• ISSN: 2301-3567 (Print), 2972-3981 (Online)
    • Abbreviated Title: J. Econ. Bus. Manag.
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    • DOI: 10.18178/JOEBM
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HOME > Archive > 2024 > Volume 12 Number 3 (2024) >
JOEBM 2024 Vol.12(3): 332-337
DOI: 10.18178/joebm.2024.12.3.818

An Interaction of Observation and Artificial Intelligence Approaches—Motivations, Strategies and Tradition of B&B Operators in the Netherlands

Xingxin Gu 1 and Emily Ma2
1. College of Professional Studies, Northeastern University, Boston, USA
2. Department of Hospitality and Events, School of Hospitality and Tourism Management, University of Surrey, Guildford, UK
Email: gu.xingx@northeastern.edu (X.X.G.)
*Corresponding author

Manuscript received July 31, 2024; revised August 12, 2024; accepted August 25, 2024; published September 20, 2024.

Abstract—This study investigates the Dutch Bed and Breakfast (B&B) industry, focusing on operational philosophies and consumer preferences. Despite its importance, this area remains under-researched. Using firsthand data from in-depth interviews with Dutch B&B operators, online consumer reviews from Airbnb, and data-driven methodologies incorporating Artificial Intelligence (AI)-based models, we identify key factors that influence customer preferences, including location, hospitality and the quality and convenience of amenities, and their links to operators’ philosophies. The findings provide strategic recommendations to improve the operational effectiveness and competitiveness of Dutch B&Bs, offering practical insights for enhancing customer satisfaction and contributing to the broader tourism and hospitality industry.

Keywords—bed and breakfast, business management, in-depth interview, artificial intelligence, natural language processing, strategic recommendation

Cite: Xingxin Gu and Emily Ma, "An Interaction of Observation and Artificial Intelligence Approaches—Motivations, Strategies and Tradition of B&B Operators in the Netherlands," Journal of Economics, Business and Management, vol. 12, no. 3, pp. 332-337, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

 

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