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PurposeThe COVID-19 crisis experience is shaping new guidelines for learning activities that need to be developed from an interdisciplinary and holistic perspective based on the analysis and assessment of potential impacts and social expectations.Design/methodology/approachThe research is devoted to the study of modern e-learning challenges in the context of social distance, the analysis of learning experience, problems and opportunities associated with online learning. The research was carried out at the “Blinded for peer review” and involved 300 graduate students. A qualitative method based on a two-step process was used in the study. The discussion allowed participants to discuss and compare personal learning experiences primarily related to the COVID-19 crisis.FindingsThe results of the study demonstrated that online learning is an efficient tool for the development of hard skills while being less effective for the improvement of soft skills; they also allowed us to identify important aspects of professional personnel training which should be taken into account while developing a strategy for harmonizing on-campus and online education with the diversification of curricula by various pedagogical technologies and digital tools, as well as bringing social interactions into classroom activities.Originality/valueDue to the fact that most study participants were technical and economic students, it was concluded that the e-learning format is an effective methodology for the development of technical and digital skills of students.

The benefits and advantages of the incorporation of ESG (Environmental, Social, Governing)-related policies have been discussed extensively. However, research articles focus not only on the socioecological aspects of Corporate Social Responsibility (CSR) but also on the underlying effects on a corporation’s corporate financial performance (CFP). In this regard, the current study aims to analyze the impact of ESG parameters on corporations’ financial stability. A sample size of 691 companies in North American countries was investigated in order to test the hypothesis that ESG has an effect on the likelihood of a company going bankrupt using the Ohlson O-score. This is conducted using regression models and the Pearson correlation coefficient. Furthermore, a follow-up hypothesis on the relationship between firm size and ESG is also tested in order to evaluate a tendency of corporate growth through ESG-based sustainable development. The results of the study conclude that the governing pillar of ESG factors has the highest positive impact on corporations’ financial success. Furthermore, the analysis conducted in the study with its sample size confirms the hypothesis that larger firms tend to have higher ESG scores.

д-р экон. наук, доцент, зав. кафедрой экономики городского хозяйства и сферы обслуживания, Московский университет им. С. Ю. Витте, https://www.muiv.ru В данной статье изложены результаты авторских исследований в области текущей технико-экономической ситуации, скложившейся в химическом комплексе России. Приводятся теоретические характеристики устойчивого развития предприятия как экономической категории, анализируется текущее состояние, проблемы и перспективы выхода отечественных химических предприятий не только на траекторию устойчивого роста, но и устойчивого развития в долгосрочной перспективе. Ключевые слова: предприятие; устойчивое развитие; потенциал устойчивого развития; химический комплекс; факторы устойчивого развития; конкурентоспособность The enterprises of chemical complex of Russia in modern conditions: challenges of sustainable development

This work is aimed at analyzing demand dynamics for hydrocarbon fuels from March 2020 and developing a forecast model for the near future. Based on the method of artificial neural network with feedforward and backpropagation learning, a model is proposed for forecasting oil demand and passenger mobility during a pandemic for the United States, Russia, and India. The results of the calculations showed that road and air transport dynamics strongly depend on the application of measures to limit and ban and the level of COVID‐19 incidence in a country. The proposed method can be used to make forecasts during pandemics and unforeseen situations to regulate the price policy for hydrocarbon fuels and the safety of passenger traffic in the future.