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 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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Publication Details

Journal
The Annals of the University of Oradea Economic Sciences
Published
2024-12-31
DOI
https://doi.org/10.47535/1991auoes33(2)023
Citations
1
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
0.35
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article

ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE

Ștefana Pop, Ioana Ciofu, Giulia Kondort, Roxana Cioc
1 citations
The Annals of the University of Oradea Economic Sciences
Digital Transformation in Industry
0.35
article

ARTIFICIAL INTELLIGENCE IN BUSINESS OPERATIONS: EXPLORING PRODUCTIVITY AND ACCEPTANCE

Ștefana Pop, Ioana Ciofu, Giulia Kondort, Roxana Cioc
article en
1 citations

Abstract

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.

The Annals of the University of Oradea Economic Sciences
Bucharest University of Economic Studies (RO)
Decent work and economic growth
Openalex Percentile: Top 30%
Digital Transformation in Industry
0.35
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