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Mega Sporting Events in Developing Nations: Necessity or Bureaucratic Burden?
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This paper presents a pioneering investigation into why street-level bureaucrats in Egypt perceive the hosting of mega sporting events as necessary or unnecessary. Based on interviews with 36 street-level bureaucrats, the findings reveal that only a small number of participants view hosting such events as necessary, while the vast majority consider them unnecessary. These perceptions are shaped by both job-related barriers, which include exclusion from decision-making, citizen criticism, and reliance on foreign experts, and socio-cultural barriers, which involve lack of public support, absence of event legacy, and limited impact on tourism.Abstract
This paper presents a pioneering investigation into why street-level bureaucrats in Egypt perceive the hosting of mega sporting events as necessary or unnecessary. Based on interviews with 36 street-level bureaucrats, the findings reveal that only a small number of participants view hosting such events as necessary, while the vast majority consider them unnecessary. These perceptions are shaped by both job-related barriers, which include exclusion from decision-making, citizen criticism, and reliance on foreign experts, and socio-cultural barriers, which involve lack of public support, absence of event legacy, and limited impact on tourism
Friendship workshops: A feminist arts-based intra-activist methodology with children and young people
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CRiMPing methodologies: Introduction to new materialist creative interventions in methods and practice
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Female Microentrepreneurs in the Hospitality Sector: A qualitative exploratory study in Nepal
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This chapter is one of the few academic studies to focus specifically on female microentrepreneurs operating in the Nepalese hospitality sector. Using the resource-based view as the main theoretical lens, the current chapter explores the specific challenges faced by female microentrepreneurs, along with highlighting the potential empowering role of their engagement in entrepreneurial activities. Based on in-depth interviews with ten female microentrepreneurs, the study findings reveal the challenges and effectiveness of agility and resilience as well as digital tools for Nepalese female microentrepreneurs. Moreover, the findings also show how critical factors such as agility, resilience and digital tools for female microentrepreneurs in the Nepalese hospitality sector manifest themselves differently in the case of Western vs. non-Western tourist groups.Abstract
This chapter is one of the few academic studies to focus specifically on female microentrepreneurs operating in the Nepalese hospitality sector. Using the resource-based view as the main theoretical lens, the current chapter explores the specific challenges faced by female microentrepreneurs, along with highlighting the potential empowering role of their engagement in entrepreneurial activities. Based on in-depth interviews with ten female microentrepreneurs, the study findings reveal the challenges and effectiveness of agility and resilience as well as digital tools for Nepalese female microentrepreneurs. Moreover, the findings also show how critical factors such as agility, resilience and digital tools for female microentrepreneurs in the Nepalese hospitality sector manifest themselves differently in the case of Western vs. non-Western tourist groups
Enhancing Sustainable Rural Tourism Through Memorable Experiences: A Means‐End Chain Analysis
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The preservation of natural and cultural assets in rural destinations, while providing memorable experiences to tourists, has become a crucial concern for policymakers and destination management organizations. This study employed a means-end chain (MEC) approach to explore how tourists' memorable experiences align with the core principles of sustainable tourism development in rural destinations. The analysis of the collected data from multiple cases in a developing country context identified 11 MECs, 17 attributes, 16 consequences, and 10 values. These findings shed light on the factors that drive tourists' experiences and emphasize the significance of integrating sustainable practices to enhance tourists' overall experiences while preserving the authentic charm and integrity of rural destinations. The findings also offer practical implications for destination managers to enhance tourists' experiences while supporting the long-term sustainability of rural areas.Abstract
The preservation of natural and cultural assets in rural destinations, while providing memorable experiences to tourists, has become a crucial concern for policymakers and destination management organizations. This study employed a means-end chain (MEC) approach to explore how tourists' memorable experiences align with the core principles of sustainable tourism development in rural destinations. The analysis of the collected data from multiple cases in a developing country context identified 11 MECs, 17 attributes, 16 consequences, and 10 values. These findings shed light on the factors that drive tourists' experiences and emphasize the significance of integrating sustainable practices to enhance tourists' overall experiences while preserving the authentic charm and integrity of rural destinations. The findings also offer practical implications for destination managers to enhance tourists' experiences while supporting the long-term sustainability of rural areas
Generational differences in adopting AI-generated travel advice: What drives trust and reduces resistance?
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The adoption of Generative Artificial Intelligence (GAI) in tourism is expanding, yet significant generational differences remain in its acceptance for travel planning and decision-making. This study, drawing on the theoretical lens of innovation resistance and generation theory, examines how generational attitudes toward technology shape perceptions of barriers to GAI adoption in tourism experiences. Using data from South Korea and the United States, the research employs Structural Equation Modeling (PLS-SEM), multi-group analysis (MGA), and fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover generational disparities in GAI acceptance. Findings reveal distinct challenges faced by different age groups, emphasizing that trust, usability, and perceived risks influence adoption patterns differently across cohorts. The study contributes to the growing theoretical discourse on GAI adoption in tourism and provides practical insights for tailoring GAI solutions to enhance user acceptance and satisfaction across generations.Abstract
The adoption of Generative Artificial Intelligence (GAI) in tourism is expanding, yet significant generational differences remain in its acceptance for travel planning and decision-making. This study, drawing on the theoretical lens of innovation resistance and generation theory, examines how generational attitudes toward technology shape perceptions of barriers to GAI adoption in tourism experiences. Using data from South Korea and the United States, the research employs Structural Equation Modeling (PLS-SEM), multi-group analysis (MGA), and fuzzy-set Qualitative Comparative Analysis (fsQCA) to uncover generational disparities in GAI acceptance. Findings reveal distinct challenges faced by different age groups, emphasizing that trust, usability, and perceived risks influence adoption patterns differently across cohorts. The study contributes to the growing theoretical discourse on GAI adoption in tourism and provides practical insights for tailoring GAI solutions to enhance user acceptance and satisfaction across generations