Sanjay Taneja - Böcker

Sustainable Development Unveiled: Engaging Reviews and Inspiring Case Studies offers a comprehensive exploration of innovative solutions driving progress toward the Sustainable Development Goals (SDGs). The book highlights recent advancements through case studies and literature reviews while emphasizing the interconnected nature of SDGs. By sharing this information, it aims to create outcomes that significantly contribute to positive global change. Readers will find a holistic approach to sustainability, uniting scholars, practitioners, and researchers across various disciplines.Highlights global reviews and case studies that explore sustainable development, different practices, and innovationsExamines how systemic inequalities have affected sustainable development effortsIntegrates multiple perspectives from environmental studies, businesses, and more, offering a comprehensive understanding of sustainable development

In today’s rapidly evolving business landscape, the convergence of technology and finance is inevitable. This book discusses how artificial intelligence (AI), business intelligence (BI), and data‑driven decision‑making are transforming traditional business management practices and leading to unparalleled innovation and efficiency.Transforming Business Management with AI, BI, and Data‑Driven Decision-Making presents readers with valuable insights into how these fields connect. By covering practical uses and case studies that illustrate real‑world applications of AI and BI as decision‑making tools, this book makes complex theories more accessible and understandable. Readers will also find practical tips on leveraging AI and BI to enhance operational workflows, customer communication, and competitive positioning in today’s dynamic business landscape. Practical implementation steps and a framework for successfully applying AI and BI technologies are included, addressing common challenges organizations may face. Additionally, strategies for achieving data‑driven decision‑making at the highest level are also offered.By bridging the gap between theoretical concepts and practical data analysis issues, this book serves as a valuable resource for professionals in the business environment, industrial and manufacturing engineering, business analytics, and related fields.

In an era defined by climate urgency, resource scarcity, and technological disruption, this book offers a compelling roadmap for reimagining supply chains and business models. By weaving together the transformative capabilities of artificial intelligence and blockchain with the principles of the circular economy, it demonstrates how organizations can shift from linear “take-make-dispose” systems to regenerative, data-driven networks that minimize waste, maximize transparency, and build long-term resilience.The book is divided into four parts that provide methodology for learning, applying, and developing the concept of circles as a design-based approach. Through an engaging mix of theory, architectural frameworks, and cross-sector case studies—ranging from digital product passports and reverse logistics in fashion to predictive analytics for smart waste recovery—the book illustrates not only what is possible, but how it can be practically achieved. At its core, it argues that digital technologies are not mere enablers but essential catalysts for achieving global sustainability goals, bridging the gap between boardroom commitments and on-the-ground execution. Case studies and datasets include examples of blockchain-enabled traceability in food supply chains, AI-driven waste management in manufacturing, and regenerative models from renewable energy transitions. Its scope extends across multiple domains: circular supply chain design, resource optimization, waste minimization, traceability, green finance, and Environmental, Social, and Governance-driven business models. Adopting a mixed methods approach, the book offers both academic insights and practical strategies to build resilient and future-ready supply chain systems.Accessible to readers from diverse backgrounds, it is an invaluable resource for researchers, students and scholars, as well as, policymakers, sustainability practitioners, and those interested in how innovation can power the transition to a circular, climate-positive economy.

The contemporary business landscape is characterized by data-driven decision-making, the automation of routine tasks, and the quest for efficiency. In this context, robo-advisors—employing advanced artificial intelligence and machine learning systems—are becoming increasingly prevalent within HR departments, ushering in a new era of HR management. This new volume, Robo-Advisors and Artificial Intelligence in Human Resources Management: Revolutionizing HR, provides a comprehensive analysis of the relationship between technology and the concept of HRM and their impact on the nature of work in the future, focusing on how AI and robo-advisors help businesses with strategies to enhance efficiency, introduce new methods, and make the best use of employees in the rapidly growing business environment of today.Presenting diverse viewpoints, insights, and case studies, the volume explains the concept of robo-advisors, or automation with the help of artificial intelligence, and offers an all-encompassing view of these technologies and how they can be effectively used in the HRM environment. This book delves into this transformative shift, shedding light on the profound changes that robo-advisors are bringing to the HR landscape and their implications for businesses, employees, and HR practitioners.Topics address using robo-advisors in human resources for smart and efficient hiring processes and for recruitment marketing, for augmenting employee quality of work-life and well-being, for evaluating job satisfaction in connection with gender diversity in leadership, for enhancing employee engagement and improving organizational performance, for analyzing shifting consumer purchase intentions, for enhancing wealth and investment management skills and financial literacy, and more.The volume provides a groundbreaking journey that offers insight into the potential and the challenges of integrating these innovative technologies into human resource management.

Transforming Financial Management with AI, BI, and Data-Driven Decision Making offers a comprehensive exploration of how emerging technologies are revolutionising the financial landscape. This timely work delves into the powerful convergence of artificial intelligence, business intelligence, and data analytics, providing financial professionals with a roadmap to harness these tools for operational efficiency, risk mitigation, and strategic growth. Through a blend of theoretical insights and practical implementation strategies, readers will gain a deep understanding of how to navigate and lead in a rapidly evolving financial environment.As organisations grapple with the exponential growth of data and the increasing complexity of digital tools, the ability to make informed, data-driven decisions has become a critical differentiator. This essential guide for business leaders, analysts, and decision-makers offers real-world case studies, actionable frameworks, and applied methodologies, it empowers readers to translate technological potential into measurable business outcomes—driving innovation, eliminating inefficiencies, and achieving sustained competitive advantage in the data-driven era.

Data Alchemy in the Insurance Industry: The Transformative Power of Big Data Analytics is a groundbreaking work that explores the transformative power of big data analytics within the insurance industry. This collected edition takes readers on a journey into the world of data-driven alchemy, where insurers turn vast amounts of information into valuable insights and innovations. By demystifying the complex realm of big data, Data Alchemy empowers insurance researchers and professionals to harness data effectively, create efficiencies, and achieve a competitive edge.This collected edition provides a comprehensive and practical roadmap for insurers, data scientists, technologists, and insurance enthusiasts alike, to navigate the data-driven revolution that is sweeping the insurance landscape. Authors in this work offer a series of case studies featuring renowned insurance companies that have successfully harnessed data analytics for strategic gains. They discuss not only the technological facets but also regulatory concerns, ethical considerations, and the human element in data-driven insurance transformation. This work anticipates the future trends and challenges that will shape the insurance industry, providing insights into how data alchemy will continue to evolve and impact the sector.This collected edition is essential reading for data scientists, technologists, researchers in the field of big data analytics, as well as insurers who implement research findings.

In an era where traditional marketing techniques are losing their effectiveness, businesses must embrace innovative and forward-thinking strategies to maintain a competitive edge. AI-Driven Blue Ocean Strategies offers business managers, marketers, and entrepreneurs a detailed reference on how to leverage artificial intelligence to create and sustain new Blue Ocean strategies. By combining the power of Artificial Intelligence with the principles of Blue Ocean Strategy, this book provides actionable insights on uncovering new market opportunities, developing differentiated value propositions, and ensuring long-term business success.With contributions from a diverse team of experts, this book presents a robust framework for applying AI in market research, consumer analysis, and trend forecasting. Through real-world case studies, readers will learn how leading companies are using AI-driven approaches to break free from saturated markets and establish new, uncontested market spaces. The authors provide an avenue for discussion of all aspects of how AI is transforming marketing and customer experience, from big data analysis and predictive analytics to content generation and real-time customer interactions.

Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance.The chapters discuss the Time Series Analysis with ARIMA Model, ARIMA Modelling in R, Credit Risk Modelling, GARCH Modelling, GARCH Models Best for Asset Returns, Software for conducting event studies (Eventus, STATA, Matlab, Event Study Metrics, Event Study Tools), Developing insights on Descriptive Analysis, Predictive Analysis, Prescriptive Analysis, Forecasting Methods, Decision Analysis, Analytics tools used in Banking, Role of Business Intelligence, Machine learning, financial Modelling, and Artificial intelligence in finance.Emerald Studies in Finance, Insurance, And Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

Fintech refers to new technology that improve and automates the financial services delivery system. The main essence of fintech is to help consumers, companies, and business owners to better manage their financial operations, processes, and lives by utilizing algorithms and specialized software that are used on computers and, increasingly, smartphones.Financial Landscape Transformation collects chapters to present the current and probable future state of banking and money with the advent of fintech. It will provide a broader perspective on contemporary financial products, services, technology and regulations, highlighting innovations in financial sector and opportunities created. Contributions from authors of regional diversity provide a range of perspectives and an opportunity to analyse where different countries are up to in terms of Fintech and its applications.

Our economies currently encourage excessive consumerism, weakening social ties, and depleting natural resources. Unfortunately, this is just the way economies have been developing. However, it is neither inevitable nor necessary. It takes a fresh economic vision to address these issues: a Green Economy. The concept of a "green economy" does not supplant sustainable development but instead places a fresh emphasis on a region's economy, investments pertaining to infrastructure, job and skill needs, and favourable social and environmental consequences.Sustainability Development through Green Economics examines sustainable finance, green tourism, green marketing as a tributary towards sustainable development. The multidisciplinary chapters traverse the power of economic as well as financial policy, green investment, green insurance as well as green infrastructural development to ensure sustainable development.Contemporary Studies in Economic and Financial Analysis publishes a series of current and relevant themed volumes within the fields of economics and finance. Both disciplinary and interdisciplinary studies are welcome.

Environmental concerns are at the forefront of governments, NGOs, businesses and organizations around the world. Green management has prompted questions about existing management research traditions' profit-oriented structures emphasising the price of economic progress.Green Management brings together works by specialists from different disciplines and continents to reflect on the nexus between Green Management and its impact on businesses. The chapters examine Green Finance, Green HRM, Green Supply Chain Management, Green Technology and Green Marketing and how they might be used to investigate the effects of Green Business, especially for managers and policymakers.Emerald Studies in Finance, Insurance, and Risk Management provides a platform for authors to explore, analyse and discuss current and new financial models and theories, and engage with innovative research on an international scale. Subjects of interest may include banking, accounting, auditing, compliance, sustainability, behaviour, management, and business economics.

The operations of the banking and finance sectors have greatly changed as they have integrated new and innovative smart technologies. Evolving digital technologies such as machine learning and artificial intelligence have given business and financial analysis new tools that provide the opportunity to analyze financial information for better decision making and market risk management. This new volume looks at these developments through a definitive assessment of how AI and ML have influenced today’s business finance processes. It explores the opportunities and risks that may originate from fintech as well as the ethical issues connected with artificial intelligence and machine learning. It looks at the changing landscape of investments, the confluence of social commerce and machine learning, assessing customer awareness and engagement in green banking, machine learning algorithms for forecasting, gender bias in investment behavior through machine learning, and much more.

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This book provides an in-depth exploration of the critical role of finance in the transition to a carbon-neutral world. The book uncovers the powerful ways in which finance can drive environmental change, providing a comprehensive guide to sustainable investment strategies, green bonds, and the integration of Environmental, Social, and Governance (ESG) principles into decision-making. In an era of heightened climate risks, it explores the financial innovations—such as fintech, blockchain, and artificial intelligence—that are transforming the green economy and enabling companies and investors to navigate the complexities of sustainability. This book takes a deep dive into the policy frameworks and global initiatives that shape sustainable finance. It examines mechanisms like carbon pricing, emissions trading systems, and international agreements such as the Paris Agreement, which collectively play a central role in facilitating the green transition. Industry-specific strategies are also highlighted, with particular emphasis on the financial tools supporting renewable energy, sustainable manufacturing, and low-carbon transportation. Additionally, the book addresses the challenges and opportunities presented by emerging markets, spotlighting innovative financing solutions such as blended finance, microfinance, and public–private partnerships. Corporate sustainability is a major focus, with discussions on how businesses are increasingly adopting ESG principles, corporate social responsibility (CSR), and transparent sustainability reporting to enhance long-term value. The book also explores the financial risks embedded in the zero-carbon economy, such as climate-related risks, stranded assets, and regulatory uncertainties, helping businesses and financial institutions prepare for a rapidly evolving landscape. By integrating theory with practical insights and real-world case studies, the book provides readers with a clear understanding of the financial mechanisms that are reshaping industries and markets in line with sustainability goals. Whether discussing green bonds or the latest fintech innovations, it connects financial practices with environmental outcomes, offering a roadmap for aligning investments with global sustainability efforts.

This book offers a comprehensive exploration of the profound challenges and opportunities presented by deepfake technology across industries, society, and governance. It delves into the multifaceted impacts of synthetic media, examining its potential to reshape corporate trust, economic stability, and public discourse while emphasizing strategies to build resilience and ethical frameworks.Key themes include the role of intellectual capital in safeguarding corporate reputation, the risks of deepfake fraud in financial markets, and the implications for insurance, banking, and fintech sectors. Through cross-disciplinary analyses, the book unravels the disruptive influence of deepfakes on political affairs, economic policies, and corporate transparency.Highlighting real-world case studies, it addresses workplace resilience, data-driven decision-making, and the intersection of deepfake technology with marketing innovation and job satisfaction. From social media marketing to public trust and privacy concerns, the book offers actionable insights for navigating the ethical dilemmas posed by synthetic media.With a focus on collaboration across disciplines, the book equips readers with strategies for mitigating risks, promoting media literacy, and leveraging AI responsibly. Mastering Deepfake Technology is an essential guide for academics, professionals, and policymakers seeking to understand and address the complexities of this emerging frontier.