A Quantitative Performance Evaluation Model Based On a Job Satisfaction-Performance Matrix and Application in a Manufacturing Company
Yükleniyor...
Tarih
2012
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Univ Cincinnati Industrial Engineering
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In 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.
Açıklama
Aktepe, Adnan/0000-0002-3340-244X
Anahtar Kelimeler
Job Satisfaction-Performance Matrix, K-Means Clustering, Performance Management, Employee Performance Evaluation, Job Satisfaction
Kaynak
International Journal Of Industrial Engineering-Theory Applications And Practice
WoS Q Değeri
Q4
Scopus Q Değeri
Q3
Cilt
19
Sayı
6
Künye
closedAccess
