The rapid expansion of smart hotels in recent years has aroused researchers' interest in their competitiveness. While previous research has identified factors influencing the competitiveness of smart hotels, little effort has been devoted to understanding the specific competitive strengths and weaknesses of individual smart hotels. This study addresses the research gap by proposing a novel artificial intelligence framework that analyzes the competitive strengths and weaknesses of smart hotels based on online review data. The framework employs aspect-level sentiment analysis, outlying aspect mining, and theory of lodging to identify detailed competitive strengths and weaknesses of smart hotels from different perspectives. The effectiveness of the proposed framework is demonstrated through a case study of major smart hotels worldwide. The results extend the theory of lodging by incorporating new factors related to smart hotels and provide valuable insights that can help smart hotel practitioners develop strategies to enhance competitiveness at the firm, brand, and market levels.

中文翻译：

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根据在线评论发现智能酒店的竞争力


近年来，智能酒店的快速扩张引起了研究人员对其竞争力的兴趣。虽然以前的研究已经确定了影响智能酒店竞争力的因素，但很少有人致力于了解单个智能酒店的具体竞争优势和劣势。本研究通过提出一种新的人工智能框架来解决研究差距，该框架基于在线评论数据分析智能酒店的竞争优势和劣势。该框架采用方面层面的情感分析、外围方面挖掘和住宿理论，从不同角度确定智能酒店的详细竞争优势和劣势。通过对全球主要智能酒店的案例研究证明了所提出的框架的有效性。结果通过纳入与智能酒店相关的新因素扩展了住宿理论，并提供了有价值的见解，可以帮助智能酒店从业者制定战略以提高公司、品牌和市场层面的竞争力。