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An assessment of performance measurement systems in investment banking: a case study of Stanbic IBTC Bank

  • Project Research
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  • NGN 5000

Background of the Study
Performance measurement systems are vital for guiding investment banking operations, ensuring that strategic decisions are data-driven and aligned with overall organizational goals. Stanbic IBTC Bank has increasingly relied on sophisticated performance metrics—including balanced scorecards, key performance indicators (KPIs), and real‐time analytics—to monitor profitability, operational efficiency, and market responsiveness (Akin, 2023). Over the past few years, advancements in digital technologies have allowed the bank to integrate financial data with customer feedback and market trends, thereby creating a more comprehensive view of performance. This integration is critical in today’s volatile financial environment where rapid adjustments can mean the difference between competitive success and stagnation (Olufemi, 2024). The bank’s journey toward adopting state-of-the-art performance measurement systems reflects broader industry trends, with increased emphasis on transparency and accountability. Recent research suggests that robust performance measurement not only supports strategic decision-making but also helps mitigate risks by highlighting operational inefficiencies early (Chukwu, 2025). As Stanbic IBTC Bank continues to evolve, its performance measurement frameworks are expected to play an essential role in adapting to regulatory changes and market disruptions. The study critically examines the evolution, implementation, and outcomes of these systems to understand how they contribute to overall investment banking success. By assessing internal reports, industry benchmarks, and emerging digital tools, the research provides insights into the operational benefits and potential challenges associated with performance measurement innovations.

Statement of the Problem
Despite the introduction of advanced performance measurement systems, Stanbic IBTC Bank faces persistent challenges in achieving seamless integration and consistent outcome interpretation. One key problem is the misalignment between traditional financial metrics and contemporary qualitative measures such as customer satisfaction and digital engagement (Ibrahim, 2023). This misalignment often leads to discrepancies in performance reporting and hampers timely decision-making. Additionally, the rapid evolution of digital technologies demands frequent system upgrades, which may disrupt existing operations and introduce data inconsistencies. There is also the challenge of adequately training personnel to interpret and utilize the new data streams generated by these advanced systems, potentially resulting in underutilization of available insights (Udo, 2024). These issues are compounded by regulatory pressures that require greater transparency and frequent reporting, adding layers of complexity to the measurement process. Consequently, while performance measurement systems hold promise for enhancing operational efficiency, their practical application remains fraught with challenges that could undermine their effectiveness. This study, therefore, seeks to bridge the gap by critically analyzing the strengths and weaknesses of Stanbic IBTC Bank’s current performance measurement practices and recommending improvements that balance innovation with operational reliability.

Objectives of the Study
– To evaluate the effectiveness of current performance measurement systems in enhancing operational efficiency.
– To analyze the alignment between traditional financial metrics and modern digital indicators.
– To propose strategies for improving data integration and staff competency.

Research Questions
– How effective are the current performance measurement systems at Stanbic IBTC Bank?
– What challenges exist in aligning traditional and digital performance indicators?
– What improvements can enhance the overall efficacy of performance measurements?

Research Hypotheses
– H1: Robust performance measurement systems positively correlate with improved operational efficiency.
– H2: Misalignment between traditional and digital metrics hinders decision-making.
– H3: Continuous staff training and technological upgrades enhance measurement accuracy.

Scope and Limitations of the Study
The study focuses on the investment banking division at Stanbic IBTC Bank. Data is drawn from internal reports, interviews, and public records; limitations include restricted access to proprietary performance data and the evolving nature of digital technologies.

Definitions of Terms
Performance Measurement Systems: Frameworks used to evaluate an organization’s effectiveness through quantifiable indicators.
Key Performance Indicators (KPIs): Specific metrics that gauge performance relative to strategic goals.
Operational Efficiency: The ability to maximize outputs with minimal resource expenditure.





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