Exploring the influence of women's leadership and corporate governance on operational liquidity: The glass cliff effect.

This research investigates the glass cliff effect and the positions held by women in leadership roles, focusing on their impact on operational liquidity. The study delves into the relationship between corporate governance attributes and operational liquidity in 60 non-financial companies listed on the Pakistan Stock Exchange during Covid-19. Utilizing Quine-McCluskey technique and fuzzy set Qualitative Comparative Analysis (fsQCA), it examines the combined effect of Women on the Board, Board Size, Ownership by Blockholders, Board Qualifications and Busy Directors on Operational Liquidity. The necessary condition analysis (NCA) emphasises that firms can operate without reliance on any particular variable taken in the study. The sufficiency analysis provided an expanded understanding of the three conditions leading to the same outcome both before and during the pandemic. This research highlights the significance of the glass cliff effect and emphasizes the pivotal role of women in effectively managing liquidity during times of crisis. Additionally, it provides valuable insights for policymakers regarding the impact of Covid-19 on the interplay between corporate governance characteristics and operational liquidity.

Beyond regression: Unpacking research of human complex systems with qualitative comparative analysis.

This study underscores the effectiveness of Qualitative Comparative Analysis (QCA) when compared to conventional regression analysis (CRA) in the investigation of complex human systems. Utilizing historical secondary cross-national data from Lipset & Man (1960) spanning 18 countries, where CRA may be impractical, the research emphasizes the superior performance of QCA, specifically utilizing both crisp set QCA and fuzzy set QCA. The dataset includes variables such as democracy survival and its precursors, such as gross national product per capita, urbanization, literacy rate, and industrial labor force. In contrast to conventional regression results indicating an insignificant relationship between democracy survival and its antecedents, crisp set QCA identifies two distinct combinations of antecedents associated with high levels of democracy survival, albeit with limited solution coverage. Meanwhile, fuzzy set qualitative comparative analysis (fsQCA) reveals five combinations of antecedents linked to robust democracy survival, providing adequate solution coverage and consistency. These findings suggest that fsQCA excels in capturing the intricacies of real-life scenarios in human complex systems, offering more robust empirical solutions compared to crisp set QCA and conventional regression. As a result, researchers may find value in integrating fsQCA into their new projects focused on human complex systems.

Navigating board dynamics: Configuration analysis of corporate governance's factors and their impact on bank performance.

This research utilizes the fsQCA technique to investigate how a combination of corporate governance conditions or factors collectively influences the performance of banks. Examining key elements such as board size, busy directors, independent directors, CEO duality, and women on the board, the research employs data collected from the annual reports of 30 banks spanning from 2010 to 2020. The necessary condition analysis (NCA) underscores that no individual condition or factor is indispensable for the ultimate outcome. Nevertheless, the sufficiency analysis reveals distinct solutions, each representing a unique set of conditions or factors sufficient to generate the outcome. The study concludes that the relationship between corporate governance characteristics and bank performance is complex and multifaceted, with neither ROA nor ROE reliant on a singular input condition or factor. The theoretical contributions of the findings align with or partially support various theories and propositions within the realm of corporate governance. Notably, the application of fsQCA contributes to enhance the methodological understanding of corporate governance studies in existing literature.

The paradoxical effects of high involvement work practices on employees and service outcomes: a trichromatic perspective.

This research delves into the complex impact of High Involvement Work Practices (HIWPs) on various facets of employee well-being and service outcomes within the framework of the trichromatic service conception. Utilizing the Job Demands-Resources (JD-R) model, the study uncovers the dual, both beneficial and detrimental, effects of HIWPs on service performance, work-family conflict, subjective well-being, and work-family enrichment. Examining the conflicting paths of job demands (workload) and job resources (customer orientation), the analysis incorporates the moderating influence of a strategic contextual factor-supervisor support. Data was collected through self-administered questionnaires from 475 respondents in Pakistani banks, and the analysis employed moderated mediation analysis using SPSS, AMOS, and the PROCESS Macro. All proposed hypotheses received support. The results indicate that HIWPs enhance service performance by promoting customer orientation but concurrently escalate workload, leading to adverse consequences for subjective well-being and work-family conflict. The study underscores the importance of implementing HIWPs under supportive leadership to maximize positive outcomes and mitigate negative consequences. Ultimately, this approach enables employees to effectively serve customers, maintain a healthy work-family balance, and contribute to the long-term growth and sustainability of organizations.

Digitalized world and carbon footprints: does digitalization really matter for sustainable environment?

There is a growing demand for energy to support economic and social development. There will be many shifts in the energy sector as a result of digitization. Hence, we aim analyzing the linkage between digitalization and environment sustainability by incorporating energy consumption as a moderating factor using data of UK from 1990 to 2020. Different dimensions of digitalization are used as explanatory variables, ecological and carbon footprints are used as outcomes and energy consumption is used as moderator. The findings of autoregressive distributed lag model show that internet users and technological advancement (fixed telephone subscription and mobile cellular) are negatively (positively) linked with ecological and carbon footprints. Energy consumption causes to enhance ecological and carbon footprints and plays an antagonistic role in the nexus of internet users, technological advancement, and ecological and carbon footprints. The effects of mobile cellular and fixed telephone subscription have increased in the presence of energy consumption as moderator which exhibits that energy consumption plays an enhancing role in the links between mobile cellular, fixed telephone subscription and ecological and carbon footprints. The results underscore the importance of taking a holistic approach to addressing the environmental impact of digital technologies. By promoting sustainable communication practices and investing in the development of more energy-efficient technologies, practitioners, managers, and society as a whole can work together to reduce the carbon and ecological footprints of digital technologies and create a more sustainable future for all.