Collaborative Governance in Local Policy Dynamics: A Scientometric Analysis of Tripartite Actor Engagement in Makassar City, Indonesia

  • Erniwati Erniwati Universitas Pancasakti Makassar
  • Sitti Murniati Muhtar Universitas Hasanuddin
  • Fatma Fatma Universitas Pancasakti Makassar
Keywords: Collaborative governance, Makassar City, Scientometric Analysis

Abstract

This study examines the dynamics of collaborative governance in Makassar City, Indonesia, through a scientometric analysis of academic discourse spanning a decade (2016–2026). Employing the OpenAlex catalog with a Triple-Helix keyword strategy, 14,085 scholarly articles were extracted to investigate perceptual disparities among tripartite governance actors government agencies (OPD), civil society organizations (OMS), and private sector entities using IndoBERT-based sentiment analysis. Findings reveal a competitive academic landscape: positive sentiment (37.0%) marginally surpasses negative sentiment (33.6%), with neutral discourse comprising 29.4%. Cross-actor analysis uncovers significant perceptual dissonance: civil society organizations receive the highest academic criticism (37.1%), whereas government (38.6%) and private sectors (41.9%) dominate positive sentiment. Applying Collaborative Governance Theory, this study argues that the identified actor-specific sentiment disparities reflect structural asymmetries in trust-building mechanisms, institutional design deficits, and facilitative leadership gaps that impede genuine tripartite collaboration

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

Antlov, H., Ibrahim, R., & van Tuijl, P. (2010). Non-governmental organizations in Indonesia: Politics, actors and issues. In H. Antlov & E. R. W. BrUIS (Eds.), NGO governance and accountability in Indonesia (pp. 1–24). Culum Press.

Bello, A., & Enyi, E. (2024). The evolution of government leadership: A bibliometric review spanning traditional to digital-age governance. Cogent Social Sciences, 10(1). https://doi.org/10.1080/23311886.2024.2383856

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

Fakhruzzaman, M. N., Jannah, S. Z., Gunawan, S. W., Pratama, A. I., & Ardanty, D. A. (2024). IndoPolicyStats: Sentiment analyzer for public policy issues. Bulletin of Electrical Engineering and Informatics, 13(1), 482–489. https://doi.org/10.11591/eei.v13i1.5519

Kamaruddin, M. I., Abdullah, H., Said, M. N., Salam, R., & Kasim, A. (2023). Implementation of smart city and holistic benchmark concepts in achieving sustainable urban food security in Makassar City. Sustainability, 15(8), 6432. https://doi.org/10.3390/su15086432

Kurniawan, K., Aji, A. F., Ngoc, D. T., Prasetyo, B. K., Mahendra, R., KEHARUDAN, I., . . . Vandyke, D. (2021). Toward machine translation of Indonesian informal language. arXiv preprint. https://doi.org/10.48550/arXiv.2109.01471

Kusrini, K., Al Fatta, H., Pratiwi, N. K. C., Nugroho, K. S., & Setiawan, A. (2023). Sentiment analysis on public policy evaluation using IndoBERT. Journal of Information Systems and Informatics, 5(2), 521–532. https://doi.org/10.47065/journalisi.v5i2.2690

Nurharjadmo, W., Ansoriyah, F., & Khadija, M. A. (2024). Analyzing public perception using aspect based sentiment analysis: Case study of capital relocation planning of Indonesia. 2024 7th International Conference on Informatics and Computational Sciences (ICIC). https://doi.org/10.1109/ICIC60115.2024.108092

Ostrom, E. (1990). Governing the commons: The evolution of institutions for collective action. Cambridge University Press.

Puspasari, H. M., Mustaqim, I. Z., Syalevi, R., Utami, A. T., & Ruldeviyani, Y. (2024). Evaluation of Indonesia's police public service platforms through sentiment and thematic analysis. IAES International Journal of Artificial Intelligence, 13(2), 1596–1607. https://doi.org/10.11591/ijai.v13.i2.pp1596-1607

Royyan, A. R., & Setiawan, E. B. (2022). Feature expansion Word2Vec for sentiment analysis of public policy in Twitter. Jurnal RESTI (Rekayasa Sistem Dan Teknologi Informasi), 6(1), 78–84. https://doi.org/10.29207/resti.v6i1.3569

Rusliadi, R., Lestari, D., Amiruddin, I., & Puspita, D. P. (2024). Dynamics of Governance and Private Partnership in Social Programme Implementation: A Comparative Study-Regency of Sinjai, Takalar and Bantaeng in Indonesia. Journal of Governance and Local Politics (JGLP), 6(1), 92-106.

Sjahruddin, H., Hamzah, M. L., Razak, A., & Nur, T. (2023). Governance challenges in Makassar metropolitan area: A multi-stakeholder analysis. Journal of Indonesian Government and Politics, 4(2), 112–128. https://doi.org/10.21787/jigp.4.2023.112-128

Syafri, S., Hasan, M., & Sari, D. P. (2022). Urban transportation policy and spatial planning in Makassar City: A critical review. Sustainability, 14(12), 7123. https://doi.org/10.3390/su14127123

Syaifudin, Y. W., & Puspitasari, D. (2017). Twitter data mining for sentiment analysis on peoples feedback against government public policy. Matter: International Journal of Science and Technology, 3(1), 110–122.

Thomann, E., & Sager, F. (2017). Toward a politics of administrative presence: How governance networks can improve governance. Public Administration Review, 77(4), 514–524. https://doi.org/10.1111/puar.12684

Wihardja, M. M., & Sunatma, A. (2020). Collaborative governance in Indonesian urban development: Challenges and opportunities. Journal of Southeast Asian Studies, 25(2), 201–220.

Published
2026-07-22
Abstract viewed = 27 times
PDF downloaded = 19 times