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The purpose of this study to brought new dimensions by inserting market conditions and investor sentiments as independent variable measure their impact on government policy formulation and sustainable development. This research also measures the moderating effective stakeholder engagement. Previous research has focused on demystifying the relationship between green bonds and sustainable development.

The analysis part of the research is initiated by factor analysis on the sample size of 100. After the construction of appropriate statements matching the research objective, it was circulated to the respondents of northern region of India. The sampling technique was random in nature through which data analysis on 700 respondents was done. For meeting research objectives present research applies PLS algorithm on the conceptual model framed through review of literature.

Out of all independent variables green bond issuance is having statistically significant impact on government policy formulation and investors’ sentiment is having statistically significant impact on sustainable development. Rest all other pairs are statistically insignificant. For an investor, it is necessary to understand that how its sentiments impacts government policy formulation and the health of ecology.

The research produced results with management implications for practitioners and policy makers that are very significant to the fields of sustainability, green finance and environmental policy. Green bonds also influence government policy, illustrating how green financing may revolutionize environmental laws and regulations.

The social implications of this revelation are considerable. The research enhances knowledge about sustainable development by emphasizing the importance of green bonds in supporting environmentally friendly activities. It allows for transparent reporting, increasing social accountability and reputation while attracting environmentally conscious consumers and fostering community trust. According to the survey, investor sentiment and their enthusiasm for eco-friendly investments may push more money to efforts that are good for society and the environment. This study enhances consciousness about sustainable finance, which has the potential to inspire beneficial social shifts towards a more environmentally and socially equitable future.

These social ramifications manifest themselves in various socioeconomic and environmental issues of the society in addition to credit and public policy. Second, it is evident that green bond emissions are influencing government policy, demonstrating the power of financial instruments to encourage environmentally beneficial social outcomes by providing officials with an incentive to modify environmental regulations.

Purpose: There has been a growing debate on whether generative AI can serve as the modern-day equivalent of white-collar knowledge workers. In a recent post, technology magnate Bill Gates boldly proclaimed that ChatGPT would soon become the quintessential white-collar worker of tomorrow (Dean, 2023). This is indeed an exciting prospect, as generative AI advances at breakneck speed.

Need for the Study: This research delves upon the implications of such advancements for industries reliant on skilled employees. It raises questions about how these individuals will adjust their skillset going forward, given the proliferation of generative AI solutions poised to disrupt traditional roles previously occupied by humans.

Methodology: The study uses an exploratory framework to understand AI’s implications on job roles, productivity, and skill requirements. It introduces generative AI and its relevance, focusing on how it could transform white-collar jobs.

Findings: One thing seems clear: its impact on future employment opportunities. However, this technology still has limitations, potentially leading to unintended consequences. While capable of performing certain functions precisely and accurately, it cannot fully replace the reasoning abilities or cognitive flexibility innate in human workers tasked with knowledge-based work.

Practical Implications: The potential implications for workforce development, policy-making, and future research in AI and labor economics are highlighted. This will also help gain insights into the integration process, benefits, challenges, and the changing nature of white-collar work due to generative AI.

Purpose: This chapter uses the annual time series data to investigate how currency depreciation impacts inflation in Sri Lanka.

Design/methodology/approach: We utilized the autoregressive distributed lag (ARDL) test to evaluate the long-term correlation between the variables. Additionally, the Granger causality test was used to examine the short-term relationships.

Findings: The ARDL test findings indicate an elevated relationship between currency depreciation and long-term inflation in Sri Lanka. The coefficient value of the error correction term indicates that 1.19% of the discrepancy error is rectified each year, directing the inflation response variable toward the long-term equilibrium.

Policy Implication: The Central Bank of Sri Lanka (CBSL) should adopt a policy to tighten and lessen currency pressure and fend off inflationary pressure. To design appropriate policies, they must quantify the country’s exchange rate (ER) pass-through to inflation. The pass-through to inflation is most prominent when monetary policy action triggers or amplifies currency movements. However, this pass-through to inflation can be kept smaller provided central banks follow a credible inflation-targeting framework, operate in a flexible ER period, and are accessible from influences from fiscal authorities in the country.

Originality/value: This study uses the recently established ARDL limits cointegration approaches to investigate the enduring association between currency devaluation and price stability in Sri Lanka.

Purpose: The study aims to explore the profound impact of virtual currencies and decentralised finance (DeFi) protocols on financial dynamics, user engagement, and operational aspects within the Metaverse.

Methodology: This research employs mathematical modelling and quantitative analysis to comprehensively investigate the pivotal roles of these elements within the dynamic virtual environment.

Findings: The mathematical equations applied in our study have illuminated the intricate mechanics of financial expansion, operational efficiencies, and user dynamics in the Metaverse’s virtual currency and DeFi systems. These insights underline the transformative influence of these digital ecosystems on future economies, emphasising the critical role of quantitative analysis in navigating and maximising their potential.

Significance: This research aims to shed light on the pivotal roles of virtual currencies and DeFi protocols through mathematical modelling and quantitative analysis. It contributes to a deeper understanding of their significance in shaping the future of virtual economies and financial interactions within the ever-evolving Metaverse.

Introduction: Regulatory technology (Regtech) uses technology and innovative techniques to improve and expedite regulatory compliance procedures across various sectors, notably the financial industry. This chapter closely examines how Regtech is being used in the financial sector.

Purpose: This study examines the adoption and implementation of Regtech solutions in the financial sector. It aims to identify the leading technologies propelling the adoption of Regtech and the benefits and challenges financial institutions face when implementing Regtech solutions for regulatory compliance.

Need of the Study: The study examines the increasing demand for effective regulatory compliance in the financial sector. Financial institutions seek novel ways to streamline compliance procedures as regulatory complexities increase. This study fulfills the need to examine the adoption of Regtech as a potential solution to enhance regulatory compliance’s efficiency and effectiveness.

Research Methodology: This chapter’s research methodology entails a comprehensive review of existing studies, and examples to collect pertinent data and insights. The current study provides an extensive and comprehensive view of the existing studies. Examining real-world examples provides practical examples and demonstrates the efficacy of Regtech in the financial sector.

Findings: The findings reveal that the adoption of Regtech is gaining momentum in the financial industry, with increasing recognition of its potential benefits. Financial institutions leverage Regtech solutions to automate compliance processes, monitor regulatory changes, and enhance risk management practices. However, technological complexities, regulatory constraints, and data security concerns pose significant hurdles to widespread adoption.

Purpose: This study examines the regulatory technology (RegTech) policies and practices in Bangladesh, highlighting barriers due to the slow adoption of RegTech and identifying opportunities amid the growing state of financial technology (FinTech).

Need for the Study: In response to the escalating complexity and volatility of regulatory requirements after the 2008 global financial crisis (GFC), RegTech has emerged worldwide. It harnesses the power of cutting-edge technologies to automate compliance, monitor regulatory changes, and provide real-time risk assessments. The development of RegTech solutions in developing countries is still in its nascent stages, and Bangladesh seems to be no exception.

Methodology: This study employs a secondary data-based research design, collecting data from the annual reports of the Bangladesh Financial Intelligence Unit (BFIU) and various commercial banks from 2017 to 2021. The data analysis employs descriptive statistics and content analysis to measure FinTech growth and assess the effectiveness of RegTech policies adopted by banks.

Findings: The study found a 657% increase in registered users from 2014 to 2022, with transactions rising from BDT104.83 billion to BDT961.33 billion. Bangladesh has enacted strong policies against illicit financial activities, indicating that it is in the early RegTech 2.0 stage focusing on regulatory compliance.

Practical Implications: The analysis reveals that Bangladesh’s lag in RegTech adoption, which exacerbates money laundering and suspicious transactions due to the increased use of FinTech. Regulatory authorities should enhance technology, enforce policies, and raise awareness to detect financial non-compliance.

Introduction: The bank plays a significant role in financial intermediation and serves as market-makers and agents. The emergence of new financial technology, commonly known as “FinTech”, is anticipated to revolutionize these industries. FinTech encompasses technological advancements in the financial sector to enhance consumer satisfaction, streamline operational procedures, create novel products, and foster greater competition.

Purpose: The primary aim is to discuss the banking industry’s current and potential future state with the emergence of financial technology. The specific objective is to explore the emergence of new-age technologies in the banking industry and the challenges faced in their implementation.

Methodology: A qualitative method is employed to analyze the FinTech landscape. Researchers conducted an extensive literature review and analyzed recent news articles to explore the banking industry’s digital transformation through FinTech. The literature review encompassed academic journals, industry reports, and relevant books to provide a theoretical framework and historical context to capture current developments, real-world applications, and emerging trends.

Findings: The evolution and impact of financial technology on the global economic landscape have been explored. It highlights how FinTech innovations, such as blockchain, artificial intelligence, and mobile payments, have revolutionized traditional banking, enhancing efficiency, accessibility, and security. It discusses regulatory challenges and the need for a balanced approach to foster innovation while ensuring consumer protection. The findings underscore FinTech’s potential to drive economic growth and the importance of continuous adaptation to evolving technological trends.

Purpose: This study presents a comprehensive bibliometric analysis to explore the evolving role of artificial intelligence (AI) in the financial sector, emphasizing the breadth and depth of research in this dynamic field through science mapping.

Need for the Study: The advancement of AI within the financial sector heralds a significant transformation, altering the traditional methodologies financial entities utilize to confront industry-specific hurdles and seize opportunities.

Methodology: The investigation spans articles from the Web of Science databases, covering a total of 295 documents indexed in WoS from 1997 to 2023, highlighting the rapid growth in scholarly output particularly in recent years. This growth mirrors the technological advancements in AI and its expanding applications in financial domains such as risk management, decision-making, and auditing.

Findings: The chapter aims to identify leading researchers, journals, organizations, and countries in AI finance research, investigate geographical research focuses, uncover key keywords and research clusters, and delve into the conceptual, social, and intellectual foundations of primary research publications.

Practical Implications: Despite its strengths, the study provides valuable insights and a foundation for future research to explore alternative metrics and qualitative content analyses, aiming to offer deeper insights into the impact of AI on finance.

Introduction: The difficulties and restrictions faced during the pandemic have led various organizations to offer online services. Organizations with the necessary infrastructure have adapted more seamlessly to this shift, while unprepared organizations have faced significant challenges. Recognizing the increasing importance of digital transformation, the banking sector, as a critical player in this process, has been widely examined in the literature.

Purpose: The digitization of banking has enabled faster and more convenient access to banking services. It is crucial to investigate how customer experience, shaped by the services provided by customer-centric banking institutions, impacts customer loyalty and satisfaction. This study focuses on data collected in Ankara, the capital city of Turkiye.

Methodology: Data were collected from 564 participants through a face-to-face, online survey. Fifty-four participants were excluded from the study due to non-use of digital banking or being under 18.

Findings: We found that money transfer was the most frequent digital banking transaction. As a result of the research, we understood that there is a statistically significant relationship between customer experience and customer loyalty and satisfaction, and there was no statistically significant relationship between gender and these values.