
<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">
  <ns1:general>
    <ns1:identifier>o:36288</ns1:identifier>
    <ns1:title language="en">An innovative approach to measuring development achievements</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">The world we live in is undergoing a profound social and planetary
transformation, accompanied by growing uncertainty. The escalation of climate
change risks as the greatest source of long-term concern123, along with economic
turbulence, stricter regulations, and technological accelerations, strongly
influences movements in the insurance sector, which is itself changing and
modernizing in line with the demands of the new era.
Key trends that will shape this sector include: the application of predictive AI
technologies, which in the context of insurance can be used to assess risks,
optimise policy prices, prevent fraud, and even personalise services for
customers; automation in the claims processing, i.e., the use of technology,
including artificial intelligence (AI) and robots, to automate various steps in the
insurance claims process; the affirmation of personalised insurance, i.e., the
creation of policies that are largely tailored to customers; the introduction of IoT
connected devices to collect data that can help reduce risks, optimise premiums,
or even speed up and make the claims process more efficient; the application of
telematics, which combines telecommunications and computer science to collect,
transmit, and analyse data (typically used in the automotive industry); the
appearance of emerging and unprecedented risks, which are unpredictable and
require new approaches in the insurance sphere.
Additionally, there is a very relevant trend of integrating sustainability and
Environmental, Social, and Governance - ESG criteria into the management of
insurance companies, which is seen as the only correct path.124 This trend is
closely linked to changes in the conceptualisation of development and the
measurement of development achievements, which are the focus of this research.</ns1:description>
    <ns1:keyword language="en">Key words: climate change, risks, AI, insurance</ns1:keyword>
    <ns2:identifiers>
      <ns2:resource>91552100</ns2:resource>
      <ns2:identifier>170344969</ns2:identifier>
    </ns2:identifiers>
    <ns2:identifiers>
      <ns2:resource>1552100</ns2:resource>
      <ns2:identifier>978-86-403-1879-2</ns2:identifier>
    </ns2:identifiers>
  </ns1:general>
  <ns1:lifecycle>
    <ns1:upload_date>2025-06-10T13:13:49.170Z</ns1:upload_date>
    <ns1:status>44</ns1:status>
    <ns2:peer_reviewed>no</ns2:peer_reviewed>
    <ns1:contribute seq="0">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Biljana</ns3:firstname>
        <ns3:lastname>Jovanović-Gavrilović</ns3:lastname>
        <ns3:conor>12396391</ns3:conor>
      </ns1:entity>
      <ns1:date>2025</ns1:date>
    </ns1:contribute>
    <ns1:contribute seq="1">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Mirjana</ns3:firstname>
        <ns3:lastname>Gligorić Matić</ns3:lastname>
        <ns3:institution>Univerzitet u Beogradu Ekonomski fakultet</ns3:institution>
        <ns3:conor>13833831</ns3:conor>
        <ns3:orcid>0000-0002-5443-3560</ns3:orcid>
      </ns1:entity>
      <ns1:date>2025</ns1:date>
    </ns1:contribute>
    <ns1:contribute seq="2">
      <ns1:role>46</ns1:role>
      <ns1:entity seq="0">
        <ns3:firstname>Velibor</ns3:firstname>
        <ns3:lastname>Jovanović Gavrilović</ns3:lastname>
        <ns3:conor>107555593</ns3:conor>
      </ns1:entity>
      <ns1:date>2025</ns1:date>
    </ns1:contribute>
  </ns1:lifecycle>
  <ns1:technical>
    <ns1:format>application/pdf</ns1:format>
    <ns1:size>653447</ns1:size>
    <ns1:location>https://phaidrabg.bg.ac.rs/o:36288</ns1:location>
  </ns1:technical>
  <ns1:rights>
    <ns1:cost>no</ns1:cost>
    <ns1:copyright>yes</ns1:copyright>
    <ns1:license>18</ns1:license>
  </ns1:rights>
  <ns1:classification>
    <ns1:purpose>70</ns1:purpose>
    <ns7:keyword language="en" seq="0">316.42</ns7:keyword>
  </ns1:classification>
  <ns1:organization>
    <ns8:hoschtyp>1556235</ns8:hoschtyp>
    <ns8:orgassignment>
      <ns8:faculty>11A03</ns8:faculty>
    </ns8:orgassignment>
  </ns1:organization>
  <ns12:digitalbook>
    <ns12:name_magazine language="sr">Innovations in insurance : from traditional to modern market</ns12:name_magazine>
    <ns12:from_page>95</ns12:from_page>
    <ns12:to_page>114</ns12:to_page>
    <ns12:publisherlocation>Belgrade</ns12:publisherlocation>
    <ns12:publisher>University of Belgrade, Faculty of economics and business, Publishing centre</ns12:publisher>
    <ns12:releaseyear>2025</ns12:releaseyear>
  </ns12:digitalbook>
</ns0:uwmetadata>
