IDEAS home Printed from https://ideas.repec.org/h/evj/echapt/alma22-02.html

Trust and Adoption of AI in Business: Perceptions, Risks, and Solutions

In: Tanulmányok az információ- és tudásfolyamatokról 22. / Studies on Information and Knowledge Processes 22

Author

Listed:
  • Levente Szabados

    (Frankfurt School of Finance and Management)

  • Ádám Buza

    (Neuron Solutions Ltd.)

Abstract

Examines how trust influences business adoption of artificial intelligence using survey evidence from Central European professionals. It considers patterns of AI use, methods for evaluating reliability, and strategies for responsible deployment, emphasizing the role of trust-building assessment tools and regulatory frameworks.

Suggested Citation

Handle: RePEc:evj:echapt:alma22-02
DOI: 10.60030/ALMAMS.c202501uqxnyj
as

Download full text from publisher

File URL: https://infota.org/wp-content/uploads/2026/04/tanulmanyok-az-informacio-es-tudasfolyamatokrol-22-studies-on-information-and-knowledge-processes-22.pdf
Download Restriction: no

File URL: https://libkey.io/10.60030/ALMAMS.c202501uqxnyj?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;
;
;

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:evj:echapt:alma22-02. 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: Kiss Ferenc (email available below). General contact details of provider: https://infota.org/kiadvanyok/alma-mater/ .

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.