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http://hdl.handle.net/10071/16014
acessibilidade
Title: Understanding firms compensation policy using fuzzy sets
Authors: Suleman, A.
Suleman, F.
Lagoa, S.
Keywords: Compensation policy
Fuzzy clustering
Issue Date: 2017
Publisher: IEEE
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.
Peer reviewed: yes
URI: https://ciencia.iscte-iul.pt/id/ci-pub-37990
http://hdl.handle.net/10071/16014
DOI: 10.1109/FUZZ-IEEE.2017.8015449
ISBN: 978-1-5090-6034-4
ISSN: 1558-4739
Appears in Collections:BRU-CRI - Comunicações a conferências internacionais
DINÂMIA'CET-CRI - Comunicação a conferência internacional

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