Risk preparedness strategies in European tourism firms: a textual analysis of risk disclosures with machine-learning

Elshandidy, T, Wieczorek-Kosmala, M and Acheampong, A ORCID: https://orcid.org/0000-0002-9489-5751, 2025. Risk preparedness strategies in European tourism firms: a textual analysis of risk disclosures with machine-learning. Current Issues in Tourism. ISSN 1368-3500

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Abstract

Tourism firms are exposed to numerous risks, but our knowledge on how these firms are prepared for risk remains limited, which is a relevant gap in the existing risk-management-oriented studies in the tourism sector. This paper aims to add to this gap by exploring the existence of risk preparedness in European tourism firms, based on risk disclosures placed in annual statements. We employ machine learning to perform topic modelling and apply illustrative approaches while exploring tourism firms’ risk disclosures and narrations. The findings indicate a lack of disclosure regarding risk preparedness methods, despite visible discussions about risk exposures and some signs of board risk oversight. This research highlights the need to enhance communication and implement risk-preparedness strategies across European tourism firms. It provides significant insights for academics, practitioners and policymakers who aim to strengthen the industry's ability to withstand the negative impacts of risk while building risk resilience.

Item Type:	Journal article
Publication Title:	Current Issues in Tourism
Creators:	Elshandidy, T., Wieczorek-Kosmala, M. and Acheampong, A.
Publisher:	Routledge
Date:	6 September 2025
ISSN:	1368-3500
Identifiers:	Number Type 10.1080/13683500.2025.2551905 DOI 2512745 Other
Rights:	This is an Accepted Manuscript of an article published by Taylor & Francis in Current Issues in Tourism on 6 September 2025, available at: https://doi.org/10.1080/13683500.2025.2551905
Divisions:	Schools > Nottingham Business School
Record created by:	Jonathan Gallacher
Date Added:	14 Oct 2025 16:17
Last Modified:	14 Oct 2025 16:17
URI:	https://irep.ntu.ac.uk/id/eprint/54570

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