{"id":"https://openalex.org/W2096241835","doi":"https://doi.org/10.4018/jbir.2011010101","title":"Using Business Intelligence in College Admissions","display_name":"Using Business Intelligence in College Admissions","publication_year":2011,"publication_date":"2011-01-01","ids":{"openalex":"https://openalex.org/W2096241835","doi":"https://doi.org/10.4018/jbir.2011010101","mag":"2096241835"},"language":"en","primary_location":{"id":"doi:10.4018/jbir.2011010101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jbir.2011010101","pdf_url":null,"source":{"id":"https://openalex.org/S184213297","display_name":"International Journal of Business Intelligence Research","issn_l":"1947-3591","issn":["1947-3591","1947-3605"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Business Intelligence Research","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/A5085223443","display_name":"W. O. Dale Amburgey","orcid":null},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"W. O. Dale Amburgey","raw_affiliation_strings":["Saint Joseph\u2019s University, USA"],"affiliations":[{"raw_affiliation_string":"Saint Joseph\u2019s University, USA","institution_ids":["https://openalex.org/I51077184"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027357640","display_name":"John C. Yi","orcid":null},"institutions":[{"id":"https://openalex.org/I51077184","display_name":"Saint Joseph's University","ror":"https://ror.org/05q87sg56","country_code":"US","type":"education","lineage":["https://openalex.org/I51077184"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Yi","raw_affiliation_strings":["Saint Joseph\u2019s University, USA"],"affiliations":[{"raw_affiliation_string":"Saint Joseph\u2019s University, USA","institution_ids":["https://openalex.org/I51077184"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5085223443"],"corresponding_institution_ids":["https://openalex.org/I51077184"],"apc_list":null,"apc_paid":null,"fwci":1.6335,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.89441034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":"1","first_page":"1","last_page":"15"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9534000158309937,"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"}},"topics":[{"id":"https://openalex.org/T11911","display_name":"Spatial and Panel Data Analysis","score":0.9534000158309937,"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"}},{"id":"https://openalex.org/T11539","display_name":"Survey Methodology and Nonresponse","score":0.9473000168800354,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.909600019454956,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6392914652824402},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.6182266473770142},{"id":"https://openalex.org/keywords/competition","display_name":"Competition (biology)","score":0.5201835632324219},{"id":"https://openalex.org/keywords/business-intelligence","display_name":"Business intelligence","score":0.51813805103302},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4970133602619171},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4525562524795532},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.44823238253593445},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22206589579582214},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.20440903306007385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19014444947242737},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10104453563690186}],"concepts":[{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6392914652824402},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.6182266473770142},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.5201835632324219},{"id":"https://openalex.org/C2767350","wikidata":"https://www.wikidata.org/wiki/Q6662173","display_name":"Business intelligence","level":2,"score":0.51813805103302},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4970133602619171},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4525562524795532},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.44823238253593445},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22206589579582214},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.20440903306007385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19014444947242737},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10104453563690186},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C18903297","wikidata":"https://www.wikidata.org/wiki/Q7150","display_name":"Ecology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jbir.2011010101","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jbir.2011010101","pdf_url":null,"source":{"id":"https://openalex.org/S184213297","display_name":"International Journal of Business Intelligence Research","issn_l":"1947-3591","issn":["1947-3591","1947-3605"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Business Intelligence Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jbir00:v:2:y:2011:i:1:p:1-15","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jbir.2011010101","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.5299999713897705}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W60582887","https://openalex.org/W205001082","https://openalex.org/W421121722","https://openalex.org/W1489430544","https://openalex.org/W1546647560","https://openalex.org/W2007589543","https://openalex.org/W2036049175","https://openalex.org/W2066906288","https://openalex.org/W2076105819","https://openalex.org/W2106283291","https://openalex.org/W2501175677","https://openalex.org/W4254289118"],"related_works":["https://openalex.org/W4241523039","https://openalex.org/W178231042","https://openalex.org/W2360028903","https://openalex.org/W4280543773","https://openalex.org/W2366083136","https://openalex.org/W2387622493","https://openalex.org/W1932132538","https://openalex.org/W2357832196","https://openalex.org/W2603587807","https://openalex.org/W2362588090"],"abstract_inverted_index":{"Higher":[0],"education":[1],"often":[2],"lags":[3],"behind":[4],"industry":[5],"in":[6,56,124],"the":[7,28,32,47,57,64,94,97,110,114,121,125,131,148,154,164,167],"adoption":[8],"of":[9,25,34,66,96,100,120,147,163,166],"new":[10],"or":[11],"emerging":[12],"technologies.":[13],"As":[14],"competition":[15],"increases":[16],"among":[17],"colleges":[18],"and":[19,78,174],"universities":[20],"for":[21,46,63,153,158],"a":[22,52,74,79],"diminishing":[23],"supply":[24],"prospective":[26],"students,":[27],"need":[29],"to":[30,85,108,112,169,175],"adopt":[31],"principles":[33],"business":[35],"intelligence":[36],"becomes":[37],"increasingly":[38],"more":[39,171],"important.":[40],"Data":[41],"from":[42],"first-year":[43],"enrolling":[44],"students":[45],"2006-2008":[48],"fall":[49],"terms":[50],"at":[51,93,178],"private,":[53],"master\u2019s-level":[54],"institution":[55],"northeastern":[58],"United":[59],"States":[60],"was":[61,127],"analyzed":[62,107],"purpose":[65],"developing":[67],"predictive":[68],"models.":[69],"A":[70],"decision":[71],"tree":[72],"analysis,":[73,77],"neural":[75],"network":[76],"multiple":[80],"regression":[81],"analysis":[82,126,160],"were":[83,106],"conducted":[84],"predict":[86,113],"each":[87],"student\u2019s":[88],"grade":[89],"point":[90],"average":[91,132],"(GPA)":[92],"end":[95],"first":[98],"year":[99],"academic":[101],"study.":[102],"Numerous":[103],"geodemographic":[104],"variables":[105,173],"develop":[109],"models":[111,122,138,149],"target":[115],"variable.":[116],"The":[117,136],"overall":[118],"performance":[119],"developed":[123],"evaluated":[128],"by":[129],"using":[130],"square":[133],"error":[134],"(ASE).":[135],"three":[137],"had":[139],"similar":[140],"ASE":[141],"values,":[142],"which":[143],"indicated":[144],"that":[145],"any":[146],"could":[150],"be":[151],"used":[152],"intended":[155],"purpose.":[156],"Suggestions":[157],"future":[159],"include":[161,170],"expansion":[162],"scope":[165],"study":[168],"student-centric":[172],"evaluate":[176],"GPA":[177],"other":[179],"student":[180],"levels.":[181]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2016-06-24T00:00:00"}
