Background of the Study
Digital innovation is transforming strategic decision-making in business banking by providing real-time insights, enhancing predictive accuracy, and fostering agility in response to market dynamics. Access Bank Nigeria, Kano, has embraced digital innovation through initiatives such as data analytics platforms, AI-powered decision support systems, and integrated digital dashboards. These innovations allow bank executives to monitor performance metrics, assess market trends, and make informed decisions quickly (Adeyemi, 2023). By harnessing digital tools, the bank aims to improve its strategic planning processes, reduce operational risks, and capitalize on emerging opportunities in a competitive landscape (Ibrahim, 2024).
The integration of digital innovation into strategic decision-making processes enables a more dynamic, evidence-based approach to business planning. Decision-makers can access real-time data, perform scenario analyses, and adjust strategies accordingly. This shift from traditional, intuition-based decision-making to a data-driven approach has the potential to significantly enhance the bank’s competitiveness and profitability. However, challenges such as integrating new digital systems with legacy data sources, ensuring data quality, and overcoming internal resistance to change may impede the full realization of these benefits (Adeleke, 2025).
This study examines the effect of digital innovation on strategic decision-making in business banking at Access Bank, focusing on how these technological advancements influence the formulation and implementation of strategic initiatives. The analysis also explores the organizational and technical barriers that may hinder effective decision-making in a rapidly evolving digital environment (Chinwe, 2025).
Statement of the Problem
Although digital innovation has the potential to revolutionize strategic decision-making in business banking, Access Bank Nigeria, Kano, faces significant challenges in its implementation. A key issue is the integration of innovative digital tools with pre-existing legacy data systems, which often leads to data inconsistencies and delayed decision-making (Ogunleye, 2023). These integration difficulties can undermine the reliability of digital insights and slow the strategic planning process. Additionally, high implementation costs, cybersecurity risks, and insufficient digital training for decision-makers further complicate the adoption of digital innovations (Ibrahim, 2024).
Furthermore, organizational inertia and resistance to change among senior management and staff can impede the transition from traditional to data-driven decision-making models. This gap between the potential of digital innovation and its practical application results in suboptimal strategic outcomes and reduced competitive advantage. The study seeks to identify these challenges and propose solutions to ensure that digital innovation effectively supports strategic decision-making in business banking.
Objectives of the Study
• To assess the impact of digital innovation on strategic decision-making at Access Bank, Kano.
• To identify integration and cost challenges in implementing digital decision support tools.
• To evaluate the role of cybersecurity and training in enhancing digital decision-making.
Research Questions
• How does digital innovation influence strategic decision-making in business banking at Access Bank?
• What integration challenges affect the reliability of digital decision support systems?
• How do cybersecurity measures and training initiatives impact strategic decision-making effectiveness?
Research Hypotheses
• H1: Digital innovation significantly improves the quality of strategic decision-making in business banking.
• H2: Integration challenges and high costs negatively impact the effectiveness of digital decision support.
• H3: Enhanced cybersecurity and continuous training are positively correlated with improved strategic decisions.
Scope and Limitations of the Study
This study focuses on the business banking division of Access Bank Nigeria in Kano. Limitations include restricted access to internal strategic data and the dynamic nature of digital innovation trends.
Definitions of Terms
• Digital Innovation: The implementation of new digital technologies to enhance business processes and decision-making.
• Strategic Decision-Making: The process of formulating and executing plans to achieve long-term business objectives.
• Legacy Data Systems: Older systems that store data and may not integrate easily with new technologies.
• Decision Support Systems: Digital tools that assist in analyzing data and making informed decisions.
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