ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE
This paper will provide information on the impact of AI in daily life and work-related activities.Today, AI functionalities could nowadays transform businesses, playing a critical role in enhancing and improving decisions. From virtual assistants to automation tools, AI covers a great amount of i...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | deu |
| Published: |
University of Oradea
2024-12-01
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| Series: | Annals of the University of Oradea: Economic Science |
| Subjects: | |
| Online Access: | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.23.pdf |
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| Summary: | This paper will provide information on the impact of AI in daily life and
work-related activities.Today, AI functionalities could nowadays transform
businesses, playing a critical role in enhancing and improving decisions. From virtual
assistants to automation tools, AI covers a great amount of information, which could
impact the core. In this paper, the productivity and sense of failure of AI will be paper.
The productivity of AI, such as, varies by tasks and industry. AI could excel in
repetitive and high-precision tasks. On the other hand, humans outperform AI in
tasks requiring creativity and emotional intelligence. This qualitative study will show
the perception of integrating AI into workflows and asking questions about value
added. To evaluate the impact of artificial intelligence (AI) on business operations,
an online survey was conducted to examine perceptions of AI's efficiency,
adaptability, and fault tolerance.The analysis revealed generational differences in
acceptance and trust towards AI. Younger respondents, particularly those under 25,
were found to have greater tolerance for AI errors and a greater willingness to
integrate AI into workflows. This is likely to reflect their familiarity with technology. In
contrast, older respondents exhibited lower levels of trust and acceptance,
particularly in contexts requiring precision, such as financial transactions. The results
suggest that while AI is perceived as highly effective in repetitive and data-intensive
tasks, its limitations in adaptability and emotional intelligence remain a concern. The
findings emohasize the need for reskilling initiatives to facilitate workforce transitions
and the development of ethical guidelines to address trust and reliability issues. |
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| ISSN: | 1222-569X 1582-5450 |