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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.

This research aims to explore the effect of change management on job satisfaction. A conceptual model involving knowledge management and resistance to change as moderators tested the relationships in the context of a developing country, India.

Data from 413 respondents from four important sectors – healthcare, education, manufacturing and information technology – were collected from southern India. First, the psychometric properties of the survey instrument were checked, and then hypotheses were tested using Hayes's PROCESS macros.

The results indicate that change management significantly predicts employee productivity and job satisfaction. Further, employee productivity mediated the relationship between change management and job satisfaction. This study also found that the resistance to change (first moderator) and knowledge management (second moderator) interacted with change management to enhance employee productivity.

This study has several contributions to the practitioners and academic scholars. The study has limitations, which are inherent in survey-based research, of common method bias and social desirability bias. However, the authors have taken adequate care to minimize these biases.

The three-way interaction (moderated moderated-mediation) tested in this research uniquely contributes to the literature on change management. To the best of the authors’ knowledge, this moderated moderated-mediation has been tested for the first time in the context of a developing country, India, and provides valuable insights into the practicing managers and change agents in bringing successful change in organizations.

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 study aims to analyse how the collective processing of the #MeToo legacy in the form of community discourses and activism conceptualises organisational accountability for sexual misconduct at work and enhances the development of new accountability instruments.

The study draws on social movement theory and the intellectual problematics of accountability, together with the empirical insights from two research engagement projects established and facilitated by the author.

The study reveals multiple dimensions of how post-#MeToo community activism impacted the conceptualisation of organisational accountability for sexual misconduct at work. The movement enhanced discourses prompting a new societal sense of accountability for sexual wrongdoings. This in turn facilitated public demands for accountability that pressured organisations to respond. The accountability crisis created an opportunity for community activists to influence understanding of organisational accountability for sexual misconduct at work and to propose new accountability instruments advancing harassment reporting technology, as well as an enhancing the behavioural consciousness and self-assessment of individuals.

The study addresses a topic of social importance in analysing how community activism arising from a social movement has transformed accountability demands and thus both advanced the conceptualisation of organisational accountability for sexual misconduct at work and established socially desirable practices for it. The study contributes to theory by revealing the emancipatory potential of community activism to influence organisational accountability practices and to propose new instruments at a moment of organisational hesitation and crisis of accountability.

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.

The author examine the performance of a number of high short interest stocks along with the prices of the GameStop stock and three major stock exchange indices, particularly for the period after the eruption of the Covid-19 crisis.

With the employment of the complexity–entropy causality plane approach, the author categorize the stock prices in terms of the level of informational efficiency.

The author reported that the efficiency level for the index of the high short interest stocks falls considerably, not only at the onset of the Covid-19 crisis but during the health crisis period at hand. This is translated into proof of less uncertainty in predicting the stock prices of these specific stocks. On the other hand, the GameStop prices exhibit the same behavior as those with the high short interest firms, but change considerably in the middle of the crisis. The reversal of the behavior, by obtaining higher informational efficiency levels, is attributed to the short squeeze frenzy that increased the price of the stock many times over. Among the stock market indices, the Dow Jones Industrial Average and the S&P 500 decreased their efficiency levels marginally, after the surge of the crisis, while the Russell 2000 index kept the level intact. The high and stable degree of randomness could be attributed to the measures taken concurrently by the Federal Reserve and the government immediately after the outbreak of the crisis.

This is one of the few studies that examine the impact of short selling behavior on the efficiency level of certain stocks' prices, particularly during the health public crisis. It provides an alternative approach to measuring quantitatively the degree of inefficiency and randomness.