Oct 2026· Emerald Group Publishing Limited eBooks· 37 references
E-Government and Public Services
Abstract
Purpose: The chapter examines e-government and financial inclusion practices globally and upholds the duo as the basis of a resilient economy, serving as a means of unlocking opportunities with technology. Need for the study: The chapter justifies how e-government initiatives promote financial inclusion by leveraging digital financial services to enhance economic growth, while addressing digital challenges and empowering policymakers with technological advancements for sustainable development. Methodology: Adopting a qualitative approach, the chapter incorporates scholarly material and infographics to explain the chapter’s objectives, such as examining e-government and financial inclusion practices, drivers, and limiting factors of the duo. Findings: The benefits of e-government and financial inclusion are more evident in countries such as Singapore, Estonia, the United Arab Emirates, and Kenya than in countries like Afghanistan and Somalia. The success rate is high in developed countries but very low in developing countries. Additionally, key factors such as cyber threats, the digital divide, policy gaps, and budgetary structural deficits hinder the achievement of result-oriented e-government and financial inclusion. Practical implications: Humans live in a digitally connected universe, where AI-driven technologies are transforming human lives and perceptions. As such, proper harnessing and implementation of e-government and financial inclusion guarantee a better future for both the government and its citizens.
The method, ECCOLA, is presented, which aims at making the high-level AI ethics principles more practical, making it possible for developers to more easily implement them in practice.
Ville Vakkuri, Kai-Kristian Kemell, P. Abrahamsson· EUROMICRO Conference on Soft...· 64 citations· ⚡6
The goal is to not only refine the accuracy of the LLM-based tool but also to underscore its potential in streamlining the software development lifecycle through proactive code improvement and education.
Z. Rasheed, Malik Abdul Sami, Muhammad Waseem et al.· arXiv.org· 62 citations· ⚡3
The use of large language models to automatically improve the user story quality in Austrian Post Group IT agile teams is explored, with a reference model for an Autonomous LLM-based Agent System developed and implemented at the company.
Zheying Zhang, M. Rayhan, Tomas Herda et al.· International Conference on...· 48 citations· ⚡4
This paper introduces a novel multi-AI-agent system designed to fully automate SLRs, and demonstrates how it substantially reduces the time and effort traditionally required for SLRs while maintaining comprehensiveness and precision.
Abdul Malik Sami, Z. Rasheed, Kai-Kristian Kemell et al.· arXiv.org· 44 citations· ⚡2
The proposed LLM-based multi-agent system automates qualitative data analysis process, creating opportunities for researchers and practitioners, and future improvements focus on enhancing multilingual performance and integrating continuous expert feedback.
Z. Rasheed, Muhammad Waseem, Aakash Ahmad et al.· arXiv.org· 41 citations
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.