<Record><identifier xmlns="http://purl.org/dc/elements/1.1/">URN:NBN:SI:DOC-0JFRJPA1</identifier><date>2025</date><creator>Dimitrov, Georgi</creator><creator>Geß, Christian</creator><creator>Petrova, Pepa Vl</creator><relation>documents/doc/0/URN_NBN_SI_doc-0JFRJPA1_001.pdf</relation><relation>documents/doc/0/URN_NBN_SI_doc-0JFRJPA1_001.txt</relation><format format_type="volume">16</format><format format_type="issue">2</format><format format_type="type">article</format><format format_type="extent">Str. 1-18</format><identifier identifier_type="ISSN">1855-931X</identifier><identifier identifier_type="COBISSID_HOST">260265219</identifier><identifier identifier_type="URN">URN:NBN:SI:doc-0JFRJPA1</identifier><language>eng</language><publisher publisher_location="Ljubljana">GEA College</publisher><source>Advances in business related scientific research journal</source><rights>InC</rights><subject language_type_id="eng">Enterprise resource planning (ERP) systems</subject><subject language_type_id="eng">generative artificial intelligence (GenAI)</subject><subject language_type_id="eng">text classification</subject><title>New approach for classifying unstructured data to understand the influence of new technologies in future ERP development</title></Record>