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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| Format: | Article |
| Language: | deu |
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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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| _version_ | 1832590534740279296 |
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| author | Ioana CIOFU Giulia KONDORT Stefana POP Roxana CIOC |
| author_facet | Ioana CIOFU Giulia KONDORT Stefana POP Roxana CIOC |
| author_sort | Ioana CIOFU |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-5d8367c90d894b689ac4e6c6665ae6ca |
| institution | Kabale University |
| issn | 1222-569X 1582-5450 |
| language | deu |
| publishDate | 2024-12-01 |
| publisher | University of Oradea |
| record_format | Article |
| series | Annals of the University of Oradea: Economic Science |
| spelling | doaj-art-5d8367c90d894b689ac4e6c6665ae6ca2025-01-23T13:20:05ZdeuUniversity of OradeaAnnals of the University of Oradea: Economic Science1222-569X1582-54502024-12-0133226327410.47535/1991AUOES33(2)023ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCEIoana CIOFU0Giulia KONDORT1Stefana POP2Roxana CIOC3Bucharest University of Economic Studies, Romania Doctoral School of Business Administration IBucharest University of Economic Studies, Romania Doctoral School of Business Administration IBucharest University of Economic Studies, Romania Doctoral School of Business Administration IBucharest University of Economic Studies, Romania Doctoral School of Business Administration IThis 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.https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.23.pdfartificial intelligenceproductivityfailureproblem-solvingconsistencyprecision |
| spellingShingle | Ioana CIOFU Giulia KONDORT Stefana POP Roxana CIOC ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE Annals of the University of Oradea: Economic Science artificial intelligence productivity failure problem-solving consistency precision |
| title | ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE |
| title_full | ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE |
| title_fullStr | ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE |
| title_full_unstemmed | ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE |
| title_short | ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE |
| title_sort | artificial intelligence in business operations exploring productivity and acceptance |
| topic | artificial intelligence productivity failure problem-solving consistency precision |
| url | https://anale.steconomiceuoradea.ro/en/wp-content/uploads/2025/01/AUOES.December.2024.23.pdf |
| work_keys_str_mv | AT ioanaciofu artificialintelligenceinbusinessoperationsexploringproductivityandacceptance AT giuliakondort artificialintelligenceinbusinessoperationsexploringproductivityandacceptance AT stefanapop artificialintelligenceinbusinessoperationsexploringproductivityandacceptance AT roxanacioc artificialintelligenceinbusinessoperationsexploringproductivityandacceptance |