricultural economics","score":0.36124110221862793},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2881041169166565},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2240554392337799},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17062726616859436},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.15892603993415833},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.15106496214866638},{"id":"https://openalex.org/keywords/forestry","display_name":"Forestry","score":0.13812756538391113},{"id":"https://openalex.org/keywords/environmental-science","display_name":"Environmental science","score":0.07904034852981567}],"concepts":[{"id":"https://openalex.org/C112964050","wikidata":"https://www.wikidata.org/wiki/Q103459","display_name":"Livestock","level":2,"score":0.8464081287384033},{"id":"https://openalex.org/C118518473","wikidata":"https://www.wikidata.org/wiki/Q11451","display_name":"Agriculture","level":2,"score":0.6750715374946594},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.6459495425224304},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6341243386268616},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.5679709911346436},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5043090581893921},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47151458263397217},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.4565460681915283},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.45044389367103577},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3673226237297058},{"id":"https://openalex.org/C37621935","wikidata":"https://www.wikidata.org/wiki/Q3606845","display_name":"Agricultural science","level":1,"score":0.3644859194755554},{"id":"https://openalex.org/C48824518","wikidata":"https://www.wikidata.org/wiki/Q396340","display_name":"Agricultural economics","level":1,"score":0.36124110221862793},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2881041169166565},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2240554392337799},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17062726616859436},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15892603993415833},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.15106496214866638},{"id":"https://openalex.org/C97137747","wikidata":"https://www.wikidata.org/wiki/Q38112","display_name":"Forestry","level":1,"score":0.13812756538391113},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.07904034852981567},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1108/dta-02-2021-0037","is_oa":false,"landing_page_url":"https://doi.org/10.1108/dta-02-2021-0037","pdf_url":null,"source":{"id":"https://openalex.org/S4210171756","display_name":"Data Technologies and Applications","issn_l":"2514-9288","issn":["2514-9288","2514-9318"],"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":"Data Technologies and Applications","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.75}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2005807747","https://openalex.org/W2011347088","https://openalex.org/W2028132894","https://openalex.org/W2036048505","https://openalex.org/W2069228454","https://openalex.org/W2117239687","https://openalex.org/W2151932005","https://openalex.org/W2153340721","https://openalex.org/W2163691453","https://openalex.org/W2323881768","https://openalex.org/W2335153870","https://openalex.org/W2734629395","https://openalex.org/W2781525028","https://openalex.org/W2782447404","https://openalex.org/W2915207878","https://openalex.org/W2969470416","https://openalex.org/W2988707158","https://openalex.org/W3025678142","https://openalex.org/W3037949015","https://openalex.org/W3043900109","https://openalex.org/W3046097378","https://openalex.org/W3119115276","https://openalex.org/W3122574224","https://openalex.org/W3123250452","https://openalex.org/W3123568535","https://openalex.org/W3125481687","https://openalex.org/W3202495567"],"related_works":["https://openalex.org/W1573929026","https://openalex.org/W2137957896","https://openalex.org/W2081866618","https://openalex.org/W2188903828","https://openalex.org/W2613749065","https://openalex.org/W4380995703","https://openalex.org/W168166380","https://openalex.org/W1590449018","https://openalex.org/W3143762237","https://openalex.org/W2398498248"],"abstract_inverted_index":{"Purpose":[0],"This":[1,186],"study":[2,65,187],"identifies":[3],"whether":[4],"the":[5,25,28,68,71,91,94,99,112,135,138,151,171,194,214,225,235],"Internet":[6,95,113,221],"search":[7,96,114,222],"index":[8,97,115,223],"can":[9,116],"be":[10,106,117],"used":[11,62,118],"as":[12,119,130],"effective":[13],"enough":[14],"data":[15,82,202,217],"to":[16,66,105,122,233],"identify":[17],"agricultural":[18,32,75,124,142,197,208,228,240],"and":[19,23,33,47,57,76,125,143,161,164,180,198,209,220,229,237,241],"livestock":[20,34,77,126,144,199,210,230,242],"product":[21],"demand":[22],"compare":[24,67],"accuracy":[26,69,136,173,236],"of":[27,30,70,73,93,133,137,140,174,196,207,216,227,239],"prediction":[29,39,72,139],"major":[31,74],"products":[35,78,127,200],"purchases":[36,145,206,231],"between":[37],"these":[38],"models":[40],"using":[41,85,146,201],"artificial":[42,182],"neural":[43,53,183],"network,":[44,54],"linear":[45,55,178],"regression":[46,56,179],"a":[48,120,131,167],"decision":[49,58,168],"tree.":[50],"Design/methodology/approach":[51],"Artificial":[52],"tree":[59,169],"algorithms":[60],"were":[61,83],"in":[63,190,224],"this":[64],"purchases.":[79,128],"The":[80],"analysis":[81,226],"studied":[84],"10-fold":[86],"cross":[87],"validation.":[88],"Findings":[89],"First,":[90],"importance":[92],"among":[98],"20":[100],"explanatory":[101],"variables":[102],"was":[103,150],"found":[104],"high":[107],"for":[108],"most":[109,152],"items,":[110],"so":[111],"variable":[121],"explain":[123],"Second,":[129],"result":[132],"comparing":[134],"six":[141],"three":[147],"models,":[148],"beef":[149],"predictable,":[153],"followed":[154,176],"by":[155,165,177],"radishes,":[156],"chicken,":[157],"Chinese":[158],"cabbage,":[159],"garlic":[160],"dried":[162],"peppers,":[163],"model,":[166],"shows":[170],"highest":[172],"prediction,":[175],"an":[181],"network.":[184],"Originality/value":[185],"is":[188],"meaningful":[189],"that":[191],"it":[192],"analyzes":[193],"purchase":[195,243],"from":[203],"actual":[204],"consumers'":[205],"products.":[211],"In":[212],"addition,":[213],"use":[215],"mining":[218],"techniques":[219],"contributes":[232],"improving":[234],"efficiency":[238],"predictions.":[244]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}