IDEAS home Printed from https://ideas.repec.org/a/aio/aucsse/v1y2021i49p5-12.html
   My bibliography  Save this article

The Impact Of Artificial Intelligence Usage In Business

Author

Listed:
  • Sabin – Alexandru Babeanu

    (The University of Bucharest, Bucharest, Romania)

  • Viorel - Costin Banta

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Management Information Systems Department,Bucharest, Romania)

  • Cristian Dragos Turcan

    (The Bucharest University of Economic Studies, Bucharest, Romania)

Abstract

The main objective of this paper is to study the impact of artificial intelligence (AI) in business, both by using automated tools to provide decision support for companies and their customers, and the presentation of the finished product in a digital environment. New methods of approaching the customer will appear after the transition to automated tools, and these methods require a detailed predictive analysis, because the result will be customer satisfaction in the first place, which will increase the company's profit. Customers will have unlimited time to search for offers, because digital promotions require the existence of details on the Internet, regardless of the consultation period. Therefore, the client will have access to a permanent, comparative consultancy, this being a new marketing strategy, which will ensure a better promotion of a product or service.

Suggested Citation

  • Sabin – Alexandru Babeanu & Viorel - Costin Banta & Cristian Dragos Turcan, 2021. "The Impact Of Artificial Intelligence Usage In Business," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(49), pages 5-12, August.
    • Handle: RePEc:aio:aucsse:v:1:y:2021:i:49:p:5-12
    as

    Download full text from publisher

    File URL: http://feaa.ucv.ro/annals/v1_2021/001.pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ayodeji Emmanuel Oke & Ahmed Farouk Kineber & Mohamed Elseknidy & Fakunle Samuel Kayode, 2023. "Radio frequency identification implementation model for sustainable development: A structural equation modeling approach," Sustainable Development, John Wiley & Sons, Ltd., vol. 31(3), pages 1824-1844, June.

    More about this item

    Keywords

    AI - Artificial Intelligence; Big Data; Business Intelligence; Marketing; Predictive analysis;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • M21 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Economics - - - Business Economics
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:aio:aucsse:v:1:y:2021:i:49:p:5-12. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Anca Bandoi (email available below). General contact details of provider: https://edirc.repec.org/data/fecraro.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.