The proliferation of mobile technologies and mobile phones has presented an opportunity for Government in the developing countries to utilize Mobile Information and Communication Technologies (M-ICT) to help facilitate daily administration and to provide better services to citizens, businesses, and government agencies through using mobile technology. This research reviews the success, failures and factors influencing m-Government development and implementation in developing countries. The characteristic challenges that developing countries face, which make m-Government implementation in developing countries fail to succeed are identified and integrated. The paper also presents results of literature review of case studies from both developed and developing countries and preliminary studies grounded in the South Africa m-Government reality. The key factors are identified, integrated and characterised under common broad categories. These results were given in a rich picture of m-Government implementation experience that helps to identify possible solutions. A descriptive framework for categorising key factors in m-Government implementation in developing countries illustrated with suggestions from the literature is proposed. The input variables are characterised into factors for success (drivers and enablers), and factors for failure (barriers and inhibitors). The output variables are categorized into organisational and technological benefits. Finally, an action plan for success is proposed. This action contains suggestions for increasing the impact of factors for success while reducing the impact of factors for failure.

Mobile technology has played a crucial role in facilitating democratic change in many of the developing countries. Many countries have attempted to implement Mobile Government (m-government), which is a form of electronic government, using mobile and other latest technologies such as social media as the most fundamental infrastructure for implementing such changes. However, m-government projects' scalability and sustainability are amongst the key issues relating to the use of Information and Communication Technologies (ICT). This chapter attempts to discuss the scalability and sustainability of m-government projects in the context of developing countries. The aim is to provide a broader understanding of the inherent issues surrounding scalability and sustainability of m-government projects: in general terms and also in relation to mobile phone-based projects for governments' service delivery. In order to understand these issues, definitions of these two concepts are provided and various e-government maturity models are discussed. This is then followed by an overview of the challenges of scaling up and sustaining the m-government projects in developing countries, and lastly, an elaboration of how sustainability and scalability can be achieved is also presented.

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The economy of the Modern Work Platform is becoming increasingly relevant due to the spread of information and communication technology. As a result, digital work has gained popularity as a source of employment, especially in an economy where finding decent work is becoming increasingly difficult. Computer algorithms are now being used to alter and change the way people operate in increasing job specialization, handling large-scale human labour in a distributed manner. In these structures, human works are delegated, supplemented, and analyzed using tracked data and algorithms. Building on emerging algorithmic literature and qualitative examination, this article assesses the mechanisms by which the digital network manages staff in the sense of Uber, Bolt (formerly Taxify). It describes the difference in the degree to which such platforms limit freedoms over schedules and activities relevant to gig work. Based on in-depth interviews with 41 respondents working on different digital media and a survey of 105 staff on the same platform, the study finds that while all digital work platforms use algorithm management to delegate and assess work, substantial cross-platform variation. Uber, the largest network for ride-sharing, exercises a type of control called “algorithmic despotism” that controls the time and activities of staff more strictly than other network distribution firms. We end with a debate on the implications for the future of work of the spectrum of algorithmic power. It also addresses how algorithmic management and data-driven systems can be developed to build an improved workplace with intelligent machines, with implications for future work.

Mobile technology has played a crucial role in facilitating democratic change in many of the developing countries. Many countries have attempted to implement Mobile Government (m-government), which is a form of electronic government, using mobile and other latest technologies such as social media as the most fundamental infrastructure for implementing such changes. However, m-government projects' scalability and sustainability are amongst the key issues relating to the use of Information and Communication Technologies (ICT). This chapter attempts to discuss the scalability and sustainability of m-government projects in the context of developing countries. The aim is to provide a broader understanding of the inherent issues surrounding scalability and sustainability of m-government projects: in general terms and also in relation to mobile phone-based projects for governments' service delivery. In order to understand these issues, definitions of these two concepts are provided and various e-government maturity models are discussed. This is then followed by an overview of the challenges of scaling up and sustaining the m-government projects in developing countries, and lastly, an elaboration of how sustainability and scalability can be achieved is also presented.