Understanding Digital Transformation Technologies Adoption: A Theoretical Framework Analysis

This paper examines established theoretical and conceptual frameworks relevant to the impact of digital transformation on employee performance within commercial banks. The introduction of digital technologies fundamentally reshapes business models and operational processes. The study leveraged several established theoretical frameworks to understand technology adoption, focusing specifically on the Technology Acceptance Model (TAM), Self- Determination Theory (SDT), and the Theory of Planned Behavior (TPB). It used a mixed-methods approach, combining qualitative and quantitative data collection and analysis. Participants included employees from various levels, including management and executive roles, at two commercial banks in Lusaka, Zambia. The study findings indicated that Digital Transformation Technologies (DTTs) are perceived to have a positive impact on job performance, specifically regarding the completion of various job tasks and activities. The Technology Acceptance Model (TAM), Self-Determination Theory (SDT), and the Theory of Planned Behavior (TPB) offer valuable theoretical frameworks for understanding the dynamics of technology adoption in the context of digital transformation. By focusing on perceived usefulness and ease of use (TAM), addressing psychological needs (SDT), and considering social influences and individual beliefs (TPB), organizations can develop targeted strategies to promote the successful adoption and integration of Digital Transformation Technologies. Future research could explore the interplay between these frameworks, providing a more holistic understanding of the factors.