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This study aims to explore the user’s perception and satisfaction level toward LUKU m-government service in Tanzania. Moreover, it specifically compares the perception and satisfaction levels between the users of m-payments and the users of physical payments.

The study used a quantitative research method, where it collected data from 200 respondents in Tanzania. Demographic characteristics, perceptions and levels of satisfaction with one of the mobile-government services (LUKU) were analysed. Multiple linear regression and binary logistic regression analyses were used to test the demographic factors, payment method, perceptions and levels of satisfaction.

Mobile payment users of LUKU m-government service in Tanzania had significantly higher scores of trust, security and overall perception and were significantly more satisfied than users of physical payments. Ease of use, convenience, reliability and overall satisfaction emerged as key predictors of both user perceptions and satisfaction.

This study's exclusive focus on the LUKU m-government service limits the generalisability of findings to other m-government contexts.

The study presents evidence that mobile payments are important for foster utilisation of m-government services, and that user satisfaction is crucial in strengthening both trust and security perceptions.

The emergency of the COVID-19 pandemic has affected organizations differently, leading to adopting alternative business operation models, including digital technologies. The rapid adoption of digital technologies during the COVID-19 pandemic demonstrates how adaptive technologies intersect with human and social institutions in potentially risky or inequitable ways. However, the sustenance of the digital transformations (DTs) induced by the COVID-19 crisis is still unclear. Thus, this study aims to evaluate the sustenance of DTs accelerated by the emergence of the COVID-19 pandemic response in the Tanzanian context amid the crisis.

The study used a qualitative approach that included a literature review and semi-structured interviews with Information and Communication Technology (ICT) personnel from selected public institutions in Tanzania. The interviews elicited interviewees’ perspectives on the following: the digital revolution that occurred during the COVID-19 outbreak; how it affects their work; and the country’s future digital landscape. Additionally, a literature analysis established and generalized the practices used by the governments during the COVID-19 crisis.

The results show that there is enormous, colossal press toward adopting digital solutions. The use of digital technologies, such as digital payments, e-commerce, telemedicine and online education, has attracted the attention of businesses and individuals in Tanzania. Consequently, the move has enabled the country to cope with the cascading impacts of the COVID-19 pandemic and progressive economic recovery to achieve its development goals. Furthermore, the findings offer policy strategies for taking the induced DTs to the next level and sustaining it.

This study reports the lessons from the DTs induced by COVID-19 and their sustenance. It also contributes toward forward-thinking reforms and policy measures that could help Tanzania and the likes harness the DTs'’ potential in the wake of the pandemic.

With the development of information technology (IT), governments around the globe are using state-of-the-art IT interfaces to implement the so-called 3E’s in public service delivery, that is, economy, efficiency and effectiveness. Two of these IT interfaces relate to Artificial Intelligence (AI) and Internet of Things (IoT). While AI focuses on providing a “human” garb for computing devices, thereby making them “intelligent” devices, IoT relies on interfaces between sensors and the environment to make “intelligent” decisions. Recently, the convergence of AI and IoT – also referred to as Artificial Intelligence of Things (AIoT) – is seen as a real opportunity to refurbish the public service delivery formats. However, there is limited understanding as to how AIoT could contribute to the improvisation of public service delivery. This study aims to create a modular framework for AIoT in addition to highlighting the drivers and barriers for its integration in the public sector.

This descriptive-explanatory study takes a qualitative approach. It entails a thorough examination of the drivers and barriers of integrating AI and IoT in the public sector. A review of literature has led to the development of a conceptual framework outlining the various factors that contribute to creating public value.

Value creation occurs when AI and IoT coalesce in the public service delivery mechanisms.

AIoT is a cutting-edge technology revolutionizing health care, agriculture, infrastructure and all other industrial domains. This study adds to the growing body of knowledge on the public sector's use of AI and IoT. Understanding these disruptive technologies is critical to formulating policies and regulations that can maximize the potential benefits for the public-sector organizations.

The purpose of this paper is to highlight the drivers, barriers, benefits and risks affecting the integration of Internet of Things (IoT) into the e-government and to provide a future research agenda.

Existing literature examining the relationships between e-government and IoT is scanned and evaluated by conceptualizing the IoT concept in the e-government perspective.

The study shows that there are drivers to integrate IoT in e-government, such as ensuring the economy, efficiency and effectiveness of government operations, which would largely establish a relationship between the government and the citizens. Furthermore, there are barriers to such integration, given the lack of political will, the appropriate information technology infrastructure, the training of the stakeholders with a focus on the employee and the like.

The integration of IoT in e-government is a novel and weakly explored concept, particularly in the light of new advances such as blockchain in the e-government, which requires further exploration and conceptualization, thereby achieving a shared/common vision and body of knowledge for its further successful and sustainable adoption – to the best of the authors’ knowledge, the current study is one of these initial attempts.

This paper proposes a framework that aligns e-government initiatives with the Sustainable Development Goals (SDGs).

The study integrates a systematic literature review with case study analysis. The literature review involved an extensive search across multiple scholarly databases to identify relevant studies. Case studies were sourced used a number of criteria with a scoring rubric for selection and evaluation. The analysis of extracted themes and patterns from both the literature and case studies informed the development of the proposed e-government framework and illustrated the causal relationships among its components.

The framework serves as a roadmap for achieving sustainable development through e-government initiatives. It emphasizes critical themes, including inclusiveness, transparency, accountability, sustainability, partnerships and collaboration and innovation and digital transformation.

Although efforts were made to include diverse case studies, some regions may be underrepresented, which could affect the generalizability of the framework across all global contexts.

This study provides a holistic approach, considering technological, social, economic and environmental factors, highlighting the importance of partnerships and collaborations in achieving sustainable development.

This study aims to establish a comprehensive framework for adopting mobile-based artificial intelligence (AI) services in Tanzanian manufacturing small and medium enterprises (SMEs).

The methodology involved conducting a literature review and using the combination of Mobile Services Acceptance Model and Innovation Diffusion Theory (IDT) as a theoretical foundation. This synthesis delves into the current knowledge on technology adoption, organizational behavior and innovation diffusion, creating a solid conceptual basis. Expert review was used for framework validation to ensure the framework's accuracy.

This study shows that the factors influencing the adoption of mobile-based AI services in Tanzanian manufacturing SMEs include perceived usefulness, perceived ease of use, context, personal initiatives and characteristics, trust, infrastructure, cost, mobility, power distance, compatibility, observability and trialability.

The framework provides valuable insights tailored to Tanzanian sociocultural and economic nuances. However, its generalizability is limited due to its specificity to Tanzanian manufacturing SMEs.

The framework outlined in this research provides SME leaders, policymakers and technology implementers with valuable guidance to make informed decisions during the adoption process.

This study introduces a novel lens for understanding technology adoption. This study's focus on the Tanzanian context and its nuanced examination of contributing factors add to its originality and practical significance.

The purpose of this study is to examine the applicability of the technology acceptance model (TAM) in libraries considering the advanced technologies and users’ behaviour.

The research uses a critical reflective approach to review and synthesize a body of recent academic literature on the use of TAM in libraries. The review included assessing TAM’s historical evolution, its limitations and how it could be improved.

The findings indicated that, although TAM can be viewed as an appropriate theoretical model to explain the users’ intention towards technology acceptance, it is limited in explaining both the users’ attitude towards advanced technology and their behaviour in advanced library settings.

To enhance the practicality of TAM in libraries, several recommendations for strategic advancements have been proposed such as contextualizing TAM to libraries, exploring AI-driven adoption, integrating library-specific constructs, understanding cultural differences and using holistic research approaches.

The findings contribute to a deeper understanding of technology adoption in libraries and to the future possibilities of TAM.

Protection of personal data is integral to the digital economy, ensuring trust and privacy as its foundational elements. The purpose of this study is to analyze data protection laws in Tanzania, Kenya, Uganda and Rwanda to understand their legal frameworks and identify challenges hindering their effective implementation.

This study uses a comparative exploratory case study approach, analyzing legal frameworks of four East African (EA) countries through examination of legal documents, official reports and academic articles. The dimensions of analysis include registration, supervisory authority, data subject rights and cross-border data transfer regulations.

While all four EA countries are in the process of enacting data protection acts, they differ in scope, provisions and enforcement; more needs to be done to ensure mature data protection in these countries. The commonalities and distinctions in the legal frameworks are underscored, providing a mapping of data protection regulations in the EA region. Moreover, this study reports implementation constraints and areas for improvement.

The findings of this study provide valuable insights for policymakers, highlighting areas where data protection regulations can be improved. The results of this study can guide harmonizing regional data protection laws, ensuring consistent and effective enforcement. This study offers a foundation for future policy development and regional cooperation on data protection issues.

The social implications of this research lie in its potential to shape public attitudes on data protection and privacy rights. By highlighting these concerns, this study may influence societal norms and values, encouraging a more informed and conscientious public discourse on inclusive policies that consider the diverse needs of different regional populations.

This study provides a pioneering comparative analysis of data protection regulations across four EA countries, offering unique insights into the regional variations and commonalities in legal frameworks. Its value lies in informing future policy development, enhancing regional cooperation and contributing to the harmonization of data protection practices in the selected EA countries, which remains an under-explored area in existing literature.

The objective of this research is to examine the accelerated adoption mechanisms of emerging technologies in information systems. Its goal is to comprehend the drivers behind the prompt assimilation of technology trends such as TikTok, ChatGPT, mobile payment schemes, cryptocurrency and VR.

The study follows the systematic literature review methodology (using the PRISMA protocol to guide the selection of scholarly materials from Google Scholar, Scopus and Springer). Specifically, the research draws on identified literature on the adoption trajectories of technologies (ChatGPT, TikTok, cryptocurrency, mobile payment systems, and virtual reality) to systematically assess pertinent insights, and draws on theoretical lenses of Disruptive Innovation Theory to reach interpretations.

The study indicates that the prompt assimilation of technology is shaped by several variables such as user-centered design, network effects, content powered through algorithms, viral trends, ease-of-use and accessibility features, engagement levels and retention rates.

The selection of specific platforms may limit the generalizability of findings.

The emergence of new technologies is causing a shift in societal behaviors and norms, which has significant social implications. While platforms such as TikTok offer opportunities for community-building, there are concerns regarding digital divide and privacy issues that need to be addressed. So understanding the impact of these changes becomes vital for achieving fairness in access and making technology's potential transformation practicalized effectively.

This research enhances the current body of literature by presenting a thorough examination of the non-linear patterns involved in adopting advanced technologies. By combining knowledge from numerous fields, this study delivers an integrated comprehension regarding what factors prompt swift adoption.