Baobao Song , Haiyang Xia , Rob Law , Birgit Muskat , Gang Li
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引用次数: 0
Abstract
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.
期刊介绍:
The International Journal of Hospitality Management serves as a platform for discussing significant trends and advancements in various disciplines related to the hospitality industry. The publication covers a wide range of topics, including human resources management, consumer behavior and marketing, business forecasting and applied economics, operational management, strategic management, financial management, planning and design, information technology and e-commerce, training and development, technological developments, and national and international legislation.
In addition to covering these topics, the journal features research papers, state-of-the-art reviews, and analyses of business practices within the hospitality industry. It aims to provide readers with valuable insights and knowledge in order to advance research and improve practices in the field.
The journal is also indexed and abstracted in various databases, including the Journal of Travel Research, PIRA, Academic Journal Guide, Documentation Touristique, Leisure, Recreation and Tourism Abstracts, Lodging and Restaurant Index, Scopus, CIRET, and the Social Sciences Citation Index. This ensures that the journal's content is widely accessible and discoverable by researchers and practitioners in the hospitality field.