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An assessment of digital transformation strategies on operational performance in banking: a case study of Co-operative Bank of Nigeria

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Background of the Study

Digital transformation has revolutionized the banking sector by integrating advanced technologies to streamline operations and enhance service delivery. Co-operative Bank of Nigeria has embarked on comprehensive digital transformation strategies that include cloud computing, artificial intelligence, robotic process automation, and big data analytics to improve operational performance (Akinola, 2023). These initiatives are designed to reduce manual processes, minimize errors, and accelerate transaction processing, thereby leading to cost savings and improved customer satisfaction (Chinwe, 2024). The bank’s digital transformation roadmap also aims to create a more agile and responsive operational framework that can adapt quickly to market changes and customer demands (Ibrahim, 2023).

However, despite these investments, the true impact of digital transformation on operational performance remains under scrutiny. Challenges such as integration with legacy systems, resistance to change among staff, and the high cost of technology adoption often limit the expected benefits (Oluwaseun, 2024). This study will evaluate the operational performance of Co-operative Bank of Nigeria by comparing key performance indicators before and after the implementation of digital transformation strategies. It will also examine how these strategies influence service delivery efficiency, cost management, and overall organizational agility. By analyzing quantitative performance data and qualitative feedback from employees, the research will provide a comprehensive view of the benefits and limitations of digital transformation in the banking sector.

Statement of the Problem

Although Co-operative Bank of Nigeria has made significant strides in digital transformation, the bank continues to face operational challenges. Integration issues between new digital systems and legacy infrastructure have resulted in inconsistent service delivery and operational inefficiencies (Akinola, 2023). Additionally, resistance to change among employees and inadequate training have further hindered the full realization of anticipated benefits (Ibrahim, 2023). The high upfront investment and continuous upgrade costs also raise concerns about the long-term sustainability of these digital strategies. Without a robust framework to measure performance improvements, management struggles to identify the specific areas where digital transformation is either adding value or falling short. These challenges hinder the bank’s ability to optimize processes and fully leverage digital tools to improve cost efficiency and customer service (Chinwe, 2024).

Objectives of the Study:

1. To assess the impact of digital transformation strategies on operational performance at Co-operative Bank of Nigeria.

2. To identify key challenges in integrating digital solutions with existing legacy systems.

3. To recommend strategies for optimizing digital transformation initiatives for enhanced operational efficiency.

Research Questions:

1. How do digital transformation strategies influence operational performance?

2. What challenges affect the integration of digital systems with legacy infrastructure?

3. What measures can improve the effectiveness of digital transformation initiatives?

Research Hypotheses:

1. Digital transformation significantly enhances operational efficiency.

2. Integration challenges negatively impact performance outcomes.

3. Effective training and system integration lead to improved operational performance.

Scope and Limitations of the Study:

This study focuses on Co-operative Bank of Nigeria’s digital transformation initiatives, using internal performance data and employee interviews. Limitations include potential data integration issues and the evolving nature of digital technologies.

Definitions of Terms:

• Digital Transformation: The integration of digital technology into all areas of business operations.

• Operational Performance: Efficiency and effectiveness of internal processes.

• Legacy Systems: Older, pre-existing IT systems.

• Robotic Process Automation: The use of software robots to automate repetitive tasks.

 





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