{"id":"https://openalex.org/W2034284484","doi":"https://doi.org/10.3166/jds.19.201-223","title":"Using Classification Trees to Predict Performance in Information Technology Projects","display_name":"Using Classification Trees to Predict Performance in Information Technology Projects","publication_year":2010,"publication_date":"2010-01-01","ids":{"openalex":"https://openalex.org/W2034284484","doi":"https://doi.org/10.3166/jds.19.201-223","mag":"2034284484"},"language":"en","primary_location":{"id":"doi:10.3166/jds.19.201-223","is_oa":false,"landing_page_url":"https://doi.org/10.3166/jds.19.201-223","pdf_url":null,"source":{"id":"https://openalex.org/S119153320","display_name":"Journal of Decision System","issn_l":"1246-0125","issn":["1246-0125","2116-7052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Decision Systems","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/A5076577108","display_name":"Andrew Gemino","orcid":"https://orcid.org/0000-0003-3641-0055"},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Andrew Gemino","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111771203","display_name":"Chris Sauer","orcid":null},"institutions":[{"id":"https://openalex.org/I40120149","display_name":"University of Oxford","ror":"https://ror.org/052gg0110","country_code":"GB","type":"education","lineage":["https://openalex.org/I40120149"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Chris Sauer","raw_affiliation_strings":["University of Oxford","Sa\u00efd Business School , University of Oxford"],"affiliations":[{"raw_affiliation_string":"University of Oxford","institution_ids":["https://openalex.org/I40120149"]},{"raw_affiliation_string":"Sa\u00efd Business School , University of Oxford","institution_ids":["https://openalex.org/I40120149"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5110421357","display_name":"Blaize Horner Reich","orcid":null},"institutions":[{"id":"https://openalex.org/I18014758","display_name":"Simon Fraser University","ror":"https://ror.org/0213rcc28","country_code":"CA","type":"education","lineage":["https://openalex.org/I18014758"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Blaize Horner Reich","raw_affiliation_strings":["Simon Fraser University"],"affiliations":[{"raw_affiliation_string":"Simon Fraser University","institution_ids":["https://openalex.org/I18014758"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5076577108"],"corresponding_institution_ids":["https://openalex.org/I18014758"],"apc_list":null,"apc_paid":null,"fwci":0.719,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8288926,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"19","issue":"2","first_page":"201","last_page":"223"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10260","display_name":"Software Engineering Research","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11891","display_name":"Big Data and Business Intelligence","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10430","display_name":"Software Engineering Techniques and Practices","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.7872986793518066},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.7441384792327881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6501128673553467},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5843212008476257},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.5548579692840576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5536441206932068},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5232164859771729},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4844384491443634},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.48150429129600525},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43755123019218445},{"id":"https://openalex.org/keywords/decision-tree-learning","display_name":"Decision tree learning","score":0.4304061532020569},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2080990970134735},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11452925205230713},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0846308171749115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7872986793518066},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.7441384792327881},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6501128673553467},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5843212008476257},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.5548579692840576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5536441206932068},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5232164859771729},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4844384491443634},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.48150429129600525},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43755123019218445},{"id":"https://openalex.org/C5481197","wikidata":"https://www.wikidata.org/wiki/Q16766476","display_name":"Decision tree learning","level":3,"score":0.4304061532020569},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2080990970134735},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11452925205230713},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0846308171749115},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3166/jds.19.201-223","is_oa":false,"landing_page_url":"https://doi.org/10.3166/jds.19.201-223","pdf_url":null,"source":{"id":"https://openalex.org/S119153320","display_name":"Journal of Decision System","issn_l":"1246-0125","issn":["1246-0125","2116-7052"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Decision Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W25122364","https://openalex.org/W70130258","https://openalex.org/W85239035","https://openalex.org/W312619023","https://openalex.org/W1554663460","https://openalex.org/W1594031697","https://openalex.org/W1963535891","https://openalex.org/W1967370800","https://openalex.org/W1976909194","https://openalex.org/W1979083781","https://openalex.org/W1984084464","https://openalex.org/W1998672825","https://openalex.org/W2000435938","https://openalex.org/W2012937454","https://openalex.org/W2023864115","https://openalex.org/W2024046085","https://openalex.org/W2024786583","https://openalex.org/W2029141425","https://openalex.org/W2045293428","https://openalex.org/W2045925548","https://openalex.org/W2052234385","https://openalex.org/W2058286177","https://openalex.org/W2080225141","https://openalex.org/W2082794478","https://openalex.org/W2086651574","https://openalex.org/W2115296209","https://openalex.org/W2135905197","https://openalex.org/W2159516377","https://openalex.org/W2160677296","https://openalex.org/W3085162807","https://openalex.org/W4252523328","https://openalex.org/W4285719527","https://openalex.org/W4388297464"],"related_works":["https://openalex.org/W2591672004","https://openalex.org/W1982169401","https://openalex.org/W2356463514","https://openalex.org/W4319437832","https://openalex.org/W2592385415","https://openalex.org/W4243803609","https://openalex.org/W2030894524","https://openalex.org/W2350430350","https://openalex.org/W102063058","https://openalex.org/W2006686080"],"abstract_inverted_index":{"Classification":[0],"trees":[1,29,91],"are":[2],"introduced":[3],"as":[4],"a":[5,53,64,85],"modeling":[6],"technique":[7],"to":[8],"predict":[9],"IT":[10,100],"project":[11,36,101],"performance.":[12,69,102],"A":[13],"comparative":[14],"analysis":[15],"of":[16,56,68],"classification":[17,28,42,72,90],"tree,":[18],"regression":[19,45],"and":[20,46,63,77],"neural":[21,47],"network":[22,48],"techniques":[23,49,74],"provides":[24],"promising":[25],"evidence":[26],"that":[27,84],"can":[30],"provide":[31,75,93],"more":[32],"actionable":[33],"output":[34],"for":[35,98],"decisions.":[37],"The":[38],"relative":[39],"accuracy":[40],"from":[41],"trees,":[43],"vis-\u00e0-vis":[44],"is":[50],"demonstrated":[51],"using":[52],"data":[54],"set":[55],"440":[57],"projects":[58],"including":[59],"8":[60],"performance":[61,86],"factors":[62],"binary":[65],"dependent":[66],"variable":[67],"Results":[70],"suggest":[71],"tree":[73],"comparable,":[76],"possibly":[78],"superior,":[79],"predictive":[80],"capabilities.":[81],"We":[82],"conclude":[83],"assessment":[87],"based":[88],"on":[89],"could":[92],"an":[94],"effective":[95],"decision":[96],"tool":[97],"managing":[99]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-03-07T13:37:22.277990","created_date":"2025-10-10T00:00:00"}
