All Journals

Language Teaching Research Quarterly

European Journal of Studies in Management and Business

International Journal of Behavior Studies in Organizations

Studies in Educational Management

New Challenges in Accounting and Finance

Language Testing in Focus: An International Journal

Marketing and Branding Research

Individual Differences in Language Education: An International Journal 

Feedback Research in Second Language 

Management Issues in Healthcare System

Language Teacher Education Research

Artificial Intelligence Knowledge Development

<p style="text-align:justify;">Today, in order to succeed in teaching an effective generation and target students, institutions as well as educational and cultural centers have found that applying necessary talents in human resource field is their most important asset. Therefore, talent management emphasizes the identification, recruitment, training, development, and retaining talented employees to improve personal and organizational performances. In this regard, using data mining techniques can be considered as an effective tool. The accurate and precise adoption of a strategy in the field of human resource talent management is of particular importance, thus essential policies must answer this question that how an organization can discover talents. Therefore, this research studies the advantages and various applications of data mining techniques and algorithms in human resource talent management in order to make sure that the right rotation of talented human resource is in such a way that people are placed in the most appropriate posts in schools and educational centers.</p>

mbrq.2017.03.04.pdf

Original Research 

mbrq.2017.03.04.xml

The Application and Advantages of Data Mining to Improve Talent Management in School Staff’s Performance