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This chapter first examines how the confluence of the three forces discussed in the previous chapter is affecting demand and supply dynamics and giving rise to new business models that could form the core of the emerging digital financial landscape. This chapter then examines the challenges that arise from these new business models as well as from digitalization of financial services in general. The next chapter will review how these challenges might affect monetary and financial stability and the strategy that central banks might use to address them.

This chapter discusses the contributions and challenges involving regulatory technology (regtech) in financial services. It explores the salient areas where regtech can and should focus, observing existing and forthcoming industry, technology, and legal developments. This chapter outlines regtech use cases to clarify the shaping of that industry sector. It draws on developments in industry and academia, where significant research sets the tone and direction of technological solutions and regulatory drivers. A brief critical account of the benefits and challenges in regtech is offered. This chapter presents potential future directions, focusing on the salient areas of environmental, social, and governance (ESG), cryptocurrency, and decentralized compliance.

Introduction: The circular economy is observed as a good sustainability practice that has gained importance recently. The effects of this practice specific to the financial industry are examined in the context of green accounting, finance, and sustainability reporting standards and needs.

Purpose: This chapter aims to analyse the impact of the circular economy on the finance industry based on three research questions: (1) What benefits and challenges does the circular economy bring to the financial industry? (2) What should be the financial industry’s strategic roadmap and business model for transitioning from a linear economy to a circular economy? (3) What are the differentiating aspects of ecosystem accounting and environmental accounting in its structure and use in the financial industry?

Methodology: The method of our work is based on a ‘strategic road map for circular economy’ implementation and a ‘sustainability business model framework’ relevant to the finance industry. Thus, we systematically present the ‘value generation process’ considering the industry trends and dynamics and regulatory challenges regarding ‘green business model’ management with a strategic approach.

Findings: To coordinate the transition to a circular economy based on systematic knowledge about the state of ecosystems and their interactions with society, it is necessary to design monitoring, accounting and reporting systems that adapt to the new business operating environment. This chapter provides recommendations from the perspective of the financial sector.

For over a decade, fintech has challenged traditional business models and processes in the financial services industry. The ongoing disruption has necessitated the digital transformation of financial institutions (FIs) to remain an integral part of the financial system. This paradigm shift is not merely a technological update. Still, it signifies a cultural and operational rebirth, compelling FIs to embrace innovation, adaptability, and a customer-centric approach in the digital era. Independent of the business model, FIs must become digitally ambidextrous, offer tailored and dynamic customer experiences, support financial inclusion, and promote an environmental, social, and governance (ESG) agenda while leveraging data and remaining compliant. From digitalization to fintegration, the financial services industry's future is deemed to be an exciting and productive one.

This chapter uses data from the Scopus database to present a comprehensive bibliometric analysis of fintech research, focusing on publication trends, citation patterns, and thematic clusters within the field. The analysis reveals notable trends, including influential publications, prolific authors, and their affiliations. It identifies and explores publications categorized into 23 distinct themes, representing key areas of inquiry in fintech, such as technological advancements, financial inclusion, innovation, data analytics, sustainability, and regulatory compliance. The study also identifies research gaps, indicating areas within fintech that have received limited scholarly attention. These findings provide valuable insights for researchers, policymakers, and industry practitioners. Researchers can better understand the fintech landscape, identify research gaps, and guide future inquiries. Policymakers can develop effective regulations and policies based on identified trends and challenges. Industry practitioners can leverage fintech developments to enhance their strategies and operations.

Economic evaluations often utilise individual-patient data (IPD) to calculate probabilities of events based on observed proportions. However, this approach is limited when interest is in the likelihood of extreme biomarker values that vary by observable characteristics such as blood glucose in gestational diabetes mellitus (GDM). Here, instead of directly calculating probabilities using the IPD, we utilised flexible parametric models that estimate the full conditional distribution, capturing the non-normal characteristics of biomarkers and enabling the derivation of tail probabilities for specific populations. In the case study, we used data from the Born in Bradford study (N = 10,353) to model two non-normally distributed GDM biomarkers (2-hours post-load and fasting glucose). First, we applied fully parametric maximum likelihood to estimate alternative flexible models and information criteria for model selection. We then integrated the chosen distributions in a probabilistic decision model that estimates the cost-effective diagnostic thresholds and the expected costs and quality-adjusted life years (QALYs) of the alternative strategies (‘Testing and Treating’, ‘Treat all’, ‘Do Nothing’). The model adopts the ‘payer’ perspective and expresses results in net monetary benefits (NMB). The log-logistic and Singh-Maddala distributions offered the optimal fit for the 2-hours post-load and fasting glucose biomarkers, respectively. At £13,000 per QALY, maximum NMB with ‘Test and Treat’ (−£330) was achieved for a diagnostic threshold of fasting glucose >6.6 mmol/L, 2-hours post-load glucose >9 mmol/L, identifying 2.9% of women as GDM positive. The case study demonstrated that fully parametric approaches can be implemented in healthcare modelling when interest lies in extreme biomarker values.

Common challenges for healthcare systems worldwide are population ageing, rising therapy spending and reduced economic resources. In response, AI can play a crucial role in facilitating managerial and economic objectives within a holistic vision of care and improve the experience of patients and professionals. AI may change the delivery of services and the demand for them as well. This raises questions of how to balance the supply and demand sides of healthcare services, how to leverage competitive positioning and how to differentiate strategies specific to the public and to the private sector.

Introduction: ‘Ecotourism’ refers to tourism that promotes and preserves a site’s eco-heritage to make tourists aware of the cultural past and protect the environment at the same time. The elementary impression behind ecotourism is that it signifies an appealing alternative to the mass tourism paradigm, significantly altering the natural and social circumstances of tourist destinations worldwide.

Purpose: To study the various factors responsible for the prospects and development of ecotourism, including marketing strategies, which necessitates and deliberates for society’s well-being and the safeguarding of the landscape.

Need for the study: This research provides perceptions into the economic, environmental, and social factors and the marketing tools that influence the sustainable development of ecotourism and to address the historical neglect or minimal consideration of environmental impacts associated with tourism practices.

Methodology: The study involved quantitative analysis gathering primary data from 100 respondents and inclusion of secondary data sourced from journals and articles. The collected data underwent testing and analysis, employing descriptive statistical analysis, analysis of variance (ANOVA), correlation analysis, and structural equation modelling (SEM). These analyses successfully established relationships among the variables under investigation.

Findings: The study recommends a futuristic plan to boost the sustainable growth of ecotourism on the basis of the findings of the study.

Practical implication: The research underscores the pivotal role of local community engagement, education, enhanced visitor experiences, and strategic promotion facilitated by eco-smart technologies in fostering the sustainable growth of ecotourism destinations.

For many Indians who played cricket in their backyards or whatever little spaces they had in their locality, the red Stumper ball became their ticket to the local version of the game. This form of cricket involved self-created rules, tailored to the available space or the mood of neighbours who may or may not return the ball if it were to land on their field. This photo essay follows the journey of ‘Mahanadu XI’, a group of young men, mostly from subaltern communities, who play cricket on the banks of the Krishna River in Vijayawada. The photographer, driven by his teenage memories as a cricket enthusiast who religiously followed test matches and one-day games on TV, captures their story through a series of interactions spanning three months from April to June 2023.

Purpose: This chapter examines the effect of green banking practices (GBPs) on environmental performance (EP), specifically focussing on the Sri Lankan banking industry. Additionally, the study explores the mediating impact of green finance in the association between GBPs and the EP of banks listed in the Colombo Stock Exchange in Sri Lanka.

Methodology: The survey included 233 banking employees from Sri Lanka, and data for this study were collected via questionnaires. The formulated hypotheses were tested employing a regression analysis.

Findings: GBPs such as employee, customer, operation, and policy-related practices significantly predicted the banks’ EP. Furthermore, the study highlights that green finance partially mediates the relationship between GBPs and banks’ EP in Sri Lanka.

Implications of the study: The study’s results indicate that banks should prioritise integrating GBPs in their organisations to enhance environmental and overall performance. Moreover, strategically utilising green financing techniques might be a substantial channel for banks to further strengthen their ecological dedication and influence.

Originality: This is the first study to investigate the impact of GBPs on banks’ EP with the mediating effect of green finance in the Sri Lankan context.