
<ns0:uwmetadata xmlns:ns0="http://phaidra.univie.ac.at/XML/metadata/V1.0" xmlns:ns1="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0" xmlns:ns10="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0" xmlns:ns11="http://phaidra.univie.ac.at/XML/metadata/provenience/V1.0/entity" xmlns:ns12="http://phaidra.univie.ac.at/XML/metadata/digitalbook/V1.0" xmlns:ns13="http://phaidra.univie.ac.at/XML/metadata/etheses/V1.0" xmlns:ns2="http://phaidra.univie.ac.at/XML/metadata/extended/V1.0" xmlns:ns3="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/entity" xmlns:ns4="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/requirement" xmlns:ns5="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/educational" xmlns:ns6="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/annotation" xmlns:ns7="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/classification" xmlns:ns8="http://phaidra.univie.ac.at/XML/metadata/lom/V1.0/organization" xmlns:ns9="http://phaidra.univie.ac.at/XML/metadata/histkult/V1.0">
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    <ns1:title language="en">Impact of Digital Transformation on Financial Management of Small and Medium Enterprises</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract: This paper investigates the impact of digital transformation on managing finances in small
and medium-sized enterprises (SMEs). The aim of the research is to examine how innovative
technologies enabled by digital transformation can improve the efficiency and transparency of
financial management. By analyzing literature sources key tools and technologies that SMEs can
utilize have been identified. Particular focus is placed on artificial intelligence, machine learning,
big data analytics, and automated reporting, which enable more accurate decision-making, cost
reduction, and optimization of financial flows. The findings show that digital transformation can
significantly improve the financial performance of companies, increase profitability, and reduce
operational costs. The conclusion points out the importance of investing in digital technologies and
continuous employee education to fully realize the benefits of digital transformation for SMEs.
Further research is recommended to include larger samples and different industrial sectors to
further validate these findings and explore the long-term effects of digital transformation on
financial management.</ns1:description>
    <ns1:keyword language="en">Keywords: Digital transformation; financial management; artificial intelligence; machine learning; big data analytics.</ns1:keyword>
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      <ns2:resource>1552099</ns2:resource>
      <ns2:identifier>10.55817/RVEW4219</ns2:identifier>
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    <ns1:upload_date>2025-04-09T11:29:07.051Z</ns1:upload_date>
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    <ns2:peer_reviewed>yes</ns2:peer_reviewed>
    <ns1:contribute seq="0">
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      <ns1:entity seq="0">
        <ns3:firstname>Vitomir</ns3:firstname>
        <ns3:lastname>Tafra</ns3:lastname>
      </ns1:entity>
      <ns1:entity seq="1">
        <ns3:firstname>Jelena</ns3:firstname>
        <ns3:lastname>Vapa Tankosić</ns3:lastname>
        <ns3:type>person</ns3:type>
        <ns3:orcid>0000-0001-8062-1154</ns3:orcid>
      </ns1:entity>
      <ns1:date>2025</ns1:date>
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  <ns1:technical>
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    <ns1:location>https://unilib.phaidrabg.rs/o:7444</ns1:location>
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    <ns1:copyright>yes</ns1:copyright>
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    <ns8:approbation_period>2025</ns8:approbation_period>
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  <ns12:digitalbook>
    <ns12:name_magazine language="en">Journal of Agronomy, Technology and Engineering Management</ns12:name_magazine>
    <ns12:volume>8</ns12:volume>
    <ns12:booklet>1</ns12:booklet>
    <ns12:from_page>1405</ns12:from_page>
    <ns12:to_page>1410</ns12:to_page>
    <ns12:releaseyear>2025</ns12:releaseyear>
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