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This chapter aims to present and analyse the phenomenon of ‘sharing economy’ or ‘collaborative consumption’ in relation to tourism entrepreneurship. It presents and highlights the factors contributing to the growth of sharing economy and its business models, as well as strategically analyse related opportunities, challenges, concerns and threats in the field of tourism entrepreneurship.

Literature review was conducted on conceptual issues and main aspects of sharing economy, combined with examples and case studies within the tourism business environment.

This chapter highlights the fact that tourism businesses face new developments, trends and changes in tourist consumer behaviour and travel technology. It shows that sharing economy is on the rise, already affecting all segments of tourism industry, offering significant opportunities, as well as challenges and threats.

This chapter is explorative in nature because the discussed is based on a literature review.

The sharing economy/collaborative consumption is transforming the way people access goods and services changing all elements of trip planning. This is of great significance to the tourism industry, considering the business opportunities in all segments of related businesses. It is suggested that tourism entrepreneurs – existing, new and prospective – should elaborate the suitable strategies to address the new challenges.

It analyses main issues and aspects of the sharing economy within the tourism context. This analysis contributes to an improved knowledge and understanding that are very useful to all existing and prospective tourism providers.

The issue of employment status lies at the heart of much conflict in the gig economy, with many gig economy workers effectively excluded from statutory employment protection because of it. Establishing employment status continues to be the gateway to accessing most UK statutory employment rights, a fact which makes the exclusion of casual workers from much statutory protection seem arbitrary and unjust. Employment status has been historically determined by common law conceptions of the contract of employment. This creates particular difficulties for casual workers, who have typically had to prove a requirement to perform personal service and to show that the contract was based on mutual obligations in order to be recognised as employees. The advent of the gig economy has seen the concept of employment status evolve as courts and legislators have struggled to adapt to a more flexible labour market. Likewise, gig economy employers have gone to considerable lengths to try to circumvent the legal protections available to their workers. This chapter will examine the evolving role of common law doctrine in defining employment status and the emergence of the category of ‘worker’ as an definition of employment status for those who work in the gig economy. It will analyse prominent cases involving gig economy employers (such as Uber BV v Aslam) and explore how these cases have re-defined contractual doctrine. Finally, the chapter will analyse the Taylor Review (2017) and examine the viability of a conceptual uncoupling of statutory employment protection from contractual doctrine.

The chapter introduces digital food hubs as disruptive business models in the agri-food system shifting away from the unsustainable industrialized and conventional food sector and moving toward a re-localized food and farming pattern. They are new digital business models developed to support small and mid-size farms with a value focus, forming new ways to leverage the technology as a facilitator for coopetitive organizational forms. Indeed, they respond to a competitive strategy constituted by a “value strategy” oriented to the production and distribution of “shared value.” Second, they are based on an “organizational strategy” that shifts from individual competition to “coopetition” through the development of local “strategic networks” among small size producers. Central to the development of these business models is the digital disruption that has offered the space for the creation of unconventional exchange and transaction mechanisms distinguishing them from the already existing traditional ways of work. The agri-food markets exhibit structural holes that impede small farms from connecting with local consumers. This is due to a lack of material infrastructures and organizational forms on behalf of small farms that cannot reach the consumers, as well as the concentration of power in the hands of a restricted numbers of distributors, which causes the unequal redistribution of the economic value and impedes small farms accessing the food market. The advent of the digital technology is reshaping the market relationship by allowing out centralized intermediaries and creating new bridges between producers and consumers.

With the advent of the fourth industrial revolution and the intelligent economy, this conceptual chapter explores the evolution of educational governance from one based on governing by numbers and evidence-based governance to one constituted around governance by data or data-based educational governance. With the rise of markets and networks in education, Big Data, machine data, high-dimension data, open data, and dark data have consequences for the governance of national educational systems. In doing so, it draws attention to the rise of the algorithmization and computerization of educational policy-making. The author uses the concept of “blitzscaling”, aided by the conceptual framing of assemblage theory, to suggest that we are witnessing the rise of a fragmented model of educational governance. I call this governance with a “big G” and governance with a “small g.” In short, I suggest that while globalization has led to the deterritorializing of the national state, data educational governance, an assemblage, is bringing about the reterritorialization of things as new material projects are being reconstituted.

The chapter examines the current trade war between the United States and China and its impact on the two countries’ military industrial complex in relation to economic growth and development. The trade war has both positive and negative impacts on the country’s economic growth and development. Both countries depend heavily on each other for trade and account for an incredibly significant portion of the global trade. The trade war also impacts on the military industrial complex with respect to the defense budgetary allocation and trade in arms. One of the rationales for the trade war by the Trump Administration is to boost up the domestic economy, which would benefit the military industrial complex. Likewise, the retaliatory tariffs by China are designed to protect the domestic economy and showcase its ability to withstand and challenge the United States. The military industrial complex is important to both the countries. The chapter applied a quantitative design with canonical correlation method to multiple regression, where there are multiple intercorrelated outcome variables relative to military industrial complex and the processes of economic growth and development. It shows that trade wars in the form of increased imposed tariffs on each other by the United States and China has had no significant adverse effect on the Military Industrial Complexes of the two biggest economies of the world.