Purpose This paper aims to explore the underlying structure of wellness in upper-upscale and luxury hotels and the roles wellness attributes play in customer satisfaction and dissatisfaction. Design/methodology/approach This study uses a mixed methods approach consisting of content analysis and social media analytics. In Study 1, the authors integrate and review the structure of wellness attributes by conducting a literature review on prior research on wellness and analyzing websites of upper-upscale and luxury hotels. In Study 2, the authors implement text analytics and regression analysis to determine the roles of wellness attributes in customer satisfaction and dissatisfaction by examining the final data gathered from 141,973 reviews of 226 upper-upscale and luxury hotels in NYC. Findings This research introduces the underlying structure of wellness in the upper-upscale and luxury hotels. Findings demonstrate a significant relationship between wellness attributes and customer satisfaction/dissatisfaction. This study shows each wellness attribute’s specific roles in customer satisfaction and dissatisfaction through the Kano model. Research limitations/implications The current study extends the research on wellness by discovering the underlying structure of wellness in the upper-upscale and luxury hotels. Based on the Kano Model, the study reveals specific roles of wellness attributes regarding their dichotomous impact on customer satisfaction and dissatisfaction. The study makes a novel approach to the topic of wellness through a mixed methods approach consisted of content analysis and social media analytics. Analyzing online customer reviews derived from TripAdvisor.com, the study provides an in-depth insight and understanding of customers’ perceptions of wellness attributes. Practical implications The study guides hotel operators to perform wellness attributes by defining the unique roles of wellness attributes in customer satisfaction and dissatisfaction. Using the findings of the current study, hotel operators can prioritize wellness attributes regarding their core strategies and provide satisfying wellness attributes to customers. Originality/value Prior research merely focuses on hotels in wellness destinations or wellness-focused hotels with a lack of research on wellness offered in the general lodging industry. This research fills the gap by discovering the underlying wellness structure embedded in the general lodging industry, specifically in the upper-upscale and luxury hotels.

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This study aims to identify the critical hotel guest technology that enhances the hotel customer experience. By applying the two-factor theory, the study discovers the asymmetry impact of hotel guest technology on customer satisfaction and dissatisfaction. This study uses an integrated approach of big data analytics and impact asymmetry analysis on a dataset of 520,757 online reviews of 435 hotels in New York City derived from TripAdvisor.com. Big data analytics is implemented to identify significant attributes of hotel guest technology. Then, the five unique roles of hotel guest technology in customer satisfaction and/or dissatisfaction are identified through impact asymmetry analysis. The integrated approach reconciles inconsistent findings from prior research and guides hotel operators to prioritize hotel guest technology to increase customer experience.

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Purpose With the increasing importance of technology in hospitality and tourism, technology-driven service innovation has been a salient topic discussed from both customers’ and suppliers’ perspectives. However, there has been a lack of research that provides an overview of research on technology-driven service innovation. The purpose of this study is to review current discussions on technology-driven service innovation and provide directions for future studies in the hospitality and tourism literature. Design/methodology/approach A total of 82 articles on technology-driven service innovation were collected from top-tier hospitality and tourism journals. The papers were analyzed using content analysis to derive key topics discussed in the literature. Such discussions were made by different service innovation categories, antecedents, outcomes and theories. Future research agendas were suggested based on the research gap found in the literature. Findings The results indicate that prior discussions on technology-driven service innovation viewed technology as a service or service delivery method, with limited focus on management, marketing and institutional service innovation. In addition, the study reveals five key topics that need further discussion, such as cocreative technology, human resources management, strategy management, emerging technology and digital transformation. Research limitations/implications While there have been increasing studies that reveal determining roles of technology in service innovation, scarce research introduced the new concept of technology-driven service innovation, suggesting a comprehensive approach. By adopting the unique approach of technology-driven service innovation, the research reveals the multifaceted roles of technology in service innovation and areas that need further discussion to implement highly sustainable strategies. Originality/value The research adds to the knowledge of technology-driven service innovation by providing a holistic view of current discussions, finding research gaps and proposing future research agendas for extended discussion.