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Balance Scorecard Application to Predict Business Success with Logistic Regression

dc.contributor.authorKartal, Ali
dc.date.accessioned2025-11-13T12:02:46Z
dc.date.issued2018-02-01
dc.identifier.doihttps://doi.org/10.22606/jaef.2018.31002
dc.identifier.issn2519-5980
dc.identifier.issue1
dc.identifier.openalexW2791525739
dc.identifier.urihttps://hdl.handle.net/11421/8786
dc.identifier.urihttp://doi.org/10.22606/jaef.2018.31002
dc.identifier.volume3
dc.language.isoen
dc.relation.ispartofJournal of Advances in Economics and Finance
dc.rightsopenAccess
dc.subjectBalanced scorecard
dc.subjectFlexibility (engineering)
dc.subjectLogistic regression
dc.subjectBalance (ability)
dc.subjectBusiness
dc.subjectSampling (signal processing)
dc.subjectRegression analysis
dc.subjectEconometrics
dc.subjectMarketing
dc.subjectComputer science
dc.subjectOperations management
dc.subjectStatistics
dc.subjectEconomics
dc.subjectMathematics
dc.subjectPsychology
dc.subject.sdg8
dc.titleBalance Scorecard Application to Predict Business Success with Logistic Regression
dc.typeArticle
dspace.entity.typePublication
local.authorid.openalexA5111091398

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