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In a world where the environment is constantly changing, all organizations must adapt themselves to potential changes. Nowadays, evolutions can be used as sources of innovation and improvement. A company is continuously looking for performance to create value. That is why, the monitoring and the enhancement of the performance of a company is essential. Reaching a certain level of performance requires the implementation of a most adapted management system. 
And this is a strategic decision made by AMOS. The company has recently implemented a Quality Management System in order to follow carefully its operational activities. The key performance indicators developed through the new structure have an important role. They help the pilot of a process to run efficiently its daily activities. Furthermore, the global performance of AMOS is determined by a complete dashboard. A dashboard contains all the indicators implemented and has the follow purpose : the data collected lead to relevant information that facilitate the company to take optimal decisions.

Piloting a company, Performance, Management system, Information system, Quality management system, Processes, Key performance indicators, SMART analysis, Dashboards, ERP --- Physique, chimie, mathématiques & sciences de la terre > Aérospatiale, astronomie & astrophysique

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Bankruptcy prediction is one of the most important research areas in corporate finance. Bankruptcies are an indispensable element of the functioning of the market economy, and at the same time generate significant losses for stakeholders. Hence, this book was established to collect the results of research on the latest trends in predicting the bankruptcy of enterprises. It suggests models developed for different countries using both traditional and more advanced methods. Problems connected with predicting bankruptcy during periods of prosperity and recession, the selection of appropriate explanatory variables, as well as the dynamization of models are presented. The reliability of financial data and the validity of the audit are also referenced. Thus, I hope that this book will inspire you to undertake new research in the field of forecasting the risk of bankruptcy.

ISA 701 --- audit expectation gap --- key audit matters --- materiality --- Poland --- corporate bankruptcy --- forecasting --- fuzzy sets --- artificial neural networks --- decision trees --- bankruptcy prediction --- tax arrears --- payment defaults --- financial ratios --- failure --- bankruptcy --- chapter 11 --- regression count --- meta-analysis --- literature review --- manufacturing insolvency --- prediction --- citation mining --- classification --- credit risk modelling --- corporate failure --- rating systems --- ensemble classifiers --- boosting --- bagging --- stacking --- scoring models --- insolvency --- financial distress --- default --- forecasting methods --- models predicting financial distress --- phases of economic cycle --- Czech Republic --- European large companies --- bankruptcy risk --- company performance --- Principal Component Analysis --- neural networks --- support vector machine --- bankruptcy model

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Although the theme of the monograph is primarily related to "Applied Econometrics", there are several theoretical contributions that are associated with empirical examples, or directions in which the novel theoretical ideas might be applied. The monograph is associated with significant and novel contributions in theoretical and applied econometrics; economics; theoretical and applied financial econometrics; quantitative finance; risk; financial modeling; portfolio management; optimal hedging strategies; theoretical and applied statistics; applied time series analysis; forecasting; applied mathematics; energy economics; energy finance; tourism research; tourism finance; agricultural economics; informatics; data mining; bibliometrics; and international rankings of journals and academics.

FHA loan --- E42 --- Misery Index --- economic development --- managing of financial health --- duration models --- system GMM --- maximum likelihood estimator --- FMOLS --- market microstructure --- foreclosure --- company performance --- vector error correction model (VECM) --- earnings forecasts --- multivariate regression models --- competing risks --- social network model --- price recovery --- trading behavior --- efficiency --- prediction methods --- panel data --- nonlinearity --- control environment --- earnings announcements --- economic freedom --- E58 --- risk of bankruptcy --- foreign direct investment --- Granger causality test --- budgetary system and strategies --- denomination range --- heavy-tailed data --- unemployment --- exploratory diagnostics --- EGARCH --- historical time series --- home mortgage --- economic growth --- abnormal returns --- uncorrelated multivariate Student distribution --- post-communist countries --- nonparametric time series modeling --- inflation --- unified time series algorithm --- unobserved heterogeneity --- JEL Classification --- Fama-French factor model --- oil price --- risk spillover --- exchange rate --- Nigeria --- financial markets --- middle income countries --- trade balance --- independent multivariate Student distribution --- panel data factor model --- Mahalanobis distances --- derivatives market --- operational control --- Okun’s law --- default and prepayment --- DOLS --- income inequality --- frequency domain causality --- Granger-causality tests --- cointegration --- financial analysts --- postage stamps --- cash payments --- Probit and Logit models