Exportar Publicação

A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA) 
Suleman, A., Suleman, F. & Lagoa, S. (2017). Understanding firms compensation policy using fuzzy sets. In 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017.  Naples: IEEE.
Exportar Referência (IEEE) 
A. K. Suleman et al.,  "Understanding firms compensation policy using fuzzy sets", in 2017 IEEE Int. Conf. on Fuzzy Systems, FUZZ 2017,  Naples, IEEE, 2017
Exportar BibTeX 
@inproceedings{suleman2017_1715027934057,
	author = "Suleman, A. and Suleman, F. and Lagoa, S.",
	title = "Understanding firms compensation policy using fuzzy sets",
	booktitle = "2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017",
	year = "2017",
	editor = "",
	volume = "",
	number = "",
	series = "",
	doi = "10.1109/FUZZ-IEEE.2017.8015449",
	publisher = "IEEE",
	address = " Naples",
	organization = "",
	url = "https://ieeexplore.ieee.org/document/8015449/"
}
Exportar RIS 
TY  - CPAPER
TI  - Understanding firms compensation policy using fuzzy sets
T2  - 2017 IEEE International Conference on Fuzzy Systems, FUZZ 2017
AU  - Suleman, A.
AU  - Suleman, F.
AU  - Lagoa, S.
PY  - 2017
SN  - 1558-4739
DO  - 10.1109/FUZZ-IEEE.2017.8015449
CY  -  Naples
UR  - https://ieeexplore.ieee.org/document/8015449/
AB  - 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.
ER  -