International Journal of Social Science & Economic Research
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Title:
A REVIEW ON SMART AND INTELLIGENT E-GOVERNANCE

Authors:
Akankshya Pani and Shrasti Mourya

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Akankshya Pani1 and Shrasti Mourya2
1. Research Scholar, Department of Political Science, University of Delhi, Delhi.
2. Research Scholar, School of Computer & Systems Sciences, Jawaharlal Nehru University, New Delhi.

MLA 8
Pani, Akankshya, and Shrasti Mourya. "A REVIEW ON SMART AND INTELLIGENT E-GOVERNANCE." Int. j. of Social Science and Economic Research, vol. 8, no. 4, Apr. 2023, pp. 698-704, doi.org/10.46609/IJSSER.2023.v08i04.010. Accessed Apr. 2023.
APA 6
Pani, A., & Mourya, S. (2023, April). A REVIEW ON SMART AND INTELLIGENT E-GOVERNANCE. Int. j. of Social Science and Economic Research, 8(4), 698-704. Retrieved from https://doi.org/10.46609/IJSSER.2023.v08i04.010
Chicago
Pani, Akankshya, and Shrasti Mourya. "A REVIEW ON SMART AND INTELLIGENT E-GOVERNANCE." Int. j. of Social Science and Economic Research 8, no. 4 (April 2023), 698-704. Accessed April, 2023. https://doi.org/10.46609/IJSSER.2023.v08i04.010.

References

[1]. Accenture (Firm). (2004). eGovernment leadership: High performance, maximum value. Accenture.
[2]. Woods, N. (2000). The challenge of good governance for the IMF and the World Bank themselves. World development, 28(5), 823-841.
[3]. David, P. A., & Wright, G. (1999). General Purpose Technologies and Surges in Productivity: Historical Reflections on the Future of the ICT Revolution.
[4]. Ghosh, S. (2016). The Essence of E-Governance in the Modern Era of Indian Public Administration Today.
[5]. Taeihagh, A. (2021). Governance of artificial intelligence. Policy and society, 40(2), 137-157.
[6]. Chandrasekaran, V., Jia, H., Thudi, A., Travers, A., Yaghini, M., & Papernot, N. (2021). SoK: Machine learning governance. arXiv preprint arXiv:2109.10870.
[7]. Mikalef, P., Boura, M., Lekakos, G., & Krogstie, J. (2020). The role of information governance in big data analytics driven innovation. Information & Management, 57(7), 103361.
[8]. Shinde, R., Patil, S., Kotecha, K., & Ruikar, K. (2021). Blockchain for securing ai applications and open innovations. Journal of Open Innovation: Technology, Market, and Complexity, 7(3), 189.
[9]. Goyal, M., Gupta, N., Jain, A., & Kumari, D. (2020). Smart government e-services for indian railways using Twitter. In Micro-Electronics and Telecommunication Engineering: Proceedings of 3rd ICMETE 2019 (pp. 721-731). Springer Singapore.
[10]. Jain, J., Saurabh, S., Kumar, P., Verma, M. K., Goel, A. D., Gupta, M. K., ... & Raghav, P. R. (2021). COVID-19 vaccine hesitancy among medical students in India. Epidemiology & Infection, 149.

ABSTRACT:
The use of information and communication technologies (ICTs) in the delivery of government services to citizens is referred to as e-governance. The implementation of e-governance has the potential to improve service delivery, citizen participation, and transparency in government operations. Smart e-governance is a relatively new concept in, which artificial intelligence (AI), machine learning, and data analytics are used in government processes. Smart e-governance systems with AI and machine learning models have the potential to transform public service delivery, allowing governments to provide citizens with more efficient and personalised services. Machine learning models can analyse enormous volumes of data, producing predictions and providing insights that might assist governments in identifying and addressing problems before they become significant. The purpose of this research is to study smart e- governance systems utilising machine learning, AI and data analytics models and to assess its effectiveness in improving public service delivery.

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