Data-Driven Public Policy for Society 5.0: A Comparative Analysis of Health, Technology, and Governance Indicators Across Asean Countries
Keywords:
Data-driven public policy, Society 5.0, ASEAN, Governance, Digital transformation, Health policyAbstract
Transformation policy public data-driven public policy becomes element key in realizing a welfare - oriented Society 5.0 human. However, its implementation in the ASEAN region is ongoing in context capacity economy, quality of governance, and readiness very diverse technologies. Research This aim analyze and compare readiness as well as performance policy public based on data in ASEAN countries with focus on three dimensions main, namely health, technology, and governance government. Research use approach qualitative with analysis content against secondary data scale large source from international databases standardized, such as Our World in Data, World Bank, WHO, UNDP, and OECD. Analysis done in a way descriptive-comparative for identify pattern difference, gap structural, as well as implications policy cross- country. Research results show that the country with capacity economy high, strong governance quality, and penetration extensive digital infrastructure tend more effective in integrate data into in the formulation process policies and achieve results development more human good. On the other hand, limitations fiscal, weak institutions, and the digital divide becomes obstacle main in data utilization for policy public in a number of ASEAN countries. Findings This confirm that Society 5.0 is a socio-technical process that is not only depends on adoption technology, but also on strengthening institutions, justice social, and orientation human - centered policies.
References
Adel, A., & HS Alani, N. (2024). Human-Centric Collaboration and Industry 5.0 Framework in Smart Cities and Communities: Fostering Sustainable Development Goals 3, 4, 9, and 11 in Society 5.0. Smart Cities, 7(4), 1723–1775. https://doi.org/10.3390/smartcities7040068
Bank, A. D. (2022). Digital transformation in Asia and the Pacific. ADB Publishing.
Bank, W. (2020). GovTech maturity index. World Bank Group.
Bukht, R., & Heeks, R. (2018). Defining, conceptualising and measuring the digital economy. International Organisations Research Journal, 13(2), 143–172. https://doi.org/10.17323/1996-7845-2018-02-07
Chandrasekar, A., Clark, S. E., Martin, S., Vanderslott, S., Flores, E. C., Aceituno, D., Barnett, P., Vindrola-Padros, C., & Vera San Juan, N. (2024). Making the most of big qualitative datasets: a living systematic review of analysis methods. Frontiers in Big Data, 7. https://doi.org/10.3389/fdata.2024.1455399
Deguchi, A., Hirai, C., Matsuoka, H., Nakano, T., Oshima, K., Tai, M., & Tani, S. (2020). What is Society 5.0? Society, 57(5), 557–567. https://doi.org/10.1007/s12115-020-00505-6
Fukuyama, M. (2018). Society 5.0: Aiming for a new human-centered society. Japan Spotlight.
Gil-Garcia, J. R., Dawes, S. S., & Pardo, T. A. (2018). Digital government and public management research: finding the crossroads. Public Management Review, 20(5), 633–646. https://doi.org/10.1080/14719037.2017.1327181
Gotsadze, G., Zoidze, A., Gabunia, T., & Chin, B. (2024). Advancing governance for digital transformation in health: insights from Georgia’s experience. BMJ Global Health, 9(10). https://doi.org/10.1136/bmjgh-2024-015589
Guenduez, A. A., Mettler, T., & Schedler, K. (2020). Technological frames in public administration: What do public managers think of big data? Government Information Quarterly, 37(1). https://doi.org/10.1016/j.giq.2019.101406
Jan, V. D. (2020). The digital divide. In Journal of the Association for Information Science and Technology (208 pp, Vol. 72, Issue 1). UK: Polity. https://doi.org/10.1002/asi.24355
Janssen, M., van der Voort, H., & Wahyudi, A. (2017). Factors influencing big data decision-making quality. Journal of Business Research, 70, 338–345. https://doi.org/10.1016/j.jbusres.2016.08.007
Klievink, B., Romijn, B. J., Cunningham, S., & de Bruijn, H. (2017). Big data in the public sector: Uncertainties and readiness. Information Systems Frontiers, 19(2), 267–283. https://doi.org/10.1007/s10796-016-9686-2
Konstantinidis, I., Kapantai, E., Michailidis, A., Deligiannis, A., Berberidis, C., Magnisalis, I., & Peristeras, V. (2024). From document-centric to data-centric public service provision. Digital Government: Research and Practice, 5(3). https://doi.org/10.1145/3676279
Kruk, M. E., Gage, A. D., & Arsenault, C. (2018). High-quality health systems in the SDG era. The Lancet Global Health, 6(11), e1196–e1252.
Martens, K., & Zscheischler, J. (2022). The Digital Transformation of the Agricultural Value Chain: Discourses on Opportunities, Challenges and Controversial Perspectives on Governance Approaches. Sustainability (Switzerland), 14(7). https://doi.org/10.3390/su14073905
Matheus, R., Janssen, M., & Maheshwari, D. (2020). Data science empowering the public: Data-driven dashboards for transparent and accountable decision-making in smart cities. Government Information Quarterly, 37(3). https://doi.org/10.1016/j.giq.2018.01.006
Mazzucato, M. (2018). Mission-oriented innovation policies: Challenges and opportunities. Industrial and Corporate Change, 27(5), 803–815. https://doi.org/10.1093/icc/dty034
Mergel, I., Edelmann, N., & Haug, N. (2019). Defining digital transformation. Government Information Quarterly, 36(4), 101385.
Mon, H. M., Li, J., Herman, B., Vo, T. H. M., Kunpeuk, W., & Hanvoravongchai, P. (2025). Data for public health analysis in the ASEAN countries: a scoping review protocol. BMJ Public Health, 3(1), e002049. https://doi.org/10.1136/bmjph-2024-002049
Narvaez Rojas, C., Alomia Peñafiel, G. A., Loaiza Buitrago, D. F., & Tavera Romero, C. A. (2021). Society 5.0: A Japanese concept for a superintelligent society. Sustainability (Switzerland), 13(12). https://doi.org/10.3390/su13126567
OECD. (2019). Digital government review. OECD Publishing.
Piketty, T. (2014). Capital in the Twenty-First Century. Belknap Press of Harvard University Press., 45(1), 172–173. https://doi.org/10.1017/s0047279415000616
Sesana, M. M., Salvalai, G., Della Valle, N., Melica, G., & Bertoldi, P. (2024). Towards harmonising energy performance certificate indicators in Europe. Journal of Building Engineering, 95. https://doi.org/10.1016/j.jobe.2024.110323
Tan, S. Y., & Taeihagh, A. (2021). Adaptive governance of autonomous vehicles: Accelerating the adoption of disruptive technologies in Singapore. Government Information Quarterly, 38(2). https://doi.org/10.1016/j.giq.2020.101546
Tissayakorn, K. (2025). Comparative analysis of E-government development status of ASEAN member states: Accomplishments and challenges. Sustainable Futures, 10. https://doi.org/10.1016/j.sftr.2025.101353
Tun, H. M., Naing, L., Malik, O. A., & Rahman, H. A. (2025). Navigating ASEAN region Artificial Intelligence (AI) governance readiness in healthcare. Health Policy and Technology, 14(2). https://doi.org/10.1016/j.hlpt.2025.100981
UNDP. (2021). Governing with foresight in the digital era. United Nations Development Programme.
Zuiderwijk, A., Chen, Y. C., & Salem, F. (2021). Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda. Government Information Quarterly, 38(3). https://doi.org/10.1016/j.giq.2021.101577
Zuiderwijk, A., & Janssen, M. (2014). Open data policies, their implementation and impact: A framework for comparison. Government Information Quarterly, 31(1), 17–29. https://doi.org/10.1016/j.giq.2013.04.003
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Salahudin (Author)

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
Authors who publish with this journal agree to the following terms.
1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgment of its initial publication in this journal.
3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

