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

Authors

  • Teniayo Temitope Public Administration, Veritas University, Nigeria

DOI:

https://doi.org/10.47667/ijppr.v4i2.209

Keywords:

Governance, Collaboration, Public Administration

Abstract

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.

Downloads

Download data is not yet available.

References

Alvarenga, A., Matos, F., Godina, R., & Matias, J. C. O. (2020). Digital transformation and knowledge management in the public sector. Sustainability (Switzerland), 12(14). https://doi.org/10.3390/su12145824

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). https://doi.org/10.3390/admsci12010026

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). https://doi.org/10.3390/su11133666

Costa, J., & Matias, J. C. O. (2020). Open innovation 4.0 as an enhancer of sustainable innovation ecosystems. Sustainability (Switzerland), 12(19). https://doi.org/10.3390/su12198112

De Matteis, F., Notaristefano, G., & Bianchi, P. (2021). Public—private partnership governance for accessible tourism in marine protected areas (Mpas). Sustainability (Switzerland), 13(15). https://doi.org/10.3390/su13158455

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). https://doi.org/10.3390/su12156149

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. https://doi.org/10.3390/su14031493

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). https://doi.org/10.3390/su142114000

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). https://doi.org/10.3390/sym13091705

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). https://doi.org/10.3390/sym11030340

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). https://doi.org/10.3390/admsci9040090

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). https://doi.org/10.3390/math10193543

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). https://doi.org/10.3390/medicina55100650

Downloads

Published

2023-05-26

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. https://doi.org/10.47667/ijppr.v4i2.209