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One of the concepts most commonly evoked in order to characterize and explain the zig-zag trajectory of political dynamics in the Islamic Republic of Iran has been the “middle class.” Yet there is no scholarly consensus on a fundamental approach to identification and measurement of the middle class. Rather, the category of the middle class is both a category of analysis – long debated within social theory – as well as a category of practice – routinely deployed in political behavior and social distinction. In order to better conceptualize and understand the formation and role of Iran's middle classes in the country's sociopolitical dynamics, theories of class formation in the global South should be rearticulated away from a reified notion of the middle class as a transhistorical subject. To do so, this chapter is divided into four sections. First, internal debates over the role of Iran's middle classes in the country's recent political history are assessed and data from the 2016 Iran Social Survey is used to test a long-standing demographic assumption on the class dynamics of electoral behavior. Second, the tradition of theorizing the social power of middle classes is reassessed, drawing on the growing scholarly attention to the heterogenous origins and differentiated internal composition of middle classes across the global South. Third, a typology is proposed of four middle classes across the twentieth century shaped by varying state attempts at “catch-up” development. These types are then applied in a revisionist telling of the making and unmaking of middle classes in postrevolutionary Iran. Finally, implications of this framework beyond Iran are sketched out for global waves of protest in the twenty-first century.

Multinational enterprises (MNEs) are increasingly seeking to demonstrate their commitment to sustainability and inclusiveness within the societies they operate in, often by highlighting the amount of tax they pay. The author proposes to summarize channels through which tax impacts the achievement of sustainable development goals (SDGs) and analyze them in relation to a single goal, SDG 10 (reduced inequalities) in a single region (the Central and Eastern Europe, CEE). The impact of tax is often ambivalent, but above all it is hard to quantify as there are many stakeholders involved and corporations still tend to disguise their internal information. The author analyzes MNEs’ operations in the CEE region to better understand how reporting standards influence the achievement of SDG 10, focusing on country-by-country reporting (CbCR) and non-financial reporting of European banks and other corporations who publish CbCR on a voluntary basis. The authors perform a quantitative analysis of CbCR data and a qualitative investigation of 201 non-financial reports by 30 MNEs. From the theoretical viewpoint, this research may help to construct a framework to evaluate the tax impact of a given company. Given that, this chapter also outlines why and how it can be beneficial for MNEs to publish voluntary reports it can also serve to motivate increased voluntary participation of MNEs in the transition to sustainability.

This study aims to identify blockchain-related innovation trends that can improve trust networks in a smart city's transport and supply chain networks. Trust networks are crucial in building and maintaining the trust of citizens in smart cities. By promoting transparency and accountability, facilitating collaboration and innovation, enhancing citizen participation and protecting privacy and security, trust networks can help to ensure that smart cities are developed and implemented in a responsible and sustainable way. A systematic literature review identifies 60 conceptual and empirical studies. This research focuses on the current problems and developing procurement and supply chain strategy and the potential benefits of using blockchain in these areas. It suggests ways for the smart city's transport and supply chain networks to utilise blockchain to improve operations and supply chain strategy and identifies innovation trends related to blockchain. The study also includes a systematic literature review and Blockchain Transformation and Influence model as the basis to enhance trust networks in the supply chain.