Please use this identifier to cite or link to this item:
http://hdl.handle.net/10071/16014
Author(s): | Suleman, A. Suleman, F. Lagoa, S. |
Date: | 2017 |
Title: | Understanding firms compensation policy using fuzzy sets |
Event title: | 2017 IEEE International Conference on Fuzzy Systems |
ISSN: | 1558-4739 |
ISBN: | 978-1-5090-6034-4 |
DOI (Digital Object Identifier): | 10.1109/FUZZ-IEEE.2017.8015449 |
Keywords: | Compensation policy Fuzzy clustering |
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. |
Peerreviewed: | yes |
Access type: | Open Access |
Appears in Collections: | BRU-CRI - Comunicações a conferências internacionais DINÂMIA'CET-CRI - Comunicações a conferências internacionais |
Files in This Item:
File | Description | Size | Format | |
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PID4719617.pdf | Pós-print | 244,36 kB | Adobe PDF | View/Open |
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