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Tourist guides, one of the important service providers of tourism, have effected greatly by smart tourism technology during the COVID-19 period. It is thought that this trend will continue to increase in the future. Also, there are some challenges of smart tourism post pandemic on tour guides. In this context, the study aims to examine the levels of utilization of smart tourism applications by tourist guides, their activities in the COVID-19 period, and the transformation that tour guiding will undergo in the future. Within the scope of the study, existing smart tourism applications used in tours were examined with opportunities and challenges sides. In addition, the reflection of the guided cultural tours in the future was evaluated.

This book is essential for anyone in destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including pandemic and disaster descriptions, crises during and after disasters and the motivation and safety of tourists, the regeneration of the tourism industry only after the global epidemic, the revamp of the tourism industry as well as the existence of a reshaping, crisis planning and control upon crises as well as pandemic after the restoration of the tourism sector of the tourism industry, and tourism issues are discussed in the management plans of the centralization. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after the outbreaks and natural disasters from a sustainable perspective, for readers with an equitable interest or involvement with the organizations in inquiry.

This study aims to investigate the effects of smart tourism technology experience (STTE) on tourist satisfaction and happiness in Bordeaux, with a focus on understanding the mediating role of self-gratification. By examining these relationships, the study seeks to provide insights into how smart tourism technologies can enhance tourist experiences.

The study uses partial least squares-structural equation modeling (PLS-SEM) to analyze data collected from 380 tourists who visited Bordeaux. The measurement model assesses reliability and validity, while the structural model evaluates the proposed hypotheses and the mediation effects of self-gratification.

The results confirm that STTE positively impacts tourist satisfaction, with accessibility, informativeness and personalization significantly enhancing tourist satisfaction, while interactivity does not. Tourist satisfaction, in turn, positively affects tourist happiness. Furthermore, self-gratification partially mediates the relationship between tourist satisfaction and happiness, highlighting its importance in the smart tourism context.

This research extends the understanding of STTE by demonstrating its effects on tourist satisfaction and happiness. It introduces the mediating role of self-gratification, providing a novel perspective on how personalized smart tourism experiences contribute to overall tourist happiness.

This chapter explores the concept of regenerative tourism as a sustainable approach to travel and destination development. It examines the interconnectedness of regenerative agriculture and tourism, incorporating the adaptive cycle model and principles from the regenerative development framework. The chapter proposes a conceptual framework comprising five design dimensions: regeneration mindset, inherent potential, systems capability, intended system effects and tasks and resources. These dimensions guide the design and development of regenerative tourism interventions, aiming to shift the tourism regime towards regeneration. The chapter highlights the importance of adopting an ecological worldview, discovering the unique potential of each place, leveraging tourism living systems, creating regenerative places and communities and collaborating to enact regenerative approaches. Regenerative tourism offers solutions for rethinking and rebuilding the tourism industry, enhancing local economies, preserving cultures and biodiversity and providing transformative experiences for guests. The descriptive methodology allows for a comprehensive exploration and explanation of the conceptual framework and its potential implications for the tourism industry. It serves to inform readers about the key concepts, principles and dimensions of regenerative tourism, facilitating a better understanding of its theoretical foundations and practical applications. The chapter concludes that regenerative tourism requires a change in the economic model and societal perspective, focusing on qualitative development and improving human well-being through ecosystem health. It recommends the adoption of regenerative practices, emphasizing the positive impacts on destinations and stakeholders. Future directions include further research on regenerative tourism's effectiveness, exploring innovative strategies and technologies and fostering collaboration among stakeholders to enhance its implementation.

Environmentally Responsible Behavior (ERB) refers to actions and practices aimed at minimizing negative environmental impact through conservation, waste reduction and sustainable practices driven by concern for environmental well-being. This study aims to explain the effect of environmental attitudes of hotel guests visiting green and non-green hotels on their ERB. In the research, hotels with different concepts were handled separately and a comparative analysis was made between both customer types.

The study was assessed using two separate models: one for green hotel guests and another for non-green hotel guests. Data were collected from 205 participants from green hotel guests in Turkiye and 206 participants from hotel guests visiting non-green hotels in Turkiye, using a survey form with a convenience sampling method. The hypotheses were analyzed with the structural equation model and multi-group analysis (MGA) in the Smart PLS statistical program.

The ecocentric attitude positively affects political and community activism but does not impact recycling, educational behavior, green consumerism or overall ERB. The technocentric attitude negatively influences recycling, educational behavior, green consumerism, community activism and ERB but does not negatively affect political activism. The dualcentric attitude positively impacts all ERB sub-dimensions. The multi-group analysis (MGA) revealed that dualcentric attitudes have a stronger influence on green consumerism, political activism and recycling behavior among green hotel guests compared to non-green hotel guests.

These findings directly impact hotel managers, underscoring the strategic significance of adopting and advocating green practices. Implementing environmentally friendly initiatives not only appeals to environmentally conscious consumers but also holds the potential to cultivate ERB among all guests. By integrating sustainability into marketing strategies, hotels can communicate their commitment to environmental stewardship, positively influencing guests’ environmental attitudes and behaviors.

The paper’s key contribution is its comparative analysis of ERB between guests at green and non-green hotels. It reveals how tourists’ environmental attitudes influence their hotel choices and behaviors, offering insights into sustainable tourism. Additionally, it explores the differences between ecocentric, technocentric and dualcentric attitudes, enhancing our understanding of how varying environmental concerns shape tourists’ behaviors and choices and contributing to the broader discussion on environmental psychology in tourism.

The hospitality industry has been debating the merits of sustainable tourism for some time, but more and more people are becoming interested in regenerative tourism. The concept of regenerative tourism goes beyond that of sustainable tourism in that it seeks to restore and regenerate both the natural environment and the communities in which it operates. The Chinese hospitality industry has been expanding at a rapid rate and has the potential to adopt practices that are associated with regenerative tourism. This chapter investigated the hospitality industry of China and the shift from sustainable tourism to regenerative tourism. Consumer expectations, government programmes, and AI are driving this shift from sustainable to regenerative tourism. Despite the challenges of transitioning tourism from sustainable to regenerative, many Chinese initiatives and programmes are helping the environment and communities.

This book is essential for anyone in artificial intelligence (AI) and destination management in the tourism industry or government. The book includes both theoretical and practical writings for stakeholders. In all chapters, we provide titles including AI, regenerative and green destinations, sustainable tourism, tourist motivations and expectations, good examples of smart destinations and regions, the regeneration of the tourism industry via AI, rethinking tourism activities and products, current issues in robots, self-service technology, effect of pandemic on smart destinations, sustainable gastronomy and regenerative tourism and tourism issues are discussed in the management plans of the centralisation. This book provides cases and empirical studies that deal in depth with the current situation, challenges, solutions and future strategies after technological development of tourism and increasing interest on smart destinations from a responsible perspective, for readers with an equitable interest or involvement with the organizations in inquiry.

Drawing on the resource-based view, ecological modernization theory and upper-echelon theory, this study aims to explore how green manufacturing practices (GMGP) affect the sustainable performance of small and medium enterprises (SMEs).

It also examines the mediating role of green innovation (GIN) and the moderating role of managerial discretion (MD). To test the hypothesized model, the data was collected from 394 manufacturing SMEs though survey and analyzed using SPSS and AMOS (SEM).

The results provide evidence for the positive relationship between GMGP and corporate sustainable performance (CSPR), mediated by GIN. Furthermore, the presence of MD enhances the positive effect of GMGP on CSPR through GIN. Thus, this study enhances the understanding of the relationship between GMGP and CSPR, including its underlying mechanism and conditional effects.

This study collected sample from SMEs located in Punjab province of Pakistan which represents majority of the SMEs; however, future research can take data from other province and with large sample size.

The findings highlight the significance of GMGP and GIN in the manufacturing sector for attaining CSPR goals. GMGP guides business leaders to be more inclined toward the energy and resource consumption as well as waste generation within their organizations which lead to improved CSPR outcomes.

The findings of this study make significant contributions to the existing literature, shedding light on the dynamics between GMGP and CSPR. Moreover, the study offers managerial implications for organizations aiming to enhance their sustainable performance by implementing effective GMGP.

This study aims to determine how changes in macroeconomic indicators and the housing prices index (HPI) are related. These factors can cause short-term and long-term changes in the housing market in Spain.

The study used cointegrating regression, fully modified ordinary least squares and dynamic ordinary least squares methodologies. The models are trained using quarterly time series data for these parameters from 2010 to 2022. A comprehensive examination is conducted to explore the relationship between macroeconomic issues and fluctuations in the HPI.

The results indicate statistically significant short-run effects (p < 0.05) of economic growth, inflation, Spanish stock indices, foreign trade and the interest rate on HPI. The inflation variables, Spain’s stock indices, interest rate and monetary rate, have statistically significant long-run effects (p < 0.05) on HPI. The exchange rate, unemployment and money supply have no substantial impact on HPI in Spain.

The study’s findings significantly contribute to increased information concerning the level of investing activity in the Spanish housing sector. After conducting an in-depth study of both the long-run and short-run connections with HPI, the study proved to be highly effective in formulating appropriate policies.