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

Authors: Marinakou, E., Giousmpasoglou, C. and Papavasileiou, E.F.

Journal: Strategic Change

eISSN: 1099-1697

DOI: 10.1002/jsc.2632

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.

https://eprints.bournemouth.ac.uk/40678/

Source: Scopus

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

Authors: Marinakou, E., Giousmpasoglou, C. and Papavasileiou, E.F.

Journal: STRATEGIC CHANGE-BRIEFINGS IN ENTREPRENEURIAL FINANCE

eISSN: 1099-1697

ISSN: 1086-1718

DOI: 10.1002/jsc.2632

https://eprints.bournemouth.ac.uk/40678/

Source: Web of Science (Lite)

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

Authors: Marinakou, E., Giousmpasoglou, C. and Papavasileiou, E.

Journal: Strategic Change

Volume: 33

Issue: 6

Pages: 1-11

Publisher: Wiley-Blackwell

eISSN: 1099-1697

ISSN: 1086-1718

DOI: 10.1002/jsc.2632

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.

https://eprints.bournemouth.ac.uk/40678/

https://onlinelibrary.wiley.com/journal/10991697

Source: Manual

The use of artificial intelligence (AI) in talent acquisition: The case of Greek luxury hotels

Authors: Marinakou, E., Giousmpasoglou, C. and Papavasileiou, E.F.

Journal: Strategic Change

Publisher: Wiley-Blackwell

ISSN: 1086-1718

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.

https://eprints.bournemouth.ac.uk/40678/

Source: BURO EPrints