Based on historical, legal, and sociological research conducted within a research project funded by the Ministry of Education and Science of Ukraine titled "Improvement of human capital development: a factor in increasing the mobilisation potential of Ukraine", theoretical and methodological principles for improving the mobilisation potential of Ukraine through human capital formation mechanisms are substantiated in this paper. An overview of the main approaches to the recruitment of armies in the context of historical evolution is conducted, and a list of actual and potential threats to a reduction of Ukraine's mobilisation potential is updated. Factors of motivation and demotivation influencing the participation or otherwise of Ukrainian youth in military mobilisation are defined. Optimal legal models for military mobilisation in a democratic constitutional state are also proposed. A general strategy whereby the policy of formation of patriotism through education and media for the actualisation of the mobilisation potential of Ukraine may be realised is also outlined. The article aims to develop conceptual bases for improving the mobilisation potential of Ukraine based on optimising the mechanisms of human capital formation. It also aims to enhance the mobilisation potential of Ukraine as a system-forming factor in ensuring the state's defence capabilities.

The article deals with the peculiarities of polling data application in evaluating public authorities' adherence to the good governance principles. Opportunities and threats of soft and polling data implementation are highlighted considering the possible interests of the main stakeholders of the governance process. Evaluation of 12 good governance principles realization on public opinion basis has been analyzed, while the most relevant methods of raw data collecting have been identified, taking into account the peculiarities of main target audiences: citizens, civil servants and civil society organizations representatives.

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One of the key trends in international practice is the Internet of Things technology, which contributes to the competitiveness and performance of international companies, as well as the emergence of new product/service functionality and greatly expanded access to information, the emergence of sophisticated distribution networks and flexible pricing models, optimized and personalized advertising campaigns, etc. The article considers the essence and types of Internet of Things technologies with the identification of internal (aimed at optimizing the company’s business processes) and external technologies (as an element of goods/services), and also investigates the intensity of their implementation in various sectors of the economy. The relevance of the implementation of Internet of Things technologies in international business in order to improve the competitiveness of companies in foreign markets was analyzed. The influence of implementation of Internet of Things technologies on the international marketing complex (4P) of the enterprise was investigated. Opportunities (creation of smart products, new augmented pricing models, more accurate consumer segmentation and personalized communication tools) and problems of using data generated by the Internet of Things for international marketing practices were identified. IoT technologies have a significant impact on international marketing research because they provide more accurate, timely and relevant information about consumer preferences. The Internet of Things reveals patterns of product usage, which allows for accurate demand forecasting. Also, Internet of Things technologies allow for more accurate segmentation of consumers, which allows companies to adapt product, communication and pricing policies in target foreign markets. This leads to a minimization of costs and, accordingly, an increase in profits and brand awareness in the long term. Data from IoT-connected devices can be used to understand customers’ daily lifestyles, determine when products need to be replaced and what type of model they would like to purchase, identify factors that influence buying patterns, and the markets where a product will sell the most.

The world is suffering from a pandemic called COVID-19, caused by the SARS-CoV-2 virus. National governments have problems evaluating the reach of the epidemic, due to having limited resources and tests at their disposal. This problem is especially acute in low and middle-income countries (LMICs). Hence, any simple, cheap and flexible means of evaluating the incidence and evolution of the epidemic in a given country with a reasonable level of accuracy is useful. In this paper, we propose a technique based on (anonymous) surveys in which participants report on the health status of their contacts. This indirect reporting technique, known in the literature as network scale-up method, preserves the privacy of the participants and their contacts, and collects information from