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Перегляд за Автор "Zavidna, Liudmyla"

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    Digitisation as a tool of strategic management: investment appraisal in the context of sustainable development goals
    (Conferencii, 2026) Zavidna, Liudmyla; Kolesnikova, Kateryna; Yevdokimova, Olha
    Digital transformation and sustainable development constitute key strategic imperatives for the modern economy. This study aims to analyse digitalisation as a tool of strategic management, focusing on modifying the approach to investment appraisal within the context of achieving the Sustainable Development Goals (SDGs). The methodological foundation comprises an integrative literature review, strategic SWOT and scenario analyses, and the development of an economic-mathematical model. Based on a critical analysis of existing practices and theoretical approaches, a modified Strategic Net Present Value (SNPV) model is proposed, which formalises a project’s contribution to the SDGs through the monetary valuation of strategic benefits and a risk premium. The results demonstrate that accounting for intangible strategic effects can fundamentally alter an investment decision, transforming a project deemed unacceptable by traditional NPV into one that is economically and strategically viable. Analysis of empirical data revealed a robust negative correlation between the level of digital investment and the energy intensity of production, as well as regional differences in priorities. The strategic contribution of digital technologies to the SDGs is indirect, mediated through specific business effects − operational efficiency, new business models, and governance and transparency − which is visualised in the author's “TechnologyEffect-SDG” matrix. The primary barriers to realising this potential include the digital divide, institutional constraints, and a deficit of competencies.
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    Formulating a crisis management strategy for an enterprise
    (International Interdisciplinary Scientific Journal "Expert", 2025) Zavidna, Liudmyla; Namliiev, Yevhen; Dudukalova, Oleksandra
    The article examines the challenges faced by Ukrainian enterprises operating under prolonged conditions of full-scale military aggression, which has triggered systemic economic risks, a sharp decline in consumer demand, and reduced innovation activity. In this context, effective crisis management strategies acquire particular importance as key instruments for ensuring operational stability, financial resilience, and the long-term development of enterprises. The study identifies three key aspects of crisis management: conceptual, strategic, and methodological. Their interaction enables the formation of a flexible enterprise behavior model under conditions of instability, supports the maintenance of competitive positions, and contributes to the minimization of financial losses. Various crisis management models are analyzed, revealing their variability depending on the duration, scale, and consequences of crisis phenomena. To identify threats as a component of crisis management guidelines, machine learning algorithms and predictive business analytics based on management reporting systems (ORS, RFID, GDS, HMS) are applied. Based on expert analysis, the degree of threat impact and the timing of risk manifestation are determined. To define preventive measures and ensure rapid response to potential losses, risks are ranked according to their impact level and time horizon, a risk assessment scale is developed, and correlations between threats are calculated. The strength of correlation relationships significantly influences managerial decision-making and strategic planning under uncertainty, facilitating targeted and purposeful adjustments of current revenue planning indicators. In accordance with the identified threats and risks, a matrix of crisis exit and stability recovery strategies is constructed. The research results contribute to the development of theoretical foundations and practical recommendations aimed at strengthening financial resilience, enhancing the effectiveness of managerial decisions, and ensuring the sustainable long-term development of enterprises.

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