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Current trends in financial services are characterised by two intertwined developments. First, increasing digitalisation provides opportunities to invest or raise money through channels that have not been available with more traditional financial services. Crowd-investing and social-trading platforms act as new intermediaries. Similarly, automated advice (robo-advice) is attracting increased attention. Second, the financial crisis of 2007–2010 is associated with a considerable decline in trust in financial institutions, even more so in Iceland, which had experienced a complete collapse of its banking system. Despite the evaporation of trust in their banking system, Icelandic consumers were largely bound to use Icelandic financial institutions because capital controls were in place since the financial crisis until 2017, which limited investors’ opportunities to, for example, diversify their portfolios internationally. As financial decisions are inherently risky and since financial services have the characteristics of credence goods, those who wish to use financial services need to trust financial intermediaries or the immediate contractual partner. The purpose of this chapter is to examine the role of trust in the context of increased digitalisation, and to discuss steps to establish trust in digitalised financial services. Among other items, we discuss the information requirements accompanying financial products and financial institutions, data protection and liability in the context of emerging digitalisation. Our work holds implications for individuals, financial service providers, policy makers and supervisory authorities.

Purpose: To analyse the insurance market breakthroughs through ‘Big Data’ and the possibility of new techniques of services provided, creating access for information gathering and fraud detection. This can contribute to improved risk management processes and mitigation strategies referred to as ‘InsurTech’.

Methodology: We catalogue the technique which is especially useful and being evaluated as having the ability to bring innovations to the insurance business. In doing this, we reveal which marketplaces actively participate in start-ups and how insurers engage in them and present them, highlighting the impact of blockchain technology, ride services, robo-advice, and data analysis on the insurance industry.

Findings: Findings show that because emerging economies have fewer organisation needs to ensure the distribution model, technology and research may significantly influence such areas. Nonetheless, whether industrialised or emergent, relevant legislative inspections should be carried out to protect subscribers’ welfare.

Practical implication: Since ‘Big Data’ impacts insurers’ constant monitoring of business risks and corporate governance, an overview of how information is harnessed should be carefully studied. Moreover, it is essential to study the handling of algorithms to guarantee that the expectations are reasonable and that unforeseen effects are avoided to the greatest extent feasible, and regulators have a mechanism for engaging in this review.

In the context of increasing private provision of social security and welfare, alongside what is argued to be the ‘financialisation’ of daily lives, individuals in many countries face an array of potentially difficult financial choices and decisions. Limitations in levels of knowledge and expertise may lead them to consider seeking financial advice. Yet, in the wake of the great financial crisis, trust in the financial services industry is low.

At the same time, in a number of countries the financial advice sector is facing its own challenges. These include regulatory issues concerning the definition, suitability and delivery of advice; the affordability of advice; and the challenges and opportunities facing the advice sector as a result of the increasing use of technology in the financial services sector.

This chapter examines the implications of these developments for the regulation and governance of financial advice in the context of Markets in Financial Instruments Directive II. In particular, it considers the example of the UK and issues this raises for the implementation of recent European regulatory reforms.

Purpose: The goal of this study is to delve into the causes behind the Fintech sector’s rise in various areas and its prospects. Fintech is rapidly expanding because of government legislation, multiple schemes, consumer expectations, a cashless economy, digitisation, globalisation, innovation, and other drivers.

Need for the Study: Fintech firms are forming alliances with traditional financial organisations to stay afloat and compete. India is becoming a superpower regarding e-startups, especially unicorns. Many startups are undergoing initial public offerings (IPOs). Fintech is an emerging space in India, spreading its wings rapidly in every sector.

Methodology: This work is based on a literature review. It utilises secondary data from numerous research publications, magazines, newspapers, published reports, relevant websites, Forbes magazine articles, stories from The Economic Times, the RBI Portal, and information from StartupIndia, Assocham, and Pwc, among others, to develop a conceptual framework showing the growth drivers of Fintech.

Findings: The whole world has been affected severely due to COVID-19. Crisis always comes with some opportunity, and it is up to us how to turn the calamities into opportunities that further turn into innovation that has the power to lead the world. Fintech is that fruit that had been born normally but grew abnormally (tremendous growth) during the pandemic. Also, the roots are so deeper that they will flourish more and more. It has been found that the emergence of a cashless economy, ease of internet connectivity, etc., are the major factors that paved the way for growth for Fintech in India.

Practical Implications: This study contains the conceptual framework which can guide the stakeholders, policymakers, management teams, field experts, etc., in knowing about their area expertise and looking for improvement, if any.

Originality: There are many papers on the relationship between Fintech and financial inclusion, but this is the first study that builds the conceptual framework for the growth drivers of Fintech.

The authors analyze the expansion of Big Data and artificial intelligence technologies from the perspective of economic theory. The authors argue that these technologies can be viewed from three perspectives: (1) as an intangible asset; (2) as a search and matching technology; and (3) as a forecasting technology. These points of view shed light on how new technologies are likely to affect matching between firms and consumers, productivity growth, price discrimination, competition, inequality among firms, and inequality among workers.