Compensation Clustering
Compensation Clustering is a data-driven analytical method that groups employees or positions into distinct categories based on similarities in compensation structures, levels, or determinants, enabling organizations to identify pay disparities, optimize salary bands, and align remuneration strategies with market benchmarks.
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Publications
336
Citations
10
Authors
4
Institutions
Publications per year
2017–2026
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1 publications · 11 citations
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University of California San Diego
San Diego, United States
1 h-index
1 publications
82 citations

Xi'an Jiaotong University
Xi'an, China
1 h-index
4 publications
972 citations

Birkbeck, University of London
London, United Kingdom
1 h-index
1 publications
82 citations

University of San Diego
San Diego, United States
1 h-index
1 publications
82 citations
National Chin-Yi University of Technology
Taichung, Taiwan
1 publications
26 citations
1–5 of 4
MSSP · 1 publications · 243 citations
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1 publications · 82 citations
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1 publications · 11 citations
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1 publications · 26 citations
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