Chapter One — 1.1 Background to the Study

In recent years, Data-Driven Decision Making has emerged as a critical factor shaping organizational change readiness across organizations operating in and around Lagos State. As institutions grapple with the pressures of globalization, regulatory reform, and shifting stakeholder expectations, understanding how data-driven decision making relates to organizational change readiness has become an important area of both scholarly and practical concern.

Within the context of Lagos State, this relationship carries particular significance. Organizations in this setting operate under a distinct combination of economic, regulatory, and market conditions that may amplify or dampen the effect of data-driven decision making on organizational change readiness, making a context-specific inquiry both timely and necessary.

1.2 Statement of the Problem

Despite a growing body of literature on data-driven decision making, there remains limited consensus on the precise nature of its relationship with organizational change readiness, particularly within Lagos State. Many organizations continue to make decisions about data-driven decision making without a clear, evidence-based understanding of how those decisions ultimately affect organizational change readiness. This gap between practice and empirical understanding is the central problem this study seeks to address.

1.3 Objectives of the Study

1. To examine the effect of Data-Driven Decision Making on organizational change readiness in Lagos State.
2. To assess the extent to which data-driven decision making influences organizational change readiness within the study area.
3. To identify the challenges associated with data-driven decision making in relation to organizational change readiness.
4. To recommend strategies for optimizing data-driven decision making in order to improve organizational change readiness.

1.4 Research Questions

1. What is the effect of data-driven decision making on organizational change readiness in Lagos State?
2. To what extent does data-driven decision making influence organizational change readiness within the study area?
3. What challenges are associated with data-driven decision making in relation to organizational change readiness?
4. What strategies can be adopted to optimize data-driven decision making in order to improve organizational change readiness?

1.5 Significance of the Study

This study is significant to a range of stakeholders. For policymakers and regulators, the findings offer evidence to guide the design of frameworks that support healthier outcomes around organizational change readiness. For managers and practitioners within Lagos State, the study provides practical insight into how data-driven decision making can be better managed. Finally, it contributes to the academic literature on business analysis by extending existing knowledge into a specific empirical context, and offers a reference point for future researchers.

1.6 Scope of the Study

The study is limited to an examination of Data-Driven Decision Making and its relationship with organizational change readiness within the context of Lagos State. It reflects a PhD-level scope of analysis and relies on data and perspectives available within that scope; generalizing the findings beyond this specific context should therefore be done with appropriate caution.