The aim of this paper was to investigate the relationship between corporate social responsibility (CSR), organizational commitment, and organizational identification with turnover intentions. This paper also explains the mediating relationship between organizational commitment and organizational identification with the corporate social responsibility and turnover intentions. The data were gathered from banking professionals working in different banks in Pakistan. The participants were recruited through convenient sampling; in total, three hundred participants were involved in this study. The resulting data were analyzed, and the conclusions were drawn through regression and correlation analysis using the SPSS Software. The findings of this study show that corporate social responsibility plays a significant role in determining the organizational commitment and organizational identification of internal stakeholders and employees in financial institutions. This study will be help organizations determine their social responsibility and all the benefits that they can receive through the implementation of CSR practices.

This study examines the factors influencing Vietnamese journalists’ adoption of Artificial Intelligence in journalism. Drawing on the Unified Theory of Acceptance and Use of Technology (UTAUT) framework, it hypothesizes that performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, regulatory support, and technology affinity and incorporating additional trust, regulatory support, and technology affinity have significant impacts on journalists’ adoption of technology. Questionnaires were administered to 238 journalists in the context of the Vietnamese press. The findings showed the significant impact of performance expectancy, effort expectancy, social influence, facilitating conditions, behavioral intention, trust, regulatory support, and technology affinity on journalists’ adoption of AI in journalism. These results expand the UTAUT framework and offer a more comprehensive understanding of technology adoption in journalism. Practically, the study provides valuable insights for practitioners and policymakers in the journalism industry. Understanding the determinants of journalists’ adoption can inform the development of targeted interventions, training programs, and regulatory frameworks to facilitate the integration of AI technologies into journalistic practices. However, the study has limitations, and future research should replicate the findings in diverse cultural and organizational contexts while considering additional moderating factors.

Existing studies on resilience measures tailored explicitly to teachers are relatively scarce, and the development of teacher resilience scales in developing Asian nations is lacking. To address this gap, we developed the Vietnam Teachers' Resilience Scale (VITRS), drawing on the Teachers' Resilience Scale (Daniilidou & Platsidou, 2018) and the Multidimensional Teachers' Resilience Scale (Mansfield & Wosnitza, 2015; Peixoto et al., 2020). The VITRS comprises 20 items across four dimensions (Social, Professional, Emotional, and Motivational resilience), demonstrating psychometric properties. The VITRS exhibits high reliability and validity and can serve as a significant assessment tool for high school and university teachers. This enables them to measure their resilience and prepare effectively to face and adapt to adversity. Despite these limitations, this study opens new avenues for future research.