Our study forecasts the likelihood of firms resuming growth after periods of stagnation or declining sales. We employ machine learning methods, including Random Forest, LightGBM, and CatBoost, alongside logistic regression models. To address class imbalance, we incorporate oversampling...

This study examines the impact of traditional working capital management (WCM) and modern technological factors, specifically digital communications with customers as part of a customer relationship management strategy (CRM), on the performance of retail consumer-focused industrial and service...

This study examines the ways in which firms recover from stagnation or sales decline, with a focus on two key aspects: traditional high‑growth companies and growth restarts within the framework of organizational life cycle theory. Analyzing a dataset of 1883 Russian firms from 2013 to 2021,...

This study analyzes factors affecting the efficiency (profitability) of enterprises in foreign, joint and domestic ownership in countries with unstable economy. The novelty of the study is that for the first time this kind of analysis has been carried out for the manufacturing industry in...