The Impact of improved information gathering processes on the organizational form and growth of insurers

<?xml version="1.0" encoding="UTF-8"?><modsCollection xmlns="http://www.loc.gov/mods/v3" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-8.xsd">
<mods version="3.8">
<titleInfo>
<nonSort xml:space="preserve">The  </nonSort>
<title>Impact of improved information gathering processes on the organizational form and growth of insurers</title>
</titleInfo>
<name type="personal" usage="primary" xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20100039779">
<namePart>Boyer, M. Martin</namePart>
<nameIdentifier>MAPA20100039779</nameIdentifier>
</name>
<typeOfResource>text</typeOfResource>
<originInfo>
<place>
<placeTerm type="code" authority="marccountry">can</placeTerm>
</place>
<dateIssued encoding="marc">2026</dateIssued>
<issuance>serial</issuance>
<frequency authority="marcfrequency">Annual</frequency>
</originInfo>
<language>
<languageTerm type="code" authority="iso639-2b">|en</languageTerm>
</language>
<physicalDescription>
<form authority="marcform">print</form>
</physicalDescription>
<abstract displayLabel="Summary">This paper examines how improved data analytics and information gathering processes affect the organizational structure and growth of insurance companies when information acquisition is costly. It explores the complexity of designing complete insurance contracts under correlated policyholder information and limited managerial abilities. The study shows that advances in information technology, such as artificial intelligence and deep learning, reduce the need for hierarchical layers, lower overhead costs, and enable insurers to increase size and scope. Theoretical models and examples illustrate how technology-driven efficiency can lead to flatter organizational structures and enhanced profitability.</abstract>
<note type="statement of responsibility">M. Martin Boyer</note>
<note>Internacional</note>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080568641">
<topic>Digitalización</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080611200">
<topic>Inteligencia artificial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20260030098">
<topic>Organización de la empresa de seguros</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080606091">
<topic>Estrategia empresarial</topic>
</subject>
<subject xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="MAPA20080617059">
<topic>Gestión de la información</topic>
</subject>
<classification authority="">216.1</classification>
<location>
<url displayLabel="electronic resource" usage="primary display">https://onlinelibrary.wiley.com/doi/10.1111/rmir.70039</url>
</location>
<relatedItem type="host">
<titleInfo>
<title>Risk management & insurance review</title>
</titleInfo>
<originInfo>
<publisher>Malden, MA : The American Risk and Insurance Association by Blackwell Publishing, 1999-</publisher>
</originInfo>
<identifier type="issn">1098-1616</identifier>
<identifier type="local">MAP20077001748</identifier>
<part>
<text>15/06/2026 Tomo 29 Número 2 - 2026 </text>
</part>
</relatedItem>
<recordInfo>
<recordContentSource authority="marcorg">MAP</recordContentSource>
<recordCreationDate encoding="marc">260727</recordCreationDate>
<recordChangeDate encoding="iso8601">20260731104950.0</recordChangeDate>
<recordIdentifier source="MAP">MAP20260044491</recordIdentifier>
<languageOfCataloging>
<languageTerm type="code" authority="iso639-2b">spa</languageTerm>
</languageOfCataloging>
</recordInfo>
</mods>
</modsCollection>