<?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>2026-06-04T20:40:13Z</responseDate><request verb="GetRecord" identifier="oai:riuma.uma.es:10630/46766" metadataPrefix="qdc">https://riuma.uma.es/rest/oai/request</request><GetRecord><record><header><identifier>oai:riuma.uma.es:10630/46766</identifier><datestamp>2026-06-01T23:45:41Z</datestamp><setSpec>com_10630_2254</setSpec><setSpec>col_10630_37956</setSpec></header><metadata><qdc:qualifieddc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:doc="http://www.lyncode.com/xoai" xmlns:qdc="http://dspace.org/qualifieddc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://purl.org/dc/elements/1.1/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dc.xsd http://purl.org/dc/terms/ http://dublincore.org/schemas/xmls/qdc/2006/01/06/dcterms.xsd http://dspace.org/qualifieddc/ http://www.ukoln.ac.uk/metadata/dcmi/xmlschema/qualifieddc.xsd">
   <dc:title>Assessing the impact of artificial intelligence on translation project management competences: an exploratory study</dc:title>
   <dc:creator>Fuentes-Pérez, Irene</dc:creator>
   <dc:creator>Plaza-Lara, Cristina</dc:creator>
   <dc:contributor>Petrova, Alena</dc:contributor>
   <dc:contributor>Prandi, Bianca</dc:contributor>
   <dc:contributor>Schmidhofer, Astrid</dc:contributor>
   <dc:subject>Inteligencia artificial</dc:subject>
   <dc:subject>Traducción automática</dc:subject>
   <dcterms:abstract>The advent of generative artificial intelligence (GenAI) is significantly transforming the landscape of translation project management (TPM), presenting both challenges and opportunities for professionals in this field. In response to this evolving scenario, this chapter proposes an empirical study based on interviews with practising Spanish-speaking project managers (PMs) to elucidate the multifaceted impact of artificial intelligence (AI) on the competences of translation PMs. The participants, representing diverse professional backgrounds and organisational contexts, provided insights into their use of AI tools, levels of AI adoption, and training approaches. Using semi-structured interviews, the data gathered have been analysed qualitatively with ATLAS.ti for content analysis purposes, revealing how AI technologies are reshaping daily practices and necessitating new competences in areas such as workflow optimisation, decision-making, and technical proficiency. The findings highlight the dynamic nature of competences in TPM and underscore the need for continuous learning and adaptation to meet the demands of a rapidly evolving industry. By identifying essential AI-related competences and offering guidance for adapting training programmes for future professionals, this study contributes to a deeper understanding of how AI integration is redefining the role of PMs within translation studies and practice.</dcterms:abstract>
   <dcterms:issued>2026-05</dcterms:issued>
   <dc:type>book part</dc:type>
   <dc:identifier>Fuentes-Pérez, I. &amp; Plaza-Lara, C. (2026). Assessing the impact of artificial intelligence on translation project management competences: an exploratory study. En A. Petrova, B. Prandi &amp; A. Schmidhofer (eds.), Der Einfluss neuer Technologien auf die Ausbildung von Translatoren / The Influence of New Technologies on Translator and Interpreter Education (pp. 265-286). Peter Lang.</dc:identifier>
   <dc:identifier>9783631917756</dc:identifier>
   <dc:identifier>https://hdl.handle.net/10630/46766</dc:identifier>
   <dc:identifier>10.3726/b21748</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:relation>"App para entrenar en posedición de traducción automática neuronal mediante la gamificación en entornos profesionales” (GAMETRAPP; ref. TED2021-129789B-I00), funded by MCIN/AEI/10.13039/501100011033 and the European Union “NextGenerationEU/PRTR”;nar en posedición de traducción</dc:relation>
   <dc:relation>“Register Variation in Machine Translation: A Multidimensional Analysis of a Corpus from the Third Social Sector” (PID2024-157849OB-I00), funded by MICIU/AEI/10.13039/501100011033/FEDER, European Union.</dc:relation>
   <dc:rights>embargoed access</dc:rights>
   <dc:publisher>Peter Lang</dc:publisher>
</qdc:qualifieddc>
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