IDEAS home Printed from https://ideas.repec.org/f/pzh984.html
   My authors  Follow this author

Zhelyo Zhelev

Personal Details

First Name:Zhelyo
Middle Name:
Last Name:Zhelev
Suffix:
RePEc Short-ID:pzh984
[This author has chosen not to make the email address public]

Affiliation

D. A. Tsenov Academy of Economics

Svishtov, Bulgaria
http://www.uni-svishtov.bg/
RePEc:edi:tsenobg (more details at EDIRC)

Research output

as
Jump to: Articles

Articles

  1. Kostova Silviya & Zhelev Zhelyo, 2024. "Application of Digital Tools Assessing Information Risk in the Control Activity," Naše gospodarstvo/Our economy, Sciendo, vol. 70(2), pages 24-31.
  2. Silviya Kostova & Zhelyo Zhelev, 2024. "Identifying money laundering risk indicators: Evidence from Bulgaria," Edelweiss Applied Science and Technology, Learning Gate, vol. 8(6), pages 2809-2816.
  3. Zhelyo Zhelev, 2024. "Application of AI to minimize information risk in tax control: Evidence from Bulgaria," Edelweiss Applied Science and Technology, Learning Gate, vol. 8(6), pages 5066-5074.
  4. Zhelyo Zhelev & Silviya Kostova, 2024. "Investigating the Application of Digital Tools for Information Management in Financial Control: Evidence from Bulgaria," JRFM, MDPI, vol. 17(4), pages 1-17, April.
  5. Aleksandrina Aleksandrova & Valentina Ninova & Zhelyo Zhelev, 2023. "A Survey on AI Implementation in Finance, (Cyber) Insurance and Financial Controlling," Risks, MDPI, vol. 11(5), pages 1-16, May.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

  1. Zhelyo Zhelev & Silviya Kostova, 2024. "Investigating the Application of Digital Tools for Information Management in Financial Control: Evidence from Bulgaria," JRFM, MDPI, vol. 17(4), pages 1-17, April.

    Cited by:

    1. Antonio Dichev & Silvia Zarkova & Petko Angelov, 2025. "Machine Learning as a Tool for Assessment and Management of Fraud Risk in Banking Transactions," JRFM, MDPI, vol. 18(3), pages 1-17, March.
    2. Maya Lambovska & Antoaneta Angelova-Stanimirova, 2025. "Unveiling Challenges to Management Control Systems in Higher Education: A Systematic Literature Review," World, MDPI, vol. 6(3), pages 1-18, July.

  2. Aleksandrina Aleksandrova & Valentina Ninova & Zhelyo Zhelev, 2023. "A Survey on AI Implementation in Finance, (Cyber) Insurance and Financial Controlling," Risks, MDPI, vol. 11(5), pages 1-16, May.

    Cited by:

    1. Ceray Aldemir & Tuğba Uçma Uysal, 2025. "Artificial Intelligence for Financial Accountability and Governance in the Public Sector: Strategic Opportunities and Challenges," Administrative Sciences, MDPI, vol. 15(2), pages 1-19, February.
    2. Nargis Mohapatra & Sameer Shekhar & Rubee Singh & Shahbaz Khan & Gilberto Santos & Sandro Carvalho, 2025. "Unveiling the Nexus Between Use of AI-Enabled Robo-Advisors, Behavioural Intention and Sustainable Investment Decisions Using PLS-SEM," Sustainability, MDPI, vol. 17(9), pages 1-21, April.

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Zhelyo Zhelev should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can 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.