The adoption of e-government promises efficiency in the delivery of government services to citizens across various sectors of the economy. Due to this, most Global North countries have advanced in the deployment of e-government for improving public-service delivery. Unfortunately, most African countries, including Ghana, are still lagging in e-government development. This study examined e-government development across African Union member states. It explored the role of e-government in the reform of public administration and governance, focusing on Ghana as a case study. Using a mixed-method approach, the study analyzed secondary data of key e-government indicators using the TOPSIS method. This helped underscore the transformative impact on public administration and governance by using primary data via interviews. The results show advanced progress in some African countries, including Ghana, due to aligned digital strategies with national policies. Also, technology integration is evident in Ghana’s public sector and is reshaping public administration and governance. The study recommends that to achieve the long-term sustainability of these advancements, interagency collaboration and data-sharing mechanisms between the public and private sectors should be strengthened, while all forms of silos should be broken to promote the delivery of services. This study enhances public-service delivery by identifying areas needing both improvement and allocation of resources for shaping e-government policy development.

This systematic review examines the implementation of artificial intelligence (AI) in university administration, focusing on AI tools, ethical issues, prospects, and challenges of AI use by university administrators. Drawing from 23 relevant articles published in Scopus-indexed journals between 2009 and 2023, the findings reveal that AI technologies, including chatbots, predictive analytics, machine learning, natural language processing, and student information systems, are increasingly integrated into university operations to enhance decision-making. The findings also highlight ethical issues, particularly those related to data privacy, algorithmic bias, transparency, and accountability. The absence of specific ethical frameworks and legal regulations risks violating individual rights and institutional integrity. The review further identifies that interdisciplinary collaboration, staff training, and structured deployment strategies are necessary to fully leverage AI’s transformative potential. Challenges hindering effective adoption, including infrastructure deficits, limited technical expertise, data privacy and security, institutional resistance to change, and unresolved ethical and legal issues, are also discussed. Ultimately, the paper underscores the transformative potential of AI in higher education while emphasizing the need for responsible and inclusive implementation practices.

The use of technology to provide contextual information for decision-making has been a long-standing practice. The study aims to identify the antecedents influencing tourists’ use of context-aware applications. It employs the Unified Model of Electronic Government Adoption (UMEGA) and the Expectation Confirmation Model (ECM) to investigate tourists’ behaviors in the use of Personal Locator Beacons (PLBs) during the pre-adoption and post-adoption stages at the Mole National Park in Ghana. Data was analyzed using Smart PLS 3.0 software. The findings suggest that pre-adoption performance expectancy, motivational needs, and personal situation significantly affect tourists’ pre-adoption intentions to continue using context-aware applications. In addition, information recommendation, service quality, confirmation expectation, and satisfaction influenced continued use and recommendation. However, social influence and enjoyment experience did not significantly impact tourists’ behavioral intentions. The findings contribute to theory by integrating components of the two models (UMEGA & ECM) and delving into the antecedents of users’ decision-making processes.