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While worker well-being is increasingly recognised as a performance driver and marker of socially responsible organisations, workaholism is ubiquitous and remains poorly understood. This study aims to uncover workaholism precursors, dynamics and trajectories, and explains how organisations can manage its emergence and impact.

Fifteen semi-structured interviews were conducted with a diverse sample of self-identified workaholics in New Zealand and analysed through interpretivist phenomenological analysis.

This study contributes to the workaholism literature by elucidating how the work–identity link is formed and maintained, the psychophysiological experiences and worldviews of workaholics and the role families, organisations and culture play in workaholism. The findings also elucidate the relationship between workaholism, work addiction and engagement.

The authors outline how leaders and organisations can detect and manage workaholism risk factors and understand its trajectories to develop healthy workplaces.

The retrospective experiential accounts obtained from a diverse sample of workaholics enabled the identification of workaholism precursors, including some previously undetected in the literature, their complex interrelations with environmental factors and workaholism trajectories.

The study evaluates the effects of governance and other regulatory structures on the development of financial institutions in the subregion of sub-Saharan Africa (SSA).

Data for the analyses were compiled from relevant sources from 1996 to 2019 from a sample of 36 countries in the subregion. Empirical analyses were carried out using the Prais-Winsten panel corrected standard errors panel estimation technique augmented by pooled ordinary least squares with Driscoll and Kraay (1998) standard errors model.

Findings from the study suggest that governance and institutional quality index, as well as individual governance and regulatory variables, have positive effect on the development of financial institutions among economies in SSA. Further empirical estimates show that output growth volatility has negative moderating impact on the relationship between effective governance, control of corruption, rule of law, regulatory quality, voice and accountability, and development of financial institutions. Additionally, the results show that during periods of heightened macroeconomic risk, financial institutions could benefit from improved governance and effective regulatory structures.

Compared to related studies that have reviewed the discourse on financial institutions, this study rather focuses on how governance structures and institutions influence development of financial institutions instead of the impact of financial institution on the broader economy. The authors further augment this interaction by examining how the relationship in question may be moderated by macroeconomic shocks.

Our study addresses the impact of COVID-19-induced work-family conflict on leaders' well-being and explores the influence of leadership style, coping strategies, and gender disparities in this context, filling a research gap on crisis-related leadership well-being.

We used hierarchical regression analysis and SPSS's PROCESS macro to analyze a dataset of 516 paired responses, including 231 leaders and 285 subordinates, from Mongolian organizations.

Strain-based work-family conflict (WFC) negatively affects leaders' workplace well-being. Servant leadership exacerbates this impact. In contrast, servant leadership positively moderates the relationship between time-based WFC and job-related well-being. Leaders who prioritize work and family responsibilities experience a stronger positive (negative) impact of time-based (strain-based) WFC on their workplace well-being. Furthermore, we observed that strain-based WFC has a more detrimental effect on female leaders' well-being, highlighting gender disparities in leadership roles.

Our study elucidates the intricate relationship between work-family conflict and leaders' well-being, underscoring the need to recognize gender differences and coping strategies. We advocate for organizations to proactively establish support structures tailored to various leadership styles and gender-specific challenges, especially in times of crisis.

This study focuses on leaders' well-being during COVID-19 and how it is influenced by work-family conflict, servant leadership, coping strategy, and gender. The study also differentiates between time-based and strain-based work-family conflict and uses dyadic data from Mongolian organizations. More importantly, we identify that gender disparity plays a crucial role in the pandemic-caused leadership challenges and leaders' coping behaviors.

This study aims to apply the predictive processing theory to examine the influence of artificial intelligence (AI)-driven robotic performers on audience emotions and the audience’s resulting electronic word-of-mouth (eWOM) behaviors during tourism service encounters.

Using a quantitative research methodology, survey responses from 339 regular customers of performing arts in tourism destinations were analyzed. The respondents were recruited through Prolific, a professional data collection platform. SPSS 23.0 was used for the preliminary analysis, from which a research model to achieve the aim was proposed. SmartPLS 3 was used for partial least squares structural equation modeling to test the model.

Interactive and novel robotic performances significantly encouraged the consumers to share their experiences online, thereby enhancing eWOM. However, melodic resonance had no significant impact on eWOM intentions. The consumers’ emotional responses fully mediated the relationship of the novelty and interactivity of the performances to the consumers’ eWOM intentions but did not mediate the relationship of the musical elements to their eWOM intentions.

This study enriches the understanding of how AI-driven performances impact consumers’ emotional engagement and sharing behaviors. It extends the application of the predictive processing theory to the domain of consumer behavior, offering valuable insights for enhancing audience engagement in performances through technological innovation.

本研究旨在运用预测处理理论, 考察人工智能（AI）驱动的机器人表演对观众情感及其在旅游服务接触中的电子口碑（eWOM）行为的影响。。

采用定量研究方法, 分析了339名经常观看旅游景点表演艺术的常客的调查问卷。受访者通过专业数据收集平台Prolific招募。初步分析使用SPSS 23.0进行, 从中提出了实现研究目标的研究模型。使用SmartPLS 3进行偏最小二乘结构方程模型测试该模型。

互动性和新颖性的机器人表演显著鼓励消费者在线分享他们的体验, 从而增强电子口碑。然而, 旋律共鸣对电子口碑意图没有显著影响。消费者的情感反应完全中介了表演的新颖性和互动性与消费者电子口碑意图之间的关系, 但没有中介音乐元素与电子口碑意图之间的关系。

本研究丰富了对AI驱动表演如何影响消费者情感参与和分享行为的理解。将预测处理理论的应用扩展到消费者行为领域, 为通过技术创新增强观众参与度提供了宝贵的见解。