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The existence of a wedding organizer plays an essential role in realizing the dream wedding of the bride and groom and the progression of a family-centred structure. The wedding organizer industry is one of the business sectors that experienced a significant impact during the COVID-19 pandemic due to various policies restricting mobility and interaction. This study aims to answer research questions: What challenges are experienced by wedding organizers in the context of COVID-19? What factors drive entrepreneurial resilience for family business continuity in the face of the COVID-19 pandemic?

This study uses a qualitative research design through semi-structured in-depth interviews with eight wedding organizers in Indonesia with questions centred around the context of the family in the event.

This study found several challenges faced by wedding organizers, including personal barriers and environmental challenges due to the COVID-19 pandemic. The four drivers of entrepreneurial resilience of wedding organizers in dealing with the COVID-19 crisis include entrepreneurial motivations, entrepreneurial characteristics, firm strategies, and environmental support. These factors create a positive interaction effect for the continuity of the wedding event organizers.

This study contributes to the literature by providing valuable insights into the broader entrepreneurial resilience issue and offering practical recommendations for wedding organizers and other entrepreneurs facing similar challenges. This study has both academic and practical implications in providing event management guidance and future avenues of research in this field.

This chapter examines the connections between race and class divisions and examines how they shape racial inequities in the distribution of resources, power and privilege. Throughout history, racial identity has been a key factor in determining a person's position in modern capitalist societies. As such, issues of race and class have preoccupied sociologists and other scholars with diverse ideological orientations. This is highlighted in debates around the nexus of race and class in the production of racial structures, laws and institutions that legitimate and perpetuate the normalisation and centrality of whiteness. This chapter summarises some of the historical and ongoing debates, providing a synthesis of how race and class divisions continue to shape contemporary intergroup relations and social policy. It delves into racial capitalism and how race intersects with other social identities to determine socio-economic hierarchy in many western countries.

Introduction: In today’s world of increasing competition, diminishing product differentiation, higher customer expectations, easy product replacements and lowering brand loyalty, organisations are evolving new marketing strategies for economic, societal and sustainability. Cause-related marketing (hereafter referred to as CRM), a strategic sustainable philanthropic practice, is the upcoming form of CSR. CRM plays an instrumental role in achieving self-brand connection and brand loyalty.

Purpose: To explore, integrate and interconnect concepts of CRM and self-brand connection to get more insights into the imperative role of CRM strategy in developing self-brand connections that can lead to brand loyalty in the most sustainable way. For this, CRM and self-brand connection, as proposed by societal marketing and branding literature, were explored. This chapter is a propositional inventory where the researcher has explored the antecedents of CRM strategy and its role in developing brand loyalty through self-brand connection.

Methodology: This chapter is centred upon the existing literature on sustainability, CRM and branding to understand better the relationships between dimensions and consequences of CRM and its interlinkage with brand loyalty.

Findings: The literature recommends that selected dimensions: Cause-brand fit, product type, altruistic motivation and brand credibility determine the effectiveness of CRM strategy. It also establishes the profound impact of attitude towards brand, brand perception and brand distinctiveness on self-brand connection. A theoretical framework based on the existing literature represents an amalgamated groundwork for developing effective, sustainable CRM strategies in conjunction with the self-brand connection. The proposed framework is distinct as no study conjoins the abovementioned concepts and aims to comprehend whether this integration is brand loyalty.

Despite Bangladesh’s continued attempts, gender disparity in the workplace has long been a concern, and progress has been slow. Studies conducted earlier indicate that working women in Bangladesh experience an unwelcoming work environment, leading to unequal pay and limited opportunities for their career growth. Academic literature focuses little on the connection between gender and the physical work environment. This chapter focuses on the connection between the masculinist culture of organizations, how work is carried out, and workplaces are set up, illuminating the crucial role played by the built environment in maintaining gender equality. Infrastructure, spatial design, safety measures, amenities, and the biased culture often influence the obstacles to women’s long-term success in the workplace. This chapter investigates and comprehends the constraints female employees encounter in Bangladesh during their work by scrutinizing the influence of the physical space and the biased socio-psychological environment. As women’s long-term professional progress depends on how these elements are interrelated, improving the environment is the first step toward a fairer and more empowered work environment. A qualitative approach has been used in this study. Seventy-eight Bangladeshi graduate, working women have participated in this research. The results show that, regardless of efforts, the environment in Bangladeshi workplaces is inhospitable, directly affecting women’s careers. Building a welcoming workspace accommodating all genders is crucial for creating gender parity and promoting long-term professional growth. Therefore, this research suggests that the government should capitalize on successful efforts and investigate alternative techniques to improve this issue.

The purpose of this paper is to develop an index for measuring urban house price affordability that integrates spatial considerations and to explore the drivers of housing affordability using the post-least absolute shrinkage and selection operator (LASSO) approach and the ordinary least squares method of regression analysis.

The study is based on time-series data collected from 2005 to 2021 for 256 prefectural-level city districts in China. The new urban spatial house-to-price ratio introduced in this study adds the consideration of commuting costs due to spatial endowment compared to the traditional house-to-price ratio. And compared with the use of ordinary economic modelling methods, this study adopts the post-LASSO variable selection approach combined with the k-fold cross-test model to identify the most important drivers of housing affordability, thus better solving the problems of multicollinearity and overfitting.

Urban macroeconomics environment and government regulations have varying degrees of influence on housing affordability in cities. Among them, gross domestic product is the most important influence.

The paper provides important implications for policymakers, real estate professionals and researchers. For example, policymakers will be able to design policies that target the most influential factors of housing affordability in their region.

This study introduces a new urban spatial house price-to-income ratio, and it examines how macroeconomic indicators, government regulation, real estate market supply and urban infrastructure level have a significant impact on housing affordability. The problem of having too many variables in the decision-making process is minimized through the post-LASSO methodology, which varies the parameters of the model to allow for the ranking of the importance of the variables. As a result, this approach allows policymakers and stakeholders in the real estate market more flexibility in determining policy interventions. In addition, through the k-fold cross-validation methodology, the study ensures a high degree of accuracy and credibility when using drivers to predict housing affordability.

The study aims to investigate the presence of herding behavior in the stock market of UK with a special emphasis on news sentiment regarding the economy. The authors focus on the news sentiment because in the current digital era, investors take their decision making on the basis of current trends projected by news and media platforms.

For empirical modeling, the authors use machine learning models to investigate the presence of herding behavior in UK stock market for the period starting from 2006 to 2021. The authors use support vector regression, single layer neural network and multilayer neural network models to predict the herding behavior in the stock market of the UK. The authors estimate the herding coefficients using all the models and compare the findings with the linear regression model.

The results show a strong evidence of herding behavior in the stock market of the UK during different time regimes. Furthermore, when the authors incorporate the economic uncertainty news sentiment in the model, the results show a significant improvement. The results of support vector regression, single layer perceptron and multilayer perceptron model show the evidence of herding behavior in UK stock market during global financial crises of 2007–08 and COVID’19 period. In addition, the authors compare the findings with the linear regression which provides no evidence of herding behavior in all the regimes except COVID’19. The results also provide deep insights for both individual investors and policy makers to construct efficient portfolios and avoid market crashes, respectively.

In the existing literature of herding behavior, news sentiment regarding economic uncertainty has not been used before. However, in the present era this parameter is quite critical in context of market anomalies hence and needs to be investigated. In addition, the literature exhibits varying results about the existence of herding behavior when different methodologies are used. In this context, the use of machine learning models is quite rare in the herding literature. The machine learning models are quite robust and provide accurate results. Therefore, this research study uses three different models, i.e. single layer perceptron model, multilayer perceptron model and support vector regression model to investigate the herding behavior in the stock market of the UK. A comparative analysis is also presented among the results of all the models. The study sheds light on the importance of economic uncertainty news sentiment to predict the herding behavior.

This research aims to examine the factors that influence customers' product return intentions and proposes that YouTube product reviews can mitigate customers' desire to return a product.

The proposed theoretical research model and hypothesized relationship were investigated using a quantitative process. This study used 302 data from Indonesian young adult respondents to examine the structural model, which was analyzed using the SmartPLS 3.2 software package.

The results show that YouTube product reviews, product fit uncertainty and customer satisfaction are the key determinants of customers' product return intention. Furthermore, the results show that the credibility of YouTube product reviews has a major impact on customers' familiarity with a product, satisfaction and the likelihood of returning goods to sellers.

In the e-commerce industry, increasing the use of YouTube product reviews will help businesses eliminate unnecessary product returns. Sellers are also encouraged to collaborate with YouTube producers to review specific products, which can benefit companies by raising brand awareness and gaining customer feedback. Furthermore, YouTube online product reviews can help consumers avoid having an unpleasant shopping experience that causes emotional reactions and lowers satisfaction.

Most research has not considered antecedents in observing the product return phenomenon; this study observes a prerequisite of consumer product returns (i.e. information asymmetry and product familiarity) and investigates the relationships between YouTube product reviews, customer satisfaction and product return intention.

The study's primary purpose is to establish the direct and indirect roles of word-of-mouth communication (WOM) in initiating and maintaining consumer loyalty in the bottom of pyramid (BOP) markets in the Indian context. In addition, the study seeks to evaluate the conditions (viz. extent of media usage, brand distribution intensity and brand social connections) under which WOM leads to the initiation and maintenance of consumer brand loyalty.

The study hypotheses were formulated following the social identity theory. Later, a questionnaire-based survey was conducted among 898 rural BOP consumers. Structural equation modelling technique was applied to test the study hypotheses.

Results suggested a positive effect of WOM on brand credibility and self-brand connections-indicative of the initiation of strong cognitive and affective relationships respectively. Brand credibility and self-brand connections also mediated the paths between WOM and brand loyalty-indicative of the maintenance and continuation of strong affect-laden relationships. These indirect relationships were moderated by the extent of media usage, brand distribution intensity and brand social connections.

This is among the first studies that holistically evaluate the role of WOM in developing customer loyalty to rural BOP consumers against the backdrop of the systemic deficiencies in these markets.