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~language:"eng"
~language:"est"
~person:"Ciampi, Francesco"
~subject:"Globalization"
~subject:"SME"
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Ciampi, Francesco
Audretsch, David B.
41
Bilgin, Mehmet Huseyin
30
Danis, Hakan
28
Acs, Zoltán J.
23
Kose, M. Ayhan
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Demir, Ender
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Serrasqueiro, Zélia
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Tambunan, Tulus Tahi Hamonangan
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Emerging issues and challenges in business & economics : selected contributions from the 8th Global Conference [on Business & Economics ... held at the Faculty of Economics of the University of Florence in the month of October 2008]
1
Small business economics : an international journal
1
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Proceedings of the 8th Global Conference on
Business
&
Economics
Ciampi, Francesco
-
2013
In keeping with the tradition of Association for
Business
&
Economics
Research (ABER) conferences, we present you with … a program of cutting-edge research in the field of
Business
&
Economics
, in the form of papers and panel discussions …
Persistent link: https://www.econbiz.de/10013085577
Saved in:
2
Business
Failure Prediction Modeling through Balance Sheet Ratios : Preliminary Findings of a Statistical Study of Italian Small Manufacturing Firms
Ciampi, Francesco
-
2013
The results of our statistical analyses, conducted on a sample of small manufacturing firms in Northern and Central Italy, show that both discriminant analysis and logistic regression are effective tools for designing SEs' default prediction models based on economic-financial ratios
Persistent link: https://www.econbiz.de/10013085582
Saved in:
3
Combining Kohonen maps and prior payment behavior for small enterprise default prediction
Ciampi, Francesco
;
Cillo, Valentina
;
Fiano, Fabio
- In:
Small business economics : an international journal
54
(
2020
)
4
,
pp. 1007-1039
Persistent link: https://www.econbiz.de/10012236411
Saved in:
4
Are Credit Scoring Models Able to Predict Small Enterprise Default? Statistical Evidence from Italian Small Enterprises
Ciampi, Francesco
-
2013
models to corporation data with a view to predicting
business
failure. This issue has become increasingly important in recent … and
business
sector. For both models, prediction accuracy increases progressively with larger firms, and is higher in the …
Persistent link: https://www.econbiz.de/10013086967
Saved in:
5
Using Artificial Neural Networks Analysis for Small Enterprise Default Prediction Modeling : Statistical Evidence from Italian Firms
Ciampi, Francesco
-
2014
according to size, geographical area and
business
sector, ANNA prediction accuracy is markedly higher for the smallest …
Persistent link: https://www.econbiz.de/10013064409
Saved in:
6
Can Credit Scoring Models Effectively Predict Small Enterprise Default? Statistical Evidence from Italian Firms
Ciampi, Francesco
-
2013
and taking into account diversity of size, geographical location and
business
sector. For both models, prediction accuracy …
Persistent link: https://www.econbiz.de/10013085574
Saved in:
7
Using Economic-Financial Ratios for Small Enterprise Default Prediction Modeling : An Empirical Analysis
Ciampi, Francesco
-
2013
The results of our statistical analyses, conducted on a sample of small manufacturing firms in Northern and Central Italy, show that both discriminant analysis and logistic regression are effective tools for designing SEs default prediction models based on economic-financial ratios
Persistent link: https://www.econbiz.de/10013085576
Saved in:
8
Are credit scoring models able to predict small enterprise default? : statistical evidence from Italian small enterprises
Vallini, Carlo
;
Ciampi, Francesco
;
Gordini, Niccolò
; …
- In:
Emerging issues and challenges in business & economics …
,
(pp. 27-46)
.
2009
Persistent link: https://www.econbiz.de/10010193126
Saved in:
9
The Potential of Corporate Governance Variables for Small Enterprise Default Prediction Modeling : Statistical Evidence from Italian Manufacturing Firms: Preliminary Findings
Ciampi, Francesco
-
2013
manufacturing firms, and built a
business
prediction model based on both financial ratios and corporate governance characteristics …
Persistent link: https://www.econbiz.de/10013071345
Saved in:
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