Cyber risk cost and management in IoT devices-linked health insurance

<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd">
  <record>
    <leader>00000cab a2200000   4500</leader>
    <controlfield tag="001">MAP20200032892</controlfield>
    <controlfield tag="003">MAP</controlfield>
    <controlfield tag="005">20201020130855.0</controlfield>
    <controlfield tag="008">201015e20201001che|||p      |0|||b|eng d</controlfield>
    <datafield tag="040" ind1=" " ind2=" ">
      <subfield code="a">MAP</subfield>
      <subfield code="b">spa</subfield>
      <subfield code="d">MAP</subfield>
    </datafield>
    <datafield tag="084" ind1=" " ind2=" ">
      <subfield code="a">344.1</subfield>
    </datafield>
    <datafield tag="100" ind1=" " ind2=" ">
      <subfield code="0">MAPA20200020721</subfield>
      <subfield code="a">Leong, Yin-Yee</subfield>
    </datafield>
    <datafield tag="245" ind1="1" ind2="0">
      <subfield code="a">Cyber risk cost and management in IoT devices-linked health insurance </subfield>
      <subfield code="c">Yin-Yee Leong, Yen-Chih Chen</subfield>
    </datafield>
    <datafield tag="520" ind1=" " ind2=" ">
      <subfield code="a">Internet of things (IoT) devices lead to innovation trends in financial services. Real­world IoT applications certainly further the surge in new financial product design. In the insurance industry, companies can utilise data collected from all types of IoT­connected devices to more effectively determine prerniums and provide better insurance products, known as IoT insurance. However, this has a downside: insurance companies might underestimate the possible cyber risks involved in these IoT insurance products. This study examines the potential cyber risks arising from the application of IoT devices-linked insurance. We consider the cyber risks in insurance product valuation and estimate the possible increase in cyber risk cost as more data are sourced from IoT devices. Our results contribute to IoT devices-linked health insurance development and improvement in related cyber risk management.</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20150010735</subfield>
      <subfield code="a">Internet de las cosas</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080626310</subfield>
      <subfield code="a">Seguro de asistencia sanitaria</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20160007633</subfield>
      <subfield code="a">Ciberriesgos</subfield>
    </datafield>
    <datafield tag="650" ind1=" " ind2="4">
      <subfield code="0">MAPA20080591182</subfield>
      <subfield code="a">Gerencia de riesgos</subfield>
    </datafield>
    <datafield tag="700" ind1="1" ind2=" ">
      <subfield code="0">MAPA20200020820</subfield>
      <subfield code="a">Chen, Yen-Chih </subfield>
    </datafield>
    <datafield tag="773" ind1="0" ind2=" ">
      <subfield code="w">MAP20077100215</subfield>
      <subfield code="t">Geneva papers on risk and insurance : issues and practice</subfield>
      <subfield code="d">Geneva : The Geneva Association, 1976-</subfield>
      <subfield code="x">1018-5895</subfield>
      <subfield code="g">01/10/2020 Volumen 45 Número 4 - octubre 2020 , p. 737-759</subfield>
    </datafield>
  </record>
</collection>