The Use of Artificial Intelligence (<scp>AI</scp>) in Talent Acquisition: The Case of Greek Luxury Hotels

ABSTRACT This study introduces a framework for the adoption of Artificial Intelligence (AI) driven technology to talent acquisition processes in luxury hotels. This qualitative study employed 23 semi‐structured interviews to explore the perceptions of professionals on AI in luxury hotels in Greece. The findings highlight the benefits of AI‐enabled technologies in talent acquisition, including speed, reliability and enhanced candidate communication, however, human interaction remains pivotal at critical stages. The model proposed includes six stages in the AI‐Talent Acquisition process, serving as a practical guide for practitioners and researchers. This study contributes to the AI‐HRM strategic change field by offering theoretical and practical insights. To the best of the authors' knowledge, it represents one of the initial empirical attempts to develop a comprehensive AI‐Talent Acquisition framework, providing valuable implications for ongoing research and implementation in this domain.

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Publication Details

Journal
Strategic Change
Published
2024-12-30
DOI
https://doi.org/10.1002/jsc.2632
Citations
4
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
1.39
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article

The Use of Artificial Intelligence (AI) in Talent Acquisition: The Case of Greek Luxury Hotels

Emmanouil F. Papavasileiou, Evangelia Marinakou, Charalampos Giousmpasoglou
4 citations
Strategic Change
AI in Service Interactions
1.39
article

The Use of Artificial Intelligence (AI) in Talent Acquisition: The Case of Greek Luxury Hotels

Emmanouil F. Papavasileiou, Evangelia Marinakou, Charalampos Giousmpasoglou
article en
4 citations

Abstract

ABSTRACT This study introduces a framework for the adoption of Artificial Intelligence (AI) driven technology to talent acquisition processes in luxury hotels. This qualitative study employed 23 semi‐structured interviews to explore the perceptions of professionals on AI in luxury hotels in Greece. The findings highlight the benefits of AI‐enabled technologies in talent acquisition, including speed, reliability and enhanced candidate communication, however, human interaction remains pivotal at critical stages. The model proposed includes six stages in the AI‐Talent Acquisition process, serving as a practical guide for practitioners and researchers. This study contributes to the AI‐HRM strategic change field by offering theoretical and practical insights. To the best of the authors' knowledge, it represents one of the initial empirical attempts to develop a comprehensive AI‐Talent Acquisition framework, providing valuable implications for ongoing research and implementation in this domain.

Strategic ChangeVol. 34(4)
Hellenic Mediterranean University (GR), Bournemouth University (GB)
Openalex Percentile: Top 15%
AI in Service Interactions
1.39
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The Use of Artificial Intelligence (<scp>AI</scp>) in Talent Acquisition: The Case of Greek Luxury Hotels — Emmanouil F. Papavasileiou, Evangelia Marinakou, et al. · Strategic Change (2024) | TGRS Research Map | TGRS