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Based on imprinting theory and episodic future thinking, this paper aims to study how CEOs’ attributes and experiences inform innovation in tourism and hospitality businesses. It also explores ways to quantify innovation in this sector.

The authors quantitatively analysed innovation in tourism and hospitality using extensive data from companies’ annual reports. They further adopted multivariate regression to test how CEOs’ experience affects enterprise innovation.

Results demonstrate that CEOs’ academic education and rich work experience can promote corporate innovation. The authors also identified a mediating role of the tone of narrative disclosure in annual reports between CEOs’ academic education and corporate innovation. The imprinting effects of career experience and educational experience appear both independent and interactive.

CEOs are more inclined to engage in corporate innovation when influenced by the combined imprinting effects of strategic management training and work experience. Additionally, leaders should consider how communication styles indirectly influence innovation activities.

This paper introduces an integrated perspective that blends imprinting theory and episodic future thinking to bridge knowledge gaps regarding the interaction of CEOs’ past experiences. This work enhances understanding of how CEOs’ imprinted experiences, together with their capacity for envisioning future scenarios, can drive corporate innovation.

Drawing upon the natural resource-based view (NRBV), the present study explores the role of green dynamic capability (GDC) as a mediating variable in the relationship between green transformational leadership (GTL) and green innovation (GI) in the hotel industry. The research further assesses green performance (GP) as a resultant factor of GI.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave, two-week time-lagged design (N = 303). In addition, the study also intends to apply partial least squares structural equation modeling (PLS-SEM) and fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GDC. The results show numerous combinations using fsQCA that can be utilized to increase GP.

There is little empirical evidence to study GTL and GI in hospitality studies. This work empirically investigates GTL, GDC and GI relationships to fill a knowledge gap. It also explains undiscovered factors and provides causal recipes to improve GP using fsQCA.

The objective of this investigation is to examine the correlation between green transformational leadership (GTL) and organizational green innovation (GI) by employing a mediation model. Drawing upon the social cognitive theory and natural resource-based view, the present study explores the role of green creativity (GC) as a mediating variable in the relationship between GTL and GI in the hotel industry.

The research was conducted in Italian luxury hotels to assess the efficacy of our conceptual framework among workers in the hospitality industry. The study utilized a three-wave 2-week time-lagged design (N = 303). In addition, the study also intends to apply the Partial Least Squares – Structural Equation Modelling (PLS-SEM) and the fuzzy qualitative comparative analysis (fsQCA) to have distinctive discernment into model rapport.

The results of the study indicate the linkage between GTL and GI. Furthermore, the study also found the partial mediation of GC of employees. The results show numerous combinations using fsQCA that can be utilized to increase green performance (GP).

The study helps the hotel industry maximize its performance by unravelling irregular relationships. Therefore, it contributes by explaining previously unexplored factors and elucidating causal recipes to build a higher GP base through GTL, GC and GI. The research findings hold significant implications for comprehending the effects of GTL on organizational GI as well as its influence on GP. The limitations of the study are discussed for avenues of future research.

This study aims to provide researchers in hospitality management with a comprehensive understanding of the experience sampling method (ESM) and to engage them in the use of ESM in their future research. With this critical discussion of the advantages and challenges of the method, researchers can apply it appropriately to deepen and broaden their research findings.

This study chooses an empirical example in the context of hotel employees’ surface acting, tiredness and sleep quality to illustrate the application of ESM. Based on the example, this paper conducts a two-level modeling in Mplus, including a cross-level mediation analysis and mean centering.

This paper demonstrates the applicability and usefulness of ESM for hospitality research and provides a detailed demonstration of how to use the statistical program Mplus to analyze ESM data. With this paper, researchers will be able to consider how to engage ESM in their future studies.

To the best of the authors‘ knowledge, this paper is among the first to provide a hands-on demonstration of ESM to hospitality researchers. The authors call for more research in hospitality management to use ESM to answer complex and pressing research questions.

By building on cooperation–competition theory, this study aims to investigate the multidimensional flipped effects of neighborhood hotels on Airbnb listings’ popularity, examining the degree to which such impacts are influenced by hotel types and geographical areas.

This study explores the interdependent and competitive relationship between neighborhood hotels and Airbnb from the perspective of effects on Airbnb listings’ popularity by exploring a data set covering 10,492 Airbnb listings and 2,691 hotels from Ctrip.

Results reveal that neighborhood hotels’ number of reviews, review ratings and prices each have positive spillover effects on Airbnb listings’ popularity, while quality assurance labels and negative review topic sentiments exert competitive effects on Airbnb popularity. Moreover, the number of budget chain hotels and high-star hotels have positive and negative effects on Airbnb popularity, respectively. Geographical areas also have a moderating effect on the relationship between various hotel-related influencing factors and Airbnb.

This study can offer hotel managers and Airbnb operators a clearer understanding of these businesses’ coexisting relationship. Findings can also provide Airbnb-specific guidelines for practitioners in terms of site selection, promotional features and development strategies for Airbnb listings.

This study establishes a cooperation–competition relationship model between hotels and Airbnb and considers the flipped effects of hotels on Airbnb for the first time. It expands previous studies by considering the multidimensional effects of hotels on Airbnb listings’ popularity and by examining the influences of hotel types and geographical areas on hotels’ impacts on Airbnb.

This research aims to explore the strategies and tactics taken by five-star hotels to create and sustain competitiveness at difficult times, the role of innovation among the initiatives taken and the factors that influence managers’ decision in selection of coping measures.

The research was conducted in two stages. The first stage focused on textual analysis of online news reports on luxury hotels’ coping strategies taken between 2013 and 2018. At the second stage, expert interviews were carried out with 25 managers of five-star hotels to obtain richer information of hotels’ responsive measures. The qualitative data were analyzed by thematic analysis.

The results revealed that five-star hotels in China made adjustment in physical resource management, human resource management, marketing mix, operation process and external relations to maintain competitiveness during difficult times. A model of hotel resilience was developed based on the findings. Innovation was imbedded in the responsive measures throughout these areas. Managers’ selection of coping measures was affected by the hotel’s organizational culture, location, brand image and competitors.

The model of hotel resilience serves as a useful reference to plan and select strategies and tactics to respond to similar external challenges. Hotel managers are recommended to embrace a variety of innovations directed at both internal management and customer service during challenging times.

To the best of the authors’ knowledge, this study is the first empirical research that systematically examines the measures taken by hotels during critical times to maintain competitiveness, linking these to contemporary post-Fordist operational trends.

Although artificial intelligence (AI) is an essential component of hospitality in the technological empowerment era, AI’s effectiveness as an attraction in this context remains unclear. Grounded in Herzberg’s motivation theory and complexity theory, this study aims to explore configurational paths whereby combinations of qualities lead to success for different types of AI-themed hotels.

This study innovatively blends topic modeling and fuzzy-set qualitative comparative analysis (fsQCA) to investigate configurational paths whereby combined qualities produce positive guest evaluations of 12 AI-themed hotels as evidenced by 7,431 customer reviews.

The results indicate that AI could serve as a “theme” to attract customers under certain circumstances. First, “attractive” and “must-be” qualities are first identified for different types of AI-themed hotels. Furthermore, 6, 15 and 15 configurational paths inspiring favorable guest evaluations of luxury-independent, budget-independent and chain AI-themed hotels, respectively. Technology-related qualities are found to be especially attractive for luxury-independent AI-themed hotels, whereas the role of technology is minimal for budget AI-themed hotels. The impact of technology is salient for chain AI-themed hotels when combined with other factors. In addition, the effect of price differs among the configurational paths for the three hotel types.

This study expands the understanding of AI applications within the hospitality context by exploring the role of AI in AI-themed hotels and comparing its effectiveness in attracting customers across various hotel types. It also provides operational strategies for adopting AI for different types of hotels and for other hospitality and tourism sectors.

This study represents an early attempt to integrate topic modeling and fsQCA to clarify customers’ perceptions of AI-themed hotels and the combined impacts of various qualities. The findings expand on Kano’s model by classifying technology-related qualities into attractive qualities within AI-themed hotels.

People with autism and their families struggle with travel because of its complexity. This study aims to promote travel participation by exploring the travel needs and patterns of people with autism and their families.

A total of 28 participants were interviewed. Data were analyzed via constructivist grounded theory.

People with autism and their families displayed five travel patterns: mutual support, relatives’ visitation, independent travel, expanded socialization and package tours. These patterns were adopted in a stepwise fashion as the autistic individuals’ abilities improved. The travel challenges and support needs of Chinese autistic people and their families were identified.

The findings can inform accessibility tourism, promote an understanding of autistic people’s tourism activities among the public and industry marketers and offer strategic guidance about family travel for this population.

This effort responds to a call to investigate disability-related issues. The study evaluated the travel behavior of people with autism and their families, from a developmental perspective, presenting a new angle in research on accessibility tourism.

This study aims to meta-analyze the moderating roles of Hofstede’s four cultural values in the antecedent–tourist loyalty link.

Based on 35 independent studies, a meta-regression was conducted to determine whether the heterogeneity of 11 antecedent–tourist loyalty relationships could be explained by four dimensions of Hofstede’s cultural values. Furthermore, this study tested how these relationships were contingent on each cultural value dimension, reinforced by robustness tests involving subgroup analyses.

The intensity of all associations significantly varied by at least one cultural value dimension, namely, power distance, individualism, masculinity or uncertainty avoidance.

This meta-analytic study enriches the relevant literature by referring to a large, diverse sample to enhance the robustness of the moderating role of tourists’ national culture in loyalty formation and revealing the moderating effect of national culture in 11 antecedent–tourist loyalty links more than in extant literature.

For the body of knowledge of culture-moderated tourist loyalty formation, to the best of the authors’ knowledge, this study is the pioneering meta-analytic effort. It also first offers an original contribution to moderator analysis meta-analytic studies of tourist loyalty by identifying a new moderator, i.e. national culture.

The paper aims to provide a facile approach to the synthesis of polyurethane–silica nanocomposites by introducing self-made aqueous silica sols with different particle sizes into polyurethane materials. This paper investigates the effects of the silica nanoparticles on the polyester polyol, as well as the physical properties and transmittance of the hybrid polyurethane coatings.

Colloidal silica particles of different sizes were obtained using a sol–gel process and were then embedded into polyester polyol by in-situ polymerization. These polyester polyol–silica resins were synthesized using an azeotrope process, using xylene to remove the water generated in the system and present in the dispersion medium for the colloidal silica. The polyester polyol–silica resins were further cured using isocyanate trimers to form polyurethane–silica hybrid films.

The paper observed that the viscosity of the polyester polyol–silica nanocomposite resins increased and their appearance changed from transparent to ivory white as the particle size of the added silica was increased. It was found that increasing the hydroxyl content of the silica improved the film transmittance in the visible light region. However, the transmittance decreased sharply once the diameter of the silica particles reached 100 nm.

Because of the limitation of experimental conditions, some performances have not been tested. Therefore, researchers are encouraged to conduct further tests.

The paper provides a method of preparing hybrid polyurethane film by using silica; the results indicate that the introduction of nano-silica can improve the wear resistance and glass transition temperature of polyurethane coatings.

The results obtained in this study will be extremely useful to enhance the understanding of organic–inorganic hybrid materials.