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Generative artificial intelligence (GAI) offers important opportunities for the hospitality and tourism (HT) industry in the context of operations, design, marketing, destination management, human resources, revenue management, accounting and finance, strategic management, and beyond. However, the implementation of GAI in HT contexts comes with ethical, legal, social, and economic considerations that require careful reflection by HT firms. The purpose of this study is to offer a critical examination of the effects of GAI applications across a broad spectrum of stakeholders in the HT industry, in an effort to integrate practical and academic insights and foresights and drive academic research forward. Through the contributions of a purposeful selection of scholars, educators, and industry-practitioners, along the tenets of the stakeholder theory of the firm, this study highlights the potential challenges and opportunities of GAI and considers how academics can navigate the (research) complexities of this rapidly evolving technological phenomenon. [ABSTRACT FROM AUTHOR]

Purpose: This study aims to identify the causes of the academia-industry divide in hospitality marketing research in the form of the "Research Devaluation Map" and offers ideas for discussion points and suggestions for change. Design/methodology/approach: The conceptualization of the Research Devaluation Map was developed at an invitational thought-leadership conference. The authors were asked to produce a forward looking, critical reflection of hospitality marketing scholarship. The authors generated a preliminary idea and developed a methodology for its implementation. They then proposed a framework that explicated the divide between hospitality marketing research and industry practice and a list of discussion points regarding possible solutions. Findings: The issues currently challenging the hospitality research field are found to include the choice of research topics (the "what"), the methods used in research (the "how") and the systemic factors that shape the academic culture (the "systemic"). These three factors lead to a mutual devaluation of the academic–industry relationship in hospitality marketing, causing a schism between research and industry practice. Research limitations/implications: The Research Devaluation Map serves as a springboard for future research studies, providing a framework for naming and operationalizing the antecedents and results of the divide between hospitality marketing research and practice. Originality/value: This paper takes a holistic look at the gaps in current hospitality marketing research and puts forth a framework to explain the roots of these issues. While certain of these issues are known to both researchers and practitioners, the originality of this paper lies in the creation of the Research Devaluation Map that identifies the causes and results of the disconnect between research and practice. [ABSTRACT FROM AUTHOR]

When considering how hotels can facilitate aesthetics that offer restorative benefits to business and leisure travelers, extant research suggests natural environments serve as a refuge and that time spent in nature promotes well-being. Based on the tenets of Stress Recovery Theory (SRT), combined with the theoretical perspective of prospect-refuge, we examine, through a series of conjoint analyses, how combinations of biophilic design elements differ in the extent to which they are perceived to enhance guests' restoration, including relaxation, energy, and mind clarity. We further explore how these perceptions change based on higher and lower levels of individuals' longer-term states of anxiety and stress. Findings can be translated into practical applications, ensuring that the biophilic elements more closely aligned with restoration and psychological needs are prioritized in urban hotel building and interior design. [ABSTRACT FROM AUTHOR]

The nature of luxury experiences has been evolving, with the focus shifting from objective criteria of luxury to understanding customers' perceptions of luxury experiences. Moreover, in the context of an emerging homesharing sector, there remains a gap in our understanding of what comprises the luxury accommodation experience. The present study develops a model to capture the components and dynamics of the evolving nature of luxury in the accommodations industry. Consistent with our hypotheses, we find that authenticity serves as the primary antecedent of extraordinary experiences in the luxury accommodations industry. It leads to memorable accommodation experiences via the secondary antecedents of Pine and Gilmore's dimensions of the experience economy and the dimensions of "new luxury," including digital disconnection and ethical consumerism. Our findings are validated in a second, independent sample of luxury consumers, and have important theoretical and practical implications in the fields of hospitality, luxury, branding, and services management. [ABSTRACT FROM AUTHOR]

The purpose of this study is to critically review the effect of generative artificial intelligence (GAI) tools on higher education and research in the tourism and hospitality (TH) field. This manuscript identifies capabilities and implications of these GAI applications through a theoretical lens. GAI adoption in TH education can facilitate personalized learning experiences, enhance the technological competence of students, and foster a more diverse and inclusive learning environment. For academic research, GAI-enabled technologies may revolutionize data collection, analysis, and writing in a myriad of ways. However, there are multiple ethical and legal concerns associated with adoption that must be considered. At the end of this paper, we propose ten discussion questions aimed at stimulating conversation about adoption of GAI tools in TH education and research. [ABSTRACT FROM AUTHOR]

During the COVID-19 pandemic, many restaurants faced a shift from a dine-in based service model to a takeout-based model. As a result of the qualitative differences between dine-in and take-out experiences, there was a corresponding change in customers' electronic word of mouth (EWOM) behavior. While pre-pandemic EWOM behavior relied on dine-in specific factors such as décor, lighting, and employee interactions, take-out dining relies less on these types of atmospheric elements to drive post-consumption evaluations. Accordingly, the purpose of this research was to explore the drivers of take-out dining EWOM by examining the effects of altruism, self-enhancement, and restaurant affiliation. Using the psychological framework of Underdog Theory, the results showed that both self-enhancement and altruistic motives result in positive EWOM, but that this relationship was moderated in important ways based on whether the restaurant was independently owned or part of a chain. [ABSTRACT FROM AUTHOR]