Investigating Innovative Models of Governance and Collaboration for Effective Public Administration in a Multi-Stakeholder Landscape


  • Teniayo Temitope Public Administration, Veritas University, Nigeria



Governance, Collaboration, Public Administration


This thesis investigates innovative models of governance and collaboration in public administration to address the complexities of a multi-stakeholder landscape. The study explores the principles, characteristics, types, benefits, and challenges of collaborative governance, public-private partnerships, networked governance, and cross-sectoral collaboration. The research utilizes qualitative and quantitative methods, including interviews, surveys, and document analysis, to gather comprehensive insights. The findings showcase the importance of embracing new approaches that involve government agencies, private sector organizations, and civil society groups working together to tackle complex societal challenges. Tables present the key elements of each model, providing a visual comparison of their features and real-world applications. Additionally, the study highlights evaluation frameworks, such as the Logic Model, Results-Based Management (RBM), Theory of Change, Impact Evaluation, and Utilization-Focused Evaluation, to assess effectiveness and measure impact. The thesis contributes to the field of public administration by emphasizing the significance of collaborative governance and cross-sectoral collaboration. The research provides insights for policymakers, public administrators, and practitioners to adopt effective approaches in addressing challenges and achieving desired outcomes. By embracing innovative models of governance and collaboration, public administration can foster cooperation, inclusivity, and collective problem-solving among stakeholders. The study concludes with a call for further research and implementation of these approaches to create a resilient, responsive, and sustainable public administration system that delivers meaningful impact to society.


Download data is not yet available.


Alvarenga, A., Matos, F., Godina, R., & Matias, J. C. O. (2020). Digital transformation and knowledge management in the public sector. Sustainability (Switzerland), 12(14).

Aristovnik, A., Murko, E., & Ravšelj, D. (2022). From Neo-Weberian to Hybrid Governance Models in Public Administration: Differences between State and Local Self-Government. Administrative Sciences, 12(1).

Canh, N. T., Liem, N. T., Thu, P. A., & Khuong, N. V. (2019). The impact of innovation on the firm performance and corporate social responsibility of Vietnamese manufacturing firms. Sustainability (Switzerland), 11(13).

Costa, J., & Matias, J. C. O. (2020). Open innovation 4.0 as an enhancer of sustainable innovation ecosystems. Sustainability (Switzerland), 12(19).

De Matteis, F., Notaristefano, G., & Bianchi, P. (2021). Public—private partnership governance for accessible tourism in marine protected areas (Mpas). Sustainability (Switzerland), 13(15).

Elmo, G. C., Arcese, G., Valeri, M., Poponi, S., & Pacchera, F. (2020). Sustainability in tourism as an innovation driver: An analysis of family business reality. Sustainability (Switzerland), 12(15).

González‐pérez, L. I., & Ramírez‐montoya, M. S. (2022). Components of Education 4.0 in 21st Century Skills Frameworks: Systematic Review. In Sustainability (Switzerland) (Vol. 14, Issue 3). MDPI.

Guo, X., & Li, X. (2022). A Study on Community Public Safety Collaborative Governance Regime in the Background of COVID-19: Empirical Analysis Based on China and South Korea. Sustainability (Switzerland), 14(21).

Hamrouni, L., Kherfi, M. L., Aiadi, O., & Benbelghit, A. (2021). Plant leaves recognition based on a hierarchical one-class learning scheme with convolutional auto-encoder and siamese neural network. Symmetry, 13(9).

Hu, Z., Ding, S., Li, S., Chen, L., & Yang, S. (2019). Adoption intention of fintech services for bank users: An empirical examination with an extended technology acceptance model. Symmetry, 11(3).

Jukić, T., Pevcin, P., Benčina, J., Dečman, M., & Vrbek, S. (2019). Collaborative innovation in public administration: Theoretical background and research trends of co-production and co-creation. Administrative Sciences, 9(4).

Nagy, M., & Lăzăroiu, G. (2022). Computer Vision Algorithms, Remote Sensing Data Fusion Techniques, and Mapping and Navigation Tools in the Industry 4.0-Based Slovak Automotive Sector. Mathematics, 10(19).

Nguyen, J., Smith, L., Hunter, J., & Harnett, J. E. (2019). Conventional and complementary medicine health care practitioners’ perspectives on interprofessional communication: A qualitative rapid review. Medicina (Lithuania), 55(10).




How to Cite

Temitope, T. (2023). Investigating Innovative Models of Governance and Collaboration for Effective Public Administration in a Multi-Stakeholder Landscape. International Journal Papier Public Review, 4(2), 18-28.