{"id":"https://openalex.org/W3039005614","doi":"https://doi.org/10.2478/ijcss-2020-0005","title":"A Team-Compatibility Decision Support System for the National Football League","display_name":"A Team-Compatibility Decision Support System for the National Football League","publication_year":2020,"publication_date":"2020-06-29","ids":{"openalex":"https://openalex.org/W3039005614","doi":"https://doi.org/10.2478/ijcss-2020-0005","mag":"3039005614"},"language":"en","primary_location":{"id":"doi:10.2478/ijcss-2020-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0005","pdf_url":null,"source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.2478/ijcss-2020-0005","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103073766","display_name":"William A. Young","orcid":"https://orcid.org/0000-0001-7004-4277"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"W.A. Young","raw_affiliation_strings":["Department of Analytics and Information Systems, College of Business , Ohio University , Athens , OH 45701"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Analytics and Information Systems, College of Business , Ohio University , Athens , OH 45701","institution_ids":["https://openalex.org/I4210106879"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070711605","display_name":"Gary R. Weckman","orcid":"https://orcid.org/0000-0002-2445-4934"},"institutions":[{"id":"https://openalex.org/I4210106879","display_name":"Ohio University","ror":"https://ror.org/01jr3y717","country_code":"US","type":"education","lineage":["https://openalex.org/I4210106879"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"G.R. Weckman","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Russ College of Engineering and Technology , Ohio University , Athens , OH 45701"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Russ College of Engineering and Technology , Ohio University , Athens , OH 45701","institution_ids":["https://openalex.org/I4210106879"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210106879"],"apc_list":null,"apc_paid":null,"fwci":0.2459,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72345954,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"19","issue":"1","first_page":"60","last_page":"101"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11674","display_name":"Sports Analytics and Performance","score":0.9994999766349792,"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/T11674","display_name":"Sports Analytics and Performance","score":0.9994999766349792,"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/T11574","display_name":"Artificial Intelligence in Games","score":0.9057999849319458,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/league","display_name":"League","score":0.8041645288467407},{"id":"https://openalex.org/keywords/football","display_name":"Football","score":0.8034870624542236},{"id":"https://openalex.org/keywords/valuation","display_name":"Valuation (finance)","score":0.49856996536254883},{"id":"https://openalex.org/keywords/subject-matter","display_name":"Subject matter","score":0.4880768060684204},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4815090596675873},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4633024334907532},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3790454566478729},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2684354782104492},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.21137851476669312},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.15855607390403748},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10959413647651672},{"id":"https://openalex.org/keywords/accounting","display_name":"Accounting","score":0.06934353709220886}],"concepts":[{"id":"https://openalex.org/C207456731","wikidata":"https://www.wikidata.org/wiki/Q660818","display_name":"League","level":2,"score":0.8041645288467407},{"id":"https://openalex.org/C2778444522","wikidata":"https://www.wikidata.org/wiki/Q1081491","display_name":"Football","level":2,"score":0.8034870624542236},{"id":"https://openalex.org/C186027771","wikidata":"https://www.wikidata.org/wiki/Q4008379","display_name":"Valuation (finance)","level":2,"score":0.49856996536254883},{"id":"https://openalex.org/C2992860105","wikidata":"https://www.wikidata.org/wiki/Q7631392","display_name":"Subject matter","level":3,"score":0.4880768060684204},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4815090596675873},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4633024334907532},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3790454566478729},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2684354782104492},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.21137851476669312},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.15855607390403748},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10959413647651672},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.06934353709220886},{"id":"https://openalex.org/C47177190","wikidata":"https://www.wikidata.org/wiki/Q207137","display_name":"Curriculum","level":2,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.2478/ijcss-2020-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0005","pdf_url":null,"source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:185182c47d5243d0a5d0e1fc9eca6f6d","is_oa":false,"landing_page_url":"https://doaj.org/article/185182c47d5243d0a5d0e1fc9eca6f6d","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Science in Sport, Vol 19, Iss 1, Pp 60-101 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.2478/ijcss-2020-0005","is_oa":true,"landing_page_url":"https://doi.org/10.2478/ijcss-2020-0005","pdf_url":null,"source":{"id":"https://openalex.org/S4306514246","display_name":"Int. J. Comput. Sci. Sport","issn_l":"1684-4769","issn":["1684-4769"],"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-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Science in Sport","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7300000190734863,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W282365774","https://openalex.org/W1494967153","https://openalex.org/W1553285676","https://openalex.org/W1601555045","https://openalex.org/W1612084027","https://openalex.org/W1896329176","https://openalex.org/W1941832280","https://openalex.org/W1971626803","https://openalex.org/W2005186553","https://openalex.org/W2006762481","https://openalex.org/W2009540290","https://openalex.org/W2015780725","https://openalex.org/W2019365613","https://openalex.org/W2034978010","https://openalex.org/W2039703951","https://openalex.org/W2058395827","https://openalex.org/W2059189632","https://openalex.org/W2060920758","https://openalex.org/W2070887914","https://openalex.org/W2077170102","https://openalex.org/W2091717512","https://openalex.org/W2097214569","https://openalex.org/W2101459054","https://openalex.org/W2102895857","https://openalex.org/W2119555207","https://openalex.org/W2124732843","https://openalex.org/W2125631992","https://openalex.org/W2131073923","https://openalex.org/W2146696369","https://openalex.org/W2162438603","https://openalex.org/W2304517173","https://openalex.org/W2326632719","https://openalex.org/W2326738542","https://openalex.org/W2337127709","https://openalex.org/W2338907363","https://openalex.org/W2473904263","https://openalex.org/W2736559741","https://openalex.org/W2737560842","https://openalex.org/W2739260327","https://openalex.org/W2753645507","https://openalex.org/W2765480214","https://openalex.org/W2766398538","https://openalex.org/W2772549448","https://openalex.org/W2794892780","https://openalex.org/W2808459097","https://openalex.org/W2899020366","https://openalex.org/W2900128123","https://openalex.org/W2900789772","https://openalex.org/W2952716368","https://openalex.org/W2969477240","https://openalex.org/W2969900428","https://openalex.org/W2997574686","https://openalex.org/W3125389663","https://openalex.org/W4237970627","https://openalex.org/W4241189039","https://openalex.org/W6632978867","https://openalex.org/W6636041744","https://openalex.org/W6678321527"],"related_works":["https://openalex.org/W1971660097","https://openalex.org/W596417597","https://openalex.org/W2372215460","https://openalex.org/W2353353369","https://openalex.org/W3147676070","https://openalex.org/W72114162","https://openalex.org/W2187395707","https://openalex.org/W2361814984","https://openalex.org/W2073857110","https://openalex.org/W1598029824"],"abstract_inverted_index":{"Abstract":[0],"Many":[1],"factors":[2],"are":[3,46],"considered":[4],"when":[5],"making":[6],"a":[7,74,104,109,116,133],"hiring":[8,89],"decision":[9,18],"in":[10,28,39,161],"the":[11,29,58,125,128,130,145,151,164,167],"National":[12],"Football":[13],"League":[14],"(NFL).":[15],"One":[16],"difficult":[17],"that":[19,77,166],"executives":[20],"must":[21],"make":[22],"is":[23,73,95],"who":[24],"they":[25],"will":[26],"select":[27],"offseason.":[30],"Mathematical":[31],"models":[32,45],"can":[33],"be":[34,158],"developed":[35],"to":[36,48,84,96,112,123,139,157],"aid":[37,85],"humans":[38],"their":[40,88],"decision-making":[41,153],"processes":[42],"because":[43],"these":[44],"able":[47],"find":[49],"hidden":[50],"relationships":[51],"within":[52],"numeric":[53],"data.":[54],"This":[55],"research":[56],"proposes":[57],"H":[59],"euristic":[60],"E":[61],"valuation":[62],"of":[63,93,127,132,150,163],"A":[64],"rtificially":[65],"R":[66],"eplaced":[67],"T":[68],"eammates":[69],"(HEART)":[70],"methodology,":[71,129],"which":[72,107],"mathematical":[75],"model":[76],"utilizes":[78],"machine":[79],"learning":[80],"and":[81,99],"statistical-based":[82],"methodologies":[83],"managers":[86],"with":[87],"decisions.":[90],"The":[91],"goal":[92],"HEART":[94],"determine":[97],"expected":[98],"theoretical":[100],"contribution":[101],"values":[102],"for":[103],"potential":[105],"candidate,":[106],"represents":[108],"player\u2019s":[110],"ability":[111],"increase":[113],"or":[114],"decrease":[115],"team\u2019s":[117],"forecasted":[118],"winning":[119],"percentage.":[120],"In":[121],"order":[122],"validate":[124],"usefulness":[126],"results":[131,147],"2007":[134],"case":[135],"study":[136],"were":[137,155],"presented":[138],"subject":[140],"matter":[141],"experts.":[142],"After":[143],"analyzing":[144],"survey":[146],"statistically,":[148],"five":[149],"eight":[152],"categories":[154],"found":[156],"\u201cvery":[159],"useful\u201d":[160],"terms":[162],"information":[165],"methodology":[168],"provided.":[169]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}