Open Government Data-Based Smart Tourism Analytics: A Conceptual Governance Framework

Authors

  • Ucu Nugraha Universitas Widyatama, Indonesia
  • Murnawan Universitas Widyatama, Indonesia
  • Zakiah Darajat Universitas Widyatama, Indonesia
Pages Icon

DOI:

https://doi.org/10.63158/journalisi.v8i4.1718

Keywords:

Bibliometric Analysis, Conceptual Framework, Open Government Data, Smart Tourism Analytics, Sustainable Destination Governance, Tourism Governance

Abstract

Digital transformation and Open Government Data (OGD) offer opportunities for more transparent, evidence-based, and sustainable tourism governance. However, prior smart tourism and OGD studies remain fragmented, often addressing data publication, analytics, governance, visualization, or sustainability evaluation separately. This study develops an initial conceptual framework for OGD-based Smart Tourism Analytics to support sustainable destination governance. The method combines a structured Scopus-only search, PRISMA-based screening, Biblioshiny mapping, systematic literature synthesis, and layered framework derivation. Of 68 Scopus records published during 2021–2026, 32 documents were selected, comprising 19 core studies and 13 contextual evidence sources. The analysis identifies persistent gaps in OGD integration, analytics readiness, governance control, stakeholder-oriented visualization, and outcome evaluation. The proposed framework includes five layers: OGD integration, smart analytics, decision support and visualization, sustainable destination governance, and tourism outcome evaluation. Pangandaran is used only as an illustrative application context, not as empirical validation. No prototype or live API integration was tested. Accordingly, the framework remains conceptual and requires prototype development, live API integration, and field validation with local governments.

Downloads

Download data is not yet available.

References

[1] U. Gretzel, M. Sigala, Z. Xiang, and C. Koo, “Smart tourism: foundations and developments,” Electronic Markets, vol. 25, no. 3, pp. 179–188, 2015, doi: 10.1007/s12525-015-0196-8.

[2] I. Sustacha, J. F. Baños-Pino, and E. Del Valle, “The role of technology in enhancing the tourism experience in smart destinations: A meta-analysis,” Journal of Destination Marketing & Management, vol. 30, p. 100817, 2023, doi: 10.1016/j.jdmm.2023.100817.

[3] Y. El Archi, B. Benbba, Z. Nizamatdinova, Y. Issakov, G. I. Vargáné, and L. D. Dávid, “Systematic literature review analysing smart tourism destinations in context of sustainable development: Current applications and future directions,” Sustainability, vol. 15, no. 6, p. 5086, 2023, doi: 10.3390/su15065086.

[4] G. C. Wiedenhöft, R. Matheus, S. Saxena, and C. Alexopoulos, “Barriers towards Open Government Data value co-creation: An empirical investigation,” The Electronic Journal of Information Systems in Developing Countries, vol. 89, no. 5, p. e12270, 2023, doi: 10.1002/isd2.12270.

[5] J. Linåker and P. Runeson, “How to enable collaboration in Open Government Data ecosystems: A public platform provider’s perspective,” JeDEM: eJournal of eDemocracy and Open Government, vol. 13, no. 1, pp. 1–30, 2021, doi: 10.29379/jedem.v13i1.634.

[6] M. M. Khurshid, N. H. Zakaria, A. Rashid, M. N. Ahmad, M. I. Arfeen, and H. M. F. Shehzad, “Modeling of Open Government Data for public sector organizations using the potential theories and determinants—A systematic review,” Informatics, vol. 7, no. 3, p. 24, 2020, doi: 10.3390/informatics7030024.

[7] A. van den Berg, M. Hoekstra, and A. F. van Veenstra, “Government data ecosystems for addressing societal challenges: Lessons from two cases in the Netherlands,” Data Policy, vol. 7, p. e79, 2025, doi: 10.1017/dap.2025.10018.

[8] A. Shaharudin, B. van Loenen, and M. Janssen, “Exploring the contributions of open data intermediaries for a sustainable open data ecosystem,” Data Policy, vol. 6, p. e56, 2024, doi: 10.1017/dap.2024.63.

[9] B. W. Wirtz, J. C. Weyerer, M. Becker, and W. M. Müller, “Open government data: A systematic literature review of empirical research,” Electronic Markets, vol. 32, no. 4, pp. 2381–2404, 2022, doi: 10.1007/s12525-022-00582-8.

[10] Z. Qin and Y. Pan, “Design of a smart tourism management system through multisource data visualization-based knowledge discovery,” Electronics (Basel)., vol. 12, no. 3, p. 642, 2023, doi: 10.3390/electronics12030642.

[11] R. Agrawal, V. A. Wankhede, A. Kumar, S. Luthra, and D. Huisingh, “Big data analytics and sustainable tourism: A comprehensive review and network based analysis for potential future research,” International Journal of Information Management Data Insights, vol. 2, no. 2, p. 100122, 2022, doi: 10.1016/j.jjimei.2022.100122.

[12] A. Aguirre Montero and J. A. López-Sánchez, “Intersection of data science and smart destinations: A systematic review,” Front. Psychol., vol. 12, p. 712610, 2021, doi: 10.3389/fpsyg.2021.712610.

[13] L. Errichiello and R. Micera, “A process-based perspective of smart tourism destination governance,” European Journal of Tourism Research, vol. 29, p. 2909, 2021, doi: 10.54055/ejtr.v29i.2436.

[14] B. H. Ye, H. Ye, and R. Law, “Systematic review of smart tourism research,” Sustainability, vol. 12, no. 8, p. 3401, 2020, doi: 10.3390/su12083401.

[15] Emigawaty and A. Syafrianto, “Data quality analysis on Open Government Data portals: A qualitative study using ISO/IEC 25012:2008 standards,” Journal of Information Systems and Informatics, vol. 6, no. 2, pp. 1317–1345, 2024, doi: 10.51519/journalisi.v6i2.862.

[16] I. Kawashita, A. A. Baptista, D. Soares, and M. Andrade, “Open government data use: The Brazilian states and federal district cases,” PLoS One, vol. 19, no. 3, p. e0298157, 2024, doi: 10.1371/journal.pone.0298157.

[17] A. Almuqrin, I. Mutambik, A. Alomran, J. Gauthier, and M. Abusharhah, “Factors influencing public trust in open government data,” Sustainability, vol. 14, no. 15, p. 9765, 2022, doi: 10.3390/su14159765.

[18] A. Bernot et al., “Institutional dimensions in open government data: A deep dive into Indonesia’s Satu Data initiative and its implications for developing countries,” Public Performance & Management Review, vol. 47, no. 6, pp. 1399–1429, 2024, doi: 10.1080/15309576.2024.2377609.

[19] S. Kempeneer, A. Pirannejad, and J. Wolswinkel, “Open government data from a legal perspective: An AI-driven systematic literature review,” Gov. Inf. Q., vol. 40, no. 3, p. 101823, 2023, doi: 10.1016/j.giq.2023.101823.

[20] M. Barati, “Open government data programs and information privacy concerns: A literature review,” eJournal of eDemocracy and Open Government, vol. 15, no. 1, pp. 73–123, 2023, doi: 10.29379/jedem.v15i1.759.

[21] Z. Zainuddin and E. A. P. Akhir, “Systematic literature review of data quality in open government data: Trend, methods, and applications,” IEEE Access, vol. 12, pp. 148466–148487, 2024, doi: 10.1109/ACCESS.2024.3475577.

[22] V. Raca, G. Velinov, S. Dzalev, and M. Kon-Popovska, “A framework for evaluation and improvement of open government data quality: Application to the Western Balkans national open data portals,” Sage Open, vol. 12, no. 2, 2022, doi: 10.1177/21582440221104813.

[23] M. A. Celdrán-Bernabéu, J.-N. Mazón, D. Giner-Sánchez, J. Morales-García, and M. P. Peñarrubia-Zaragoza, “Smart tourism destinations as open data providers: Barriers and opportunities,” Journal of Destination Marketing & Management, vol. 40, p. 101065, 2026, doi: 10.1016/j.jdmm.2025.101065.

[24] W. Muhamad, Suhardi, and Y. Bandung, “Transforming OpenAPI Specification 3.0 documents into RDF-based semantic web services,” J. Big Data, vol. 9, p. 55, 2022, doi: 10.1186/s40537-022-00600-8.

[25] M. J. Page et al., “The PRISMA 2020 statement: An updated guideline for reporting systematic reviews,” BMJ, vol. 372, p. n71, 2021, doi: 10.1136/bmj.n71.

[26] H. Mondal, “A technical note on bibliometric analysis by Biblioshiny and VOSviewer,” Indian Journal of Radiology and Imaging, vol. 36, no. 2, pp. 167–174, 2026, doi: 10.1055/s-0045-1810060.

[27] Q. Shi and L. Shen, “Advancing firm-level digital technology diffusion: A hybrid bibliometric and framework-based systematic literature review,” Systems, vol. 13, no. 4, p. 262, 2025, doi: 10.3390/systems13040262.

[28] M. Azarian, H. Yu, A. T. Shiferaw, and T. K. Stevik, “Do we perform systematic literature review right? A scientific mapping and methodological assessment,” Logistics, vol. 7, no. 4, p. 89, 2023, doi: 10.3390/logistics7040089.

[29] Y. Jabareen, “Building a conceptual framework: Philosophy, definitions, and procedure,” Int. J. Qual. Methods, vol. 8, no. 4, pp. 49–62, 2009, doi: 10.1177/160940690900800406.

[30] B. Anthony Jnr, “Managing digital transformation of smart cities through enterprise architecture - a review and research agenda,” Enterp. Inf. Syst., vol. 15, no. 3, pp. 299–331, 2021, doi: 10.1080/17517575.2020.1812006.

[31] R. Ansyori, N. Qodarsih, and B. Soewito, “A systematic literature review: Critical success factors to implement enterprise architecture,” Procedia Comput. Sci., vol. 135, pp. 43–51, 2018, doi: 10.1016/j.procs.2018.08.148.

[32] T. B. Dangi and J. F. Petrick, “Augmenting the role of tourism governance in addressing destination justice, ethics, and equity for sustainable community-based tourism,” Tourism and Hospitality, vol. 2, no. 1, pp. 15–42, 2021, doi: 10.3390/tourhosp2010002.

[33] X. Dong, S. Gao, A. Xu, Z. Luo, and B. Hu, “Research on tourism carrying capacity and the coupling coordination relationships between its influencing factors: A case study of China,” Sustainability, vol. 14, no. 22, p. 15124, 2022, doi: 10.3390/su142215124.

[34] M. Hara, T. Nagao, S. Hannoe, and J. Nakamura, “New key performance indicators for a smart sustainable city,” Sustainability, vol. 8, no. 3, p. 206, 2016, doi: 10.3390/su8030206.

[35] M. D. Wilkinson et al., “The FAIR Guiding Principles for scientific data management and stewardship,” Sci. Data, vol. 3, p. 160018, 2016, doi: 10.1038/sdata.2016.18.

Downloads

Published

2026-08-22

Issue

Section

Articles