Grounded in the Stimulus-Organism-Response (S-O-R) framework, this study investigates the impact of Generative Artificial Intelligence (GenAI) adoption on brand authenticity, brand image, and self-brand congruity and their subsequent effects on consumer behavior, including electronic word-of-mouth (e-WOM) and behavioral intention, within the restaurant industry. A scenario-based experimental design

This study aims to develop a health benefit promotion model for edible insect food targeting older consumers, using a mixed-methods design. Drawing on the holistic and individualistic theory of health and the AIDA model, the quantitative findings reveal that health consciousness drives health interest, which enhances perceived healthiness and subsequently influences purchase intention and willingness

The purpose of this study is twofold: (1) to examine the extent to which the degree of professionalization affects Airbnb hosts’ listing performance, and (2) to investigate the extent to which geographical distance and geographical diversification affect the relationship between professionalization and listing performance of Airbnb hosts. Based on the postulations of the resource-based view and the

The objective of this study is to analyze the effects of openness in specialized search and digital transformation maturity on sustainability. In this context, the moderating role of organizational identity orientation and enabling controls is explored. To collect the data used in this research, a questionnaire was administered to small and medium-sized hotels in Brazil. The data collected from 190

This study provides an updated overview of review studies in Hospitality and Tourism (H&T), focusing on recent thematic interests and shifts in methods, topics, and future research. It conducts a systematic Review of Reviews (ROR), selecting review articles published between 2017 and 2023. Following PRISMA guidelines, the study employs bibliometric analysis and thematic mapping across 230 review studies

In the hospitality industry, hotel managers have widely considered online customer reviews because they play an essential role in influencing the decisions of potential travelers and improving hotel performance. The purpose of this research is to identify the variables that influence the decisions of hotel customers and to perceptual map brands using the web mining method.

This study aims to explore the obstacles faced by families with children with Autism Spectrum Disorder (ASD) when dining out and to provide suggestions for service strategies that restaurants can implement to serve them better. We conducted in-depth interviews with 12 parents of children with ASD to identify challenges when dining out and negotiation strategies for addressing these challenges. Multiple

This study analyzes the effect of tourism-related life-enhancing motivations and tourism-related constraints on seniors’ life satisfaction after a visit to a spa. Drawing on expectancy-value, leisure constraints, and social comparison theories, the empirical application conducted in the thermal tourism context finds that tourism-related constraints have no effect on life satisfaction and that tourism-related

This study examines consumer evaluations of robotic service failures caused by human interference by integrating service context, robot appearance, and individual anthropomorphism tendencies into a unified model. Two between-subjects experiments were conducted. In Study 1 (N = 402), participants interacted with a healthcare or food-service bot that failed due to verbal interference. Healthcare service

This study analyzes the impact of job openings in the overall economy on the performance of hospitality and tourism firms. By using interlinkages theory, the results show that the availability of jobs in the overall economy negatively impacts hospitality and tourism. This effect is pronounced for the hotel and restaurant subsector, while absent for airlines. Apart from critical managerial implications

The dynamic nature of global consumer behaviour has positioned masstige brands as vital players in contemporary markets, warranting rigorous examination. This research advances our understanding of the interplay between culture and consumer interactions with masstige brands, particularly within the hospitality sector. By employing expectancy value theory, the study elucidates the roles of brand identification

This review examines the topic of ChatGPT in tourism and hospitality research. With their emphasis on dynamic customer interactions, the tourism and hospitality sectors are increasingly incorporating Artificial Intelligence (AI) technologies into their service delivery and operations. Meanwhile, the impact of AI on research and education within these fields has become a focus of academic interest.

This paper aims to further understand willingness to sacrifice and willingness to pay a higher price for booking a hotel with environmental practices. We examine the acceptance of individual sacrifices (without compensation) versus shared sacrifices between hotel-client (with compensation), and we shed light on effective compensatory methods. The research comprises three studies: a questionnaire to

This study examines the impact of vehicle automation and onboard activities on travel mode preferences based on a stated choice experiment conducted among 696 visitors to US national parks. Several multinomial and mixed logit models were estimated to analyze preferences for human-driven vehicles (HV), autonomous vehicles (AV), and AVs with work and leisure interiors (AV-WL), and to calculate the associated

This study examines how consumers make decisions when selecting restaurants online. It introduces a framework that categorizes decision-makers into four distinct styles - quick experts, hasty amateurs, casual novices, and relaxed professionals – based on their prior dining experience and time spent on the selection task. Through clickstream analysis of 282 participants using Yelp, we employed an algorithmic

Based on the Conservation of resources theory (COR), the purpose of this study was to analyze the correlation between legal awareness (LA), organizational trust (OT), and job satisfaction (JS) of hotel employees in Türkiye. Legal awareness was measured in four categories (Union-collective bargaining law (UCBL), Social insurance and general health insurance law (SIGHIL), Labour law (LL), and Occupational

In the era of big data, hotel booking platforms are inundated with an overwhelming volume of consumer reviews, which hinders review users from identifying valuable reviews. This study examines how review tags—a simple yet powerful heuristic—highlight valuable reviews and influence potential consumers and hotel managers. Using a dataset of 190,939 consumer reviews, we find that tagged reviews are more

Despite efforts to implement sustainable practices, customer resistance and accusations of greenwashing pose significant challenges, which are compounded by the abstract nature of climate change making it difficult for people to comprehend its urgency and immediate impact. This study investigates how emotional responses to climate change influence travelers' pro-environmental behaviors. We examined

The growth of Airbnb has given rise to changes in tourist behavior and tourism-related industries. However, research on domestic tourism demand (DTD) for Airbnb supply has been limited. Thus, this study uses the autoregressive distributed lag model and Granger causality analysis based on the tourism demand theory to investigate the relationship between Airbnb supply and DTD. Expenditure on tourism-related

Shared micromobility has established its role as a viable solution for sustainable transportation worldwide. Despite the widespread discourse on bike-sharing, there remains a paucity of research addressing its utilization among older adults (aged 65 and over). To this end, this research delves into the analysis of docked bike-sharing trip records in Chicago, aiming to understand the impact of land

Despite the assumed link between tourism and creativity, research remains limited, and findings are inconsistent. This study draws on trait activation theory and broaden-and-build theory of positive emotions to propose a theoretical model that explores how environmental novelty influences tourist creativity. We argue that environmental novelty evokes interest, fostering cognitive flexibility and enhancing

This study connects tourism attractions and community resilience through rewilding at a landscape scale using ecological systems theory. The study identifies proximal and distal factors that influence how the tourism development and rewilding phenomenon impacts community resilience in nature-based tourism destinations. Data for this study were collected through secondary data analysis and in-depth

Depression poses a significant global health challenge, affecting a substantial portion of the population. The use of virtual tourism has the potential to assist individuals with mental disorders. This research adopts the conceptual framework derived from self-determination theory. In particular, this study employs a combination of single-blind, partial crossover, three-group, and two-stage randomized

With the increasingly crucial role played by electronic word-of-mouth, online reviews have become an indispensable informational element for multiple stakeholders in the competitive tourism market. However, the rapid development of generative artificial intelligence (GAI) has not only threatened the unique position of humans as the sole producers of reviews but also broken new ground in the covertness

Recognizing the growing use of artificial intelligence (AI) in human resource management, this research aimed to investigate the impact of AI’s involvement in HR operations on employee reactions. Study 1 examined the positive impact of AI’s involvement in HR operations on turnover intention, mediated by organizational dehumanization in the promotion decision context. In the performance evaluation context

Accurately quantifying urban human mobility is crucial for tackling challenges in traffic engineering, urban planning and public health. Traditional static gravity models (GModel) often fail to address spatial heterogeneity and non-linear relationships in mobility flows, particularly in complex urban regions with new towns and metropolitan areas. This study investigates mobility flows in the Wuhan

With service robots becoming an integral part of service encounters in the tourism and hospitality industry, understanding their role in proactive recovery after service failures is crucial. This study investigates the impact of service robot proactive recovery (vs. reactive recovery) on customer forgiveness, examining the mediating mechanisms and boundary conditions. Four experiments reveal that,

Artificial intelligence (AI) is currently involved in tourists' pre-trip and during-trip activities and serving as a tour guide. This is a critical but understudied topic in the tourism field. Therefore, this study adopted a mixed-methods approach to develop the scale of AI-Guide impact perception. The qualitative research, which included 26 interviews, found that professional tour guides assess the

This paper examines hotels’ use of niche daily deal websites (flash sales) through the lens of external, destination characteristics, aiming to establish relationships between the two. Extant research indicates that both internal and external factors influence the decision-making processes of hotel businesses, yet, to date, this popular practice has been examined only from an internal business perspective

Scholarship on the concept of tourist well-being has experienced significant growth. Despite this, studies have predominantly explored the hedonic aspects of well-being, leaving eudaimonic dimensions underexplored and conceptually underdeveloped. Consequently, this research seeks to explore the underlying dimensions of eudaimonic well-being which emerge from international study tourism experiences

Older adults’ living environments are instrumental in making walking part of their daily lives, as we strive to promote healthy aging. Objective measures, such as WalkScore®, and subjective measures of walkability provide means to grasp the factors that enable or hinder frequent and enjoyable walking. However, there is limited consensus on what factors contribute to mismatch between perceptions of

This study aims to examine the definition and types of greenwashing in the hospitality industry from the perspective of employees. It uses qualitative research methods involving multi-stage data collection. Two waves of data—with 51 employees in the first wave and 44 in the second—were collected through open-ended essays from employees in the UK and USA. Through thematic analysis, two aggregate themes

Social presence has emerged as a critical factor in explaining behavioral responses within hospitality and tourism services. Despite substantial research, the mechanisms linking social presence to behavior remain unclear, particularly in technology-mediated communications. This study addresses this gap through a theory-driven meta-analytic review applying the Heuristic-Systematic Model (HSM). We examine

This study constructs a theoretical framework incorporating “theatrical elements (stimuli) - cognitive experience - emotional experience”, aiming to explore the antecedents and consequences of museum visitors' experience. Based on qualitative analysis, the current research conceptualizes the museum as a large-scale performance arena and analyses the immersive experience scenarios in terms of actors

This paper examines the effect of inbound tourism on inclusive growth and whether the effect is moderated by countries' democratic institutions. Using data from 154 countries from 2000 to 2020 and the dynamic generalized method of moments estimator, we found that inbound tourism (tourism arrival, receipt, and expenditure) is positively related to inclusive growth. Also, democracy is found to have a

Shared e-scooters are increasingly recognised as a sustainable travel mode for tackling urban transportation challenges, including congestion and air pollution. Their early adoption in U.S. cities, followed by expansion across Europe and ongoing trials in the UK, underscores the need to understand key factors for the scheme’s success and development, particularly regarding the acceptance and retention

Previous studies on measuring transit accessibility under travel time uncertainty often introduced complex measures based on non-standard data formats, hindering reproducibility and replicability in research and planning. To address this, we present a practical framework that leverages a standardized format for real-time transit data: Realtime General Transit Feed Specification (GTFS), to generate

This study integrates the Kaleidoscope Career Model (KCM) and Resource-Based Theory (RBT) to examine the interplay between individual career decisions and industry expectations in the hospitality sector. It introduces an integrative model for sustainable workforce development. Addressing labour shortages and skills gaps, the study advocates for industry-education collaboration as a long-term solution

This study employs spatial analysis to thoroughly examine the spatial distribution of shared accommodations within urban locales and their impact on the housing market. Specifically, it explores the multifaceted influence of shared accommodations on three distinct segments of the lodging market: long-term rentals, residential housing, and star hotels. The results unveil a noteworthy and affirmative

Ride-hailing has become an important part of the urban mobility landscape. The main contribution of this study is to estimate how travellers perceive time when using ride-hailing compared to using conventional public transport, to better understand ride-hailing mode choice. We combine two unique datasets containing actual, individual passenger behaviour for the Washington DC area from October 2018:

By developing a price competition model with differentiated products, where artificial intelligence (AI) adoption influences service differentiation and pricing strategies, this study investigates how AI affects hospitality firm profit by accounting for both the positive and negative effects of AI on demand and productivity. Based on the Nash Equilibrium with optimal strategies, the theoretical model

In the realm of digital consumer behavior, there is a growing interest in audio content marketing, which has significant implications for the tourism industry. Destination marketing is pivotal in shaping a destination's image, making it essential to understand the role of tourism podcasts in marketing efforts. The purpose of this study is to examine the impact of podcasts operated by destination marketing

This study examines factors affecting the willingness to build resilience within the tourism industry during the last wave of COVID-19. Entrepreneurial orientation (EO) is shown as a catalyst for the willingness to build resilience, with firm performance and fear of crisis playing mediating and moderating roles, respectively. We treat resilience as a multidimensional concept that encompasses elements

Urban landscape plays a crucial role in reshaping the activity and mobility pattern of citizens. Studies have explored the relationships between the built environment, socio-economic, transport infrastructure, travel behaviour, and quality of life at different spatial scales. However, associations between the built environment, driver distraction, and driving performance at the micro-level are less

High employee turnover and career dissatisfaction are significant challenges for the hospitality and tourism (H&T) industry, underscoring the need for effective career frameworks. To address the lack of a unified framework, this study critically reviews 59 articles. By identifying gaps in the literature, we develop a framework that integrates individual, organizational, and socio-cultural factors to