For the past decade, 3D printing (3DP) has become popular due to availability of low-cost 3D printers such as RepRap and Fab@Home; and better software, which offers a broad range of manufacturing platform that enables users to create customizable products. 3DP offers everybody with the power to convert a digital design into a three dimensional physical object. While the application of 3DP in developing countries is still at an early stage, the technology application promises vast solutions to existing problems. This paper presents a critical review of the current state of art of 3DP with a particular focus on developing countries. Moreover, it discusses the challenges, opportunities and future insights of 3DP in developing countries. This paper will serve as a basis for discussion and further research on this area.Comment: 4 pages, International Journal of Computer Applications Volume 104-Number 11, 201

The advancement of wireless and mobile technologies has given rise to the mobile government (m‐Government). A new channel of public service delivery using a mobile phone. In Tanzania, several m‐Government initiatives have been undertaken. Among these, some can be said to have succeeded while others are still struggling. The reasons for these variations are not known. This study aimed to capture the critical success factors (CSFs) for the adoption of m‐Government and propose a framework under the Tanzanian context. The study builds upon an extensive literature review methodology based on six electronic databases from 2003 to 2017. The results show that security, usability, access, cost, infrastructure, and personal initiatives and characteristics have the strongest effect on the adoption of m‐Government services. Based on the findings of the critical review, a conceptual framework is proposed by extending the mobile services acceptance model (MSAM). A further finding is that most of the m‐Government adoption research have not considered the environmental setting. Hence, this study calls for more research on m‐Government adoption with consideration to the environmental setting (mandatory or optional environment). The study culminates by providing both practical, theoretical, and policy implications of the findings.

Purpose: This paper proposes a framework that aligns e-government initiatives with the Sustainable Development Goals (SDGs).Design/methodology/approach: 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.Findings: 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.Research limitations/implications: 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.Originality/value: This study provides a holistic approach, considering technological, social, economic and environmental factors, highlighting the importance of partnerships and collaborations in achieving sustainable development.

Purpose: This study aims to establish a comprehensive framework for adopting mobile-based artificial intelligence (AI) services in Tanzanian manufacturing small and medium enterprises (SMEs). Design/methodology/approach: 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. Findings: 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. Research limitations/implications: 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. Practical implications: The framework outlined in this research provides SME leaders, policymakers and technology implementers with valuable guidance to make informed decisions during the adoption process. Originality/value: 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.

Artificial intelligence (AI) is transforming the healthcare system at a breakneck pace by improving digital healthcare services, research, and performance, fueled by the combination of big data and strong machine learning algorithms. As a result, AI applications are being employed in digital healthcare domains of which some where previously regarded as only done by human expertise. However, despite AI's benefits in digital healthcare services, issues and ethical concerns need to be addressed. Using mapping review methodology, a taxonomy of issues and ethical concerns surrounding the employment of AI in healthcare is presented and discussed. Moreover, policy recommendations and future research directions are presented.

Purpose: 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.Design/methodology/approach: 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.Findings: 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.Research limitations/implications: The selection of specific platforms may limit the generalizability of findings.Social implications: 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.Originality/value: 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.