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One of the most marginalized communities in India is the Lesbian, Gay, Bisexual and Transgender (LGBT) community which commonly experiences discrimination. Many studies have countered that the LGBT community faces high discrimination in the banking and financing industry. As a result, this study concentrates on this marginalized community and its acceptance and continuation habit regarding mobile wallets. Consequently, this study has considered continuance intentions as a response to confirm the progress of the mobile-wallet industry. Also, this study tried to study the relationship between behavioral intention (BI) and continuous intention (CI) which is seriously lacks in the library of literature. The research operationalized the stimulus–organism–response (SOR) framework for the conceptual model and surveyed 100 self-proclaimed members of the LGBT community in India. The analysis has been done using the partial least structure (PLS). The findings demonstrate that variables like perceived trust (PT) directly influence the BI. On the other hand, variables like perceived ease of use (PEoU), social influence (SI), and satisfaction (S) doesn’t influence BI of the LGBT Community. The main outcome was a favorable association between BI and CI. It will help the stakeholders to understand how important this new market avenue is and how it can be explored. To ensure safe and secure transactions, a group think tank composed of important parties (financial institutions, mobile-wallet providers, the government, security specialists, etc.) should make recommendations. Mobile-wallet providers will attain benefit from this study’s understanding of user categories and ability to tailor their service offers as per the community.

This chapter provides a comprehensive review of several social-cognitive models that have been lately applied in public health and donation contexts. The current review included the elaboration likelihood model (ELM), the prototype willingness model (PWM), and the organ donation model (ODM). This review also details and discusses the main strengths and limitations of these models. Importantly, this review helps to identify the gap of the current social marketing and health-care literature. In particular, this chapter provides a solid theoretical foundation and has initiated further pathways for future researchers who are interested in the fields of public health and social change literature, organ donation context, as well as social-cognitive decision-making models. The significance of this review is defined by advancing public health practitioners, social marketing communicators, and educationalists, evidencing how conceptual models can inform and guide the research.

Drawing on the social cognitive theory, this study investigated the effect of mentors' drinking norms on their protégés' alcohol misuse by focusing on the mediating role of conformity drinking motives and the moderating role of moral disengagement. We conducted a three-wave survey of 148 mentor–protégé dyads and found that mentors' drinking norms were positively related to their protégés' alcohol misuse and that this relationship was fully mediated by conformity drinking motives. Moreover, the moderated mediation model revealed that moral engagement strengthens the main effects of mentors' drinking norms on conformity drinking motives and the indirect effects of mentors' drinking norms on protégés' alcohol misuse via enhanced conformity drinking motives. The theoretical and practical implications are discussed.

This chapter elaborates on the role of clusters and innovational networks in Russia and interprets that the future growth of Russia’s economy depends on the development of clusters and innovational networks. We substantiated that clusters and innovational networks possess considerable potential in the sphere of provision of sustainable growth of Russia’s economy. Today, this potential is not used due to unequal distribution of clusters and innovational networks on Russia’s vast territory and due to their being at the initial stage of development – despite their prolonged period of existence. However, even in the current conditions, clusters and innovational networks make a significant contribution to Russia’s GDP (15.58% in 2018). By 2024, by implementing our described optimal scenario of clusters and innovational networks development, it would be possible to expand Russia’s GDP by 15 times, which will allow increasing the country’s GDP by 2.5 times. This positive effect will be achieved due to the provision of balance and stability of economic growth, which will make it more sustainable. Clusters and innovational networks should become a basis for sustainable growth of Russia’s economy. We recommend a scenario of sustainable growth based on a more equal distribution of clusters and innovational networks across Russia and a quicker development of clusters and innovational networks via more extensive involvement of private businesses.

Sayings like “Do what you love, and you’ll never work a day in your life” epitomize Western society’s emphasis on both the importance and assumed positive nature of passion for work. Although research has linked passion and increased well-being, growing anecdotal evidence suggests the potential for negative individual outcomes of work passion, including decreased well-being and increased stress and burnout. In the present chapter, the authors integrate the Dualistic Model of Passion (which consists of harmonious and obsessive passion), identity theory, and identity threat to describe the paradox of passion, in which individuals overidentify with the target of their passion (i.e., work), resulting in the “too much of a good thing” effect driven by excess passion of either type. The authors thus provide a novel theoretical lens through which to examine the different reactions that individuals may enact in response to threats to passion-related identities, including how these responses might differentially impact well-being, stress, and burnout. The authors conclude by offering future directions for research on the paradox of passion.

Introduction: Financial development has a direct impact on the housing market by facilitating access to credit. The increase in housing loans resulting from the relaxation of the credit constraint causes an increase in housing demand and house prices. Purpose: This study aims to examine the relationship between financial development and house prices in Turkey, using the variables: the domestic credit to the private sector and total housing and consumer credits. Methodology: To determine any long-run relationship between financial development and house prices, the autoregressive distributed lag methods are used, covering the selected variables such as real GDP, inflation, mortgage interest rate, and stock price from 2010Q1 to 2020Q2. Findings: The study’s findings show that both variables representing financial development have a statistically significant and substantial positive effect on house prices. Besides, the selected macroeconomic variables have the theoretically expected impact on house prices.

By the end of this chapter, you should be able to demonstrate an understanding of:

The way in which consumers use mobile devices to engage with fashion retailers online.

What external and internal stimuli can be used to engage with consumers and encourage online interaction?

The lens in with the Stimulus–Organism–Response (SOR) model is applied to understand consumer behaviour.

How marketing can used both to trigger consumption activities and to encourage more sustainable behaviours?

The increasing accumulation of synthetic plastic waste in oceans and landfills, along with the depletion of non-renewable fossil-based resources, has sparked environmental concerns and prompted the search for environmentally friendly alternatives. Biodegradable plastics derived from lignocellulosic materials are emerging as substitutes for synthetic plastics, offering significant potential to reduce landfill stress and minimise environmental impacts. This study highlights a sustainable and cost-effective solution by utilising agricultural residues and invasive plant materials as carbon substrates for the production of biopolymers, particularly polyhydroxybutyrate (PHB), through microbiological processes. Locally sourced residual materials were preferred to reduce transportation costs and ensure accessibility. The selection of suitable residue streams was based on various criteria, including strength properties, cellulose content, low ash and lignin content, affordability, non-toxicity, biocompatibility, shelf-life, mechanical and physical properties, short maturation period, antibacterial properties and compatibility with global food security. Life cycle assessments confirm that PHB dramatically lowers CO₂ emissions compared to traditional plastics, while the growing use of lignocellulosic biomass in biopolymeric applications offers renewable and readily available resources. Governments worldwide are increasingly inclined to develop comprehensive bioeconomy policies and specialised bioplastics initiatives, driven by customer acceptability and the rising demand for environmentally friendly solutions. The implications of climate change, price volatility in fossil materials, and the imperative to reduce dependence on fossil resources further contribute to the desirability of biopolymers. The study involves fermentation, turbidity measurements, extraction and purification of PHB, and the manufacturing and testing of composite biopolymers using various physical, mechanical and chemical tests.

Customer experience (CX) has become a major concern of business managers around the world and is considered a determinant factor of continuing corporate success. Despite the growing number of research studies focusing on the topic, knowledge remains underexamined in general, and specifically in terms of online users. Understanding how online platforms inspire travel experience is increasingly pertinent as visual contents acquire insignificance. This is especially relevant when travel is restricted such as during the COVID-19 outbreak. Nevertheless, there is a gap in the literature research on online CX in online visitor attractions. The study aimed to investigate the visitors' reviews of online visits during the lockdown. The research has followed the Netnography approach as modern qualitative research to understand the online CX of visiting virtually the attractions.

The results revealed three dimensions of cyber-tourist experiences related to the tourism-driven with its four subdimensions, the emotional reaction and expectation, and satisfaction and behavior intentions. The study adds to the better knowledge of the modern research methods dealing with the cyber-customer experience (CCX) by examining the Netnography method.

This research is a pioneering attempt to mitigate the impact of COVID-19 on tourists' experience and to highlight the opportunities for tourism practitioners to profit from the online presence, to be more accessible, and to increase their traffic to guaranty their online visibility.