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Purpose: This study evaluated the influence of corporate social responsibility (CSR) initiatives undertaken by banks in Vietnam on their overall performance. Additionally, it sought to examine the relationship between corporate social responsibility and digital transformation efforts within the framework of the ongoing Fourth Industrial Revolution. Design/Methodology/Approach: The research uses a survey sample from Southeast Vietnam, specifically Binh Duong Province, Dong Nai Province, Tay Ninh Province, Ba RIA Vung Tau Province and Ho Chi Minh City. A total of 245 valid questionnaires were gathered from mid- and senior-level executives, senior employees and department heads who have implemented digital transformation strategies in banks. Findings: This study explores the relationship between corporate social responsibility and firm performance in Vietnam's financial industry focusing on the banking sector. The study discovered a favourable relationship between corporate social responsibility (CSR) and enterprise digital transformation as well as a good relationship between CSR and digital transformation and Vietnamese banks' business success. Conclusion: The digital economy has increasingly contributed to global economic development. Today's digital landscape is undergoing a widespread phenomenon known as digital transformation. Hence, it is crucial to examine the impact of digital transformation on business processes. Practical Implications: The data also supports the idea that digital transformation serves as a mediator between corporate CSR and financial performance contributing to filling the gap when there is limited research in Vietnam on this relationship. Contribution to the Literature: This research aims to help banks in Vietnam enhance operational efficiency when banks actively engage in CSR and digital transformation. [ABSTRACT FROM AUTHOR]

Author(s): Peer W. F. Karmaus [sup.1] , Xiang Chen [sup.2] , Seon Ah Lim [sup.1] , Andrés A. Herrada [sup.1] , Thanh-Long M. Nguyen [sup.1] , Beisi Xu [sup.2] , [...], A defining feature of adaptive immunity is the development of long-lived memory T cells to curtail infection. Recent studies have identified a unique stem-like T-cell subset amongst exhausted CD8-positive T cells in chronic infection.sup.1-3, but it remains unclear whether CD4-positive T-cell subsets with similar features exist in chronic inflammatory conditions. Amongst helper T cells, T.sub.H17 cells have prominent roles in autoimmunity and tissue inflammation and are characterized by inherent plasticity.sup.4-7, although how such plasticity is regulated is poorly understood. Here we demonstrate that T.sub.H17 cells in a mouse model of autoimmune disease are functionally and metabolically heterogeneous; they contain a subset with stemness-associated features but lower anabolic metabolism, and a reciprocal subset with higher metabolic activity that supports transdifferentiation into T.sub.H1-like cells. These two T.sub.H17-cell subsets are defined by selective expression of the transcription factors TCF-1 and T-bet, and by discrete levels of CD27 expression. We also identify signalling via the kinase complex mTORC1 as a central regulator of T.sub.H17-cell fate decisions by coordinating metabolic and transcriptional programmes. T.sub.H17 cells with disrupted mTORC1 signalling or anabolic metabolism fail to induce autoimmune neuroinflammation or to develop into T.sub.H1-like cells, but instead upregulate TCF-1 expression and acquire stemness-associated features. Single-cell RNA sequencing and experimental validation reveal heterogeneity in fate-mapped T.sub.H17 cells, and a developmental arrest in the T.sub.H1 transdifferentiation trajectory upon loss of mTORC1 activity or metabolic perturbation. Our results establish that the dichotomy of stemness and effector function underlies the heterogeneous T.sub.H17 responses and autoimmune pathogenesis, and point to previously unappreciated metabolic control of plasticity in helper T cells.Phenotypically, transcriptionally and metabolically diverse subsets of T.sub.H17 cells develop in a chronic autoimmune disease: one subset has inferred stemness features and low anabolic metabolism, while a reciprocal subset has higher metabolic activity that supports transdifferentiation into T.sub.H1 cells.