A Quantitative Performance Evaluation Model Based On a Job Satisfaction-Performance Matrix and Application in a Manufacturing Company

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dc.contributor.authorAktepe, Adnan
dc.contributor.authorErsoz, Suleyman
dc.date.accessioned2020-06-25T18:06:43Z
dc.date.available2020-06-25T18:06:43Z
dc.date.issued2012
dc.departmentKırıkkale Üniversitesi
dc.descriptionAktepe, Adnan/0000-0002-3340-244X
dc.description.abstractIn this study, we propose a performance management model based on employee performance evaluations. Employees are clustered into 4 different groups according to a job satisfaction-performance model and strategic plans are derived for each group for an effective performance management. The sustainability of this business process improvement model is managed with a control mechanism as a Plan-Do-Check-Act (PDCA) cycle as a continuous improvement methodology. The grouping model is developed with a data mining clustering algorithm. Firstly 4 different performance groups are determined with a two-step k-means clustering approach. Then the clustering model developed is testified with an Artificial Neural Network (ANN) model. Necessary data for this study are collected with a questionnaire application composed of 25 questions, first 13 variables measuring job satisfaction level and last 12 variables measuring performance characteristics where evaluators are employees themselves. With the help of model developed, human resources department is able to track employees' job satisfaction and performance levels and strategies for different performance groups are developed. Application of the model is conducted in a manufacturing company located in Istanbul, Turkey.en_US
dc.identifier.citationclosedAccessen_US
dc.identifier.endpage277en_US
dc.identifier.issn1943-670X
dc.identifier.issue6en_US
dc.identifier.scopus2-s2.0-84872118577
dc.identifier.scopusqualityQ3
dc.identifier.startpage264en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12587/5327
dc.identifier.volume19en_US
dc.identifier.wosWOS:000313040400003
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherUniv Cincinnati Industrial Engineeringen_US
dc.relation.ispartofInternational Journal Of Industrial Engineering-Theory Applications And Practice
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectJob Satisfaction-Performance Matrixen_US
dc.subjectK-Means Clusteringen_US
dc.subjectPerformance Managementen_US
dc.subjectEmployee Performance Evaluationen_US
dc.subjectJob Satisfactionen_US
dc.titleA Quantitative Performance Evaluation Model Based On a Job Satisfaction-Performance Matrix and Application in a Manufacturing Companyen_US
dc.typeArticle

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