Modelling the Risks of International Trade Contracts

Bashynska, Iryna; Sokhatska, Olena; Степанова, Тетяна Валеріївна; Malanchuk, Marina; Rybianets, Sergii; Sobol, Oksana

doi:10.35940/ijitee.k2313.0981119

Cited by 5 publications

(5 citation statements)

References 6 publications

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“…The WHO declared the end of the pandemic in August 2010. In 18 months, it caused more than 18,000 deaths and affected more than 200 countries [ 44 ].…”

Section: Resultsmentioning

confidence: 99%

From isolation to revival: trade recovery amid global health crises

Yang

2024

Global Health

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Background The COVID-19 pandemic has highlighted the importance of designing effective trade recovery measures in response to global health events (GHEs). This study combines international trade risk management theory and multi-case comparative analysis of past GHEs to present a theoretical framework for designing national trade recovery measures for future events. Results The research finds that during GHEs, trade risks shift to fundamental uncertainty, requiring spatial–temporal-subject dimension recovery measures. The study suggests changing the focus of trade recovery policy design from emergency-oriented and single-dimension measures to reserve-oriented and enduring-effect measures of comprehensive dimensions at micro- and macroeconomic levels. Conclusion The study contributes to the debate on managing trade risks in times of crisis, where there is a need to develop effective trade recovery measures that account for the complexities of global trade and the unique challenges of GHEs. The findings provide practical guidance for trade officials and policymakers to design measures in response to GHEs to improve a country’s overall trade recovery.

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“…The WHO declared the end of the pandemic in August 2010. In 18 months, it caused more than 18,000 deaths and affected more than 200 countries [ 44 ].…”

Section: Resultsmentioning

confidence: 99%

From isolation to revival: trade recovery amid global health crises

Yang

2024

Global Health

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“…This issue is relevant in connection with the widespread decline in economic growth and, as a result, the trend towards more economical consumption. The unstable economic situation, the fall in real incomes of the population, the continuing spread of the coronavirus and the lack of information or contradictory information about the potential course of the pandemic, and as a result, the possible introduction of new restrictive measures, the doubts of the population in the early recovery of the economy, the threat of transferring workers to part-time work, sending them on unpaid leave and dismissal negatively affect the psychoemotional state of people (Rudenko, 2020;Bashynska et al, 2019). Experts note that employees of companies that are transferred to a remote form of work are more likely to complain of psychological and emotional exhaustion, anxiety, insomnia, and reduced concentration.…”

Section: Introduction Of Digital Platforms In Life Processes In the C...mentioning

confidence: 99%

New reality: Current issues of logistics infrastructure development in the context of the spread of coronavirus

Murahovscaia

2021

EEA

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The study analyses the current issues of logistics infrastructure development and the impact of modern information technologies on it. The influence of the spread of the coronavirus pandemic on the change of conventional business models and relations between consumers and manufacturers, the study of customer experience based on digital technologies, and the trends in the development of new strategic aspects caused by the high uncertainty due to the unpredictability of the lifting of quarantine measures. The implementation of digital transformation in an enterprise requires the development of a strategic plan that includes an analysis of the individual features of the organisation of business processes, the development of the architecture of transformed products and services, new models of interaction with customers, and the analysis and development of an organisational structure that can function effectively during the transformation. The study describes the potential for growth and development of companies in the implementation of digital transformation and the development of digital partnership on the example of foreign and national companies, examines the principles of digitalisation and identifies the reasons for the slow introduction of innovations in the logistics infrastructure. The study considered the main aspects of modern information technologies implemented at logistics infrastructure enterprises, as well as possible risks of the transition period, including risks associated with the low maturity of the infrastructure of certain companies. The main purpose of substantiating the presented hypothesis is to study the mechanisms of optimisation of operational activities in the implementation of digital technologies at the regional and international levels and to assess the impact of digitalisation processes on the re-profiling of personnel and the renewal of human resources. In the course of the study, methods of comparison and analogy, analysis, and synthesis were used. The methodological framework of the study includes the system and institutional approaches to the development of a digital platform for the effective development of logistics infrastructure. The author believes that the main component of a successful digital transformation of a company is the presence of a strategic plan that includes a vision for the transformation of products and services, as well as interaction with customers, taking into account the individual characteristics of the structural organisation and organisation of each particular enterprise.

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“…Mathematical modelling of economic phenomena or processes is an essential tool for financial analysis [1]. It allows you to get a clear idea of the investigated object, to characterize and quantitatively describe its internal structure and external relations [2][3][4].…”

Section: Introductionmentioning

confidence: 99%

“…Mathematical modelling of the studied economic object (process) is the basis of economic research, as it allows you to describe the quantitative laws of this process in the form of mathematical expressions [4][5][6][7]. The modelling process, including economic and mathematical, includes three structural elements: the object of study; subject (researcher); a model mediating the relationship between the knowing subject and the knowable object, which is clearly shown in the diagram Fig.1 [8][9].…”

Section: Introductionmentioning

confidence: 99%

Mathematical Modelling Justification of Financial and Economic Parameters of Enterprises

Kafka¹,

Bagatska²,

Sapinski³

et al. 2019

IJEAT

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Prediction of the effective development of the enterprise implies the need for mathematical modelling of the leading financial and economic indicators of its life. High variability of approaches to the assessment and selection of indicators determines the existence of various approaches to their modelling.The complexity and complexity of the structure of economic activity of the enterprise, suggests the possibility of splitting the general situation into more specific cases, which allows you to apply a logical procedure to them, which is a simulation.The use of mathematical modelling allows you to speed up the economic analysis, contribute to a complete account of the influence of factors on the results of operations, increase the accuracy of calculations. It allows you to get a clear idea of the investigated object, to identify relationships, analyze features and give an accurate forecast of the development and changes in the basic financial and economic parameters of the enterprise.

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Modelling the Risks of International Trade Contracts

Cited by 5 publications

References 6 publications

From isolation to revival: trade recovery amid global health crises

From isolation to revival: trade recovery amid global health crises

New reality: Current issues of logistics infrastructure development in the context of the spread of coronavirus

Mathematical Modelling Justification of Financial and Economic Parameters of Enterprises

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