Date of Conferral
12-24-2024
Degree
Ph.D.
School
Management
Advisor
Karina Kasztelnik
Abstract
Corporate social responsibility (CSR) is becoming increasingly essential for Ghanaian banks to reconcile financial growth with ethical, legal, and civic obligations amid escalating societal expectations. The specific research problem was that the extent to which Ghanaian banks employed big data analytics (BDA) to boost multidimensional CSR performance encompassing economic, ethical-legal, and philanthropic dimensions was unknown. The purpose of this quantitative correlational study was to examine the potential impacts of BDA use and overall CSR performance on Ghanaian banks’ economic, ethical-legal, and philanthropic dimensions of CSR. Using stakeholder theory and a resource-based view, BDA was applied as a strategic tool for enhancing CSR. Data from 103 Ghanaian bank employees were analyzed via multivariate regression. The analysis demonstrated that BDA use is significantly associated with ethical-legal and philanthropic CSR performance, limited influence on economic performance, and reinforcing their role in advancing responsible business practices. BDA use had a statistically significant effect on the combined CSR outcomes, Λ = .348, F(34, 166) = 3.397, p < .001, indicating that BDA use significantly influences the CSR dimensions. The results suggested that BDA can improve compliance and social contributions, yet improving financial returns might require better infrastructure and expertise. The implications for positive social change include the potential for Ghanaian bank leaders to navigate the evolving landscape of data technologies with advanced analytics and robust CSR frameworks to balance profitability and societal responsibility in Ghana and beyond.
Recommended Citation
Adams, Mohammed Alhassan, "Corporate Social Responsibility, Economic, Ethical-Legal, and Philanthropic Performances in Ghanaian Banks Using Big Data Analytics" (2024). Walden Dissertations and Doctoral Studies. 17134.
https://scholarworks.waldenu.edu/dissertations/17134