Tez özetleri Astronomi ve Uzay Bilimleri Anabilim Dalı

Talent Management And Career Planning System Design
Talent Management and Career Planning are emerging and a challenging field of discipline in the human resources management (HRM). This new approach measures the performance and competence of an organization or a company’s employees. Improved performance and competency-based statistical classification leads to the creation of a talent pool that contains the best employees as “Star”. Rest of the employees are grouped three other categoreis: Rising Star, Backbones and Icebergs. This system is able to categorize the employees in different groups on the basis of their talents.
According to this study, the ability of all employees to improve themselves and the talent pool is created through a process of career planning after the receipt of test facilities are entering. Employees are being using classified in three different statistical classification method. These results are tested using various neural network classification methods and decision tree algorithms. Thus the best classification results can be found.

Before this study, no study was done to measure talent using the performance and qualification. In most of the previous studies, performance and qualification were used interchangeably as a single criteria or both are used for similar meaning. In this study, the primary criterion to distinguish between measures aimed through the performance and qualification. This approach is shown in the appendix. In the second chapter, previous studies related to talent management were discussed. Those methods used in previous studies did not categorize employees through the talent pool, rather than primarily focused on classification capabilities. In the third chapter, artificial neural network approach to talent management and classification methods used in this system are discussed. In this context, neural networks such as perceptron, the multilayer perceptron, feed forward and back propagation, radial basis function; classification and regression tree, the Likert scale, and error measurement processes were discussed in details. In the fourth chapter, the system of talent management and career planning was applied on three separate data sets and the results were obtained. This system created the talent pool of employees and categorized the employees. In addition, the system also analyzed error of the system and the defficiencies of the employees.

Talent management and career planning are closely related to each other. Advanced techniques of neural networks could be applied and very good results were found. It is therefore strongly proposed that the proposed talent management and career planning model should be used for workforce planning with higher accuracy.

  

AKBULUT Akhan

Tez Adı : Kablosuz Algılayıcı Ağların Bulut Hesaplaması Kullanılarak

İnternete Genişletilmesi

Danışman : Prof.Dr. A.Halim ZAİM

Anabilim Dalı : Bilgisayar Mühendisliği

Programı : -

Mezuniyet Yılı : 2013

Tez Savunma Jürisi : Prof.Dr. A.Halim ZAİM

Prof. Dr. Ahmet SERTBAŞ

Prof. Dr. Gökhan UZGÖREN

Prof. Dr. Murat TAYLI

Yrd. Doç. Dr. Oğuzhan ÖZTAŞ