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    <ns1:title language="en">Do AI and IoT really enhance workforce efficiency and talent acquisition in the travel industry? Or maybe not? Technologies</ns1:title>
    <ns1:language>en</ns1:language>
    <ns1:description language="en">Abstract:
The study applies a multiphase, multimethod research approach based on participatory
methodology. It integrates the perspectives of professionals from the tourism and hospitality
industry and academic experts with the aim of developing an integrated conceptual model of the influence of AI and IoT technologies on work processes, skill development, and job attractiveness in the industry. The research provides a comprehensive understanding
of how digital technologies indirectly shape employment through changes in work
organization and the development of transferable digital and socio-emotional skills. The paper aims to contribute to redefining the perception of work in tourism and hospitality by emphasizing the sector not only as a career choice, but also as a platform for acquiring skills transferable to other industries. The findings revealed that employees’ intentions to enter or remain in the industry are not directly influenced by AI and IoT technologies; rather, these effects are mediated through changes in work processes and, more importantly, through skill development. The study contributes theoretically by developing and empirically
validating an integrated conceptual model that connects technology implementation,
work transformation, skill development, and employment outcomes. From a practical
perspective, the results highlight the importance of humancentered implementation strategies based on training, communication, and employee inclusion in order to maximize the benefits of digital technologies.</ns1:description>
    <ns1:keyword language="en">Keywords: participatory methodology; AI; IoT; skill development; job attractiveness</ns1:keyword>
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      <ns2:identifier>2227-7080</ns2:identifier>
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      <ns2:identifier>10.3390/technologies14060354</ns2:identifier>
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    <ns1:upload_date>2026-09-29T08:52:26.906Z</ns1:upload_date>
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        <ns3:firstname>Evren</ns3:firstname>
        <ns3:lastname>Atis</ns3:lastname>
        <ns3:institution>Department of Geography, Faculty of Humanities and Social Sciences, Kastamonu University,Türkiye</ns3:institution>
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        <ns3:lastname>Vukolić</ns3:lastname>
        <ns3:institution>Faculty of Organizational Studies–EDUKA, University Business Academy in Novi Sad, Belgrade, Serbia; Faculty of Tourism and Hotel Management, University of Business Studies, Banja Luka, Bosnia and Herzegovina</ns3:institution>
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        <ns3:firstname>Marko D.</ns3:firstname>
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        <ns3:institution>Geographical Institute “Jovan Cviji´c”, Serbian Academy of Sciences and Arts, Belgrade, Serbia;Department of Regional Economics and Geography, Faculty of Economics, Peoples’ Friendship University of Russia (RUDN University), Moscow, Russia</ns3:institution>
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        <ns3:firstname>Lyailya M.</ns3:firstname>
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        <ns3:institution>Graduate School of Economics and Tourism, Eurasian National University (ENU), Astana, Kazakhstan</ns3:institution>
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    <ns12:name_magazine language="en">Technologies</ns12:name_magazine>
    <ns12:volume>14</ns12:volume>
    <ns12:booklet>6</ns12:booklet>
    <ns12:from_page>354 (1)</ns12:from_page>
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