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This chapter evaluates the readiness of the higher education system to contribute to the competitiveness of African countries in the knowledge economy. Using institutions of higher learning in Kenya and Uganda as case studies, the study demonstrates that the higher education system in Africa is ill-equipped to fulfill the role of knowledge production for the advancement of African economies. The chapter proposed promising ways through which higher education in the region can play a more fulfilling role to the global knowledge economy through the formation of relevant skills for the growth of African economies. In an era where knowledge assets are accorded more importance than capital and labor assets, and where the economy relies on knowledge as the key engine of economic growth, this chapter argues that higher education institutions in Africa can assist in tackling the continent’s challenges through research in knowledge creation, dissemination, and utilization for improved productivity. These institutions need to engage in design-driven innovation in the emerging knowledge economy. To enhance their contributions toward human capital development and knowledge-intensive economies in the region, it is imperative to employ public-private initiatives to bridge and address various challenges and gaps facing universities and research institutions in Africa.

This chapter examines prior studies on various types of knowledge, knowledge workers, and the knowledge economy. One must have a clear grasp of the function of knowledge workers and human capital in the knowledge economy and how the organisation should manage to gain from knowledge workers and their knowledge to prepare the organisation and economy for the knowledge economy. This chapter will go through many models, drivers, pillars, and requirements for the knowledge economy. The chapter will then finish with the essential aspects of the knowledge economy.

The knowledge economy (KE) which provide for an alternative to production-based economy and brick and mortar economy has a tremendous opportunity. KE has emerged due to the advent of skill concentration in nation states. However, the traditional production economy provides individual arbitrage opportunity which acts as a sideline for growth of the economy. In the modern economy, the higher the ability to create an edge for price for the knowledge, the greater will be the ability of the nation state to create and arbitrage process. Any economy which is driven by an innovative education system, appreciates, and adopts knowledge is the one which becomes successful in the knowledge process and a developed KE. Information technology forms a major component of knowledge process but is not the entire gamete of knowledge. Hence, it should not be confused that KEs are information industry driven alone. This paper tries to develop a model to check whether KE has the ability to support arbitrage process. Here the probability rate of growth in GDP is taken as the key element for the purpose of solving the theoretical proposition. The result shows that there are positive probabilities of the KE in providing arbitrage premium for individual which can fire the growth of the economy.

In the previous chapters, we discussed the gig economy, knowledge economy, and its characteristics of each. The concept of knowledge workers is discussed in detail and their role in the knowledge economy and in creating knowledge. This chapter will explain how the knowledge economy and gig economy are connected and how the concept of knowledge workers and professional gig workers are connected. We will differentiate skilled gig workers from low-skilled workers and their role in economic development and productivity. Furthermore, we will explain their involvement in the organisation and how they can manage them and utilise their knowledge to increase productivity. The end of this chapter will discuss the platform economy concept and explain the platform economy's aspects in detail. This chapter emphasises how working globally is facilitated by digital transformation and IT infrastructure and how managing the professional workforce will create the opportunity to connect to a variety of job demands, particularly from developed countries.

This chapter presents a theoretical and evidence-based investigation of the contribution that national educational systems make to the development of and transition to a knowledge economy in the Arabian Gulf, generally, and Saudi Arabia, specifically. The challenges to creating an Arabian Gulf knowledge economy are twofold. One is a functional and structural challenge of developing a knowledge economy-oriented mass education system. The other is a cultural and contextual challenge of aligning Arabian Gulf expectations, traditions, and norms with institutionalized expectations for knowledge economies. The knowledge economy development challenge that is specific to national versus non-national Gulf populations, information and communication technology (ICT), and formal mass education systems is highlighted. The chapter concludes with a discussion of the role that national innovation systems play in knowledge economy development in the Arabian Gulf countries.

Education and human capital development are seen by the government of Saudi Arabia as vital to the aim of gaining knowledge economy status. Although financial investment has been evident in education and human capital development in Saudi Arabia for many years, knowledge acquisition, production, and diffusion remain problematic. The strategy that underpins the shift to a knowledge economy is based on the assumption drawn from human capital theory that education can transform individual productivity and therefore promote economic development. However, the links between education and economic growth are not as linear as this framing of education suggests, but depend on complex social processes. Within these processes, individual understandings of knowledge and knowledge creation are crucial. The implications of this for Saudi Arabia are discussed with reference to the work of Knorr Cetina (2007) on knowledge cultures and David and Foray (2002) on knowledge communities. A transition to a knowledge economy is more likely to occur when cultural and social conditions enable the development of knowledge cultures and knowledge communities.