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The Impact of Digital Government Services on Customer Satisfaction and Operational Efficiency
Subject area: Arts, Social Sciences and Humanities · Area of research: Public Services
Abstract
Digital government has moved from a peripheral modernization agenda to a core operating model for public administration. Across mature and emerging administrations alike, governments now rely on portals, mobile applications, interoperable back-office platforms, cloud services, analytics, and increasingly artificial intelligence to deliver services at scale. Yet the value of digital government should not be inferred from digitization alone. The central policy question is whether digital government services improve customer satisfaction while also producing operational efficiency in public organizations. This review paper synthesizes recent literature published between 2020 and 2026 and uses a PRISMA-informed review logic to map the state of knowledge on these two outcomes and the mechanisms linking them. The review integrates evidence from empirical studies, systematic reviews, and international reports to examine how service quality, information quality, perceived value, trust, digital inclusion, organizational capability, and governance arrangements shape performance. The synthesis shows that digital government tends to improve satisfaction when services are reliable, intuitive, responsive, transparent, and designed around user journeys rather than agency structures. Operational efficiency gains are most visible when front-end digitization is matched by process redesign, interoperability, data governance, and managerial capability. However, benefits are uneven: weak inclusion strategies, fragmented platforms, poor data quality, and insufficient organizational change frequently limit both satisfaction and efficiency. The review contributes a consolidated framework linking service experience to administrative performance, proposes unique review objectives, and identifies research gaps related to measurement, equity, and the transition from e-government to AI-enabled government. The paper concludes that digital government creates durable public value only when customer-facing quality and internal process performance are improved together.
Keywords
digital government; e-government; customer satisfaction; operational efficiency; PRISMA; public service delivery; digital transformation
References
[1] Abagissa, J. (2022). The effects of e-governance on customer satisfaction: The case of Addis Ababa Water and Sewerage Authority. Journal of Accounting and Business Research, 1(1). https://doi.org/10.70301/f15g7474
[2] Al-Kaabi, R. (2023). The impact of e-government services on customer satisfaction in the private sector: A case study of the Kingdom of Bahrain (SIJILAT), an online commercial registration. The Electronic Journal of Information Systems in Developing Countries, 89(6), e12275. https://doi.org/10.1002/isd2.12275
[3] Al-Mamary, Y. H., Alshallaqi, M., Abubakar, A. A., Alhakimi, W., & Alhaidan, H. (2025). A comprehensive conceptual model of digital transformation in public services: Exploring key factors and their impact on government success. Future Business Journal, 11(1), 1–20. https://doi.org/10.1186/s43093-025-00621-8
[4] Alzaabi, A., Metawa, N., & Marks, A. (2025). The role of digital transformation in enhancing government service delivery in the UAE: A literature review. International Review of Management and Marketing, 15(5), 100–106. https://doi.org/10.32479/irmm.19311
[5] Asmawanti-S, D., Afiah, N. N., Ritchi, H., & Suharman, H. (2025). Literature review of government digital services based on public value theory and citizen perspectives. Cogent Business & Management, 12(1), 2518494. https://doi.org/10.1080/23311975.2025.2518494
[6] Buyannemekh, B., Picazo-Vela, S., Luna, D. E., & Luna-Reyes, L. F. (2024). Understanding value of digital service delivery by governments in Mexico. Government Information Quarterly, 41(2), 101936. https://doi.org/10.1016/j.giq.2024.101936
[7] Busch, P. A., Johannessen, M. R., & Pekkola, S. (2025). The evolution of theoretical contributions in digital government research: Insights from GIQ. Government Information Quarterly, 42(3), 102066. https://doi.org/10.1016/j.giq.2025.102066
[8] Department for Science, Innovation and Technology. (2025). State of digital government review. UK Government.
[9] Gong, Y., & Yang, X. (2024). Understanding strategies for digital government transformation: A strategic action fields perspective. International Journal of Information Management, 76, 102766. https://doi.org/10.1016/j.ijinfomgt.2024.102766
[10] Hassan, N. (2025). e-Government initiatives in Egypt: Evaluating effectiveness and implementation challenges. Future Business Journal, 11(1), 1–16. https://doi.org/10.1186/s43093-025-00648-x
[11] Janssen, M., Zhang, H., Ojo, A., Nikiforova, A., Loukis, E., Pereira, G. V., Scholl, H. J., Liu, H. K., Durkiewicz, J., Hughes, L., Zheng, L., Anthopoulos, L., Panagiotopoulos, P., Janowski, T., & Dwivedi, Y. K. (2025). Reflections on the nature of digital government research: Marking the 50th anniversary of Government Information Quarterly. Government Information Quarterly, 42(4), 102086. https://doi.org/10.1016/j.giq.2025.102086
[12] Kala, D., Chaubey, D. S., Meet, R. K., & Al-Adwan, A. S. (2024). Impact of user satisfaction with e-government services on continuance use intention and citizen trust using TAM-ISSM framework. Interdisciplinary Journal of Information, Knowledge, and Management, 19, 1–31. https://doi.org/10.28945/5248
[13] Krejnus, M., Repková Štofková, K., Štofková, J., Štofková, Z., Loučanová, E., Poliaková, A., & Šujanská, L. (2024). Measuring efficiency and satisfaction in the context of digital transformation. Administrative Sciences, 14(9), 217. https://doi.org/10.3390/admsci14090217
[14] Latupeirissa, J. J. P. (2024). Transforming public service delivery: A comprehensive review of digitization initiatives. Sustainability, 16(7), 2818. https://doi.org/10.3390/su16072818
[15] Long, Y., Yang, K., Huang, R., Yuan, G., & Xia, Y. (2025). Enhancing citizen satisfaction with mobile government services in China: The mediating role of trust in service quality and perceived value. Telematics and Informatics, 104, 102355. https://doi.org/10.1016/j.tele.2025.102355
[16] Luo, C., Hasan, N. A. M., & Ahmad, A. M. Z. (2024). Exploring satisfaction and trust as key drivers of e-government continuance intention: Evidence from China for sustainable digital governance. Sustainability, 16(24), 11068. https://doi.org/10.3390/su162411068
[17] MacLean, D., & Titah, R. (2022). A systematic literature review of empirical research on the impacts of e-government: A public value perspective. Public Administration Review, 82(1), 23–38. https://doi.org/10.1111/puar.13413
[18] Mellouli, M., Bouaziz, F., & Bentahar, O. (2020). E-government success assessment from a public value perspective. International Review of Public Administration, 25(3), 153–174. https://doi.org/10.1080/12294659.2020.1799517
[19] Mikalef, P., Lemmer, K., Schaefer, C., Ylinen, M., Fjørtoft, S. O., Torvatn, H. Y., Gupta, M., & Niehaves, B. (2023). Examining how AI capabilities can foster organizational performance in public organizations. Government Information Quarterly, 40(1), 101797. https://doi.org/10.1016/j.giq.2022.101797
[20] Mo, H., & Beh, L.-S. (2025). From expectation and participation to satisfaction: The moderating role of perceived government responsiveness in digital government. Administrative Sciences, 15(9), 364. https://doi.org/10.3390/admsci15090364
[21] OECD. (2025). Government at a glance 2025. OECD Publishing. https://doi.org/10.1787/0efd0bcd-en
[22] Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
[23] Patil, K. P., & Bharathi, S. V. (2024). Citizen satisfaction through the development of a sustainable mobile government service model—A blended approach through M-S-QUAL and EGAM theories. Journal of Information & Knowledge Management, 23(3), 2450048. https://doi.org/10.1142/S0219649224500485
[24] Peeters, R., Miller, S. M., & Schuilenburg, M. (2025). Digital government inclusion: Exploring strategies for inclusive government automation. Government Information Quarterly, 42(2), 102028. https://doi.org/10.1016/j.giq.2025.102028
[25] Pham, L., Limbu, Y. B., Le, M. T. T., & Nguyen, N. L. (2023). E-government service quality, perceived value, satisfaction, and loyalty: Evidence from a newly emerging country. Journal of Public Policy, 43(4), 812–833. https://doi.org/10.1017/S0143814X23000296
[26] Rahmatullah, R., Habibi, A., Khaeruddin, K., Yaqin, L. N., Alharmali, T. M., Fauzee, M. S. O., & Mahat, J. (2025). A study of user satisfaction and net benefits in Indonesia through the DeLone and McLean model for e-government success. Discover Sustainability, 6(1), 1–18. https://doi.org/10.1007/s43621-025-01645-4
[27] Savveli, I., Rigou, M., & Balaskas, S. (2025). From e-government to AI e-government: A systematic review of citizen attitudes. Informatics, 12(3), 98. https://doi.org/10.3390/informatics12030098
[28] Schmeling, J., al Dakruni, S., & Mergel, I. (2025). Data collaboration in digital government research: A literature review and research agenda. Government Information Quarterly, 42(3), 102063. https://doi.org/10.1016/j.giq.2025.102063
[29] Shayganmehr, M., Kumar, A., Garza-Reyes, J. A., & Zavadskas, E. K. (2023). A framework for assessing trust in e-government services under uncertain environment. Information Technology & People, 36(7), 2718–2755. https://doi.org/10.1108/ITP-01-2021-0096
[30] Simonofski, A., Clarinval, A., Vanderose, B., Dumas, B., & Snoeck, M. (2021). What influences citizens’ expectations towards digital government? An exploratory survey. Digital Policy, Regulation and Governance, 23(2), 154–172. https://doi.org/10.1108/DPRG-12-2020-0173
[31] Singh, S., Kumar, V., Paliwal, M., Verma, P., & Rajak, B. (2022). A citizen-centric approach to understand the effectiveness of e-government web portals: Empirical evidence from India. Information Polity, 27(4), 539–555. https://doi.org/10.3233/IP-220001
[32] United Nations. (2020). United Nations e-government survey 2020: Digital government in the decade of action for sustainable development. United Nations.
[33] United Nations. (2022). United Nations e-government survey 2022: The future of digital government. United Nations.
[34] United Nations. (2024). United Nations e-government survey 2024: Accelerating digital transformation for sustainable development. United Nations.
[35] Verastegui, M. D.-G., Sandoval-Almazan, R., & Medina-Quintero, J. M. (2023). A literature review of e-government research in Mexico utilizing the PRISMA methodology. International Journal of Public Administration in the Digital Age, 10(1). https://doi.org/10.4018/IJPADA.327856
[36] Waara, Å., Flak, L. S., & Madsen, C. Ø. (2025). Examining digital government maturity models: Evaluating the inclusion of citizens. Administrative Sciences, 15(3), 73. https://doi.org/10.3390/admsci15030073
[37] Yang, C., Gu, M., & Albitar, K. (2024). Government in the digital age: Exploring the impact of digital transformation on governmental efficiency. Technological Forecasting and Social Change, 208, 123722. https://doi.org/10.1016/j.techfore.2024.123722
How to cite this paper
@article{1715339,
author = {Suhail Adel Abdo Sarhan},
title = {The Impact of Digital Government Services on Customer Satisfaction and Operational Efficiency},
journal = {Iconic Research And Engineering Journals},
year = {2026},
volume = {9},
number = {9},
pages = {2023-2035},
issn = {2456-8880},
url = {https://www.irejournals.com/formatedpaper/1715339.pdf},
abstract = {Digital government has moved from a peripheral modernization agenda to a core operating model for public administration. Across mature and emerging administrations alike, governments now rely on portals, mobile applications, interoperable back-office platforms, cloud services, analytics, and increasingly artificial intelligence to deliver services at scale. Yet the value of digital government should not be inferred from digitization alone. The central policy question is whether digital government services improve customer satisfaction while also producing operational efficiency in public organizations. This review paper synthesizes recent literature published between 2020 and 2026 and uses a PRISMA-informed review logic to map the state of knowledge on these two outcomes and the mechanisms linking them. The review integrates evidence from empirical studies, systematic reviews, and international reports to examine how service quality, information quality, perceived value, trust, digital inclusion, organizational capability, and governance arrangements shape performance. The synthesis shows that digital government tends to improve satisfaction when services are reliable, intuitive, responsive, transparent, and designed around user journeys rather than agency structures. Operational efficiency gains are most visible when front-end digitization is matched by process redesign, interoperability, data governance, and managerial capability. However, benefits are uneven: weak inclusion strategies, fragmented platforms, poor data quality, and insufficient organizational change frequently limit both satisfaction and efficiency. The review contributes a consolidated framework linking service experience to administrative performance, proposes unique review objectives, and identifies research gaps related to measurement, equity, and the transition from e-government to AI-enabled government. The paper concludes that digital government creates durable public value only when customer-facing quality and internal process performance are improved together.},
keywords = {digital government; e-government; customer satisfaction; operational efficiency; PRISMA; public service delivery; digital transformation},
month = {March},
doi = {https://doi.org/10.64388/IREV9I9-1715339}
}