In the face of an evolving global landscape characterized by climate change and a pressing need for sustainable development, the finance sector remains at a critical juncture. Traditional financial models struggle to address the challenges posed by the transition to a low-carbon economy, and unlocking private investments for sustainable initiatives remains an uphill battle. The integration of Artificial Intelligence (AI) and Machine Learning (ML) into financial systems presents both promise and peril, with the potential to reshape the industry while posing unprecedented challenges. Issues of Sustainability in AI and New-Age Thematic Investing is a beacon of insight and solutions in the realm of green finance and AI/ML integration. Geared toward academic scholars, policymakers, and industry experts, this book serves as a comprehensive guide to navigating the intricacies of sustainable development and energy transition. By highlighting the pivotal role of AI/ML in green finance, the publication bridges the gap between theoretical understanding and practical implementation, offering actionable solutions for unlocking private investments.

In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively.

In an age defined by unparalleled technological advancements, globalization, and the looming specter of environmental and societal crises, the need for a holistic and sustainable approach to accounting practices has never been more pressing. Academic scholars stand witness to the challenges posed by the new era, characterized by transformative shifts across industry, education, community, and society at large. These shifts, driven by rapid advancements in Artificial Intelligence (AI), present a double-edged sword. While AI offers unprecedented opportunities for innovation, it also amplifies the urgency of addressing sustainability concerns. Today's society grapples with the immense responsibility of achieving the Sustainable Development Goals (SDGs) outlined in Agenda 2030. It is imperative to not only understand but harness the power of AI to drive sustainability, enhance the quality of life, and ensure sustainable growth on both local and global scales. Artificial Intelligence Approaches to Sustainable Accounting serves as a beacon of knowledge, providing a comprehensive exploration of the intersection between AI, accounting, and sustainability. This book represents a vital solution to the challenges faced by academic scholars and practitioners alike. Within its pages lies a transdisciplinary approach that bridges the gap between these critical fields. Discover how AI can elevate accounting to new heights, extending the spectrum of information in organizational decision-making, promoting responsible reporting practices, and bolstering sustainable practices worldwide. This book not only reviews governance and management processes but also offers practical methodologies that empower organizations to embrace sustainability wholeheartedly.

In the modern business landscape, the intersection of technology and operations management is driving efficiency and innovation. As organizations continue to rely on advanced technologies, such as artificial intelligence, data analytics, and automation, they are transforming their operational strategies to enhance productivity, streamline processes, and deliver valuable products. Aligning technological advancements with operational goals allows companies to achieve a competitive edge, improve customer satisfaction, and unlock new growth opportunities. Businesses must continue to explore this convergence to adapt their operations successfully and invest in necessary skills to connect technology with business processes. Convergence of Technology and Operations Management in Modern Businesses explores the intersection of technology and operations management in the modern business environment. It covers technological advancements for revolutionized operations and supply chain management for increased efficiency and competitiveness. This book covers topics such as smart banking, blockchain, and human capital, and is a useful resource for financial professionals, bankers, business owners, data scientists, computer engineers, academicians, scientists, and researchers.

This book examines the fundamental concepts and principles of digital transformation and AI, including their historical development, and underlying technologies, and analyzes the opportunities arising from digital transformation and AI in different sectors, such as healthcare, finance, education, transportation, and governance. It provides a comprehensive overview of digital transformation and AI technologies and their current state of implementation. It also explores the potential challenges and risks associated with digital transformation and AI, including ethical considerations, job displacement, privacy concerns, biases, impact on inequality, social interactions, and the overall well-being of individuals and communities. Additionally, the books provides and discusses policy and regulatory frameworks that can effectively address the opportunities and challenges posed by digital transformation and AI leading to responsible AI. It also delves into impact of automation on the job market and workforce. The book concludes by proposing potential strategies for navigating opportunities and challenges of digital transformation and AI integration. It emphasizes the need for interdisciplinary collaboration among stakeholders, including policymakers, industry leaders, academia, and civil society, to develop a comprehensive approach towards harnessing the full potential of digital transformation and AI and associated technologies. The book employs a multidisciplinary approach, drawing from various fields such as computer science, sociology, philosophy, political science, economics, law and governance. It combines theoretical analysis, empirical case studies, and expert perspectives to provide a holistic view of the subject matter. This book caters to a diverse audience, including students, researchers, academics, policymakers, industry professionals, and technology enthusiasts. It provides a valuable resource for those seeking a comprehensive understanding ofthe opportunities and challenges arising from the integration of digital transformation and AI in society.

Neuromarketing plays a significant role in sustainable finance by tapping into the emotional and cognitive factors that influence investor decisions regarding socially and environmentally responsible investments. It helps financial institutions understand how individuals respond to sustainability messages, enabling them to craft more persuasive campaigns that resonate with investors’ values. By leveraging insights into behavior and decision-making processes, neuromarketing enhances the appeal of sustainable finance, encourages greener investment choices, and helps align financial practices with the growing demand for ethical, long-term impact solutions. Neuromarketing's Role in Sustainable Finance explores the intersection of neuromarketing and sustainable finance, revealing how insights from cognitive neuroscience can drive environmentally responsible investment behaviors. It examines subconscious factors influencing consumer decisions toward green investments, offering theoretical frameworks and practical applications to understand and promote ethical financial choices. Covering topics such as behavioral finance, environmental awareness, and investor patterns, this book is an excellent resource for scholars, researchers, financial professionals, marketers, business professionals, academicians, graduate and postgraduate students, and more.

As artificial intelligence (AI) transforms human resources (HR), its integration brings both opportunities and ethical challenges. AI can enhance recruitment, performance evaluation, and employee engagement. However, without careful oversight, it risks perpetuating biases, compromising privacy, and reducing transparency. It's crucial for HR professionals and organizations to adopt a responsible approach, ensuring that AI aligns with values of fairness, accountability, and respect for individual rights. Human Resource Strategies in the Era of Artificial Intelligence elucidates how AI technologies can be strategically integrated into HR functions to enhance organizational performance and employee well-being. This book offers essential ethical frameworks, guidelines, and best practices for integrating AI into HR. Aimed at HR professionals, researchers, policymakers, and technology developers, it provides the insights needed to responsibly navigate AI's complexities in the workplace, promoting ethical AI adoption and safeguarding the integrity of HR practices.

In today's rapidly evolving business landscape, small businesses face numerous challenges in staying competitive and sustainable. Limited resources, intense competition, and changing consumer demands create a complex environment where innovation and adaptability are paramount. Many small business owners need help to leverage technology effectively, hindering their ability to streamline operations, reach new markets, and achieve long-term growth. Additionally, businesses need to adopt sustainable practices, both for ethical reasons and to meet the increasing demands of environmentally-conscious consumers. Technopreneurship in Small Businesses for Sustainability offers a comprehensive solution to these challenges by focusing on the intersection of technology, entrepreneurship, and sustainability. This book provides practical insights, strategies, and frameworks that small business owners and managers can use to thrive in today's dynamic environment. It explores how technology can be leveraged to improve business performance, enhance customer engagement, and drive innovation, ultimately leading to greater sustainability and competitiveness.

Digital era reporting undergoes a seismic shift as automation takes center stage. The transition from manual reporting to real-time automated systems enhances precision and efficiency and reduces errors, empowering decision-makers. However, this era of digital reporting brings forth a new set of challenges, from data security and privacy concerns to the imperative need for robust cybersecurity measures. Impact of Digitalization on Reporting, Tax Avoidance, Accounting, and Green Finance delves into this transformative wave, comprehensively exploring its consequences on these critical domains. The book meticulously dissects both the positive and negative repercussions, encapsulating the challenges and opportunities that arise in this era of digital metamorphosis. Navigating tax avoidance in a digitalized world unveils a complex dynamic. Digitalization, on the one hand, empowers tax authorities to access and analyze vast datasets, making it challenging for businesses to engage in tax evasion. On the other hand, sophisticated digital tools provide fertile ground for corporations to devise intricate tax avoidance schemes. Striking a balance becomes paramount, necessitating regulatory measures and international cooperation while addressing ethical dimensions in leveraging technology for tax strategies. The book offers a nuanced understanding of the intricate relationship between digitalization and these critical domains, from business professionals and financial analysts to regulatory bodies and sustainability advocates.

Climate finance is a complex and rapidly evolving field, with practices and regulations varying widely across countries. This lack of standardization and understanding poses a significant challenge for stakeholders, hindering effective decision-making and impeding progress toward climate goals. Additionally, the sheer breadth of topics within climate finance, from carbon pricing mechanisms to sustainable investments, can overwhelm researchers and practitioners alike, further complicating efforts to address climate change effectively. Modern Concepts and Practices of Climate Finance offers a comprehensive solution to these challenges. Written by distinguished experts in the field, the book thoroughly examines climate finance practices worldwide. It is a valuable resource for academics, researchers, and professionals, offering insights and lessons learned from theory and real-world applications. Whether you are a researcher seeking to understand the latest trends or a practitioner looking for practical solutions, this book is an essential guide for anyone working in the field of climate finance.