Examining the Factors Affecting the Adoption of Artificial Intelligence-Based E-Government Services in the United Arab Emirates
DOI:
https://doi.org/10.70301/Keywords:
E-government services, Artificial Intelligence, UAE, Performance ExpectancyAbstract
It is imperative that governments incorporate information and communication technologies (ICTs) into their public administration systems in order to fulfill the ever-increasing demands of citizens, civil society, corporations, and other stakeholders. According to Aleisa (2024), e-government is defined as the usage of information and communication technology (ICT) by the government in order to furnish superior public services, improve the interaction between citizens and the government, and encourage a larger level of citizen participation in decision-making. The government's decision to implement AI has resulted in the emergence of a great deal of complications. The purpose of this study is to investigate the elements that influence the process of implementing e-government services that are powered by artificial intelligence in the United Arab Emirates. This study's findings offer businesses in the United Arab Emirates and beyond ideas that can be put into action. They underline how important it is to address the use of artificial intelligence in order to improve employee performance, particularly in the area of e-Government services in the United Arab Emirates. By contributing to the knowledge of strategic road mapping for the successful implementation of e-government and its possible applications by the public sector in the UAE, the findings of this research will contribute to the knowledge obtained.
References
Abu Karsh, S. M., & Hussein, B. H. (2021). Analysis of Citizens’ Satisfaction (Acceptance & Needs) with EGovernment Public Services. International Journal of Academic Information Systems Research (IJAISR), 5(11), 1–14.
Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C. (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors, 23(11). https://doi.org/10.3390/s23115206
AlBesher, A., & Kumar, K. (2022). Use of artificial intelligence to enhance e-government services. Measurement: Sensors, 24, 100484. https://doi.org/10.1016/j.measen.2022.100484
Aleisa, N. (2024). Key factors influencing the e-government adoption: a systematic literature review. Journal of Innovative Digital Transformation, Vol. ahead-of-print No. ahead-of-print. https://doi.org/10.1108/jidt-09-2023-0016
Alhosani, K., & Alhashmi, S. M. (2024). A review of the opportunities, challenges, and benefits of AI innovation in government services. Discover Artificial Intelligence, 4(1), 18. https://doi.org/10.1007/s4416302400111w
Alsuwaidi, S. J., & Amin, A. (2023). The Impact of E-Service Quality on Institutional Excellence Within Abu Dhabi Municipality in the UAE. International Journal of Professional Business Review, 8(4), e0960–e0960. Ashaye, O. R., & Irani, Z. (2019). The role of stakeholders in effectively using e-government resources in public services. International Journal of Information Management, 49, 253–270. https://doi.org/10.1016/j.ijinfomgt.2019.05.016
Ashaye, O. R., & Irani, Z. (2019). The role of stakeholders in effectively using e-government resources in public services. International Journal of Information Management, 49, 253–270. https://doi.org/10.1016/j.ijinfomgt.2019.05.016
Bokhari, S. A. A., & Myeong, S. (2022). Artificial Intelligence-Based Technological-Oriented Knowledge Management, Innovation, and E-Service Delivery in Smart Cities: Moderating Role of E-Governance. Applied Sciences, 12(17), 8732. https://doi.org/10.3390/app12178732
Botrić, V., & Božić, L. (2021). The Digital Divide and E-Government in European Economies. Economic ResearchEkonomska Istraživanja, 34(1), 2935–2955. https://doi.org/10.1080/1331677X.2020.1863828
Chen, T., Ramon, G. J., Brian, B. G., Dey, A., & Werthmuller, D. (2024). Characterizing technology affordances, constraints, and coping strategies for information dissemination to the public: Insights from emergency messaging in US local governments. Government Information Quarterly, 41(1), 101910. https://doi.org/10.1016/j.giq.2024.101910
Chinnasamy, P., Tejaswini, D., Dhanasekaran, S., Ramprathap, K., Lakshmi Priya, K., & Kiran, P. (2023). eGovernance Services using Artificial Intelligence Techniques. 2023 International Conference on Computer Communication and Informatics (ICCCI), 1–7. https://doi.org/10.1109/ICCCI56745.2023.10128646
Chohan, S. R., & Akhter, Z. H. (2021). Electronic government services value creation from artificial intelligence: AI-based e-government services for Pakistan. Electronic Government, an International Journal, 17(3), 374. https://doi.org/10.1504/eg.2021.116003
Colosimo, B. M., del Castillo, E., Jones-Farmer, L. A., & Paynabar, K. (2021). Artificial intelligence and statistics for quality technology: an introduction to the special issue. Journal of Quality Technology, 53(5), 443–453. https://doi.org/10.1080/00224065.2021.1987806
Criado, J. I., & Gil-Garcia, J. R. (2019). Creating public value through smart technologies and strategies. International Journal of Public Sector Management, ahead-of-print(ahead-of-print). https://doi.org/10.1108/ijpsm-07-2019-0178
Frank, C., James, B., S. A., & Venkatesh, V. (2021). Service Design and Citizen Satisfaction with EGovernment Services: A Multidimensional Perspective. Public Admin Rev, 81(5), 874–894. https://doi.org/10.1111/puar.13308
Guo, W., Chen, T., & Wei, Y. (2023). Intrinsic need satisfaction, emotional attachment, and value co-creation behaviors of seniors using modified mobile government services. Cities, 141, 104529. https://doi.org/10.1016/j.cities.2023.104529
Haesevoets, T., Verschuere, B., Severen, V., & Roets, A. (2024). How do citizens perceive the use of Artificial Intelligence in public sector decisions? Government Information Quarterly, 41(1), 101906. https://doi.org/10.1016/j.giq.2023.101906
Hjaltalin, I. T., & Sigurdarson, H. T. (2024). The strategic use of AI in the public sector: A public values analysis of national AI strategies. Government Information Quarterly, 41(1), 101914. https://doi.org/10.1016/j.giq.2024.101914
Ilieva, G., Yankova, T., Ruseva, M., Dzhabarova, Y., Veselina, Z., Klisarova-Belcheva, S., Mollova, T., & Dimitrov, A. (2024). Factors Influencing User Perception and Adoption of E-Government Services. Administrative Sciences, 14(3), 54–54. https://doi.org/10.3390/admsci14030054
Islam, M. S., Kabir, M. N., Ghani, N. A., Zamli, K. Zuhairi, Nor, Z., Rahman, M. M., & Moni, M. A. (2024). “Challenges and future in deep learning for sentiment analysis: a comprehensive review and a proposed novel hybrid approach.” Artificial Intelligence Review, 57(3), 62. https://doi.org/10.1007/s10462023106519
Jain, P. H., Kumar, V., Samuel, J., Singh, S., Mannepalli, A., & Anderson, R. (2023). Artificially Intelligent Readers: An Adaptive Framework for Original Handwritten Numerical Digits Recognition with OCR Methods. Information, 14(6), 305. https://doi.org/10.3390/info14060305
Kinder, T., Stenvall, J., Koskimies, E., Webb, H., & Janenova, S. (2023). Local public services and the ethical deployment of artificial intelligence. Government Information Quarterly, 40(4), 101865. https://doi.org/10.1016/j.giq.2023.101865
Kumar, D. P. (2024). The Impact of Digital Technologies on E-Governance: A Comprehensive Analysis. In S. K. Sharma, Y. K. Dwivedi, B. Metri, B. Lal, & A. Elbanna (Eds.), Transfer, Diffusion and Adoption of Next-Generation Digital Technologies (pp. 367–378). Springer Nature Switzerland.
Lawelai, H., Iswanto, I., & Raharja, N. M. (2023). Use of Artificial Intelligence in Public Services: A Bibliometric Analysis and Visualization. TEM Journal, 12(2), 798–807. https://doi.org/10.18421/tem122-24
LengnickHall, C. A., Beck, T. E., & LengnickHall, M. L. (2011). Developing a capacity for organizational resilience through strategic human resource management. International Human Resource Management: Theoretical and Strategic Advances, 21(3), 243–255. https://doi.org/10.1016/j.hrmr.2010.07.001
Lins, S., Pandl, K. D., Teigeler, H., Thiebes, S., Bayer, C., & Sunyaev, A. (2021). Artificial Intelligence as a Service. Business & Information Systems Engineering, 63(4), 441–456. https://doi.org/10.1007/s1259902100708w
Madan, R., & Ashok, M. (2022). AI adoption and diffusion in public administration: A systematic literature review and future research agenda. Government Information Quarterly, 40(1), 101774. https://doi.org/10.1016/j.giq.2022.101774
Mbaidin, H. O. (2021). The Impact of E-Government Success Factors on Citizen Satisfaction: The Context of the UAE. Journal of Hunan University Natural Sciences, 48(12).
Mensah, I. K., Zeng, G., & Mwakapesa, D. S. (2022). Understanding the drivers of the public value of e-government: Validation of a public value e-government adoption model. Frontiers in Psychology, 13(962615), 1–16. https://doi.org/10.3389/fpsyg.2022.962615
Muhammad, A. S., & Kaya, T. (2023). Factors Affecting Citizens' Intention to Adopt E-Government in Nigeria. Journal of Information, Communication and Ethics in Society, 21(3), 271–289. https://doi.org/10.1108/JICES0520220054
Osborne, S. P., Cucciniello, M., Nasi, G., & Zhu, E. (2022). Challenges and opportunities include digital transformation, artificial intelligence, and effective public services. Global Public Policy and Governance, 2(4), 377–380. https://doi.org/10.1007/s43508022000587
Pechtor, V., & Basl, J. (2023). Unraveling The Processes and Challenges of Artificial Intelligence Implementation in The Swiss Public Sector: A Toe Framework Analysis. Idimt-2023: New Challenges for ICT and Management: 31st Interdisciplinary Information Management Talks, Sept. 6–8, 2023, At Hradec Králové, Czech Republic.
Radwan, A. F., Snoussi, T., Ali Mousa, S., & Abdulzaher, M. (2023). Using Smart Applications in Delivering Government Services in the UAE. International Journal of Service Science, Management, Engineering, and Technology, 14(1), 1–15. https://doi.org/10.4018/ijssmet.326520
Robles, P., & Mallinson, D. J. (2023). Artificial intelligence technology, public trust, and effective governance. Rev Policy Res, n/a(n/a). https://doi.org/10.1111/ropr.12555
Sammari, N., & Almessabi, S. S. M. D. (2020). The Impact of Applying Artificial Intelligence on the Quality of Decision-Making of Abu Dhabi Police General Headquarters. Asian Social Science, 16(12), 101. https://doi.org/10.5539/ass.v16n12p101
Sharma, G. D., Yadav, A., & Chopra, R. (2020). Artificial intelligence and effective governance: A review, critique, and research agenda. Sustainable Futures, 2, 100004. https://doi.org/10.1016/j.sftr.2019.100004
Sukarno, M., & Mutiarin, D. (2024). Mapping Publication Trend of EGovernment Development Index (Social Science Discipline Analysis). Jurnal Ilmiah Peuradeun; Vol 12 No 1 (2024): Jurnal Ilmiah PeuradeunDO10.26811/Peuradeun.v12i1.1018. https://journal.scadindependent.org/index.php/jipeuradeun/article/view/1018
Tejedo Romero, F., Araujo, J. F., Tejada, Á., & Ramírez, Y. (2022). E-government mechanisms to enhance the participation of citizens and society: Exploratory analysis through the dimension of municipalities. Technology in Society, 70, 101978. https://doi.org/10.1016/j.techsoc.2022.101978
Touq, A. B., & ALMasri, A. N. (2022). Trends in Egovernment Services: The Case of Dubai City, United Arab Emirates. The Arab World Geographer, 24(2), 150–160. https://doi.org/10.5555/1480680024.2.150
Undi-Phiri, B., & Phiri, J. (2022). Assessing Factors Affecting the Adoption of E-Government Services in Developing Countries for the Transport Sector amidst the Covid-19 Pandemic. Communications and Network, 14(02), 69–90. https://doi.org/10.4236/cn.2022.142006
Veeramootoo, N., Nunkoo, R., & Dwivedi, Y. K. (2018). What determines the success of an e-government service? Validation of an integrative model of e-filing continuance usage. Agile Government and Adaptive Governance in the Public Sector, 35(2), 161–174. https://doi.org/10.1016/j.giq.2018.03.004
Wael, A., Abdallah, W., Ghura, H., & Buallay, A. (2024). Factors influencing artificial intelligence adoption in the accounting profession: the case of the public sector in Kuwait. Competitiveness Review: An International Business Journal, 34(1), 3–27. https://doi.org/10.1108/CR0920220137
Wirtz, B. W., & Daiser, P. (2016). A meta-analysis of empirical e-government research and its future research implications. International Review of Administrative Sciences, 84(1), 144–163. https://doi.org/10.1177/0020852315599047
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