The study aimed to develop a customized Data Governance Maturity Model (DGMM) for the Ministry of Defence (MoD) in Kenya to address data governance challenges in military settings. Current frameworks lack specific requirements for the defence industry. The model uses Key Performance Indicators (KPIs) to enhance data governance procedures. Design Science Research guided the study, using qualitative and quantitative methods to gather data from MoD personnel. Major deficiencies were found in data integration, quality control, and adherence to data security regulations. The DGMM helps the MOD improve personnel, procedures, technology, and organizational elements related to data management. The model was tested against ISO/IEC 38500 and recommended for use in other government sectors with similar data governance issues. The DGMM has the potential to enhance data management efficiency, security, and compliance in the MOD and guide further research in military data governance.
Alhassan, I., Sammon, D. and Daly, M. (2016) Data Governance Activities: An Analysis of the Literature. Journal of Decision Systems , 25, 64-75. https://doi.org/10.1080/12460125.2016.1187397
Rivera, S., Loarte, N., Raymundo, C. and Dominguez, F. (2017) Data Governance Maturity Model for Micro Financial Organizations in Peru. Proceedings of the 19 th International Conference on Enterprise Information Systems , Porto, 26-29 April 2017, 203-214. https://doi.org/10.5220/0006149202030214
Olaitan, O., Herselman, M. and Wayi, N. (2019) A Data Governance Maturity Evaluation Model for Government Departments of the Eastern Cape Province, South Africa. SA Journal of Information Management , 21, a996. https://doi.org/10.4102/sajim.v21i1.996
MacFeely, S., Me, A., Fu, H., Veerappan, M., Hereward, M., Passarelli, D., et al . (2022) Towards an International Data Governance Framework. Statistical Journal of the IAOS , 38, 703-710. https://doi.org/10.3233/sji-220038
Kevins, J. and Brian, K. (2022) Defining Data Protection in Kenya: Challenges, Perspectives and Opportunities. SSRN Electronic Journal . https://doi.org/10.2139/ssrn.4270712
Otele, O. (2021) Kenya’s Data Protection Regime: Challenges and Future Prospects. Journal of African Politics , 1, 66-88. https://doi.org/10.58548/2021jap101.6688
Tay, C. (2015) Factors Affecting Data Migration in the Kenya Government Ministries. Ph.D. Thesis, University of Nairobi.
Bor, T.K. (2020) Military Involvement in Multi-Agency Security Operations in Eastern Africa: A Case of Kenya Defence Forces. https://erepository.uonbi.ac.ke/handle/11295/154113
Busolo, G. (2019) The Role of Information Security Management System in Promoting African Development: A Case Study of Kenya. Master’s Thesis, University of Nairobi.
Duncan, A.D. (2021) Over 100 Data and Analytics Predictions through 2025. https://mpost.io/wp-content/uploads/Gartner-100-data-analytics-predictions-2025.pdf
Abraham, R., Schneider, J. and vom Brocke, J. (2019) Data Governance: A Conceptual Framework, Structured Review, and Research Agenda. International Journal of Information Management , 49, 424-438. https://doi.org/10.1016/j.ijinfomgt.2019.07.008
Ekundayo, T., Bhaumik, A., Chinoperekweyi, J. and Khan, Z. (2023) The Impact of Open Data Implementation on Entrepreneurship Ability in Sub-Saharan Africa. Human Behavior and Emerging Technologies , 2023, Article ID: 7583550. https://doi.org/10.1155/2023/7583550
Harland, P.E. and Uddin, Z. (2014) Effects of Product Platform Development: Fostering Lean Product Development and Production. International Journal of Product Development , 19, 259-321. https://doi.org/10.1504/ijpd.2014.064881
Haraguchi, M., Funahashi, T. and Biljecki, F. (2024) Assessing Governance Implications of City Digital Twin Technology: A Maturity Model Approach. Technological Forecasting and Social Change , 204, Article ID: 123409. https://doi.org/10.1016/j.techfore.2024.123409
David Patón-Romero, J., Baldassarre, M.T., Rodríguez, M. and Piattini, M. (2019) Maturity Model Based on CMMI for Governance and Management of Green It. IET Software , 13, 555-563. https://doi.org/10.1049/iet-sen.2018.5351
Moreira, A., Hak, F. and Santos, M.F. (2024) A Maturity Model for Omnichannel Adoption in Health Care Institutions. Heliyon , 10, e38526. https://doi.org/10.1016/j.heliyon.2024.e38526
Sargiotis, D. (2024) Data Governance Maturity Models: Assessing and Enhancing Your Program. In: Sargiotis, D., Ed., Data Governance , Springer Nature Switzerland, 487-510. https://doi.org/10.1007/978-3-031-67268-2_17
Al-Ruithe, M. and Benkhelifa, E. (2017) Cloud Data Governance Maturity Model. Proceedings of the Second International Conference on Internet of Things , Data and Cloud Computing , Cambridge, 22-23 March 2017, 1-10. https://doi.org/10.1145/3018896.3036394
Permana, R.I. and Suroso, J.S. (2018) Data Governance Maturity Assessment at PT. XYZ. Case Study: Data Management Division. 2018 International Conference on Information Management and Technology ( ICIMTech ), Jakarta, 3-5 September 2018, 15-20. https://doi.org/10.1109/icimtech.2018.8528142
Imende-Obonyo, V., Njihia, J.M. and Iraki, X.N. (2024) User Readiness as a Determinant for Use of Big Data Analytics: A Case of State Corporations in Kenya. The Electronic Journal of Information Systems in Developing Countries , 90, 241-267. https://doi.org/10.1002/isd2.12327
Caballero, I., Gualo, F., Rodríguez, M. and Piattini, M. (2023) Maturity Models for Data Governance. In: Caballero, I. and Piattini, M., Eds., Data Governance , Springer, 139-162. https://doi.org/10.1007/978-3-031-43773-1_7
Lachaud, E. (2020) ISO/IEC 27701 Standard: Threats and Opportunities for GDPR Certification. European Data Protection Law Review , 6, 194-210. https://doi.org/10.21552/edpl/2020/2/7
Tachepun, C. and Thammaboosadee, S. (2020) A Data Masking Guideline for Optimizing Insights and Privacy under GDPR Compliance. Proceedings of the 11 th International Conference on Advances in Information Technology , Bangkok, 1-3 July 2020, 1-9. https://doi.org/10.1145/3406601.3406627
Mbanaso, U.M., Abrahams, L. and Okafor, K.C. (2023) Research Philosophy, Design and Methodology. In: Mbanaso, U.M., Abrahams, L. and Okafor, K.C., Eds., Research Techniques for Computer Science , Information Systems and Cybersecurity , Springer, 81-113. https://doi.org/10.1007/978-3-031-30031-8_6
Creswell, J.W. (2018) Research Design: Qualitative, Quantitative and Mixed Methods Approaches. SAGE.
Kaushik, V. and Walsh, C.A. (2019) Pragmatism as a Research Paradigm and Its Implications for Social Work Research. Social Sciences , 8, Article 255. https://doi.org/10.3390/socsci8090255
Şahin, M.D. and Ozturk, G. (2022) Mixed Method Research: Theoretical Foundations, Designs and Its Use in Educational Research. International Journal of Contemporary Educational Research , 6, 301-310. https://doi.org/10.33200/ijcer.574002
Mat Roni, S. and Djajadikerta, H.G. (2021) Data Analysis with SPSS for Survey-Based Research. Springer. https://doi.org/10.1007/978-981-16-0193-4
Clark, A.M. (1998) The Qualitative-Quantitative Debate: Moving from Positivism and Confrontation to Post-Positivism and Reconciliation. Journal of Advanced Nursing , 27, 1242-1249. https://doi.org/10.1046/j.1365-2648.1998.00651.x
Corti, L. and Bishop, L. (2016) Strategies in Teaching Secondary Analysis of Qualitative Data. Forum Qualitative Sozialforschung , 6, Article 47.
De Villiers, M.R. (2012) Models for Interpretive Information Systems Research, Part 2: Design Research, Development Research, Design-Science Research, and Design-based Research—A Meta-Study and Examples. In: Mora, M., Gelman, O., Steenkamp, A.L. and Raisinghani, M., Eds., Research Methodologies , Innovations and Philosophies in Software Systems Engineering and Information Systems , IGI Global, 238-255. https://doi.org/10.4018/978-1-4666-0179-6.ch012