Bibliometric Analysis of Collaborative Governance for Smart City Program
DOI:
https://doi.org/10.69812/jgs.v2i1.22Keywords:
Collaborative Governance, Smart City, Stakeholder, Urban InnovationAbstract
The rapid urbanization in Indonesia over the past two decades has brought complex governance challenges, particularly in managing smart city programs that require multi-stakeholder collaboration, technological innovation, and inclusive policy-making. While collaborative governance has been widely studied in global contexts, its application in Indonesia demands adaptation to local socio-cultural values such as mutual cooperation and deliberative consensus. This study aims to map and analyze the development of research on collaborative governance for smart city programs in Indonesia from 2010 to 2024, identifying knowledge structures, thematic trends, and collaboration networks. Employing a quantitative bibliometric approach, data were collected from the Web of Science, Scopus, and Google Scholar databases using systematically designed search strings, screened through the PRISMA protocol, and analyzed with Bibliometrix and VOSviewer software. The findings indicate a steady growth in publications, with seminal works by Ansell & Gash (2008) and Nam & Pardo (2011) serving as key theoretical foundations. Research increasingly integrates governance theory with technology adoption and community engagement, supported by international collaborations involving countries such as the United States, Australia, and the United Kingdom. However, gaps remain in operationalizing collaborative governance at the local level and aligning national policies with municipal autonomy. This study concludes that advancing Indonesia’s smart city agenda requires governance frameworks that are both technologically forward looking and culturally grounded. The bibliometric insights provide a roadmap for policymakers, academics, and practitioners to design sustainable, inclusive, and context-sensitive urban governance strategies that bridge global innovations with local realities
Downloads
References
Ansell, C., & Gash, A. (2008). Collaborative governance in theory and practice. Journal of Public Administration Research and Theory, 18(4), 543–571. https://doi.org/10.1093/jopart/mum032
Ansell, C., & Torfing, J. (2021). Public governance as co-creation: A strategy for revitalizing the public sector and rejuvenating democracy. Cambridge University Press. https://doi.org/10.1017/9781108890960
Anthopoulos, L. (2022). Understanding smart cities: A tool for smart government or an industrial trick? Springer. https://doi.org/10.1007/978-3-030-66693-6
Bryson, J. M., Crosby, B. C., & Bloomberg, L. (2015). Public value governance: Moving beyond traditional public administration and the new public management. Public Administration Review, 75(4), 445–456. https://doi.org/10.1111/puar.12238
Cavada, M., Hunt, D., & Rogers, C. (2019). Do smart cities realise their potential for lower carbon dioxide emissions? Proceedings of the Institution of Civil Engineers - Engineering Sustainability, 172(6), 300–312. https://doi.org/10.1680/jensu.18.00024
Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285–296. https://doi.org/10.1016/j.jbusres.2021.04.070
Emerson, K., Nabatchi, T., & Balogh, S. (2012). An integrative framework for collaborative governance. Journal of Public Administration Research and Theory, 22(1), 1–29. https://doi.org/10.1093/jopart/mur011
Gigerenzer, G. (2020). Bounded rationality: Heuristics and the adaptive toolbox. MIT Press.
Hara, M., Nagao, T., Hannoe, S., & Nakamura, J. (2016). New key performance indicators for a smart sustainable city. Sustainability, 8(3), 206. https://doi.org/10.3390/su8030206
Komninos, N., Kakderi, C., Panori, A., & Tsarchopoulos, P. (2019). Smart city planning from an evolutionary perspective. Journal of Urban Technology, 26(2), 3–20. https://doi.org/10.1080/10630732.2018.1485368
Meijer, A., & Bolívar, M. P. R. (2016). Governing the smart city: A review of the literature on smart urban governance. International Review of Administrative Sciences, 82(2), 392–408. https://doi.org/10.1177/0020852314564308
Nam, T., & Pardo, T. A. (2011). Conceptualizing smart city with dimensions of technology, people, and institutions. In Proceedings of the 12th Annual International Digital Government Research Conference: Digital Government Innovation in Challenging Times (pp. 282–291). ACM. https://doi.org/10.1145/2037556.2037602
Nugroho, P., Pratama, A. B., & Purwanto, E. A. (2023). Collaborative governance in smart city implementation: Case studies in Indonesia. Public Policy and Administration Research, 13(2), 45–56.
Ojo, A., Curry, E., & Janowski, T. (2020). Designing next generation smart city initiatives – Harnessing findings and lessons from a study of ten smart city programs. Proceedings of the 53rd Hawaii International Conference on System Sciences, 2844–2853. https://doi.org/10.24251/HICSS.2020.347
Putra, R. P., Santosa, P. I., & Sari, D. A. (2023). Integrating local wisdom into smart city governance: The case of Indonesia. Smart Cities, 6(4), 1789–1806. https://doi.org/10.3390/smartcities6040090
Santosa, P. I., Sari, D. A., & Nugroho, P. (2024). Institutional challenges in implementing smart city initiatives in Indonesia. Journal of Urban Management, 13(1), 50–61. https://doi.org/10.1016/j.jum.2023.09.004
Sari, D. A., Santosa, P. I., & Nugroho, P. (2022). Policy alignment in multi-level governance for smart cities. Public Administration Issues, 2022(6), 120–138.
Susanti, D., & Lim, Y. (2021). Multi-actor collaboration in Indonesian smart cities: Governance and technology challenges. Asian Journal of Public Affairs, 13(1), 45–62.
Yigitcanlar, T., Desouza, K. C., Butler, L., & Roozkhosh, F. (2022). Contributions and risks of artificial intelligence (AI) in building smarter cities: Insights from a systematic review of the literature. Energies, 13(6), 1473. https://doi.org/10.3390/en13061473
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 Marliani Marliani

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.