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This study aims to investigate consumer perceptions of inauthenticity due to adulteration of a narrative brand ending by using the research context of the final season and ending of the television series, Game of Thrones.

Two data sets totalling 2,032 online comments detailing consumer reactions to the final season of Game of Thrones were analysed using thematic analysis and human interpretive analysis. The coding was an iterative and continuous process, and posts were returned to and re-examined to refine codes and groupings as the analysis progressed.

The results indicate consumers perceived the ending of the eighth and final season of the television series, Game of Thrones, did not meet their expectations and was not authentic due to rushed writing and illogical character and plot developments. Consumers judged this adulteration was so great that it was a moral violation and transgression. Consumers also sought to assign blame for the inauthenticity, which they attributed to the writers and showrunners, who became the subject of revenge behaviours.

This study indicates consumers of narrative brands, due to their strong emotional attachments to their characters and storyworlds, may perceive unexpected and extensive changes to them as moral violations and transgressions and thus inauthentic. Consumers establish the authenticity of a narrative brand by regularly scrutinising narrative and character development against their expectations as shaped by prior narrative content. Due to their emotional attachment, consumers may attempt to attribute blame for the inauthenticity. The findings have not been established in prior research, and inauthenticity in a narrative brand context is also explored for the first time.

Factor investment is booming in global asset management, especially environmental, social, and governance (ESG), dividend yield, and volatility factors. In this chapter, we use data from the US securities market from 2003 to 2019 to predict dividends and volatility factors through machine learning and historical data–based methods. After that, we utilize particle swarm optimization to construct the Markowitz portfolio with limits on the number of assets and weight restrictions. The empirical results show that that the prediction ability using XGBoost is superior to the historical factor investment method. Moreover, the investment performance of our portfolio with ESG, high-yield, and low-volatility factors outperforms baseline methods, especially the S&P 500 ETF.

This research investigates Airbnb’s financial implications in emerging economies and their potential to influence stock market profitability.

Employing a multifaceted approach, the study combines parametric and nonparametric tests, robustness checks, and regression analysis to assess the impact of Airbnb’s announcements on emerging economy stock markets.

Airbnb’s announcements affect emerging economies' stock markets with a distinct pattern of cumulative abnormal returns (CAR): negative before the announcement and positive afterward. Informed investors strategically leverage this opportunity through short selling before the announcement and acquiring positions following it. Regression analysis validates these trends, revealing that stock index returns and inbound tourism affect CAR before announcements, while GDP growth influences CAR afterward. Announcements pertaining to emerging economies exert a more pronounced impact on stock indices compared to city-specific announcements, with COVID-19 period announcements demonstrating greater significance in abnormal returns than non-COVID-19 period announcements.

This study advances existing literature through a comprehensive range of statistical tests, differentiation between emerging countries and cities, introduction of five macroeconomic variables, and reliance on credible primary Airbnb data. It highlights the potential for investors to leverage Airbnb announcements in emerging markets for stock market profits, emphasizing the need for adaptive investment strategies considering broader macroeconomic factors.

Intimate partner violence (IPV) is a prevalent public health issue impacting women’s physical and mental health and psychosocial walks of life across cultures and societies. Despite this, many women continue to stay in such relationships. This study aims to examine, from a constructionist perspective, why women stay in abusive marriages and what factors prevent them from taking appropriate actions. Also, women’s experiences of surviving IPV were explored.

Using a descriptive qualitative research method, the authors recruited and interviewed 17 women from northern India. The data were analysed thematically.

The underlying themes that emerged in response to the research questions were the lack of family support, societal ideals, the culture of normalizing violence, fear, love and hope and emotional turmoil. The reason for women not to leave abusive marriages corresponds to the broader social constructions of marriage and women’s perceived positions in family and society.

Research on women’s decision to stay in abusive relationships is limited, especially from the Global South. This study generates fresh evidence on the subject matter, specifically from the Indian context. The study result contributes uniquely by approaching the problem of staying in an abusive relationship from a social constructionist perspective. This study has implications for policy and psychosocial interventions to bring progressive changes in the lives of women experiencing IPV.

Patient-centric exchanges, a major type of Health Information Exchange (HIE), empower patients to aggregate and manage their health information. This exchange model helps patients access, modify and share their medical information with multiple healthcare organizations. Although existing studies examine patient engagement, more research is required to investigate patients' attitudes and willingness to play an active role in patient-centered information exchange. The study's main objective is to develop a model based on the belief-attitude-intention paradigm to empirically examine the effects of patients' attitudes toward engagement in care on their willingness to participate in patient-centric HIE.

The authors conducted an online survey study to identify the antecedents and consequences of patients' attitudes toward engagement in care. To empirically test the research model, the authors collected data from a national sample (n = 357) of individuals in the United States. The data were analyzed using structural equation modeling (SEM).

The proposed model categorizes the antecedents to patients' attitudes toward engagement in patient-related and healthcare system factors. The results show that patient-related factors (perceived health literacy and perceived coping ability) and health system factors (perceived experience with the healthcare organization and perceived patient-provider interaction) significantly shape patient attitude toward care management engagement. The results indicate that patients' attitudes toward engaging in their healthcare significantly contribute to their willingness to participate in medical information sharing through patient-centric HIE initiatives. Moreover, the authors’ findings also demonstrate that the link between patient engagement and willingness to participate in HIE is stronger for individuals who perceive lower levels of privacy and security concerns.

The authors validate the proposed model explaining patients' perceptions about their characteristics and the healthcare system significantly influence their attitude toward engaging in their care. This study also suggests that patients' favorable attitude toward engagement can bring patient-centric HIE efforts onto a path to success. The authors’ research attempts to shed light on the importance of patients' roles in adopting patient-centric HIE initiatives. Theoretical and practical contributions of this study are noticeable since they could result in a deeper understanding of the concept of patient engagement and how it may affect healthcare services in an evolving digital world. The authors’ findings can help healthcare organizations provide public citizen-centric services by introducing user-oriented approaches in healthcare delivery systems.

Contractual services are characterized by features such as termination fees, long-term commitment, and complex terms. When customers find better deals from other providers, they may want to switch, but contractual obligations prevent them from doing so. Thus, this study aims to draw upon the stimulus-organism-response paradigm and theories of emotion regulation to examine how punitive switching costs (PSCs) can evoke negative emotions (NEs) from customers and, consequently, lead to negative behavioral responses in contractual service settings.

This study collected data from 395 customers of telecommunications companies, fitness centers, tutoring firms/centers, and house leasing companies in Taiwan. We tested the hypotheses using partial least squares structural equation modeling via SmartPLS 3.0.

The results show that NEs partially mediate the relationship between PSC and customers’ switching intention and negative word-of-mouth. This study also finds alternative attractiveness (AA) and service recovery (SR) do not moderate the PSCs–NEs relationship, but AA does directly influence NEs.

First, this study contributes to the literature on switching costs by exploring how PSC exerts a detrimental impact on behavioral responses. Second, this study adds to the literature on service failures by identifying the mediating role of NEs in such a relationship.

Higher education institutions (HEIs) are critical in the sustainability agenda, not only as catalysts for promoting sustainability practices but also because their activities have substantial social, economic and environmental impacts. Yet there is limited research that examines their sustainability performance. This paper aims to investigate the factors that are associated with sustainability performance in HEIs. Specifically, drawing from the stakeholder theory and exploiting Ullmann’s (1985) conceptual framework, this study examines the association between sustainability performance and stakeholder power, strategic posture and financial slack resources.

The authors draw the sample from the People & Planet University Green League Table for the period 2011–2019 and use the generalised estimating equations for the modelling approach.

This study finds that stakeholder power, in particular, funding grant income, tuition fee income and student and staff numbers, are positively associated with sustainability performance. In relation to strategic posture, this study finds that sustainability performance is negatively associated with governing body independence and gender diversity, and positively associated with internal structures. Finally, regarding financial slack resources, this study finds that surplus income (staff costs) is positively (negatively) associated with sustainability performance.

To the best of the authors’ knowledge, this research contributes to several existing literature focusing on the not-for-profit sector by documenting, for the first time, the role of stakeholder power, strategic posture and slack financial resources on sustainability performance.

The paper includes relevant implications for HEI managers and regulators for promoting sustainability.

These results contribute to the literature on the factors influencing sustainability performance.

This chapter proposes a conceptualization of joyful leadership as a unique leadership style and identifies a future research agenda to further explore the concept. While the concept of joyful leadership appears repeatedly in the nonacademic literature, including in blogs, vlogs, and podcasts, there is limited reference to joyful leadership in the academic literature highlighting a lack of academic rigor around the concept. Joyful leadership is proposed as a unique leadership style with specific patterns of behavior demonstrated by the leader. This research draws on understandings of emotion, positive affect, and leadership in the academic literature to develop a conceptualization of joyful leadership.

The proposed conceptualization is based on an extensive literature review drawing from both the leadership field and the study of emotions including various theoretical perspectives from these diverse fields.

Based on discrete emotion theory a conceptualization of joyful leadership as a unique leadership style is presented, identifying key patterns of behavior associated with joyful leadership including discrete autonomic patterns, actions, nonverbal signals, and identified feelings.

This research outlines a conceptual model to provide an understanding of the concept of joyful leadership as a unique leadership style. It draws on the current study of emotion, positive affect, and leadership and more specifically examines the concept of joyful leadership aligned to discrete emotion theory. This particular theory of emotion, when examined in relation to leadership, provides a basis for the concept of joyful leadership as a leadership style and the basis for its proposed characteristics and outcomes.

Despite increasingly persuasive women-focused marketing of gambling products, there has only been limited investigation around women sports betting. Men remain the focus of much of the conversation about sports betting as they have generally been found to be the most active sports bettors and the most at risk of experiencing harms associated with their behaviour. This chapter aims to fill this gap by exploring the characteristics of young women sports bettors in the United Kingdom and the relationship between sports betting and the experience of gambling harms. To do this, we created two models of analysis. Our analysis is based on data from the first wave (2019) of the Emerging Adults Gambling Survey (EAGS) dataset (n = 3,549). The EAGS is a non-probability longitudinal survey that includes individuals between the ages of 16 and 24 who were residents in Britain at the time of data collection. Firstly, we examined the associations between women sports bettors and several factors identified as important predictors of sports betting. Secondly, we sought to understand the relationship between women's sports betting and the harms associated with this activity. From these models, we found that women's sports betting was most reliably predicted according to fandom and peer influence. We also found that women sports bettors were more at risk of experiencing harms associated with difficulties with family and friends than women gamblers using other products.