Bedour Alboloushi

Cloud computing is increasingly integrated into e-government initiatives to improve service efficiency (Wibisana et al., 2026). However, this integration raises unique non-technological challenges for developing countries where regulatory and institutional frameworks are still evolving. This paper examines information governance and legislative challenges that hinder effective cloud computing adoption in developing countries (Younus et al., 2025). By using Kuwait as an exploratory case, the paper employs a qualitative case study approach, incorporating a literature review and document analysis to critically examine the non-technological challenges associated with cloud computing. The analysis identifies key information governance and legislative issues that pose significant obstacles to cloud computing integration, including data security, privacy protection, and policy adequacy. To address these challenges, the cloud security framework model (CSFM) is introduced to offer a comprehensive view of legislative and information governance dimensions that support more secure and accountable cloud adoption. The framework provides a lens for government organizations to evaluate governance readiness and regulatory alignment. The paper offers practical implications for policymakers, government entities, and information technology (IT) professionals seeking to support secure and efficient cloud-based e-government services.

Comparative evidence of how two Gulf Cooperation Council (GCC) states translate artificial intelligence (AI) ambitions into post–New Public Management (post‐NPM) outcomes are scarce because most studies focus on Western democracies. To fill this gap, we examine constitutional, collective choice, and operational rules that shape AI uptake in two contrasting GCC members, the United Arab Emirates (UAE) and Kuwait, and whether they foster citizen centricity, collaborative governance, and public value creation. Anchored in Ostrom's Institutional Analysis and Development framework, the study integrates a most similar/most different systems design with multiple sources: 62 public documents issued between 2018 and 2025, embedded UAE cases (Smart Dubai and MBZUAI), and 39 interviews with officials conducted from Aug 2024 to May 2025. Dual coding and process tracing connect rule configurations to AI performance. Our cross‐case analysis identifies four mutually reinforcing mechanisms behind divergent trajectories. In the UAE, concentrated authority, credible sanctions, pro‐innovation narratives, and flexible reinvestment rules transform pilots into hundreds of operating services and significant recycled savings. Kuwait's dispersed veto points, exhortative sanctions, cautious discourse, and lapsed AI budgets, by contrast, confine initiatives to pilot mode despite equivalent fiscal resources. These findings refine institutional theory by showing that vertical rule coherence, not wealth, determines AI's public value yield, and temper post‐NPM optimism by revealing that efficiency metrics advance societal goals only when backed by enforceable safeguards. To curb ethics washing and test the transferability of these mechanisms beyond the GCC, future research should track rule diffusion over time, experiment with blended legitimacy‐efficiency scorecards, and investigate how narrative framing shapes citizen consent for data sharing. Related Articles: Robles, P. and D. J. Mallinson 2023. “Catching up With AI: Pushing Toward a Cohesive Governance Framework.” Politics & Policy , 51, no. 3: 355–372. https://doi.org/10.1111/polp.12529 . Veloso Meireles, A. 2024. “Digital Rights in Perspective: The Evolution of the Debate in the Internet Governance Forum.” Politics & Policy 52, no. 1: 12–32. https://doi.org/10.1111/polp.12571 . Zeng, J., T. Stevens, and Y. Chen. 2017. “China's Solution to Global Cyber Governance: Unpacking the Domestic Discourse of ‘Internet Sovereignty.’” Politics & Policy 45 no. 3: 432–64. https://doi.org/10.1111/polp.12202 .

This study examines the impact of job demands, particularly after hours communication, on burnout and well-being among female employees in Kuwait’s Ministry of Education. This study is based on the job demands-resources (JD-R) model and boundary theory (Ashforth et al., 2000; Demerouti & Bakker, 2023). Utilizing a sample of 643 participants, the research employs principal component analysis (PCA) and linear regression to identify key predictors of well-being. Findings reveal that specific job demands, when perceived as manageable challenges, positively associate with well-being. Conversely, poor supervisory relationships significantly detract from well-being, highlighting the critical role of management support. The study highlights the importance of implementing the right to disconnect policy to enhance work-life balance and protect mental health. Implications for policy include improving supervisory relationships, providing boundary management training, and ensuring a balance between job demands and resources. Recommendations for future research include longitudinal studies and cross-cultural comparisons to further explore these dynamics. This research contributes to the growing body of knowledge on work-life balance and employee rights, offering practical recommendations for policymakers, organizational leaders, and academics.

As governments around the world embrace the digital revolution, AI-driven innovation emerges as a powerful tool for transforming public sector operations and e-government services. AI-driven innovation offers significant opportunities for governments, such as increasing operational efficiency, fostering citizen engagement, and enabling more effective decision-making. However, the integration of AI in the public sector also presents key challenges, such as data privacy concerns and algorithmic bias. This chapter provides a comprehensive analysis of AI integration in the public sector across various key domains. It explores both the significant opportunities and the critical considerations that governments must address to ensure the effective and ethical utilization of AI technologies.

This paper aims to understand the moderating role of mobile payment platform applications by analyzing the various factors that influence the online purchase intention of customers in Kuwait

Unemployment, extreme and persistent poverty, gender inequality and slow economic development are some of the challenges confronting the world today (Forum, 2016). Entrepreneurship has been identified as one of the solutions to these challenges (Musanzikwa, 2014). SMEs represent roughly 90% of all firms and are responsible for 50% of employment worldwide, as well as up to 40% of GDP in emerging markets, according to The World Bank (World Bank SME Finance: Development news, research, data | World Bank, 2021) Higher Education Institutes play crucial role in supporting and promoting SMEs. “Universities are agents of economic and technological development”, noted by Alexander and Eugeniy (2012:47) The traditional role of Higher Education Institutes is the creation and the dissemination of knowledge through Research and Education and hence they fuel the economy with a workforce that possesses knowledge and skills, hence HEIs play crucial role in supporting and promoting SMEs. In this concept paper we explore the role of HEIs in supporting SMEs from both research and teaching perspectives. We also shed the light on Internship and on its importance as one of the strategies that HEIs adopt in order to put knowledge into practical context and hence contributing to instilling the spirit of entrepreneurship in students. Furthermore, we examine the effect of internship on SMEs. Keywords: higher education, SMEs, research and teaching DOI: 10.7176/EJBM/15-5-01 Publication date: February 28^th 2023