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This study aims to asses students’ sustainability consciousness (SC) in relation to their perceived teaching styles in seven public sector institutions in Pakistan.

A survey technique was used to collect data from respondents. Grasha’s (1996) Teaching Styles Inventory and Gericke et al.’s (2019) Sustainability Consciousness Questionnaire were used to collect data pertinent to teachers’ teaching styles and students’ SC, respectively. This study’s population was 1,986 students studying in seven educational institutions. A sample of 993 students was selected for the study. Out of the 993 questionnaires distributed, only 753 respondents returned the questionnaire completely filled, resulting in a response rate of 75.83%. Descriptive statistics and structural equation modeling (SEM) were used to analyze the data.

The results show that students’ mean scores on environmental and social dimensions were higher compared with the economic dimension. Similarly, students’ scores were relatively higher on the knowledge and attitude dimension while lower on the behavior dimension. Moreover, the expert and formal authority teaching styles were the most prevalent teaching styles. Furthermore, SEM results show that various teaching styles affected students’ knowledge and attitude; however, only the delegator teaching style affects all three dimensions of SC.

This research has implications for educational institutions and policymakers to ensure dedicated efforts to promote and integrate education for sustainable development into the educational system and achieve sustainability goals by 2030.

The study findings will help future teachers to effectively integrate sustainability education into their classrooms.

This research expands the discussion on the effectiveness of various teaching styles on SC in teacher education programs.

The purpose of this study was to examine the impact of strategic leadership (SL) on business operational resilience (OR) in the hotel industry in Egypt, namely, during and after the pandemic. This investigation also aimed to explore the mediating function of crisis response strategies (CRSs) and organisational e-readiness (Oe-R) in this relationship.

The researchers conducted a cross-sectional study using a questionnaire as the primary data collection method. Using partial least squares structural equation simulation (PLS-SEM), the study used a comprehensive sample that targets the general managers of all five-star hotels in Egypt.

Results indicated that SL has a positive impact on CRSs and Oe-R. Furthermore, the results reveal a positive influence of Oe-R on both CRSs and hotel OR. On the other hand, CRSs do not influence hotel OR. The findings showed that CRSs fully mediate the link between SL and OR. However, CRSs do not serve as a mediator between Oe-R and OR. Furthermore, the findings showed that Oe-R partially mediates the link between SL and both OR and CRSs.

The study yields unique and valuable theoretical and practical insights to guide hotel leaders and managers towards adaptive recovery and resilience in turbulent and crisis-ridden environments by demonstrating that the combined mediating function of CRS and Oe-R is more effective in strengthening the relationship between SL and OR.

This study represents a pioneering investigation that establishes a correlation between SL and OR, either through direct or indirect means. The research examines the involvement of CRSs and Oe-R as collaborative mediators in this relationship. Previous studies undertaken in the hotel industry and service sector have not investigated this specific element.

Literature shows that the antecedents of eWoM have received limited attention and the present scales used for measuring eWoM in the hospitality and tourism industry are outdated. Therefore, this study aims to construct a new scale for the generation of positive eWoM in the hospitality and tourism industry.

This study developed a novel scale on eWoM based on the four dimensions of the unified theory of acceptance and use of technology.

The exploratory and confirmatory factor analysis confirms the factorial structure of the new scale. The exploratory factor analysis shows that “performance expectancy” has the highest impact on the constitution of positive eWoM with 8 items, followed by “social influence” and “facilitation condition” with 5 items each. The factor “effort expectancy” is found to have the lowest impact on the constitution of positive eWoM in the hospitality and tourism industry with 3 items. The confirmatory factor analysis in terms of the construct reliability, average variance extracted and maximum shared variance tests confirmed the model validity of the new scale.

This study ensures measuring eWoM with the latest norms that will assist in prudent policy formulation. These results insights into policymakers from the hospitality and tourism industry for the generation of positive eWoM towards their business which will help them achieve better customer loyalty.

The purpose of this study is to conduct a thematic content analysis of facial emotion recognition (FER) research within the context of the hospitality and tourism industry. Through this analysis, the study aims to identify key themes, trends and implications of the utilization of FER technology in enhancing customer emotions and experiences within hospitality and tourism settings.

This is qualitative research that utilizes thematic content analysis. The research data were obtained from the Scopus database. A total of 45 articles (titles, abstracts and keywords) were coded into MAXQDA and VOSWiever programs for data analyses and mapping.

Based on the analyses, the predominant term used in titles was emotion, indicating its centrality in the research domain. Moreover, the most prevalent concepts in this field were emotion and experience. Notably, facial emotion recognition emerged as the most frequently utilized term within this context. Within the hospitality and tourism industry, FER was primarily employed within the travel sub-branch. Finally, the research culminated in the visualization of the theoretical framework and conceptual background, offering a comprehensive overview of the field.

There is a growing demand for using FER technology specifically within the hospitality and tourism industry context; therefore, growing scientific research has been conducted on this topic recently. By conducting a thematic content analysis, this study uncovered novel insights into the utilization of this technology to enhance customer emotions and experiences, thereby contributing to a deeper understanding of its potential implications and applications within the hospitality and tourism industry.

This study aims to explore the challenges faced by the tourism and hospitality industry following the COVID-19 pandemic and to propose effective strategies for recovery and resilience of this sector.

The study analysed the challenges encountered by the tourism and hospitality industry post-pandemic and identified key strategies for overcoming these challenges. The study utilised the modified Delphi method to finalise the challenges and employed the Best-Worst Method (BWM) to rank these challenges. Additionally, solution strategies are ranked using the Criteria Importance Through Intercriteria Correlation (CRITIC) method.

The study identified significant challenges faced by the tourism and hospitality industry, highlighting the lack of health and hygiene facilities as the foremost concern, followed by increased operational costs. Moreover, it revealed that attracting millennial travellers emerged as the top priority strategy to mitigate the impact of COVID-19 on this industry.

This research contributes to understanding the challenges faced by the tourism and hospitality industry in the wake of the COVID-19 pandemic. It offers valuable insights into practical strategies for recovery. The findings provide beneficial recommendations for policymakers aiming to revive and support these industries.

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.

This paper employs bibliometric analysis to explore transformative trends and emerging research patterns in the intersection of digital technology and tourism. The goal is to provide insights into the evolving landscape, identify key themes, influential authors and prominent journals, contributing to a nuanced understanding of this dynamic field.

This study rigorously employs bibliometric analysis from 2002 to 2023, using Scopus and Web of Science databases, yielding 2,040 Scopus and 1,389 Web of Science documents. After meticulous data selection, 575 articles were refined. Utilising VOSviewer and Biblioshiny, the analyses focus on publication trends, citations, authorship, collaborations and thematic clusters, addressing four research questions.

This bibliometric analysis reveals a significant growth in annual scientific production on digital technology and tourism, peaking at 100 articles in 2023. Key contributors include LAW R., CHUNG N. and KOO C. China leads in research output, and influential journals include “Current Issues in Tourism” and “Information Technology and Tourism.” Noteworthy trends emphasise the centrality of “smart tourism” and the interconnectedness of technology, hospitality and management in shaping future research directions.

Stakeholders should focus on integrating emerging technologies in tourism, emphasising areas with high research activity. Professionals must stay updated on evolving trends, adopt innovative digital solutions and collaborate to navigate the dynamic landscape.

This study pioneers the first bibliometric analysis on digital technology in the tourism industry, providing a unique and comprehensive exploration of the scholarly landscape from 1998 to 2023, shedding light on key contributors, influential journals and emerging trends.

The purpose of this study is to develop research questions and explore industry expert perceptions related to the process of transformative changes in post-COVID-19 gastronomy and wine tourism.

To achieve this purpose, the authors applied individual and collective brainwriting techniques using the digital whiteboard, Mural. The research questions were answered within Mural's Sailboat template, which helped industry experts describe four situational areas and their symbolic elements. These included transformative change – the island, strategies – the wind, challenges – the anchors and strengths – the coral. The exploration was conducted across interpersonal, organisational and intra-destination levels.

This study results yielded a know-how framework that synthesised the insights of industry experts. The framework underscores the importance of a sequential approach to embrace transformative change to mindsets, practices and systems. It also advocates strategies (new leadership style, business solutions and community empowerment), potential challenges (self-doubt, established organisational culture and inertia within large systems) and leveraging industry strengths (personality traits, human resources and organisational interdependence) to effectively navigate the evolving gastronomy and wine tourism environment.

This paper represents a pioneering effort in assessing the key areas in the gastronomy and wine business and drawing parallels to the essential levels of transformation required to effectively cope with upcoming uncertainties.

本研究的目的是提出研究问题并探讨行业专家对新冠肺炎 (COVID-19) 后美食和葡萄酒旅游变革过程的看法。

为了实现这一目的, 作者利用数字白板、壁画应用了个人和集体的脑力书写技术。 研究问题在 Mural 的帆船模板中得到了解答, 该模板帮助行业专家描述了四个情景区域及其象征元素。 其中包括变革 – 岛屿、策略 - 风、挑战 - 锚点和优势 - 珊瑚。 探索是在人际、组织和目的地内部层面进行的。

研究结果产生了一个综合了行业专家见解的专业知识框架。 该框架强调了采用顺序方法来拥抱思维方式、实践和系统变革的重要性。 它还倡导战略（新的领导风格、业务解决方案和社区赋权）、潜在的挑战（自我怀疑、既定的组织文化和大型系统内的惰性）, 并利用行业优势（个性特征、人力资源、组织相互依赖）来 有效驾驭不断变化的美食和葡萄酒旅游环境。

本文代表了通过了解有效应对新的不确定性所需的转型水平来评估美食和葡萄酒行业关键形势领域的开创性努力。

La finalidad de este estudio fue desarrollar preguntas de investigación y explorar las percepciones de los expertos de la industria relacionadas con el proceso de cambios transformadores en la gastronomía y el enoturismo post-COVID-19.

Para lograr este objetivo, los autores aplicaron técnicas de escritura de ideas individuales y colectivas utilizando la pizarra digital Mural. Las preguntas de investigación fueron respondidas dentro de la plantilla Sailboat de Mural, que ayudó a los expertos de la industria a describir cuatro áreas situacionales y sus elementos simbólicos. Estos incluían cambios transformadores (la isla), estrategias (el viento), desafíos (las anclas) y fortalezas (el coral). La exploración se llevó a cabo a nivel interpersonal, organizacional e intradestino.

Los resultados de la investigación generaron un marco de conocimientos que sintetizó los conocimientos de los expertos de la industria. El marco subraya la importancia de un enfoque secuencial para adoptar cambios transformadores en mentalidades, prácticas y sistemas. También aboga por estrategias (nuevo estilo de liderazgo, soluciones empresariales y empoderamiento de la comunidad), desafíos potenciales (inseguridad, cultura organizacional establecida e inercia dentro de grandes sistemas) y aprovechar las fortalezas de la industria (rasgos de personalidad, recursos humanos, interdependencia organizacional) para navegar eficazmente en el cambiante entorno de la gastronomía y el enoturismo.

este artículo representa un esfuerzo pionero en la evaluación de áreas situacionales clave en los negocios de la gastronomía y enología al comprender los niveles de transformación necesarios para hacer frente de manera efectiva a las nuevas incertidumbres.

The paper aims to reveal the intellectual structure of studies on artificial intelligence (AI) in the fields of tourism and hospitality. Evaluations regarding the intellectual structure have been made based on co-author, co-word and citation.

The study is exploratory in nature. The study, using bibliometric analysis, provides a Web of Sciences (WOS) overview. The data has been obtained from the WOS database by coding as “artificial intelligence” and “tourism” and “hospitality.” VOSviewer program has been used to obtain and analyze the data.

The findings of the research show that studies on the use of AI in tourism and hospitality have become very popular, especially in the last 4 years. The authors of the study are working in the tourism and hospitality fields and have a high h-index. Generally, in current AI studies in tourism, topics such as robot, automation, ChatGPT, technology adoption and mechanical learning are studied. It has also been determined that topics related to the future of destinations and literature reviews are also discussed.

Although this paper examines all studies identified as a result of filtering, the analysis is limited to 195 studies. However, due to the widespread use of AI in tourism-related studies recently, bibliometric analysis has been made with extensive filtering. As studies on the subject become more widespread in the coming years, it would be useful to repeat similar studies by filtering with more specific quotas.

There are a few similar studies on the subject in the field. However, these studies need to be repeated at certain periods. This paper contributes to monitoring the literature of AI studies, which are new to use in tourism and hospitality, and to the formation of a theoretical framework on the subject.

This study aims to conceptualize the characteristics of artificial intelligence (AI) dogs while exploring their applications in tourism and hospitality settings.

The total of 30 in-depth interviews were conducted, and data were analyzed through thematic analysis.

This study proposed differences between AI dogs and real dogs and human-like robots, core characteristics of AI dogs’ functions, a matrix of appearance and expectation regarding intelligence for AI dogs and human-like robots, the relationship between ethical barriers and task complexity, adoptions of AI dogs in different user segments and practical applications in hospitality and tourism settings, such as restaurants, city tour guides, extended-stay resorts and event organizations.

This research advances the field of tourism and hospitality studies by introducing the new concept of AI dogs and their practical applications. This present study adds new insights into the opportunities and contexts of human–robot interaction in the field of tourism and hospitality.

To the best of the authors’ knowledge, this research is one of the first studies of AI dogs in tourism and hospitality.