Human resources and corporate failure prediction modeling: Evidence from Belgium-Reference-Cited by-同舟云学术

Human resources and corporate failure prediction modeling: Evidence from Belgium

Published:2021-03-02 Issue:7 Volume:40 Page:1325-1341
ISSN:0277-6693
Container-title:Journal of Forecasting
language:en
Short-container-title:Journal of Forecasting

Author:

Brédart Xavier¹,Séverin Eric²,Veganzones David³

Affiliation:

1. Institut de recherche humanOrg Université de Mons Mons Belgium

2. Laboratoire Rime Lab Université de Lille, IAE Lille Lille France

3. INSEEC U Research Center ESCE International Business School Paris France

Publisher

Wiley

Subject

Management Science and Operations Research,Statistics, Probability and Uncertainty,Strategy and Management,Computer Science Applications,Modelling and Simulation

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/for.2770

Reference74 articles.

1. The productivity effect of permanent and temporary labor contracts in the Italian manufacturing sector

2. Financial and nonfinancial variables as long-horizon predictors of bankruptcy

3. FINANCIAL RATIOS, DISCRIMINANT ANALYSIS AND THE PREDICTION OF CORPORATE BANKRUPTCY

4. Altman E. I.(2000).Predicting financial distress of companies: Revisiting theZ‐score and ZETA models. Working paper Stern School of Business New York University.

5. The value of non-financial information in SME risk management

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