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The aim of this review is to reflect the current state of Financial Technology (FinTech) research along with its journey of development. Further, a conceptual framework showing the interaction of independent, mediating, and moderating variables with dependent variables (acceptance of FinTech products and services) along with propositions is prepared to facilitate the future researchers. This systematic literature review consists of 110 articles from 78 journals indexed in two academic databases (Scopus and/or Web of Science), extracting facts and figures about FinTech during 2016–2021. Our findings contribute to the literature by exemplifying that FinTech is a mixed set of threats and opportunities. In the present review only 18 articles belong to 2016–2017 but 54 articles are considered from 2020–2021, the increasing number of FinTech articles in high-ranking journals indicate the speedily growing popularity of FinTech. Similarly, secondary data based articles are dominating the primary data based ones. Further, regression analysis and PLS-SEM are the most popular statistical techniques among the authors of FinTech articles. To the best of knowledge of the authors, this is a unique study in which the latest FinTech research findings are skimmed.

Digital technology and SDGs have gained increasing interest from the research community. This chapter aims to explore the field through a holistic review of 188 publications from 2017 to 2022. For the systematic review of 188 articles, a three-step methodology comprising of PRISMA guidelines was performed, bibliometric analysis and text analysis using VOS-Viewer and Sentiment Analysis using RStudio had been undertaken. Bibliographic coupling revealed the following clusters Digital Space (Over all SDG), Localising SDGs, Financial Systems and Growth (SDG 8), Sustainable Supply Chain (SDG 9), Education (SDG 4), Energy Management (SDG 7), Smart Cities (SDG 11 and 13), Gender, Skills, and Responsibility (SDG 5 and 12), Food Management (SDG 1, 2 and 3), Business Innovation (SDG 8 and 9) and ICT (SDG 9). Next, co-occurrence analysis highlighted the following clusters Circular Economy (SDG 8), Higher Education System (SDG 4), Digital health (SDG 3), Industry 4.0 (SDG 9) and Supply Chain Management (SDG 9). Next, text analysis traced the most relevant areas of work within the theme. Finally, sentiment analysis revealed positive sentiments of the field. The research concluded that only a few SDGs had found major focus while the others don't have any solid ground in the literature. This chapter presents a knowledge structure by mapping the most relevant SDGs in the context of digital technology and sets directions for future research.

The expansion of new technologies has induced the digital revolution and paved the way for an innovation-based economy. Digitalization, while blurring real and virtual environments, acts as an incentive for innovation and has been regarded as a tool to tackle the crisis. Its particular acceleration was caused by the lockdown regulations due to the COVID-19 pandemic. Social entrepreneurship searches for innovative methods, tools and models to solve pressing social problems. The concept suggests applying business models for implementing social missions. Revenue generated from commercial activities is spent to solve social challenges caused by market imperfection, government inefficiency, disasters, pandemics, wars and economic crises. Advancing technologies, on the one hand, present opportunities for social enterprises and, on the other hand, involve risks to employment, data protection, transformed business model and strategies and changes in society's lifestyle and impose costly digital technologies to be adopted. Social entrepreneurs can create social value by using digital technologies that allow them to reach remote customers, investors or beneficiaries overcoming geographical boundaries or time differences. Yet digitalization can pose a threat to existing jobs as they become redundant; it transforms them or gives rise to new jobs while demanding technological skills and digital literacy. Moreover, enhanced digitalization and effective governmental actions set the stage for the decline of social business. The chapter explores the influence of digitalization on social entrepreneurship and discusses the potential of digital transformation for social enterprises. It examines the risks and opportunities that bring accelerated digitalization to social entrepreneurship.

Independent actors operating through peer-to-peer sharing economy platforms co-create service experiences, such as shared car-rides or home-stays. Emotional labor among both parties, manifested in the mutual enactment of socially desirable behavior, is essential in ensuring that these experiences are successful. However, little is known about emotional labor practices and about how sharing economy platforms enforce emotional labor practices among independent actors, such as guests, hosts, drivers, or passengers. To address this research gap, we follow a mixed methods approach. We combine survey research among Airbnb and Uber users with content analysis of seven leading sharing economy platforms. The findings show that (1) users perform emotional labor despite not seeing is as necessarily desirable and (2) platforms actively encourage the performance of emotional labor practices even in the absence of direct formal control. Emotional labor practices are encouraged through (hard) design features such as mutual ratings, reward systems, and gamification, as well as through more subtle (soft) normative framing of desirable practices via platform and app guidelines, tips, community sites, or blogs. Taken together, these findings expand our understanding of the limitations of peer-to-peer sharing platforms, where control over the service experience and quality can only be enforced indirectly.

Critics increasingly highlight the dark sides of the sharing economy resulting from the insufficient regulation of competition, labor, or taxes in its for-profit sector. In this chapter, the authors argue that regulatory solutions for the sharing economy hinge on the understanding of the ways in which the sharing economy is organized. Here, digitalization undermines established regulation through underlying organizational shifts pertaining to places, labor inputs and output responsibilities. Mapping out the field of actors that are or could be involved in regulating the sharing economy, the authors highlight a particular role played not only by digital platforms as market organizers, but also of a variety of other public and private actors such as standard setting organizations, social movements, trade unions, organized buyers and sellers, incumbents, or policy makers. The authors suggest that an understanding of sharing economy markets as fields can not only capture the highly organized nature of the sharing economy, but also serve to untangle the contestations and power dynamics unfolding among various actors engaged in different regulatory issues associated with the sharing economy. Seeing “Uberization” as a next development stage away from the modern corporation after global supply chains, the authors highlight regulatory challenges associated with the even more individualized and dispersed way in which sharing economy markets are organized and also discuss new opportunities for regulation provided by digital technology.

The chapter sheds light on how top management teams (TMTs) across multinational firms tackle the ongoing disruptive digital transformation during the pandemic era. The chapter includes basic definitions and global and regional trends on data governance and digital transformation across multinational firms from advanced and emerging markets. Finally, it provides several case studies demonstrating the theoretical and practical applicability of how data governance and digital transformation emerged from top management team perspectives. The chapter outlines the importance of leadership and top management in dealing with emerging technologies and business processes across global firms.

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.

This chapter presents a holistic view of dynamic external macro environments and their impact on internal organizational strategies. It suggests how events, and particularly major crises at the global or national level, affect organizational responses. Specifically, the authors submit that organizations adapt their strategy in line with the pressures they face from the external environment. Consequently, the day-to-day operations inside the organization change, and managers find themselves faced with new challenges in terms of how they manage their talent. By exploring critical roles that human resource (HR) professionals can play in talent management, the authors delineate several ways in which the HR department can help organizations to react to these external pressures, supporting managers in ensuring that employee behavior and values are aligned with the new organizational strategy. The objective of this chapter is not only to reflect on the HR professionals and their role in helping to manage organizational talent, as their organizations navigate the dynamic macro context, but also to stimulate further research in this field.

The digital platform economy has wide-ranging implications for the nature of work in the twenty-first century. The ease at which suppliers and demanders of labour come together across digital platforms creates a very new kind of labour market characterized by hyper-flexibility and an ambiguous employment relationship. Platform work has been hailed as providing employment opportunities for young people entering the labour market and other groups for whom access to more traditional forms of work is compromised (e.g. women with caring responsibilities or people with chronic health issues), or simply those seeking easily accessible, flexible work (e.g. students). On the other hand, unions and grassroots activist campaigners have highlighted the poor conditions that shape the experience of platform work, such as low pay, lack of choice over working time, tight control over the labour process and a dependency on platforms that belies their self-employed status. These dimensions of decent work are examined in the context of France and the United Kingdom, two countries which represent very different employment contexts (Milner, 2015), and thus provide insights into how specific country contexts may mediate the experience of platform work and the policy response.