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Understanding Firms Compensation Policy Using Fuzzy Sets
Event Title
The 2017 International conference on Fuzzy Systems
Year (definitive publication)
2017
Language
English
Country
Italy
More Information
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Abstract
It has been noted in the literature that firms rarely
follow a single theoretical model when designing their compensation
policy. This study illustrates how a fuzzy cluster analysis
can be helpful in understanding the way employees are rewarded
according to firms’ specificity and market conditions. For this
purpose, we convert linked employer-employee data (LEED) into
firm level data prior to fuzzy clustering. Then, we explore the
particular distribution of firms on the emerged fuzzy partition
to sort them by compensation policy and, eventually, to examine
the potential factors behind a specific option.
Acknowledgements
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Keywords
Compensation Policy,Fuzzy Clsutering
Fields of Science and Technology Classification
- Physical Sciences - Natural Sciences
