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The purpose of this study is to understand the leadership humour style and the mechanism through which leadership humour style transforms into follower’s workplace positive and negative outcomes such as thriving at work and burnout. It uses comprehensive elaboration theory and relational process theory to explore self-disclosure and perceived similarity as two new constructs to assess their relation to intrapsychic (self-enhancing and self-defeating) and interpersonal (affiliative and aggressive) leader’s humour style, respectively.

An exploratory qualitative study through semi-structured interviews was conducted with 10 leaders to understand the different aspects of leadership humour and their outcomes. Based on these dimensions, a questionnaire was created and sent to 200 respondents, and 158 responses were received. The empirical analysis of data was done by building structural equation modeling using smart partial least square.

The empirical study has shown that self-enhancing leadership humour is related to self-disclosure, and both affiliative and aggressive leadership humour styles are related to perceived similarity. When looking at the two critical outcomes of leadership humour, both perceived similarity and self-disclosure were related to social intimacy and thriving at work. The mediation effect showed that self-enhancing humour leads to self-disclosure which increases social intimacy leading to improving thriving at work and aggressive humour leads to norm violation which further leads to burnout.

The study has used the mixed methodology to understand leadership humour and its outcomes by conducting in-depth interviews with leaders and also provides empirical evidence related to leadership humour style by using the survey to collect data from the followers capturing their perceptions. And very critically, it has explored self-disclosure and perceived similarity as two new constructs to see their relation to leadership humour style and positive and negative outcomes at the workplace.

The study, grounded on the social cognitive career theory, seeks to analyze the upshot of psychological empowerment on career satisfaction via affective commitment. The study also aims to examine the impact of the interplay among affective commitment and resilience on the career satisfaction of Indian service industry professionals.

In this study, the data has been collected from 277 employees using standardized measures from the North Indian service industry. To test the proposed model, Analysis of Moment Structures (AMOS) (Hayes, 2013) was utilized.

The outcomes of the study offered substantial support for the theorized link between psychological empowerment, affective commitment, resilience and career satisfaction. The outcomes confirmed an affirmative association concerning psychological empowerment and career satisfaction through affective commitment as a mediator and resilience as a moderator. The study concludes that the workforce with extraordinary resilience will perceive a stronger influence of psychological empowerment on career satisfaction.

The study offers a few pertinent inputs for the organizations operating in high-power distance culture to comprehend the role of psychological empowerment and “resilient attributes” of personality in developing a sense of career satisfaction amongst Indian service sector employees.

The present research examines the association between psychological empowerment, affective commitment, resilience and career satisfaction for the first time as mediated moderation model and the same has neither been examined theoretically or empirically.

This study aims to critically evaluate the competitiveness of Transformer-based models in financial forecasting, specifically in the context of stock realized volatility forecasting. It seeks to challenge and extend upon the assertions of Zeng et al. (2023) regarding the purported limitations of these models in handling temporal information in financial time series.

Employing a robust methodological framework, the study systematically compares a range of Transformer models, including first-generation and advanced iterations like Informer, Autoformer, and PatchTST, against benchmark models (HAR, NBEATSx, NHITS, and TimesNet). The evaluation encompasses 80 different stocks, four error metrics, four statistical tests, and three robustness tests designed to reflect diverse market conditions and data availability scenarios.

The research uncovers that while first-generation Transformer models, like TFT, underperform in financial forecasting, second-generation models like Informer, Autoformer, and PatchTST demonstrate remarkable efficacy, especially in scenarios characterized by limited historical data and market volatility. The study also highlights the nuanced performance of these models across different forecasting horizons and error metrics, showcasing their potential as robust tools in financial forecasting, which contradicts the findings of Zeng et al. (2023)

This paper contributes to the financial forecasting literature by providing a comprehensive analysis of the applicability of Transformer-based models in this domain. It offers new insights into the capabilities of these models, especially their adaptability to different market conditions and forecasting requirements, challenging the existing skepticism created by Zeng et al. (2023) about their utility in financial forecasting.

Roles and responsibilities of higher education academics (educators) have dramatically changed since COVID-19 outbreak. Considering this, the present study applies servant leadership and social cognitive theories to test three determinants of pedagogical resilience, i.e. servant leadership, professional self-efficacy and workplace thriving. The study also tests moderation of professional self-efficacy between servant leadership and pedagogical resilience.

Applying snowball sampling, time-lagged data were collected on T1 and T2 through survey questionnaire from 205 employees of six higher education institutes (HEIs) in Sindh, Pakistan. For data analysis, the study employed structural equation modeling using SmartPLS.

Results indicate that servant leadership and professional self-efficacy predict pedagogical resilience of educators. Moreover, professional self-efficacy moderates the relationship between servant leadership and pedagogical resilience.

This study has a few limitations. The study was conducted in HEIs of Pakistan, which are non-profit organizations. Given this, generalizability of findings in profit-making organizations is suggested with caution. Cross-cultural and cross-regional generalizability may also be challenging.

Training, coaching and role modeling may improve efficacy of educators, which is vital to pedagogical resilience. Furthermore, servant leadership attributes (i.e. emotional support and empathy) may also enhance resilience. Rolling-out tailored training programs for boosting professional efficacy of existing faculty could be helpful in building pedagogical resilience. Fostering a culture of teamwork through adopting collaborative and state of the art educational technologies could also enhance self-efficacy, which is vital to resilience. This could be done when vice chancellors, rectors, HODs, etc., adopt servant leadership attributes to play their role by navigating a paradigm shift from traditional teaching platforms and physical meetings to digital educational tools.

Post-pandemic educational management necessitates resilient workforce to handle any uncertain situation. Given this, the authors apply servant leadership and social cognitive theory and introduce a novel construct of “pedagogical resilience”. This paper offers unique theoretical contributions and suggests universities/HEIs to adopt servant leadership model and foster professional self-efficacy of educators for boosting their pedagogical resilience in times of uncertainty. Pedagogically resilient educators may be well equipped to adopt venerable pedagogical competencies, and could contribute significantly to the quality of higher education.