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

Sara Javan Amoli (), Mahsa Ebrahimifar () and Farnoosh Aghshahi ()
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Sara Javan Amoli: University of Shiraz, Iran
Mahsa Ebrahimifar: University of Azad, Iran
Farnoosh Aghshahi: University of Tehran, Iran

European Journal of Studies in Management and Business, 2017, vol. 3, 39-49

Abstract: 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.

Keywords: Data Mining; Talent Management; Human Resource (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:bco:mbrqaa::v:3:y:2017:p:39-49

DOI: 10.32038/mbrq.2017.03.04

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