A human resources analytics and machine-learning examination of turnover: implications for theory and practice.

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Title: A human resources analytics and machine-learning examination of turnover: implications for theory and practice.
Authors: Avrahami, Dan1 (AUTHOR) dan.avrahami@gmail.com, Pessach, Dana1 (AUTHOR) danapessach@gmail.com, Singer, Gonen2 (AUTHOR) gonen.singer@biu.ac.il, Chalutz Ben-Gal, Hila3 (AUTHOR) hilab@afeka.ac.il
Source: International Journal of Manpower. 2022, Vol. 43 Issue 6, p1405-1424. 20p.
Database: Academic Search Ultimate
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An: 158603554
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  Data: A human resources analytics and machine-learning examination of turnover: implications for theory and practice.
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  Data: <searchLink fieldCode="AR" term="%22Avrahami%2C+Dan%22">Avrahami, Dan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> dan.avrahami@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Pessach%2C+Dana%22">Pessach, Dana</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> danapessach@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Singer%2C+Gonen%22">Singer, Gonen</searchLink><relatesTo>2</relatesTo> (AUTHOR)<i> gonen.singer@biu.ac.il</i><br /><searchLink fieldCode="AR" term="%22Chalutz+Ben-Gal%2C+Hila%22">Chalutz Ben-Gal, Hila</searchLink><relatesTo>3</relatesTo> (AUTHOR)<i> hilab@afeka.ac.il</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Manpower%22">International Journal of Manpower</searchLink>. 2022, Vol. 43 Issue 6, p1405-1424. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=158603554
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1108/IJM-12-2020-0548
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 1405
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      – TitleFull: A human resources analytics and machine-learning examination of turnover: implications for theory and practice.
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            NameFull: Avrahami, Dan
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            NameFull: Pessach, Dana
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            NameFull: Singer, Gonen
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            NameFull: Chalutz Ben-Gal, Hila
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              Text: 2022
              Type: published
              Y: 2022
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              Value: 43
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              Value: 6
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