Overcoming barriers to artificial intelligence adoption

dc.contributor.authorIvchyk, V. V.
dc.date.accessioned2025-02-06T09:05:56Z
dc.date.issued2024
dc.description.abstractThe purpose of this study is to explore the barriers to the successful implementation of Arti!cial Intelligence (AI) in organizations, focusing on psychological, organizational, and ethical challenges. The aim is to identify strategies to overcome resistance and foster trust, ensuring a seamless integration of AI technologies into business operations. Methodology. The research is based on a comprehensive review of existing literature and real-world examples. It employs a qualitative approach to analyze the root causes of resistance to AI adoption, emphasizing psychological fears, organizational misalignments, and ethical concerns. Strategic frameworks and best practices are proposed to address these challenges e"ectively. Results. The !ndings reveal that psychological resistance arises from fears of job displacement and mistrust in AI systems, while misaligned strategies and cultural inertia drive organizational resistance. Ethical concerns such as bias, accountability, and privacy violations exacerbate resistance. Strategies such as fostering transparency, aligning AI initiatives with business goals, implementing robust governance, and addressing ethical challenges can signi!cantly reduce resistance and enhance AI adoption. Practical Implications. The study provides actionable insights for business leaders and policymakers to mitigate resistance to AI implementation. By fostering transparency, o"ering training programs, and ensuring ethical compliance, organizations can build trust among stakeholders. Legal measures and stakeholder engagement are highlighted as critical components for long-term success in AI integration. Value / Originality. This research o"ers a holistic framework for addressing resistance to AI adoption, integrating psychological, organizational, and ethical dimensions. By bridging gaps between theory and practice, it provides unique insights to support organizations in leveraging AI’s transformative potential while ensuring alignment with societal and ethical values.
dc.identifier.citationIvchyk V. V. Overcoming barriers to artificial intelligence adoption [Electronic resourse] / Vasyl Ivchyk // Tree Seas Economic Journal. – Electronic text data. – 2024. – V. 5, No. 4. – P. 14-20. – URL: http://www.baltijapublishing.lv/index.php/threeseas/article/view/2620/2610, free (application data 06.02.2025.).
dc.identifier.doihttps://doi.org/10.30525/2661-5150/2024-4-3
dc.identifier.urihttps://repository.kpi.kharkov.ua/handle/KhPI-Press/85881
dc.language.isoen
dc.publisherLLC Publishing House "Baltija Publishing"
dc.subjectartifcial intelligence
dc.subjectdecision-making processes
dc.subjectresistance
dc.subjectdeep learning
dc.subjectbusiness management
dc.titleOvercoming barriers to artificial intelligence adoption
dc.typeArticle

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