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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) 
Portela, S. (2014). Success determinants of small and medium enterprises: The case of Portugal. In Bostjan Atoncic (Ed.), ABSRC 2014 MILAN Conference Proceedings. Milão: GEA COLLEGE.
Exportar Referência (IEEE) 
S. M. Portela,  "Success determinants of small and medium enterprises: The case of Portugal", in ABSRC 2014 MILAN Conf. Proc., Bostjan Atoncic, Ed., Milão, GEA COLLEGE, 2014
Exportar BibTeX 
@inproceedings{portela2014_1732355992938,
	author = "Portela, S.",
	title = "Success determinants of small and medium enterprises: The case of Portugal",
	booktitle = "ABSRC 2014 MILAN Conference Proceedings",
	year = "2014",
	editor = "Bostjan Atoncic",
	volume = "",
	number = "",
	series = "",
	publisher = "GEA COLLEGE",
	address = "Milão",
	organization = "ABSRC",
	url = "https://www.absrc.org/publications/past-conference-proceedings/proceedings-milan-2014/"
}
Exportar RIS 
TY  - CPAPER
TI  - Success determinants of small and medium enterprises: The case of Portugal
T2  - ABSRC 2014 MILAN Conference Proceedings
AU  - Portela, S.
PY  - 2014
CY  - Milão
UR  - https://www.absrc.org/publications/past-conference-proceedings/proceedings-milan-2014/
AB  - The success determinants of Portuguese small and medium enterprises (SMEs) are examined
using a sample of 207 Portuguese firms from several industries listed in the Dun & Bradstreet
database that are at least five years old and with ten or more employees. The empirical study is
based on the Lussier (1995) success versus failure prediction model. Our results do not fully
support the international research on the determinants of SMEs’ success. The determinants of
Portuguese SMEs’ success are: capital, record-keeping and financial control, planning,
professional advice, age of owner, and marketing skills. Using logistic regression, the model
adequately fits the data, and accurately predicts 43.4 percent of the failed businesses and 87.0
percent of the successful businesses for an overall accuracy rate of 73.2 percent. 

ER  -