<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-05-28T18:31:53Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/37468" metadataPrefix="marc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/37468</identifier><datestamp>2026-02-03T11:50:28Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37959</setSpec></header><metadata><record xmlns="http://www.loc.gov/MARC21/slim" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" 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">
   <leader>00925njm 22002777a 4500</leader>
   <datafield ind2=" " ind1=" " tag="042">
      <subfield code="a">dc</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Mena-Siles, David</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Gemar-Castillo, Germán</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Correia, Marisol B.</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="720">
      <subfield code="a">Rebelo, Sandra</subfield>
      <subfield code="e">author</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="260">
      <subfield code="c">2025-01-24</subfield>
   </datafield>
   <datafield ind2=" " ind1=" " tag="520">
      <subfield code="a">Introduction&#xd;
Survival analysis has evolved significantly, enhancing techniques and methods. Business survival is critical due to its economic and societal impacts. Insolvency prediction models act as valuable early warning systems (Branch, 2022).&#xd;
&#xd;
Literature&#xd;
Research has traditionally focused on financial ratios as predictors of failure, with recent studies considering external factors (Gemar et al., 2019). Despite progress, studies on tourism sector bankruptcy remain limited. Most focus on individual countries like Spain or Portugal, while joint analyses are rare (Vivel-Búa et al., 2019).&#xd;
&#xd;
Purpose&#xd;
This study examines time to failure and survival probabilities over fifteen years, predicting insolvency in tourist accommodation on the Iberian Peninsula. It identifies macroeconomic and management indicators that forecast bankruptcy.&#xd;
&#xd;
Methods&#xd;
The sample consists of 2,013 tourist accommodations (1,540 in Spain, 473 in Portugal) from 2008–2022, using ORBIS database data. The methodology combines Kaplan-Meier survival analysis with logistic regression and a complementary log-log link (Hosmer &amp; Lemeshow, 1999).&#xd;
&#xd;
Results&#xd;
Survival depends on factors such as manager gender, senior executives, corporate group membership, GDP, and CPI. Female management increases survival, while more executives and business group membership decrease it. Higher GDP enhances survival, whereas higher CPI reduces it. Financial factors, such as employee costs, payment periods, and solvency ratios, also play key roles.&#xd;
&#xd;
Implications&#xd;
This research provides governance tools to enhance business longevity. Monitoring these indicators acts as an early warning system to prevent insolvency. While focused on the Iberian Peninsula, findings are applicable to similar tourism contexts.&#xd;
&#xd;
Originality&#xd;
Few studies jointly explore accommodation survival in Spain and Portugal. This research uniquely examines underexplored management and macroeconomic variables.</subfield>
   </datafield>
   <datafield ind1="8" ind2=" " tag="024">
      <subfield code="a">https://hdl.handle.net/10630/37468</subfield>
   </datafield>
   <datafield tag="653" ind2=" " ind1=" ">
      <subfield code="a">Turismo</subfield>
   </datafield>
   <datafield ind2="0" ind1="0" tag="245">
      <subfield code="a">Predicting Bankruptcy in Tourist Accommodations: A Survival Analysis of Macroeconomics Indicators and Managerial Characteristics</subfield>
   </datafield>
</record>
</metadata></record></GetRecord></OAI-PMH>