AI-Enabled Enterprise Digital Transformation Strategies for Public Sector Modernization in Saudi Arabia

References

[1] Abduljabbar, R., Dia, H., Liyanage, S. and Bagloee, S.A. (2020). Applications of artificial intelligence in transport: an overview. Sustainability, 12(3), 1087.

[2] Alharbi, F. and Atkins, A. (2022). Digital transformation in Saudi government services: opportunities and challenges. International Journal of Advanced Computer Science and Applications, 13(8), 331-339.

[3] Al-Kahtani, N., Karim, A. and Al-Rakhami, M. (2023). Smart government transformation and data-driven public services in Saudi Arabia. Sustainability, 15(9), 7421.

[4] Almutairi, B. and Alenezi, M. (2021). Digital government adoption in Saudi Arabia: a citizen-centric perspective. Applied Computing and Informatics, 17(2), 175-187.

[5] Criado, J.I. and Gil-Garcia, J.R. (2020). Creating public value through smart technologies and strategies. International Journal of Public Sector Management, 33(5), 505-520.

[6] DGA. (2025). Generative AI in Digital Government. Digital Government Authority, Riyadh.

[7] Dwivedi, Y.K., Hughes, L., Ismagilova, E., Aarts, G., Coombs, C., Crick, T. and Williams, M.D. (2021). Artificial intelligence: multidisciplinary perspectives on emerging challenges, opportunities, and agenda. International Journal of Information Management, 57, 101994.

[8] Fountain, J.E. (2022). The moon, the ghetto and artificial intelligence: reducing systemic racism in computational algorithms. Government Information Quarterly, 39(2), 101645.

[9] Gil-Garcia, J.R., Dawes, S.S. and Pardo, T.A. (2020). Digital government and public management research: finding the crossroads. Public Management Review, 22(5), 633-646.

[10] Janssen, M., Brous, P., Estevez, E., Barbosa, L.S. and Janowski, T. (2020). Data governance: organizing data for trustworthy artificial intelligence. Government Information Quarterly, 37(3), 101493.

[11] Khurshid, M.M., Zakaria, N.H. and Rashid, A. (2023). Artificial intelligence adoption in public organizations: an institutional perspective. Transforming Government: People, Process and Policy, 17(4), 567-586.

[12] Madan, R. and Ashok, M. (2023). AI adoption and diffusion in public administration: a systematic literature review. Transforming Government: People, Process and Policy, 17(1), 128-150.

[13] Medaglia, R., Gil-Garcia, J.R. and Pardo, T.A. (2023). Artificial intelligence in government: taking stock and moving forward. Social Science Computer Review, 41(1), 123-140.

[14] Mikalef, P., Fjørtoft, S.O. and Torvatn, H.Y. (2021). Artificial intelligence in the public sector: a study of challenges and opportunities for Norwegian municipalities. Government Information Quarterly, 38(3), 101596.

[15] Misuraca, G. and van Noordt, C. (2020). AI watch: artificial intelligence in public services. Publications Office of the European Union, Luxembourg.

[16] OECD. (2020). The OECD Digital Government Policy Framework: Six Dimensions of a Digital Government. OECD Publishing, Paris.

[17] OECD. (2021). The OECD Framework for the Classification of AI Systems. OECD Publishing, Paris.

[18] SDAIA. (2020). National Strategy for Data and AI. Saudi Data and Artificial Intelligence Authority, Riyadh.

[19] UN DESA. (2024). United Nations E-Government Survey 2024: Accelerating Digital Transformation for Sustainable Development. United Nations, New York.

[20] UNESCO. (2025). Saudi Arabia: Artificial Intelligence Readiness Assessment. United Nations Educational, Scientific and Cultural Organization, Paris.

[21] Verhoef, P.C., Broekhuizen, T., Bart, Y., Bhattacharya, A., Dong, J.Q., Fabian, N. and Haenlein, M. (2021). Digital transformation: a multidisciplinary reflection and research agenda. Journal of Business Research, 122, 889-901.

[22] Wirtz, B.W., Weyerer, J.C. and Sturm, B.J. (2020). The dark sides of artificial intelligence: an integrated AI governance framework for public administration. International Journal of Public Administration, 43(9), 818-829.

[23] World Bank. (2022). GovTech Maturity Index 2022 Update: Trends in Public Sector Digital Transformation. World Bank, Washington, DC.

[24] Zuiderwijk, A., Chen, Y.C. and 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), 101577.

[25] Zouridis, S., van Eck, M. and Bovens, M. (2020). Automated discretion. In: Bovens, M. and Zouridis, S. (eds.), Digital Government and Public Administration. Routledge, London.

[26] Alshehri, M. and Drew, S. (2020). Implementation of e-government in Saudi Arabia: a review of citizen service transformation. International Journal of Computer Applications, 175(12), 1-9.

[27] Alotaibi, Y.K. and Federico, F. (2022). The impact of digital health transformation on public service performance in Saudi Arabia. Health Informatics Journal, 28(4), 1-14.

[28] Alshahrani, S., Al-Saggaf, Y. and Dawson, L. (2024). Trust, privacy and data governance in Saudi digital government services. Information Polity, 29(2), 183-201.

[29] Rana, N.P., Luthra, S. and Rao, H.R. (2020). Key challenges to digital government transformation: evidence from emerging economies. Information Systems Frontiers, 22(6), 1471-1486.

[30] Mergel, I., Dickinson, H., Stenvall, J. and Gasco, M. (2021). Implementing AI in the public sector. Public Management Review, 23(6), 875-897.

@article{1719566,
      author = {Fahad Yusuf},
      title = {AI-Enabled Enterprise Digital Transformation Strategies for Public Sector Modernization in Saudi Arabia},
      journal = {Iconic Research And Engineering Journals},
      year = {2026},
      volume = {10},
      number = {1},
      pages = {904-915},
      issn = {2456-8880},
      url = {https://www.irejournals.com/formatedpaper/1719566.pdf},
      abstract = {Despite being a viable basis for enterprise digital transformation in public administrations, the benefit of AI depends on governance, data preparedness, workforce buy-in, and the ability to deliver tangible public value, not only on acquiring technology solutions. This review article analyses the potential ways of implementing AI-driven strategies of enterprise digital transformation in supporting public sector reform in the Kingdom of Saudi Arabia focusing on Vision 2030, public service improvement, operational effectiveness, transparency, and resiliency. The research will be based on a structured narrative review enhanced by a thematic synthesis of the relevant literature in the field published within 2020-2025, such as articles about digital government, AI implementation in public administrations, public value, data governance, cyber security, cloud computing, automation, and digital transformation policy in Saudi Arabia. The analysis will identify five strategic pillars – alignment of AI strategies, trusted infrastructure, intelligent automation processes, human-cantered digital services, and responsible AI governance. In addition, it will suggest the framework for implementation and phased strategy for public sector entities in Saudi Arabia. The findings show that AI can help to increase the efficiency of services through accelerating them, improving decision-making, predicting demand, identifying fraudulent activities, triaging cases, allocating resources, interacting in multiple languages, and monitoring performance. However, such barriers as poor inter-operable platform, inadequate governance structure, inflexible procurement practices, lack of talent, explainability concerns, privacy issues, and resistance to change can negatively affect benefits achieved.},
      keywords = {Artificial Intelligence, Digital Transformation, Public Sector Modernization, Saudi Arabia, Vision 2030, Digital Government, Enterprise Strategy, Responsible AI.},
      month = {July},
      doi = {https://doi.org/10.64388/IREV10I1-1719566}
  }