A Framework for Enhancing Public Sector Innovation through Institutional Capacity Building
Table Of Contents
Chapter ONE
INTRODUCTION
- 1.1Introduction to Public Sector Innovation and Institutional Capacity
- 1.2Background of the Framework Development for Enhancing Innovation
- 1.3Statement of the Problem: Challenges in Public Sector Innovation
- 1.4Aim and Objectives of Developing a Capacity-Building Framework
- 1.5Research Questions on Institutional Factors Influencing Innovation
- 1.6Research Hypotheses Relating Capacity Building and Innovation Outcomes
- 1.7Significance of the Framework for Policy and Practice in Public Administration
- 1.8Scope and Delimitations of the Framework Development Study
- 1.9Limitations Encountered in Crafting the Framework
- 1.10Organisation of the Thesis on Public Sector Innovation Infrastructure
- 1.11Operational Definitions of Key Constructs: Innovation, Capacity, and Framework
Chapter TWO
LITERATURE REVIEW
- 2.1Conceptual Foundations of Public Sector Innovation
- 2.2Theoretical Frameworks Underpinning Innovation and Capacity Building
2.
- 2.1The Public Value Theory in Innovation Contexts
2.
- 2.2The Institutional Theory of Change and Capacity
- 2.3Empirical Studies on Public Sector Innovation and Capacity Development
- 2.4Review of Institutional Capacity Building Interventions in Government
- 2.5Challenges and Barriers to Innovation in Public Institutions
- 2.6Success Factors and Enablers of Innovative Public Practices
- 2.7Assessment of Existing Frameworks for Innovation Enhancement
- 2.8Gaps in Literature Pertaining to Capacity Building for Innovation
- 2.9Synthesis of Current Findings and Theoretical Gaps
- 2.10Proposed Conceptual Model for Capacity-Driven Innovation Development
- 2.11Summary of Literature Review and Research Gaps
Chapter THREE
RESEARCH METHODOLOGY
- 3.1Research Design for Framework Development and Testing
- 3.2Philosophical Paradigm Underpinning the Study: Constructivist/Positivist
- 3.3Population of the Study: Public Agencies and Administrative Units
- 3.4Sampling Technique and Sample Size Calculation
- 3.5Data Collection Sources: Questionnaires, Interviews, and Document Analysis
- 3.6Instruments of Data Collection and Their Construction
- 3.7Validity and Reliability Measures for Data Instruments
- 3.8Methods of Data Analysis: Quantitative and Qualitative Approaches
- 3.9Model Specification: Framework Testing and Validation Methods
- 3.10Ethical Considerations in Data Collection and Participant Engagement
Chapter FOUR
DATA PRESENTATION AND ANALYSIS
- ANALYSIS AND DISCUSSION
- 4.1Presentation of Descriptive Data on Institutional Capacity and Innovation
- 4.2Analysis of Capacity Building Interventions and Innovation Outcomes
- 4.3Testing of Hypotheses: Regression Analysis, Path Modeling
- 4.4Interpretation of Results in the Context of the Framework
- 4.5Discussion of Findings in Relation to Existing Literature and Theories
- 4.6Implications of Results for Public Administration Practice
- 4.7Limitations of Data and Analysis Considerations
- 4.8Summary of Key Findings
Chapter FIVE
SUMMARY, CONCLUSION AND RECOMMENDATIONS
- CONCLUSION AND RECOMMENDATIONS
- 5.1Summary of Research Findings on Capacity and Innovation Framework
- 5.2Conclusions Drawn from the Study
- 5.3Contributions to Public Administration Theory and Practice
- 5.4Recommendations for Policy Makers and Public Managers
- 5.5Suggestions for Implementing the Framework in Public Agencies
- 5.6Areas for Future Research in Public Sector Innovation and Capacity
Thesis Abstract
The need for innovative approaches within the public sector has become critical to address the increasing complexity of societal challenges and the demand for improved service delivery. Despite the recognized importance of innovation for enhancing administrative efficiency and responsiveness, many public organizations face persistent institutional barriers that hinder innovative behavior and growth. This study aims to develop a comprehensive framework for enhancing public sector innovation through targeted institutional capacity building, with the specific objectives of identifying key institutional factors influencing innovation, evaluating the current capacity levels, and proposing a strategic model that integrates capacity development processes with innovative outcomes. Employing a mixed-methods research design, the study combines quantitative surveys and qualitative interviews to provide a nuanced understanding of the variables involved. The population comprises 45 local government departments in a metropolitan area, with a stratified random sample of 300 employees at various hierarchical levels selected to ensure diverse perspectives. Data collection instruments include a structured questionnaire measuring institutional capacity dimensions—such as leadership, organizational culture, resource availability, and knowledge management—as well as innovation indicators. Additionally, semi-structured interviews with 25 senior administrators are conducted to triangulate survey findings and gather expert insights. Quantitative data are analyzed using multiple regression analysis to identify significant predictors of innovation, while thematic analysis interprets qualitative responses to uncover underlying themes and contextual factors influencing capacity and innovation practices. The study draws theoretical grounding from the Institutional Theory, which emphasizes the role of formal rules, norms, and routines in shaping organizational behavior, and the Dynamic Capabilities Framework, which highlights the importance of organizational agility and resource deployment in innovating. These frameworks provide a basis for conceptualizing how capacity enhancement can serve as a catalyst for sustained innovation within public institutions. Expected findings anticipate identifying specific institutional factors—such as leadership commitment, a supportive organizational culture, and effective knowledge-sharing mechanisms—that significantly correlate with higher levels of innovation. Moreover, the study is expected to reveal capacity gaps and institutional inertia that impede innovation processes. The proposed framework systematically links capacity-building initiatives with innovation outcomes, illustrating pathways through which strategic interventions can foster an innovative public sector environment. This research contributes theoretical advancement by integrating institutional and dynamic capabilities perspectives into a unified model tailored for public administration contexts. It offers practical guidelines for policymakers and public administrators to design targeted capacity-building programs, emphasizing leadership development, cultural change, and resource optimization to stimulate innovation. The study also extends existing literature by providing empirical evidence from a developing country setting, addressing the underexplored context of local government in fostering innovation. The main conclusion underscores the critical importance of strategic institutional capacity building as a prerequisite for sustainable innovation in the public sector. Recommendations include adopting a holistic approach to capacity enhancement—focusing on leadership training, fostering an innovation-supportive organizational culture, and improving knowledge management systems. The study advocates for continuous capacity assessments and tailored interventions aligned with organizational strategic goals. Future research directions suggest longitudinal studies to evaluate the long-term impact of capacity-building initiatives on innovation performance, as well as comparative analyses across different governmental levels or jurisdictions. Overall, the findings aim to guide the development of resilient, adaptive, and innovative public institutions capable of effectively responding to contemporary societal demands.
Thesis Overview
This research focuses on understanding how public organizations can become more innovative by improving their internal capabilities, which is known as institutional capacity. Public sector innovation involves creating new ways to deliver services, solve problems, or improve government performance. However, many public institutions face challenges such as limited resources, outdated processes, or resistance to change, which hinder innovation. The study aims to develop a practical framework or set of guidelines that government agencies can follow to strengthen their capacity to innovate effectively.
The problem this research addresses is the lack of a clear, comprehensive model that links specific capacity-building activities with successful innovation outcomes in the public sector. While previous studies have discussed aspects of capacity or innovation separately, there is a gap in understanding how to systematically integrate these elements within a unified framework.
The researcher will start by reviewing existing literature on public sector innovation and institutional capacity to identify key concepts and successful practices. Following this, they will conduct case studies in selected government agencies to gather detailed data on current capacity levels and innovation initiatives. Data collection will involve interviews, focus group discussions, and document analysis. The sample will include approximately 10 government agencies of varying sizes and functions, chosen through purposive sampling to ensure diversity.
The collected data will be analysed using thematic analysis for qualitative insights and regression analysis to examine relationships between capacity-building activities and innovation success. The goal is to identify which capacity factors most strongly predict innovation outcomes and how they can be strengthened.
This study will contribute a practical, evidence-based framework that policymakers and managers can use to enhance institutional capacity for innovation. The expected outcome is a set of actionable steps and a model that clarifies how capacity development efforts directly support innovative practices in the public sector, ultimately leading to improved service delivery and government performance.