Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/127650
Title: Boosting work efficiency with AI : the impact of cutting-edge technologies on task performance
Authors: Tarasiuk, Gabriel
Keywords: Artificial intelligence -- Industrial applications
Performance standards
Labor productivity
Job satisfaction
Issue Date: 2024
Publisher: University of Piraeus. International Strategic Management Association
Citation: Tarasiuk, G. (2024). Boosting work efficiency with AI : the impact of cutting-edge technologies on task performance. European Research Studies Journal, 27(3), 365-374.
Abstract: PURPOSE: The article explores the optimization of work through Artificial Intelligence algorithms, highlighting the transformative impact of these technologies on task efficiency. It examines how AI is increasingly becoming an integral part of various industries, from automating mundane processes to providing advanced data analysis and trend prediction.
DESIGN/METHODOLOGY/APPROACH: Specific applications in sectors such as education, where AI generates personalized learning materials and tests, and medicine, where it assists in early disease detection, are discussed. The article also addresses the ethical and security challenges posed by AI, including the risks associated with deepfake technology and the potential erosion of human creativity and decision-making skills.
FINDINGS: The presented results support the hypothesis that AI is one of the most important factors leading to increased work efficiency. Investments in AI-based technologies can bring significant benefits to organizations by supporting employees in their professions.
PRACTICAL IMPLICATIONS: By analyzing both the advantages and the concerns, the article aims to provide a comprehensive overview of how AI can support and enhance human work, while also emphasizing the need for responsible and informed usage.
ORIGINALITY/VALUE: AI can impact all aspects of business operations, bringing benefits at many organizational and operational levels.
URI: https://www.um.edu.mt/library/oar/handle/123456789/127650
Appears in Collections:European Research Studies Journal, Volume 27, Issue 3

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