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The chapter explains the Blockchain and its application in cryptocurrency and in various sectors. It gives an insight into the level of adoption of Blockchain technology globally based upon industry, country, and component. China is leading all nations worldwide, followed by the United States. The study will help to understand future research regarding its applications in different sectors of the economy. The study will also help to understand the significance and complications regarding risk and regulation. Its adoption in the logistics and supply chain is meant to achieve error-free communication and efficient tracking management.

Construction is a highly dynamic environment with numerous interacting factors that affect construction processes and decisions. Uncertainty is inherent in most aspects of construction engineering and management, and traditionally, it has been treated as a random phenomenon. However, there are many types of uncertainty that are not naturally modelled by probability theory, such as subjectivity, ambiguity and vagueness. Fuzzy logic provides an approach for handling such uncertainties. However, fuzzy logic alone has some limitations, including its inability to learn from data and its extensive reliance on expert knowledge. To address these limitations, fuzzy logic has been combined with other techniques to create fuzzy hybrid techniques, which have helped solve complex problems in construction. In this chapter, a background on fuzzy logic in the context of construction engineering and management applications is presented. The chapter provides an introduction to uncertainty in construction and illustrates how fuzzy logic can improve construction modelling and decision-making. The role of fuzzy logic in representing uncertainty is contrasted with that of probability theory. Introductory material is presented on key definitions, properties and methods of fuzzy logic, including the definition and representation of fuzzy sets and membership functions, basic operations on fuzzy sets, fuzzy relations and compositions, defuzzification methods, entropy for fuzzy sets, fuzzy numbers, methods for the specification of membership functions and fuzzy rule-based systems. Finally, a discussion on the need for fuzzy hybrid modelling in construction applications is presented, and future research directions are proposed.

In this chapter, we draw on social science theoretical and empirical literatures to discuss the factors that influence buying and using an electric vehicle (EV), as well as how adopting an EV can impact on other travel choices or broader sustainability behaviours. We provide an overview of theories of technology adoption, which expose the interplay of individual, technological, and societal factors that dictate how rapidly a technology will spread throughout society. From the empirical literature, we show that far from being a purely economic or pragmatic decision, choosing an EV is also deeply grounded in social, moral and personality factors, such as self-presentation, norms and values, and appetite for risking the novel. Furthermore, since running an EV is not the same as running an internal combustion engine vehicle (ICEV), we explore how adopters adjust their behaviour to the technology, and also how EV ownership may trigger or undermine broader shifts in lifestyle required to achieve climate change and other sustainability goals. We therefore provide a critical reflection on the drivers, barriers, and behavioural implications of choosing an EV.

The chapter studies the role of Financial Technology (FinTech) in disrupting the existing traditional banking system. It identifies FinTech’s evolution in Asia across Deposits & lending, Capital Raising, Investment Management, Market provisioning, Payments, and Insurance. This technology revolution allows us to have a banking system based on values that serve customers better, reduce risk to the society and improve returns for the shareholders. Data on unbanked population, smartphone penetration, and Internet penetration has led to retail side innovations such as Mobile Wallets, P2P Payments, and Real-time Payments in the most of Asia (except China). A total of 49% of Global Investments in FinTech are in Asia and the Chinese dragon alone accounts for 46%. India is witnessing a strong amount of FinTech deals in 2017 and it is being driven by payment and lending solutions. ASEAN FinTech industry is dominated by m-wallets and online payments; this is followed by retail investment and financial comparison. The chapter dives into the challenges Asian banks are facing because of this disruption. Now more than ever, is the important role governments and central banks of each nation play to assess the path these start-ups are headed on and this will unfold the landscape of banking in Asia a few years down the lane.

Utilising the resource dependency theory, this study investigates the impact of board interlocks (CEOs' interlocks, women board interlocks, independent board interlocks and total board interlocks) on carbon emissions performance in India.

This research applies varieties of regression methods comprising robust least squares, generalised method of moments and Heckman's regression on a final sample of 63 of India's top 200 Bombay Stock Exchange (BSE) listed companies that voluntarily participate in the Carbon Disclosure Project's (CDP) Climate Change Program and disclose their climate change data for years 2013–2020.

We provide strong evidence for a strong negative association between CEOs' interlocks and women board interlocks on carbon emissions performance. Independent and total board interlocks are not found to significantly affect carbon emissions performance.

Our sample is restricted to the proportion of the top 200 BSE firms that voluntarily submit their carbon emissions data to CDP. Also, the study's focus is India, limiting the generalisation of our findings to other emerging economies.

The study's findings provide valuable insight for regulators and corporate board of directors on the important role of CEOs and women board who interlock with other firms in steering the carbon emissions reduction. Specifically, the corporate board of directors should encourage CEOs to build more networks through outside board memberships. The regulators should revisit the Companies Act, 2013 and the Securities Exchange Board of India (SEBI) regulation to increase the number of multiple directorships of CEOs and women board of directors.

This study responds to the dearth of literature on the efficacy of board interlocks on carbon emissions performance in emerging economies.

The circular economy (CE) proposes that all materials flow in a close-looped system. Waste generated by one production stage may be useful in another. Thus, the idea of a CE is linked to the goal of zero waste (ZW) and promotes a range of sustainable economic, social and environmental benefits in each sector. When we apply this to construction waste management, waste can be managed through reducing, recycling, upcycling and reusing. However, there is an inevitable cost implication associated with this process due to the additional requirement of inventory and waste processing, and this becomes a disincentive to implementing the CE. Formal institutions, referring here to legal rules and regulations, play a critical role in motivating firms and individuals towards a CE. As different countries have different government rules and regulations, and there is limited research on their differences, we review Asia’s and Europe’s legal rules and regulations relevant to the goal of ZW and CE in the construction sector.

This chapter aims at examining financial distress issue by designing a comprehensive model to explain and predict financial distress in Egypt. This comprehensive model incorporates accounting ratios, market-based ratios and macroeconomic ratios. The sample of the existing research includes all the listed firms in two main sectors: basic resources and chemicals. Using logistic regression model, the results showed that adding market ratios and macroeconomic ratios enhances the predictability of the model and accounting information are not sufficient to explain financial distress.