... publication and authors. The full terms of this licence may be seen at Link to the terms of the CC BY 4.0 licence . SERVQUAL Service quality dimensions Online reviews BERT Machine learning To sustain a competitive advantage in strategic management, companies must align perceived value...

...Shihao Zhang; Chaohui Wang; Ziyang Xuan; Simeng Li Purpose This study adopts a data-driven analytical framework to examine homestay pricing, combining machine learning models with model-agnostic explanation tools. Compared with traditional hedonic pricing approaches, it provides complementary...

... as a leading machine learning application. Findings The results demonstrate a notable correlation between CE strategies, including redesign, production, reuse and recovery in hotels and HP. Additionally, the impact of Industry 4.0 performance on the relationship between CE and HP is facilitated by four...

...Nghia Nguyen; Thuy-Hien Nguyen; Yen-Nhi Nguyen; Dung Doan; Minh Nguyen; Van-Ho Nguyen Purpose The purpose of this paper is to expand and analyze deeply customer emotions, concretize the levels of positive or negative emotions with the aim of using machine learning methods, and build a model...

... by using a vast database of online data for deep insights into the visitor’s view and the use of machine learning for amplifying results. Dibya Nandan Mishra can be contacted at: dibyanandanmishra@gmail.com 15 06 2022 08 09 2022 20 10 2022 13 11 2022 08 12 2022 08 12...

... a hotel or a restaurant. Thus, the purpose of this study is to explore machine and deep learning models for predicting sentiment and rating from tourist reviews. Design/methodology/approach This paper used machine learning models such as Naïve Bayes, support vector machines (SVM), convolutional neural...

... and tourism industry. This paper develops a theory-based framework for systematically evaluating AI innovations in hospitality and tourism. Artificial intelligence Virtual reality Augmented reality Technology adoption Innovations diffusion Machine learning Deep learning Artificial...