D 2024

Analysis of the diffusion of ERP systems in the EU and US using ChatGPT technology and prediction of technological data stored in the ERP system of a manufacturing company using artificial neural networks

BARČÁK, Tomáš, Radim DOLÁK and Zdeněk FRANĚK

Basic information

Original name

Analysis of the diffusion of ERP systems in the EU and US using ChatGPT technology and prediction of technological data stored in the ERP system of a manufacturing company using artificial neural networks

Authors

Edition

Zilina, Globalization and its socio-economic consequences, 2024

Publisher

University of Zilina

Other information

Language

English

Type of outcome

Proceedings paper

Country of publisher

Slovakia

Confidentiality degree

is not subject to a state or trade secret

Publication form

electronic version available online

Organization unit

School of Business Administration in Karvina

Keywords in English

ERP system; Large Language Model; Neural networks; Production quality

Tags

Reviewed
Changed: 7/3/2025 13:03, Ing. Radim Dolák, Ph.D.

Abstract

V originále

This paper deals with the use of artificial intelligence, specifically artificial neural networks, to process statistical data from publicly available sources on the expansion of Enterprise Resource Planning (ERP) systems in the European Union and the United States of America. The processing of the obtained statistical data was implemented by the Large Language Model (LLM), which uses deep learning algorithms of artificial neural networks. For this analysis, the authors used ChatGPT 4.0 technology from OpenAI. The ChatGPT tool analyzed the available statistics, compared the trends in the implementation of ERP systems in both monitored regions and created a bar comparison chart for a clear display of the results.