| Abstract: |
While the banking sector has always been a pioneer in terms of technology, the transformation in employee development and performance management systems as a result of digitization is unprecedented. This meta-analysis summarizes the existing literature over the past 10 years to aggregate meaningful insights about how digital platforms, artificial intelligence, machine learning, and analytics influence employee skill, employee engagement, and organizational and performance outcomes. By systematically reviewing 30 peer-reviewed studies and research papers, this paper unveils critical success factors for digital transformation in banking in terms of technology adoption, training, and performance measures. The results show that digital technologies significantly improve employee skills in the presence of solid training infrastructure and change management. But slow uptake of this tech stems from challenges faced in implementation including resistance to change, skill gaps and cybersecurity fears. In conclusion, the meta-analysis leads to the assertion that a holistic meta approach of pariter digital technologies into the economy must integrate technological infrastructure, development of complementary organizational culture and creation of the continuous learning ecosystems. This study adds to the understanding of the routes through which digital technologies convert into enhanced employee performance and firm performance in banking. |
