Innovative Applications in Businesses: An Evaluation on Generative Artificial Intelligence
The utilisation of Chat Generative Pre-Trained Transformer (ChatGPT) and generative artificial intelligence (GenAI) technologies has started to demonstrate its impact across several domains. The swift shift and widespread implementation of efficient artificial intelligence (AI) present distinct p...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Editura ASE
2024-05-01
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| Series: | Amfiteatru Economic |
| Subjects: | |
| Online Access: | https://www.amfiteatrueconomic.ro/temp/Article_3320.pdf |
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| Summary: | The utilisation of Chat Generative Pre-Trained Transformer (ChatGPT) and generative
artificial intelligence (GenAI) technologies has started to demonstrate its impact across
several domains. The swift shift and widespread implementation of efficient artificial
intelligence (AI) present distinct prospects such as optimisation, advancement, enhanced
efficiency, boosted sales and marketing, expansion, reduced costs, and heightened
profitability. GenAI has the potential to create a competition crisis between technologically
advanced enterprises and less developed ones. Additionally, it may give rise to legal, moral,
and ethical issues such as copyright infringement and the production of fake and false
information. Hence, it is crucial for organisations to ensure that the productivity of AI is
maximized in order to maximise its benefits and minimise any potential harm. The aim of
this study is to provide suggestions regarding the use and potential of GenAI technologies in
the corporate sector and to emphasise the potential research areas of future GenAI. This study
contributes to research and practice in business and management and also identifies future
research avenues. This study examines the benefits and disadvantages of using GenAI tools
in businesses and individual departments, and it highlights the potential risks and dangers. A
bibliometric analysis of 198 studies in the discipline of Business & Management from the
Scopus database was conducted using the R program’s bibliometrix package. The study
focuses on descriptive data, annual scientific production, most productive journals, most
productive authors and authors dominance factor, most cited publications, and most relevant
keywords. The findings show that GenAI is likely to continue with a strong and rapidly rising
trend in 2024 and beyond |
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| ISSN: | 1582-9146 2247-9104 |