1,945 research outputs found
The Poetics of the Novella in Correlation to Vasyl Stefanyk's Artistic Vision
Get PDFThe article discusses correlations between artistic vision and poetics in Vasyl Stefanyk’s novellas. It is argued that the writer’s modernist aesthetic experience left its imprint on his literary works. The author concludes that the writer’s artistic vision followed a dynamic course of development correlating with the poetics of the novella and enriching the stylistic color scheme of his narrative prose
The individual-author features of literary reviews by Vasyl Slapchuk
Get PDFУ статті розглядається вияв індивідуально-авторського та традиційного в літературознавчих рецензіях Василя Слапчука. Основна увага зосереджується на з’ясуванні специфіки структурно-семантичної організації обов’язкових мікротем рецензії, зокрема, “Автор книги”, “Достоїнства видання” та “Недоліки книги”. Встановлено, що факультативними міні-темами рецензій є “Адресат”, “Побажання автору, читачам”, “Поради читачеві”. (The article deals with the explication of individual-author and traditional aspects in literary reviews by Vasyl Slapchuk. The main attention is paid to finding out the specificity of the structural and semantic organization of the obligatory microthemes of the review, in particular, “The author of the book”, “The merits of the book” and “The drawbacks of the book”. We have come to the conclusion that such review’s microthemes as “The addressee”, “The wishes to the author and to the reader” and “The advices” have the facultative character)
The individual-author features of literary reviews by Vasyl Slapchuk
No full textУ статті розглядається вияв індивідуально-авторського та традиційного в літературознавчих рецензіях Василя Слапчука. Основна увага зосереджується на з’ясуванні специфіки структурно-семантичної організації обов’язкових мікротем рецензії, зокрема, “Автор книги”, “Достоїнства видання” та “Недоліки книги”. Встановлено, що факультативними міні-темами рецензій є “Адресат”, “Побажання автору, читачам”, “Поради читачеві”. (The article deals with the explication of individual-author and traditional aspects in literary reviews by Vasyl Slapchuk. The main attention is paid to finding out the specificity of the structural and semantic organization of the obligatory microthemes of the review, in particular, “The author of the book”, “The merits of the book” and “The drawbacks of the book”. We have come to the conclusion that such review’s microthemes as “The addressee”, “The wishes to the author and to the reader” and “The advices” have the facultative character)
Vasyl Stus and Ukrainian Folk Art
No full textFolk songs played a great role in the formation of Vasyl Stus as a humanist and a patriot and he mentioned a lot the role that folk songs and folk culture are playing in the development of the nation's patriotism. The author of this articles describing the life and works of Vasyl Stus in the context of their connection to Ukrainian traditional music and folk songs. V.Stus's letters to his family were folk songs being mentioned and analyzed very actively. Special attention the author is paying to Stus's article "Something from the Thoughts of Our Predecessors about the National Question in Ukraine and it's Today's Life"
The surrealist image of hell in Vasyl Stus’s poetry based on "Merry cemetery"
Get PDFVasyl Stus is the Ukrainian existential poet, who used aesthetic of surrealism and expressionism. This text presents surreal elements in the Vasyl Stus’s poems which are connected with the idea of hell. Author gives examples of different images of hell in European culture and literature and also analyzes the surrealist poems of Vasyl Stus from his book Merry Cemetery
Developing organizational frameworks to integrate AI technologies
No full textThis research aims to explore the obstacles organizations encounter when attempting to adopt Artificial Intelligence (AI) effectively, with a focus on psychological, organizational, and ethical challenges. The study seeks to propose strategies to minimize resistance, foster trust, and facilitate the seamless integration of AI technologies into business practices. Methodology. A qualitative approach was used, incorporating an extensive analysis of existing literature and real-world case studies to uncover the root causes of resistance to AI. The research emphasizes factors such as psychological apprehensions, organizational hurdles, and ethical dilemmas, while offering strategic frameworks and actionable recommendations to tackle these barriers. Findings. Psychological resistance arises from fears of job displacement and distrust in AI, while organizational challenges stem from misaligned objectives and deep-seated cultural norms. Ethical issues, such as bias, accountability, and data privacy concerns, further complicate widespread AI adoption. Recommended strategies include promoting transparency, aligning AI projects with organizational goals, establishing strong governance frameworks, and addressing ethical challenges to enhance implementation efforts. Practical Applications. The study provides actionable insights for business leaders and policymakers, such as fostering openness, investing in workforce training, and upholding ethical standards. These recommendations are essential for building trust and securing stakeholder buy-in. Original Contribution. This research introduces a novel framework to address resistance to AI by integrating psychological, organizational, and ethical perspectives. By combining theoretical insights with practical strategies, it empowers organizations to unlock the transformative potential of AI while adhering to societal and moral values
Clearing the path for AI integration in management
No full textThe study’s purpose is to investigate the challenges organizations face in successfully implementing Artificial Intelligence (AI), with a focus on psychological, organizational, and ethical barriers. Its goal is to propose strategies that reduce resistance, build trust, and enable the smooth integration of AI technologies into business operations. Methodology. The research is grounded in a thorough review of existing literature and real-world cases, using a qualitative approach to uncover the root causes of resistance. Key areas of focus include psychological fears, organizational misalignments, and ethical concerns. The study suggests strategic frameworks and best practices to address these barriers effectively. Results. The analysis highlights that psychological resistance stems from fears of job loss and mistrust of AI, while misaligned strategies and cultural inertia drive organizational resistance. Ethical issues, such as bias, accountability, and privacy violations, further complicate adoption. Strategies like promoting transparency, aligning AI with business objectives, establishing strong governance, and tackling ethical concerns can significantly mitigate these challenges and accelerate AI adoption. Practical Implications. The study provides actionable recommendations for business leaders and policymakers to address resistance to AI. Measures such as fostering transparency, providing training, and ensuring ethical compliance are essential for building stakeholder trust. Originality. This research presents a comprehensive framework for overcoming resistance to AI adoption, integrating psychological, organizational, and ethical perspectives. By bridging theory and practice, it offers innovative insights to help organizations harness AI's transformative potential while adhering to societal and ethical standards
Peculiarities of revealing artistic images in Vasyl Stefanyk's novels
No full textАвтором досліджено новелістика Василя Стефаника. Розкрито особливості розкриття художніх образів у творах митця. The author has researched the novels of Vasyl Stefanyk. The peculiarities of the disclosure of artistic images in the artist's works are revealed
Breaking through obstacles to AI selection in management
No full textThe study’s purpose is to investigate the challenges organizations face in successfully implementing Artificial Intelligence (AI), with a focus on psychological, organizational, and ethical barriers. Its goal is to propose strategies that reduce resistance, build trust, and enable the smooth integration of AI technologies into business operations. Methodology. The research is grounded in a thorough review of existing literature and real-world cases, using a qualitative approach to uncover the root causes of resistance. Key areas of focus include psychological fears, organizational misalignments, and ethical concerns. The study suggests strategic frameworks and best practices to address these barriers effectively. Results. The analysis highlights that psychological resistance stems from fears of job loss and mistrust of AI, while misaligned strategies and cultural inertia drive organizational resistance. Ethical issues, such as bias, accountability, and privacy violations, further complicate adoption. Strategies like promoting transparency, aligning AI with business objectives, establishing strong governance, and tackling ethical concerns can significantly mitigate these challenges and accelerate AI adoption. Practical Implications. The study provides actionable recommendations for business leaders and policymakers to address resistance to AI. Measures such as fostering transparency, providing training, and ensuring ethical compliance are essential for building stakeholder trust. Originality. This research presents a comprehensive framework for overcoming resistance to AI adoption, integrating psychological, organizational, and ethical perspectives. By bridging theory and practice, it offers innovative insights to help organizations harness AI's transformative potential while adhering to societal and ethical standards
Forming a strong foundation to integrate AI tools within the structure of an organization
No full textThis research explores the hurdles faced by organizations in successfully adopting Artificial Intelligence (AI), specifically emphasizing psychological, organizational, and ethical challenges. The objective is to devise strategies to mitigate resistance, foster trust, and enable smooth AI integration into business operations. Methodology. A qualitative methodology was adopted, incorporating a thorough review of academic literature alongside real-world case studies to uncover the underlying causes of resistance to AI adoption. The study explores psychological apprehensions, organizational constraints, and ethical dilemmas, offering strategic frameworks and practical solutions to tackle these issues. Findings. Resistance to AI often arises from psychological fears, such as job displacement and mistrust of AI systems, while organizational challenges typically involve conflicting priorities and deeply ingrained cultural practices. Ethical issues, including concerns about algorithmic bias, accountability, and data privacy, further complicate AI adoption efforts. The research recommends strategies such as increasing transparency, aligning AI initiatives with organizational goals, establishing strong governance protocols, and addressing ethical concerns to enhance adoption success. Practical Applications. The study provides actionable insights for business leaders and policymakers, including fostering open dialogues, investing in workforce upskilling, and ensuring adherence to ethical standards. These steps are crucial in building trust and securing broader support from stakeholders. Original Contribution. This research introduces an innovative framework that integrates psychological, organizational, and ethical perspectives to address resistance to AI adoption. By merging theoretical insights with practical solutions, the study equips organizations to harness the transformative potential of AI while upholding societal and ethical principles
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