Purpose

Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains unclear. Grounded in Herzberg’s motivation theory and complexity theory, this study aims to explore configurational paths whereby combinations of qualities lead to success for different types of AI-themed hotels.

Design/methodology/approach

This study innovatively blends topic modeling and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configurational paths whereby combined qualities produce positive guest evaluations of 12 AI-themed hotels as evidenced by 7,431 customer reviews.

Findings

The results indicate that AI could serve as a “theme” to attract customers under certain circumstances. First, “attractive” and “must-be” qualities are first identified for different types of AI-themed hotels. Furthermore, 6, 15 and 15 configurational paths inspiring favorable guest evaluations of luxury-independent, budget-independent and chain AI-themed hotels, respectively. Technology-related qualities are found to be especially attractive for luxury-independent AI-themed hotels, whereas the role of technology is minimal for budget AI-themed hotels. The impact of technology is salient for chain AI-themed hotels when combined with other factors. In addition, the effect of price differs among the configurational paths for the three hotel types.

Research limitations/implications

This study expands the understanding of AI applications within the hospitality context by exploring the role of AI in AI-themed hotels and comparing its effectiveness in attracting customers across various hotel types. It also provides operational strategies for adopting AI for different types of hotels and for other hospitality and tourism sectors.

Originality/value

This study represents an early attempt to integrate topic modeling and fsQCA to clarify customers’ perceptions of AI-themed hotels and the combined impacts of various qualities. The findings expand on Kano’s model by classifying technology-related qualities into attractive qualities within AI-themed hotels.

中文翻译：

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是什么让 AI 主题酒店成功？来自连续研究设计的新证据

 目的

尽管人工智能 （AI） 是技术赋能时代酒店业的重要组成部分，但人工智能在这种情况下作为吸引力的有效性仍不清楚。本研究以 Herzberg 的动机理论和复杂性理论为基础，旨在探索配置路径，通过这些路径，品质组合会导致不同类型的 AI 主题酒店取得成功。

设计/方法/方法

本研究创新性地将主题建模和模糊集定性比较分析 （fsQCA） 相结合，以研究配置路径，其中综合质量对 12 家 AI 主题酒店产生积极的客人评价，7,431 条客户评论证明了这一点。

 发现

结果表明，在某些情况下，AI 可以作为吸引客户的 “主题”。首先，首先为不同类型的 AI 主题酒店确定“有吸引力”和“必须”的品质。此外，6、15 和 15 个配置路径分别激发了客人对豪华独立、预算独立和连锁 AI 主题酒店的好评。与技术相关的品质被发现对独立于 AI 的豪华酒店特别有吸引力，而技术对于经济型 AI 主题酒店的作用很小。与其他因素相结合，技术对连锁 AI 主题酒店的影响非常突出。此外，价格的影响在三种酒店类型的配置路径中也不同。

研究局限性/影响

本研究通过探索人工智能在人工智能主题酒店中的作用并比较其在吸引各种酒店类型客户方面的有效性，扩展了对人工智能在酒店环境中应用的理解。它还为不同类型的酒店以及其他酒店和旅游部门采用 AI 提供了运营策略。

 原创性/价值

这项研究代表了将主题建模和 fsQCA 相结合的早期尝试，以阐明客户对 AI 主题酒店的看法以及各种品质的综合影响。研究结果扩展了 Kano 的模型，将与技术相关的品质归类为 AI 主题酒店中的吸引人的品质。