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This chapter is part of a strand of studies dedicated to tourism events and territorial marketing strategies and focuses on the role of communication in an event-based strategy. Events can attract tourist flows, spread the territorial image, stimulate investment, and contribute to the territorial brand. Therefore, their role becomes increasingly important for an effective territorial and tourism marketing strategy. In the events sector, communication plays a key role in shaping marketing policies, which increasingly involve interaction between actors and the use of technology. To build and communicate an event is essential to implement social media marketing strategies that foster sharing of content that significantly influences user behavior. However, the academic literature on the role of social media in event management is limited. Therefore, this study has a twofold objective: to conduct a review of the literature to systematize and contextualize existing knowledge and to identify the main benefits and risks involved in the use of social networks in events.

Cyber-attacks that generate technical disruptions in organisational operations and damage the reputation of organisations have become all too common in the contemporary organisation. This paper explores the reputation repair strategies undertaken by organisations in the event of becoming victims of cyber-attacks.

For developing the authors’ contribution in the context of the Internet service providers' industry, the authors draw on a qualitative case study of TalkTalk, a British telecommunications company providing business to business (B2B) and business to customer (B2C) Internet services, which was a victim of a “significant and sustained” cyber-attack in October 2015. Data for the enquiry is sourced from publicly available archival documents such as newspaper articles, press releases, podcasts and parliamentary hearings on the TalkTalk cyber-attack.

The findings suggest a dynamic interplay of technical and rhetorical responses in dealing with cyber-attacks. This plays out in the form of marshalling communication and mortification techniques, bolstering image and riding on leader reputation, which serially combine to strategically orchestrate reputational repair and stigma erasure in the event of a cyber-attack.

Analysing a prototypical case of an organisation in dire straits following a cyber-attack, the paper provides a systematic characterisation of the setting-in-motion of strategic responses to manage, revamp and ameliorate damaged reputation during cyber-attacks, which tend to negatively shape the evaluative perceptions of the organisation's salient audience.

Using the examples of Grenadian-born Jean Augustine, the first Black Member of Parliament in Canada, and Barbados' Prime Minister Mia Mottley, the piece argues that the ethos of the Emigrant Ambassador—the collective empowerment of Black feminism, liberation, and radicalism—ushered in a new era for change abroad and in Canada, as transnational and international change was driven by Black women from the West Indies.

The author used historical research and social science theoretical frameworks to formulate conclusions, lessons learnt and steps forward for current equity, diversity and inclusion (EDI) practitioners.

Black women born in the West Indies in the mid-twentieth century were the catalysts for social justice movements in the 2010 and 2020s. Many methods used for social change in the twentieth century are applicable in the 2020s and beyond.

Research is focused on Canadian and West Indian relations but will have implications for those across the British Commonwealth.

Practitioners and students of EDI will have a new tool on how to approach and confront anti-Black racism, particularly after May 25, 2020.

This article provides opportunities to support the dwindling efforts of anti-racism to support the lives of Black people across the Black Atlantic.

This is an original article built on previous scholarship of the author.

Based on the theoretical framework, this paper analyzes the sentiment-herding relationship in emerging stock markets (ESMs). First, it aims to examine the effect of investor sentiment on herding. Second, it seeks the direction of causality between sentiment and herding time series.

The present study applies the Exponential Generalized Auto_Regressive Conditional Heteroskedasticity (EGARCH) model to capture the volatility clustering of herding on the financial market and to investigate the role of the investor sentiment on herding behaviour. Then the vector autoregression (VAR) estimation uses the Granger causality test to determine the direction of causality between the investor sentiment and herding. This study uses a sample consisting of stocks listed on the Shanghai Composite index (SSE) (348 stocks), the Jakarta composite index (JKSE) (118 stocks), the Mexico IPC index (14 stocks), the Russian Trading System index (RTS) (12 stocks), the Warsaw stock exchange General index (WGI) (106 stocks) and the FTSE/JSE Africa all-share index (76 stocks). The sample includes 5,020 daily observations from February 1, 2002, to March 31, 2021.

The research findings show that the sentiment has a significant negative impact on the herding behaviour pointing out that the higher the investor sentiment, the lower the herding. However, the results of the present study indicate that a higher investor sentiment conducts a higher herding behaviour during market downturns. Then the outcomes suggest that during the crisis period, the direction is one-way, from the investor sentiment to the herding behaviour.

The findings may have implications for universal policies of financial regulators in EMs. We have found evidence that the Emerging investor sentiment contributes to the investor herding behaviour. Therefore, the irrational investor herding behaviour can increase the stock market volatility, and in extreme cases, it may lead to bubbles and crashes. Market regulators could implement mechanisms that can supervise the investor sentiment and predict the investor herding behaviour, so they make policies helping stabilise stock markets.

The originality of this paper lies in investigate the sentiment-herding relationship during the Surprime crisis and the Covid-19 epidemic in the EMs.

This article aims to present a unique dimension to mentor studies in that unlike most research that focuses on the novice-teachers-mentee, this study explores the influence of mentoring on the mentors themselves. Two main questions were examined: “Which components of mentoring influence the mentors' professional development?” and “What is the differential impact of each of these components as they are internalized by the mentors?”

A total of 765 mentors completed a questionnaire composed of 47 multiple-choice questions and an open-ended question describing the contribution of mentoring. The survey thus generated both quantitative and qualitative data.

The results show three main components of mentoring that influence mentors' professional development in the following order: personal–emotional, didactic knowledge and systemic–organizational. The findings also illustrate how the mentors used a comparison process to develop their professional perception: first, by comparing their role as a teacher and their role as a mentor, and second, by comparing their own professional identity as a teacher with that of the novice-teacher.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The implications of the study point to the importance of mentoring for mentors' professional development. Practical implications of this study encourage mentor training courses that combine a body of knowledge of theory and practice, as well as supervision and mentoring for mentors. It may be important for mentors to develop a professional identity as mentors that is distinct from their professional identity as teachers.

The manuscript attempts to explore the dynamic relationships within the mentoring process by investigating how mentoring impacts the development of mentors. It presents insights into the benefits of mentoring novice-teachers for the mentors themselves via analysis of a large-scale, nationwide study.

Tourism via virtual reality (VR) technology has become an interesting option for consumers to “travel.” The best approaches to optimizing the VR tourism environment, improving the interactive experience of tourists and encouraging tourists to adopt VR are not yet fully understood. This study explores the willingness of tourists to adopt VR tourism from the dual aspects, richness and dynamics, of virtual social cues.

To examine the effects of richness (multiple vs. few cues) and dynamic (changeable vs. static cues) on consumers' willingness to adopt VR tourism, three virtual tourism scenes were designed and presented by head-mounted displays. The data were collected for participants in the VR laboratory and tested by ANOVA and partial least squares–structural equation modeling.

Virtual social cues can generate mental imagery through interactivity, vividness and parasocial interactions, thus increasing the consumer's likelihood of adopting VR tourism. It was also found that imagination moderates mental imagery and adoption intention. When the consumer's imagination is stronger, their mental imagery stimulates a stronger willingness to adopt VR tourism.

The authors innovatively utilize concepts of parasocial interaction and mental imagery and discuss the various influences and mediation mechanisms of social cue characteristics on consumers' adoption of VR tourism. The conclusions may provide new insights for VR tourism managers and tourism scholars.

This research aims to explore the role of awareness of harm and responsibility for environmental protection in reducing pollution from single-use plastic bags (SPBs) in coastal communities (CCs). To this end, this study develops and tests a unique model that explains residents’ intention to reduce the use of SPBs in coastal regions.

A questionnaire was used to collect data from 721 coastal residents in Vietnam. Structural equation modeling and moderation analysis were applied to test the proposed hypotheses.

The results show that awareness of the impact of SPBs on the environment and human health and awareness of the responsibility to protect the coastal environment significantly affect attitudes and intentions to reduce the use of SPBs. Moreover, such awareness of responsibility strengthens the attitude-intention relationship.

The findings suggest that CCs should not receive a lower priority in campaigns and efforts to reduce SPBs. In this regard, providing residents with free environmentally friendly bags and education programs on the impact of SPBs could be implemented.

CCs are directly impacted by pollution from SPBs. However, little is known about how this affects their polluting behavior. This study shows that CCs are not immune to polluting behaviors and that SPBs can be significant among residents. It also demonstrates that awareness of harm and feeling responsible for the environment are essential drivers of (intended) sustainable behaviors.

In this paper, the authors examine the causes of 2021–2023 inflation and evaluate whether raising interest rates is the right solution.

The authors evaluate both the macroeconomic (too much demand) and microeconomic (monopoly pricing and supply chains) explanations for the causes of inflation.

The authors argue that the spike in inflation is due to disrupted supply chains and corporations taking advantage of the situation to raise their prices. The aggregate demand stimulus from fiscal policy had all but played out by the time inflation arose, making it an unlikely cause of said inflation.

The authors' paper demonstrates that raising interest rates is the wrong solution to tackling the problem of inflation, especially since it's coming from the supply side.

Despite its devastating nature, the COVID-19 pandemic has also catalyzed a substantial surge in the adoption and integration of technological tools within economies, exerting a profound influence on the dissemination of information among participants in stock markets. Consequently, this present study delves into the ramifications of post-pandemic dynamics on stock market behavior. It also examines the relationship between investors' sentiments, underlying behavioral drivers and their collective impact on global stock markets.

Drawing upon data spanning from 2012 to 2023 and encompassing major world indices classified by Morgan Stanley Capital International’s (MSCI) market and regional taxonomy, this study employs a threshold regression model. This model effectively distinguishes the thresholds within these influential factors. To evaluate the statistical significance of variances across these thresholds, a Wald coefficient analysis was applied.

The empirical results highlighted the substantive role that investors' sentiments and behavioral determinants play in shaping the predictability of returns on a global scale. However, their influence on developed economies and the continents of America appears comparatively lower compared with the Asia–Pacific markets. Similarly, the regions characterized by a more pronounced influence of behavioral factors seem to reduce their reliance on these factors in the post-pandemic landscape and vice versa. Interestingly, the post COVID-19 technological advancements also appear to exert a lesser impact on developed nations.

This study pioneers the investigation of these contextual dissimilarities, thereby charting new avenues for subsequent research studies. These insights shed valuable light on the contextualized nexus between technology, societal dynamics, behavioral biases and their collective impact on stock markets. Furthermore, the study's revelations offer a unique vantage point for addressing market inefficiencies by pinpointing the pivotal factors driving such behavioral patterns.