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This study explores the global phenomenon of BangTan Sonyeondan (BTS), a Korean singing group, from an under-researched art and entertainment market perspective. We introduce a research model to delineate the impacts of leadership motivation, socio-technological practices and global prominence outcomes.

The theoretical foundation clarifies the research context, justifying the relevance of key concepts, linking them to primary research questions and forming the basis for a well-structured empirical investigation. Our research model presents the flows of leadership influence, training practices, technology use and global prominence outcomes. Utilizing a survey instrument, we gathered data from BTS fans and analyzed the empirical findings.

BTS’s success is attributed to unique factors: (1) upstream flow of leadership influence; (2) process flow of internal service training and technological excellence, fostering stakeholder enthusiasm. The results indicate that service empowerment leadership is crucial in driving talent development and appropriate technology use, enhancing brand reputation. Fan loyalty and collective passion are key moderators in these dynamics.

While focused on BTS, our findings have broader applicability in entertainment organizations, underscoring the relevance of socio-technological theory in understanding phenomena similar to BTS’s success.

Long-term brand performance in service organizations extends beyond financial metrics and necessitates empowering service leadership, training for key performers, technological infrastructure and managing personal interactions and group dynamics.

This study is unique in applying a leadership motivation perspective and socio-technological theory to BTS’s long-term success, utilizing BTS fans’ views to examine and assess their success factors and outcomes.

The study aims to examine the association between virtual communication effectiveness (VCE), leadership effectiveness (LE) and the role of emotional intelligence (EI) in the post-pandemic era.

A survey was conducted among 305 employees in the Indian IT sector using an online questionnaire. Data were analyzed using reliability, validity and moderated regression analysis.

The findings reveal that VCE is a significant predictor of LE. EI plays a significant moderating role between VCE and LE.

This study establishes the role of EI in pre-empting LE. Furthermore, it results in the advancement of improved tools for the selection, training and development of leadership talent. Research on virtual communication (VC) and EI enhances our understanding of effective leadership. To the best of the authors’ knowledge, the present research is one of the first to link and standardize various practices of VC, and EI to increase LE in the post-pandemic era.

Notwithstanding their potential benefits especially for individuals with low health literacy, users are still somewhat skeptical about the reliability of healthcare chatbots. The present study aims to address this challenge by investigating strategies to enhance users’ cognitive and emotional trust in healthcare chatbots. Particularly, this study aims to understand the effects of chatbot design cues in increasing trust and future chatbot use intention for low health literacy users.

We conducted two experimental studies with a final sample of 327 (Study 1) and 241 (Study 2). Three different chatbots were developed (Chatbot design: Bot vs Male-doctor vs Female-doctor). Participants were asked to have a medical consultation with the chatbot. Participants self-reported their health literacy scores. The PROCESS model 7 was used to analyze the hypotheses.

The results showed that the female-doctor cues elicited greater cognitive and emotional trust, whereas the male-doctor cues only led to greater cognitive trust (vs bot-like cues). Importantly, this study found that users’ health literacy is a significant moderating factor in shaping cognitive and emotional trust. The results indicated that both the female and male-doctor cues’ positive effects on cognitive trust were significant for those with lower levels of health literacy. Furthermore, the positive effect of the female-doctor cues on emotional trust was also significant only for those whose health literacy level was low. The increased cognitive and emotional trust led to greater future intention to use the chatbot, confirming significant moderated mediation effects.

Despite the strong economic and educational benefits of healthcare chatbots for low health literacy users, studies examining how healthcare chatbot design cues affect low health literate users surprisingly remained scarce. The results of this study suggest that healthcare chatbots can be a promising technological intervention to narrow the health literacy gap when aligned with appropriate design cues.

The purpose of this study is to investigate the effects of leaders' managerial coaching on followers' organizational citizenship behavior (OCB), creativity and task performance. This study also examined the mediating role of intrinsic motivation and self-efficacy, recognizing the follower’s attitude and cognition as essential elements of behavioral changes.

This study collected data from 20 companies across multiple industries in South Korea, and a total of 386 leader–follower dyads' data were used.

The results show that leaders' coaching is positively associated with OCB directly, but a direct impact of coaching on creativity and task performance was not supported. The results also showed that intrinsic motivation partially mediates the effect of coaching on OCB and fully mediates the effect of coaching on creativity and task performance. Self-efficacy played a role as a full mediator between coaching and task performance.

This study considered both the cognitive and affective aspects of managerial coaching and examined the influence of managerial coaching on the followers' in-role and extra-role behaviors (i.e. OCB, creativity and task performance) using responses from both the leaders and the followers at multiple organizations. Specifically, the results of this study empirically illustrated that managerial coaching by leaders serves as a mechanism mediated through intrinsic motivation and self-efficacy, linking to employees' OCB, creativity and task performance. This provides a clear explanation of the processes through which managerial coaching impacts employees and offers insights into the specific aspects that organizational leaders should focus on when engaging in managerial coaching.

This research paper's goal is to determine whether social media communication has an impact on the loyalty of visitors. The study will explore the correlation between social media activity and visitors' loyalty by examining social media engagement. The research will take the form of surveys and a total of 385 questionnaires given to visitors at various locations of the Ladakh region, asking them about their social media actions and how they relate to loyalty. The data were analysed and tested using various statistical tools such as factor analysis, regression and structural equation modelling. The study's findings will shed important light on the interconnectivity between social media activity, visitor loyalty and the tourism industry. The study's findings show how environmental issues associated with tourism sites may be made aware to visitors through social media marketing and communication campaigns, which may eventually entice them to return.

The ballet industry has long been criticized for using excessively thin and exclusively Anglo-looking ballerinas. The statement that they fit the “look” or comments such as this in the 2015 New York Daily Post: “A lot of people feel ballerinas should all be the same color” (Keivom, 2015) have been used to exclude Black and Brown ballerinas. This chapter describes the relationship between race, gender, and beauty within the ballet industry. It describes the challenges that Black women experience and the anti-Blackness that takes place within ballet due to Eurocentric beauty standards. Through a focus on the emphasis on hair texture, flesh-tone tights, and pointe shoes, and on the racist history of America and ballet, this chapter demonstrates how ballet continues to discriminate against and marginalize Black women.

This paper aims to systematically review the application of artificial intelligence (AI) in the tourism industry. By integrating human–computer interaction, machine learning, big data and other relevant technologies, the study establishes a comprehensive research framework that explores the systematic connections between AI and various facets of tourism.

This paper conducts a keyword co-occurrence analysis of 4,048 articles related to AI in tourism. The analysis identifies and classifies dominant topics, which are further refined through thematic literature review and manual coding for detailed discussion.

The analysis reveals five main topics: AI’s impact on tourist experience, AI in tourism marketing and prediction, AI in destination management, AI’s role in tourism enterprises and AI integration in strategic and regulatory framework. Each topic is reviewed to construct an integrated discussion that maps the current landscape and suggests directions for future research.

This paper transcends the fragmented discourse commonly found in the literature by establishing a unified framework that not only enhances understanding of the existing methodologies, theories and applications of AI in tourism but also identifies critical areas for breakthroughs, aiming to inspire a more humane and sustainable integration of AI in the tourism industry.

本文旨在系统回顾人工智能（AI）在旅游业中的应用。通过整合人机交互、机器学习、大数据和其他相关技术, 本研究建立了一个全面的研究框架, 探索人工智能与旅游业各方面之间的系统联系。

本文对4048篇与旅游业人工智能相关的文章进行了关键词共现分析。分析确定了主要议题并对其进行了分类, 然后通过主题文献梳理和手动编码对其进行了进一步完善, 以便进行详细讨论。

分析揭示了五个主要主题：人工智能与旅游体验、人工智能与旅游营销和预测、人工智能与目的地管理、人工智能与旅游企业, 以及人工智能在战略和监管框架中的整合。每个主题都进行了回顾, 以构建一个综合讨论, 勾勒出当前的研究格局, 并提出了未来的研究方向。

研究力图突破目前关于旅游与人工智能的碎片化讨论, 建立了一个统一的框架, 旨在加强对旅游业中人工智能现有方法、理论和应用的理解, 还点明了需要突破的关键领域, 以助力旅游业与人工智能共同创造更加人性化和可持续发展的前景。

Este artículo pretende revisar sistemáticamente la aplicación de la inteligencia artificial (IA) en el sector turístico. Mediante la integración de la interacción humano-ordenador, el aprendizaje automático, big data y otras tecnologías relevantes, el estudio establece un marco de investigación exhaustivo que explora las conexiones sistemáticas entre la IA y diversas facetas del turismo.

Este trabajo realiza un análisis de co-ocurrencia de palabras clave de 4.048 artículos relacionados con la IA en el turismo. El análisis identifica y clasifica los temas dominantes, sobre los que se profundiza mediante una revisión temática de la literatura y una codificación manual para su discusión detallada.

El análisis presenta cinco temas principales: El impacto de la IA en la experiencia turística, la IA en el marketing y la predicción turística, la IA en la gestión de destinos, el papel de la IA en las empresas turísticas y la integración de la IA en el marco estratégico y normativo. Cada tema se revisa para construir un debate integrado que trace el panorama actual y sugiera direcciones para futuras investigaciones.

Este artículo expande el análisis fragmentado que suele encontrarse en la bibliografía al establecer un marco unificado que no sólo mejora la comprensión de las metodologías, teorías y aplicaciones existentes de la IA en el turismo, sino que también identifica las áreas críticas para los avances, con el objetivo de inspirar una integración más humana y sostenible de la IA en la industria turística.

Two essential components, a robust information technology (IT) infrastructure and faculty training in student-centred pedagogies and technology usage, are necessary for effective blended learning designs. Many universities invest in IT infrastructure such as bandwidth, high-end subscriptions, servers, SMART boards, projectors, Wi-Fi enhancement, learning management systems, IT support, and other tools. Faculty training is crucial and includes instruction on using the new infrastructure and adopting pedagogical methods associated with blended learning. This study’s primary objective is to explore the challenges and pedagogical transformation towards blended learning designs in India. The research also investigates the impact of social context and emotional support on blended learning. It examines the mediating role of technostress among teachers between hybrid mode transformation and blended learning. The study’s results will provide critical insights for academic institutions’ higher management to encourage the adoption of learning designs and blended techniques by their employees during unforeseen events in the future, utilizing effective leadership and management skills. The study aims to assist academic institutions in meeting the demand for experiential learning in the classroom by incorporating blended learning. It acts as a bridge between industry expectations and academic outcomes. The study uniquely addresses the need for increased student engagement in the classroom.

Social robot anthropomorphism is widely recognized for performing crucial tasks in supporting the service industry and enhancing the employee experience. This study elucidates how social anthropomorphic robots can influence the psychological well-being of employees in the hotel industry. The study further examines the impact of social robot warmth, psychological ownership and technology readiness in the above relationship.

The research utilized an online survey questionnaire for data collection and analysis. Data were collected from Indian hotel employees (N = 275). Structural equation modeling was applied to validate the conceptual model. The study examines the results using AMOS v25 and the SPSS PROCESS Macro.

The study empirically finds that social robot anthropomorphism positively impacts the psychological well-being of hotel employees. Further, it substantiates that despite low technology readiness, social robot anthropomorphism enhances psychological well-being through psychological ownership. Additionally, anthropomorphizing social robots emits warmth, which enhances employees' psychological well-being in the hotel industry.

These empirical results and theory suggest a novel dimension of anthropomorphism in social robot interactions, significantly impacting the employees' psychological well-being. A moderated mediation relationship is established, which confirms social robot warmth and psychological ownership as mediators and technology readiness as a moderator of the social robot anthropomorphism and employee psychological well-being relationship. The results validate the conceptual model of research that is grounded in the theory of psychological ownership and the realism maximization theory.