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This study explored the role of market mavens for young tourists and existential authenticity for young tourist co-creation experience. It determines intentions to revisit and intentions to recommend tourism service providers. The theoretical foundation of this study is based upon the macro-micro theory approach of service-dominant (S-D) logic and customer engagement, which explains the idea of tourist co-creation interactivity and value creation between the service provider and tourist.

The positivist deductive approach, survey-based methodology was followed for this study. Data was collected from 349 young tourists who have traveled and contributed to travel services through collaboration and interaction with the service provider. The data were analyzed in SmartPLS, and structured equation modeling technique was used for hypothesis testing.

It was found that market mavens have a positive impact on young tourist's co-creation process, hence depicting intention to revisit and recommend the tourism service provider. Existential authenticity was also found having positive impact on tourist co-creation and intention to revisit and recommend the service provider. The results show that young tourists plan domestic trips in Pakistan and co-create with service providers.

This study theoretically and practically contributed in the literature and enhanced the literature concerning mainly the young tourists co-creation. It has also enhanced the knowledge about intentions to revisit and recommend with special focus on market mavens. Also, existential authenticity of the tourist spots was keenly considered in the underlying research.

This study highlights value-creation phenomenon in tourism for younger tourists. Their input is important in the form of creativity and innovation and by incorporating these young tourists in decision-making process. They ensure their ability to participate and design, resulting in loyalty towards service provider.

Artificial Intelligence (AI) has revolutionised the tourism industry, offering personalised experiences and streamlining operations. AI provides customised recommendations for travellers through data analysis and machine learning, making their journeys more meaningful. It has also improved efficiency through automated processes, chatbots and enhanced security measures. AI's ability to analyse large volumes of data enables tourism organisations to make data-driven decisions and target their marketing strategies effectively. One of the most notable contributions of AI in tourism is its ability to offer personalised recommendations. By analysing vast travel history, preferences and online behaviour, AI systems can provide tailored suggestions for destinations, accommodations, activities and dining options. This level of customisation enhances the overall travel experience, making it more relevant and satisfying for individual travellers. AI has also greatly improved operational efficiency within the tourism sector. Chatbots, powered by natural language processing, are increasingly being deployed by hotels, airlines and travel agencies to provide instant customer support and assistance. These chatbots can answer queries, offer recommendations and handle booking processes, reducing waiting times and enhancing customer satisfaction. In addition, facial recognition technology allows for quick and accurate identity verification at airports, hotels and other travel-related facilities. This improves security and provides travellers with a seamless and efficient experience. As technology advances, we expect AI to play a more prominent role in augmented reality, voice recognition and virtual assistants, further enhancing the travel experience and facilitating seamless interactions. In conclusion, AI has transformed the tourism industry by providing personalised recommendations, improving operational efficiency, enhancing security measures and enabling data-driven destination management.

COVID-19 was the most catastrophic pandemic in modern history. It has a massive impact on people's lives and a variety of sectors. One of the most impacted sectors is the travel and tourism industry. The tourism business was the first to be severely impacted by the epidemic, which had a wide range of effects on other parts of society. As a result, studying tourists' behavior as a core aspect of this industry and predicting their travel pattern variation after the COVID-19 outbreak has become a critical concern. To understand the damaging effects of this global calamity on tourism, this book chapter focuses on the concerns and perspectives of multiple stakeholders. It conducts a thematic analysis to investigate travelers' perceptions and travel issues after the COVID-19 pandemic.

The main purposes of this article are twofold: (1) to investigate the unexplored connections among destination gender personality, destination stereotypes, brand attachment and destination brand love and (2) to examine the moderating role of destination involvement in the association between destination stereotypes and destination brand attachment (DBA).

The conceptual model is evaluated using qualitative methods (i.e. three focus groups, six academic experts and a pilot study). In addition, using an empirical study with 610 international travelers who visited Egypt selected by systematic random sampling, 8 hypotheses were analyzed and tested using structural equation modeling (SEM) by AMOS 23, confirmatory factor analyses and exploratory factor analyses.

The study’s results suggest that destination gender plays a vital role in enhancing stereotypes, stereotypes positively affect attachment and DBA positively affects destination brand love. Finally, the results show that destination involvement moderates the dual influence of the warmth and competence of stereotypes on destination attachment.

The research supports the contention that social perception mechanisms are crucial in destination brand perception. It offers new understandings of the association between customers' destination brand perceptions and their responses to destinations.

This paper contributes to the travel literature by analyzing a novel model of destination gender personality, stereotypes, DBA and destination brand love using both social role (SR) theory and a stereotype content model (SCM). Besides attempting this task, it explores the moderating role of destination involvement in the association between stereotypes and destination attachment using the elaboration likelihood model.

This study aims to explore how inter-organizational systems (IOSs) drive tourism businesses to a new normal based on the resource-based view through the supply chain of tourism and information and computer technology used in IOSs.

Data were collected from the management of tourism businesses, and stratified sampling was used in the study. The authors selected 1,000 travel agencies as the study sample, mailed the research questionnaire to their managers and received 252 completed questionnaires. The authors analyzed the data using the partial least squares approach.

IOS is seen as a transformational service mechanism that provides a dynamic support weapon for members of the tourism supply chain. Tourism businesses should look for suppliers providing comprehensive services through IOS, excellent quality tourism products and customized tourism products to enhance the competitiveness of tourism businesses in the new normal.

This study provides an industrial marketing research perspective on tourism businesses facing the challenges of the new normal. For tourism businesses, technological innovation allows for changes in the strategies and procedures for their transformation and improves the business model of tourism businesses in the new normal.

Tourists with different cultural backgrounds think and behave differently. Accurately capturing and correctly understanding cultural differences will help tourist destinations in product/service planning, marketing communication and attracting and retaining tourists. This research employs Hofstede's cultural dimensions theory to analyse the variations in destination image perceptions of Chinese-speaking and English-speaking tourists to Xiamen, a prominent tourist attraction in China.

The evaluation utilizes a two-stage approach, incorporating LDA and BERT-BILSTM models. By leveraging text mining, sentiment analysis and t-tests, this research investigates the variations in tourists' perceptions of Xiamen across different cultures.

The results reveal that cultural disparities significantly impact tourists' perceived image of Xiamen, particularly regarding their preferences for renowned tourist destinations and the factors influencing their travel experience.

This research pioneers applying natural language processing methods and machine learning techniques to affirm the substantial differences in the perceptions of tourist destinations among Chinese-speaking and English-speaking tourists based on Hofstede's cultural theory. The findings furnish theoretical insights for destination marketing organizations to target diverse cultural tourists through precise marketing strategies and illuminate the practical application of Hofstede's cultural theory in tourism and hospitality.

Achieving better performance and a sustainable competitive advantage is essential for survival in the hotel industry. However, literature is scarce on which factors local hotel businesses in developing countries should rely on to compete successfully. With an emerging economy and significant potential for growth in the travel and hospitality sectors, Colombia is seeking to improve the performance of its hotel industry. To achieve this goal, exploring and analyzing the effects of the strategies and practices implemented is essential. Accordingly, this study investigates the dynamics of the interactions between strategies, process innovations, outsourcing practices and operational quality in the hotel industry in Colombia.

The methodology used in this research is quantitative, using structural equation modeling based on data collected from 150 valid questionnaires.

The strategies of the hotel sector have an impact on hotel performance. Although process innovation demonstrably affects quality and outsourcing, there is a low impact on the performance of the studied hotels. The hotel sector lacks strategy autonomy as strategies are not directed to the organization's overall improvement but only to satisfy stakeholders' requirements.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. It provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

This paper offers valuable insights for organizations when implementing strategic innovation initiatives. Additionally, it provides information relevant to Colombian government entities on the creation of processes, economic policy plans and business assistance programs for boosting the financial and commercial sustainability of Colombian service sector businesses. The studied organizations need to redefine the role of their strategies, process innovation, outsourcing projects and quality standards to achieve adequate performance, as all four dimensions together are required to foster competitiveness.

Developing successful strategies is vital to generating performance. Quality and safety are critical strategies to achieve a sustainable competitive advantage. But literature is scarce on which factors local hotel businesses should rely on to compete successfully in developing countries. In particular, the concept of outsourcing in a highly distrusting developing country has not been addressed adequately. This research contributes to literature by evaluating quality as a competitive strategy in the hotel sector in a developing country to achieve a superior performance.

This study aims to examine the evolution of the tourism supply chain (TSC) and its future development factors. To this end, a quantitative bibliometric analysis was conducted to provide insights from a statistical perspective, including the evolution of the TSC and an outlook on current characteristics and future research trends.

This paper presents a quantitative bibliometric study of selected papers on the Web of Science. The study of the evolution of the TSC is based on analyses of bibliographic coupling and co-occurrence of keywords.

Bibliographic coupling analysis identified 10 clusters defined by coherent groups of theoretical perspectives. The keyword analysis explains the occurrences in the TSC concept. It also helps to determine the future main drivers of TSC research. In the post-COVID-19 era, the tourism industry needs to focus on green transformation and new technologies to transform TSC, supply chain management and B2B relationships. It also needs to ensure employee retention and policies to attract new talent.

This study provides a comprehensive, objective and integrative overview of the evolution of TSC. It is one of the few original works on supply chain development and will be helpful for scholars and practitioners alike to understand the subject.

This paper aims that digital transformation (DT) is crucial for companies to stay competitive. While research on DT has quickly gained great popularity, the intersection of trade associations (TAs) and their role in the DT of their members is not yet researched.

In this paper, the authors conducted 20 interviews with Belgian TAs to investigate the role of a TAs in the DT of its members, and how they drive the DT of its members. In addition, the authors investigate the core tasks of TAs, the need of the different industries to digitalize, and the digital projects the different industries are working on.

The findings indicate that TAs can be in a prime position to steer the DT of their members, especially for industries comprised of smaller players. Their roles can range from informing roles to true leaders of DT by creating novel products, such as online platforms and driving the entire sector forwards.

These findings call for more research into TAs and how their role can be optimized for steering DT of their members.

This is the first study to extensively study the role of TAs on the DT of their members.

To reconceptualize the organizational environment in a comprehensive manner, it is important to specify not just the velocity but also other aspects of turbulent environments. Concurrently, the purpose of this paper is to also propose that organizational adaptability and, particularly, the speed of adaptations are critical to moderate the impact of turbulence in the environment on organizational performance.

This paper uses a conceptual methodology to fully specify turbulent environments and commensurate managerial response appropriate for such environments. Based on a perspective borrowed from the field of fluid dynamics used to specify the phenomenon of turbulence, the authors develop a conceptual model with research propositions. Four dimensions that describe turbulence in fluid flow when applied metaphorically offer a comprehensive view of the organizational environment.

An extreme, unanticipated, sudden onslaught resulting in a prolonged disrupted environment such as during the recent coronavirus crisis is best characterized as having caused turbulent environmental conditions. Management theories have addressed disruptions as high-velocity environments in the context of rapid changes in information technology. With a broadened conceptualization of the organizational environment to better capture extreme disruptions, the authors provide a comprehensive model appropriate for turbulent environmental conditions and offer research directions for scholarly pursuit.

This paper provides a new perspective from the physical sciences to better conceptualize organizational environments during extreme disruptions such as in turbulent environmental conditions.