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This study aims to explore the most salient contributors to residents' support for tourism. As such, the authors measure residents' fear and risk of coronavirus disease 2019 (COVID-19) and residents' animosity towards tourists as predictors of attitudinal, intentional and behavioural support for tourism in China, Malaysia, Kazakhstan and Iran.

An online survey of 1,318 respondents across four countries was conducted, with data analysed using structural equation modelling.

This study shows that residents' perceptions about tourism development vary in different countries based on the impact of COVID-19, even though some factors, such as perceived risk and fear of COVID-19, have a similar effect on residents' attitudes and intentions to support tourism.

Only residents from four countries participated due to the collaborative effort of researchers from these specific countries.

Insight into residents' perceptions and responses to COVID-19 can aid policymakers and managers in developing effective crisis recovery strategies.

The data from this study can serve as a foundation for future research to examine residents' attitudes and support towards tourism during the post-COVID-19 period.

Unlocking the unrevealing of residents' perceptions and coping mechanisms towards tourists during the pandemic, this research shines a light on their crucial role in the revival of the tourism industry. With an exclusive focus on residents' attitudes and behaviours, this study stands out amongst the few that delve into this crucial aspect of post-pandemic recovery.

Consumer animosity in the wake of Russia–Ukraine war has gained significance in consumer behavior research. In this line, this study aims to examine the critical influence of consumer animosity in developing brand attitude and its ensuing outcomes – brand boycott behavior and brand-country image – the moderating role of perceived intrusiveness on the relationship between consumer animosity and brand attitude and the moderating role of altruism between brand attitude and behavioral outcomes.

Using the data obtained from 411 European consumers, data analysis was performed using structural equation modeling to examine the proposed relationships.

The findings revealed a strong negative influence of consumer animosity on brand attitude, which eventually leads to brand boycott behavior and a negative brand-country image. This work also confirmed the boundary condition of perceived intrusiveness on the effect of consumers’ animosity on brand attitude. Furthermore, the authors validated the moderating effects of altruistic behavior on the relationships between brand attitude and boycott behavior and brand-country image.

This study offers theoretical, practical and policy implications in international marketing domain. The authors acknowledged a few shortcomings and made some recommendations for future research.

In the context of the Russian–Ukraine war, this study creates a novel conceptual framework based on consumer animosity. In the current scenario, provide critical perspective on how European customers’ animosity to Russian brands develops their adverse attitudes. This study also highlighted the alternatives to Russian brands when they were boycotted during the Russia–Ukraine war.

Purpose – This chapter evaluates the shift in black voter support from Mayor Adrian Fenty to Mayor Vincent Gray in the 2010 DC mayoral election. The complexities of new black leadership are used as a theoretical framework for understanding the salience of gentrification, crossover racial appeal, campaign tactics, and policy implementation in the mayoral transition from one black candidate to another.Design/methodology/approach – This study used polling data from The Washington Post one month prior to the 2010 DC Democratic primary (The Washington Post, 2010). Using a sample of 630 respondents, multinomial logistic regression was used to measure the extent to which substantive policy positions, racial crossover appeal, and/or personal traits factor into voter preferences.Findings – The results reveal that a combination of personal, racial, and substantive factors contributed to Adrian Fenty’s defeat in 2010. The implications suggest a reexamination of the significance of symbolic representation in voter candidate preferences and the shifting complexity of black leadership in the procurement of black substantive representation.Originality/value – This chapter captures the transitional nature of black leadership in order to distinguish viable strategies for blacks to secure both elected office and black empowerment, while offering a more nuanced approach to analyzing the changing nature of the black voting calculus in the United States.

This study aims to identify the key factors that influence the successful implementation of clean energy interventions in low‐income urban communities in South Africa.

The study took the form of three phases: an explorative, primary data‐gathering process through semi‐structured interviews where secondary data were made available by respondents in the form of official project reports; data analysis of the primary qualitative, explorative, semi‐structured interview data and the secondary documentary data obtained with consent; and identifying and describing the key factors which influence the implementation of clean energy interventions in low income‐urban communities.

The results indicated that although many important factors were identified throughout this research, the ultimate success of the implementation of clean energy interventions in these communities lies not only in the clean energy interventions themselves, but rather hinges on nine key factors: project planning and development; community participation; community employment; political buy‐in; communication and engagement; beneficiary criteria; installation and maintenance; project management; and technology and suppliers.

The findings from this study provide useful insights to all stakeholders involved in the development and implementation of clean energy interventions in low‐income urban communities.

Tourism has been a key force in promoting festival growth and expansion. Towns, villages and cities are increasingly keen to share their culture, environment and spending opportunities with visitors by the promotion of festivals. One such festival is held annually in Lamu Old Town, a world heritage site in Kenya. The purpose of the paper is to highlight the importance of hosting sustainable events in Kenya.

The subject scope is on maintaining sustainable events within local communities with an aim of improving the local economy.

Results suggest that although festivals may have the potential to provide opportunities for sustainable local economic development, such opportunities frequently remain unexploited. For these reasons, festivals' engagement with tourism forces in Lamu need to be carefully managed, both in the interests of sustaining festivals and of promoting sustainable approaches to tourism development.

In addition to their cultural and social values, cultural festivals have emerged as an instrument for tourism development, tourism seasonality expansion, city image improvement and boosting regional economies. Therefore, the implications will be to invest in festivals development and community engagement and present the tourist with authentic experiences.

This article is valuable to policy makers as not enough research has been done on the importance of this festival and the need to provide a significant role to the local people in Lamu in communicating their identity, history and cultural practices.

COVID-19 impacts different groups and subsectors of tourism unevenly, with massive vulnerabilities in tourism operating systems among urban tourism areas. Different types of COVID-19 related crises depend on isolation or returning to “normal” in various urban areas. Boosting domestic tourism activities to spark resilience before international demand returns is essential to stimulating local demand worldwide. This paper aims to build upon a non-exhaustive review of the scientific literature about tourism resilience issues to see the bigger picture of tourism resilience on three levels worldwide.

This research applies a content analysis technique to collect research data from the latest scientific papers on tourism resilience issues. This study will use searching and filtering on the Scopus web database and based on the VOSviewer algorithm to identify useful insights and determine a framework for tourism resilience issues on three levels.

The outcome of three aspects of resilience, which mainly relate to the development of tourism industry sectors (transportation, accommodation, food and beverage) and other industries (research and education) connected to urban tourism resilience, could be useful for future researchers to explore less-studied issues and policymakers’ future application.

The research data are mostly from literature reviews of papers that may not interpret all contemporary resilience issues and the research data are based on urban areas alone.

The research idea is fresh and adds new knowledge to professionals’ or policymakers’ future applications.

Homelessness has many causes and also is stigmatized in the United States, leading to much misunderstanding of its causes and what policy solutions may ameliorate the problem. The problem is of course getting worse and impacting many communities far removed from the West Coast cities the authors examine in this study. This analysis examines the socioeconomic variables influencing homelessness on the West Coast in recent years. The authors utilize a panel fixed effects model that explicitly includes measures of healthcare access and availability to account for the additional health risks faced by individuals who lack shelter. The authors estimate a spatial error model (SEM) in order to better understand the impacts that systemic shocks, such as the COVID-19 pandemic, have on a variety of factors that directly influence productivity and other measures of welfare such as income inequality, housing supply, healthcare investment, and homelessness.

The purpose of this paper is to identify and examine the antecedents and consequence of regional animosity and their impacts on regional media preference.

Computer-assisted telephone interviews were conducted with randomly selected adult residents in Northern (206) and Southern (201) Taiwan. The data were analyzed using structural equation modeling in LISERAL and fuzzy-set qualitative comparative analysis.

The findings reveal that perceived economic threat, economic hardship and dissatisfaction with government economic policy increase home region identification and perceived discrimination, which in turn lead to heightened animosity toward the opposite foreign region. This increasing animosity then affects consumer choice over home region media compared to media originated from the other region.

The findings suggest that military and political tensions alone cannot explain why consumers would harbor animosity between one region and another within the same country due to social and economic reasons. The constructs chosen in this research should be seen only as a snapshot but other variables such as a region’s natural environment and its human factors are not taken into account. Future studies would benefit from inclusion of these variables and a wider geographical scope.

Several implications are extracted to help marketing and branding personnel better shape their marketing, communication and media strategies, as well as to help government policy makers and political parties revise existing policy to reduce the animosity.

By investigating animosity within borders, this study provides fresh insights to help explain how economic factors contribute to increased regional animosity through the mediating effect of regional identification and perceived discrimination. The findings broaden existing understanding about the concept of animosity and its impact on consumer behavior.

This study aims to address the macroeconomic factors effect on the travel and leisure (T&L) industry throughout Europe within the context of the Russo-Ukrainian war that have started on 24 February 2022. Specifically, top tourist destinations are analysed, such as Spain, France, Italy and Portugal, as well as Europe in general.

This study adopts the panel regression approach based on the data that is provided on a daily basis, and it covers a period of nearly 14 months, starting on 24 February 2022 and ending on 15 April 2023.

The findings indicate that the European T&L sector is impacted by macroeconomic variables. Namely, the T&L sector is significantly impacted by interest rates, geopolitical risk, oil and gas, whereas inflation has a muted effect, indicating a comparatively lesser influence on the dynamics of the industry. This research contributes to existing literature by providing one of the first quantitative analyses of how macroeconomic factors impact the European T&L business in the context of a geopolitical conflict.

A study of the Russian–Ukrainian war may be limited by a number of research constraints. The continuing nature of the conflict, the lack of communication between the parties and potential political prejudice are some of these difficulties. Any research on the Russo-Ukrainian war should be done with these limits in mind.

Macroeconomic variables play a significant role on the T&L sector development; therefore, when designing resilience strategies, they need to be accounted for.

To the best of authors’ knowledge, this is one of the first studies to analyse how macroeconomic factors affected the European T&L business using a quantitative approach. The macroeconomic variables that were taken into account in this study included interest rates, inflation, oil and petrol prices, as well as the geopolitical risk index.

This paper aims to examine the concept of “consumer animosity”, model its antecedents, and assess its influence on intention to purchase.

Survey questionnaires were distributed by a quasi‐random sample of school pupils across Taiwan to an adult member of their household, for completion and return. A return rate of 70 percent yielded 456 usable questionnaires, the data from which were analysed by the LISREL structural equation modelling software.

The results suggest that perceived personal economic hardship and the normative influence of members of a consumers' reference group have a positive impact on the phenomenon of consumer animosity, which in turn negatively affects the intentions of consumers in Taiwan to purchase products originating in mainland China and Japan. Contradicting previous studies, consumer animosity was found to be dependent on judgments of product quality.

The research model was built from data collected by non‐probability sampling in a single country. There was no evidence of sampling bias, but future studies would benefit from inclusion of more independent variables and a wider geographical scope.

The findings contain many practical lessons for planners of export marketing strategy.

Two existing theories of social behaviour are integrated with the concept of consumer animosity to explain consumption choices in an international context.