Employee Selection Analytics
Employee Selection Analytics is a scholarly methodological framework within talent analytics that systematically leverages data, statistical models, and algorithmic techniques to optimize the identification, assessment, and prediction of job candidate suitability and performance potential during organizational hiring processes.
41
Publications
2.6K
Citations
100
Authors
53
Institutions
Publications per year
2017–2026
11
Parents
41
Competing on talent analytics.
Thomas H. Davenport, Jeanne G. Harris, Jeremy F. Shapiro · PubMed · 2010 · 300 citations
Management, Human Resource Management, Organizational Behavior +17
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53
Purdue University West Lafayette
West Lafayette, United States
2 h-index
4 publications
348 citations
U.S. Air Force Test Center
Edwards Air Force Base, United States
1 h-index
6 publications
168 citations
Campion College
Regina, Canada
1 h-index
1 publications
134 citations

Ta Hwa University of Science and Technology
Hsinchu, Taiwan
1 h-index
1 publications
452 citations
Dr. M.G.R. Educational and Research Institute
Chennai, India
1 h-index
1 publications
114 citations

Barnard College
New York, United States
1 h-index
1 publications
11 citations
Narsee Monjee Institute of Management Studies
Mumbai, India
1 h-index
2 publications
60 citations
Afeka College of Engineering
Tel Aviv, Israel
1 h-index
1 publications
283 citations
1–8 of 53
5 publications · 285 citations
5
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2 publications · 117 citations
2
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2 publications · 173 citations
2
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2 publications · 34 citations
2
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2 publications · 188 citations
2
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