Evaluating the Characteristics and Suitability of Data Governance Models for Adoption in Malaysia’s Mobility Services Sector

Authors

  • Juliana Hamka Kamaroddin College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Seremban, Seremban, Malaysia
  • Siti Salwa Salleh College of Computing, Informatics and Mathematics, Universiti Teknologi MARA Cawangan Negeri Sembilan Kampus Seremban, Seremban, Malaysia
  • Syaripah Ruzaini Syed Aris College of Computing, Informatics and Mathematics, Universiti Teknologi MARA, Shah Alam, Malaysia

DOI:

https://doi.org/10.21834/e-bpj.v10iSI31.6927

Keywords:

data governance, mobility services, framework evaluation, digital transformation

Abstract

Malaysia’s mobility services sector requires a robust data governance (DG) framework to ensure secure, transparent, and efficient data management. This study evaluates six established DG modelsincluding COBIT, DAMA-DMBOK, and the DGI Frameworkthrough a thematic literature review, identifying 16 key components grouped into four categories: data, authority, policy and control, and protection. Among these,data architecture, data integration, and data quality are the most critical. The findings provide a foundation for developing a tailored DG framework that supports regulatory compliance, fosters trust, and enhances operational effectiveness across the country’s evolving digital mobility ecosystem.

References

Al-Shakhrit, A., Masri, K. A., & Othman, C. (2021). The Social and Economic Impacts of E-hailing Application in Malaysia: A Review. Construction, 1(2), 40–44. DOI: https://doi.org/10.15282/construction.v1i2.6660

Anjos, P. C. d. (2023). Data governance: proposal for a conceptual framework for brazilian public administration. Law &Amp;amp; Digital Technologies, 3(2), 26. DOI: https://doi.org/10.18254/S278229070029173-6

Ballard, C., Baldwin, J., Baryudin, A., Brunell, G., Giardina, C., Haber, M., O’neill, E. A., & Shah, S. (2014). IBM Information Governance Solutions. Redbooks, 1–241.

Cordero, F. C., LaMondia, J. J., & Bowers, B. F. (2023). Performance measure–based framework for evaluating transportation infrastructure resilience. Transportation Research Record: Journal of the Transportation Research Board, 2678(5), 601-616. DOI: https://doi.org/10.1177/03611981231190396

DAMA International. (2014). DAMA-DMBOK2 framework. The Data Management Association, 1–27.

Ekundayo, T., Bhaumik, A., & Chinoperekweyi, J. (2023). Identifying the core data governance framework principle: A framework comparative analysis. Organization Leadership and Development Quarterly, 5(1), 30–53.

Gehrke, S. R., Felix, A., & Reardon, T. G. (2019). Substitution of ride-hailing services for more sustainable travel options in the greater Boston region. Transportation Research Record, 2673(1), 438–446. DOI: https://doi.org/10.1177/0361198118821903

Gómez, M., Ruiz, L., Torres, P., & Silva, F. (2024). Enhancing Data Integration for Interoperable Smart Mobility Systems. Journal of Urban Digital Innovation, 12(1), 55–73.

Greenhill, A., Fletcher, G., & Macdonald, S. (2020). Adaptive Governance in Digital Public Service Ecosystems. Government Information Quarterly, 37(1), 101414.

Habibie, K., Suhardi, S., & Muhamad, W. (2023). Implementation of Data Governance on the Open Government Data Management Platform to Improve Data Quality. IJAIT (International Journal of Applied Information Technology), 92-102. DOI: https://doi.org/10.25124/ijait.v7i02.5979

ISACA. (2019). COBIT 2019 Framework - Introduction and Methodology.

Jais, A. S., & Marzuki, A. (2020). E-Hailing services in Malaysia: Current practices. Journal of the Malaysian Institute of Planners, 18(3), 128–141. DOI: https://doi.org/10.21837/pm.v18i13.780

Janssen, M., Brous, P., Estévez, E., Barbosa, L. S., & Janowski, T. (2020). Data governance: organizing data for trustworthy artificial intelligence. Government Information Quarterly, 37(3), 101493. DOI: https://doi.org/10.1016/j.giq.2020.101493

Jian, Y., Zhang, H., Wang, R., & Lin, X. (2023). Integrating electric mobility-as-a-service (eMaaS) into smart city infrastructure: An architectural perspective. Journal of Smart Mobility Systems, 7(2), 101–117.

Khatri, V., & Brown, C. V. (2010). Designing data governance. Communications of the ACM, 53(1), 148-152. DOI: https://doi.org/10.1145/1629175.1629210

Lu, Y., Qi, Y., Qi, S., Li, Y., Song, H., & Liu, Y. (2022). Say no to price discrimination: Decentralized and automated incentives for price auditing in ride-hailing services. IEEE Transactions on Mobile Computing, 21(2), 663–680. DOI: https://doi.org/10.1109/TMC.2020.3008315

Mao, Z., Wu, J., Qiao, Y., & Yao, H. (2021). Government data governance framework based on a data middle platform. Aslib Journal of Information Management, 74(2), 289-310. DOI: https://doi.org/10.1108/AJIM-03-2021-0068

Osu, T., & Navarra, D. (2022). Development of a data governance framework for smart cities. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48(4/W5-2022), 129–136. DOI: https://doi.org/10.5194/isprs-archives-XLVIII-4-W5-2022-129-2022

Rahman, N. A. A., Abdullah, Y. A., Nasrudin, N., & Yusoff, Z. M. (2018). Assessing urban public transportation institutional framework in klang valley. Planning Malaysia Journal, 16(7). DOI: https://doi.org/10.21837/pmjournal.v16.i7.504

Ruslan, I. F., Alby, M. F., & Lubis, M. (2022). Applying data governance using DAMA-DMBOK 2 framework: The case for human capital management operations. ACM International Conference Proceeding Series, 336–342. DOI: https://doi.org/10.1145/3568834.3568866

Silva, R., & Guimarães, T. (2023). Regulatory Governance in Urban Transportation: Institutional Responses to Digital Disruption. Journal of Transport Policy and Regulation, 45(2), 98–112.

So, H., Tan, M., Lim, W., & Chua, Y. (2020). Enhancing Data Quality for Smart Mobility Systems: A Framework for Predictive Analytics. Journal of Urban Data Science, 8(1), 45–60.

Wang, L. (2023). Design Science Approaches for Data Governance Frameworks in Digital Ecosystems. Journal of Information Systems Design and Theory, 16(4), 67–82.

Yebenes, J., & Zorrilla, M. (2019). Towards a data governance framework for third generation platforms. In E. Shakshuki (Ed.), Procedia computer science (pp. 614–621, Vol. 151). Elsevier B.V. DOI: https://doi.org/10.1016/j.procs.2019.04.082

Yin, R. K. (2014). Case Study Research: Design and Methods (5th ed.). Thousand Oaks, CA: SAGE Publications.

Yuan, J., Liu, T., Zhang, K., & Wang, Y. (2024). Blockchain-based data security frameworks for e-government services: Enhancing trust and transparency. Journal of Digital Governance, 10(1), 22–39.9.

Zhang, S., Gu, M., Wu, X., Liu, H., & Huang, X. (2024). Design and application of transport planning analysis and data service platform based on flexible architecture technology. Seventh International Conference on Traffic Engineering and Transportation System (ICTETS 2023), 92. DOI: https://doi.org/10.1117/12.3015798

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Published

2025-05-31

How to Cite

Kamaroddin, J. H., Salleh, S. S., & Syed Aris, S. R. (2025). Evaluating the Characteristics and Suitability of Data Governance Models for Adoption in Malaysia’s Mobility Services Sector. Environment-Behaviour Proceedings Journal, 10(SI31), 3–11. https://doi.org/10.21834/e-bpj.v10iSI31.6927