Future Outlooks On Corporate Finance And Opportunities For Robust Economic Planning

"This book will disseminate knowledge on corporate response during the covid-19 crisis, which will help readers to understand the relevance of each adjustment and strategic intervention on firm value, addressing challenges on both the demand and supply side and the firm value chain"--

Corporate finance decisions showcase the responses of corporations to address challenges on both the demand and supply sides and the firm value chain. Corporate performance, strategies, and priorities have changed significantly since the pandemic. Understanding these changes and developing and implementing policy responses are crucial to success. Future Outlooks on Corporate Finance and Opportunities for Robust Economic Planning disseminates knowledge regarding corporate response during crises that contribute to a robust economic planning process. It examines the adjustments and strategic interventions that helped corporations mitigate challenges successfully. Covering topics such as corporate governance practices, global systemic risk interdependencies, and investment decisions, this premier reference source is an excellent resource for finance professionals, business executives and managers, financial officers, students and faculty of higher education, librarians, researchers, and academicians.

Economic activity is embedded in specific surroundings, and ultimately, these conditions determine productivity and efficiency. However, the use of space in the formal models has been troublesome, but in practical activity, the territory is a crucial determinant when the agents make economic decisions. The interaction between economic activity, territory, and space has become a definitive bedrock in theories throughout the history of thought, such as location theory, urban economics, and new economic geography. Considerations of Territorial Planning, Space, and Economic Activity in the Global Economy analyzes the interaction between territory, economic activity, and human development, sharing interesting histories and deploying an extensive set of methodologies, places, and points of view. Covering key topics such as territorial planning, urban economics, and natural resources, this premier reference source is ideal for economists, policymakers, government officials, industry professionals, researchers, academicians, practitioners, scholars, instructors, and students.

The advancements in artificial intelligence and machine learning have significantly affected the way financial services are offered and adopted today. Important financial decisions such as investment decision making, macroeconomic analysis, and credit evaluation are becoming more complex within the field of finance. Artificial intelligence and machine learning, with their spectacular success accompanied by unprecedented accuracies, have become increasingly important in the finance world. Advanced Machine Learning Algorithms for Complex Financial Applications provides innovative research on the roles of artificial intelligence and machine learning algorithms in financial sectors with special reference to complex financial applications such as financial risk management in big data environments. In addition, the book addresses broad challenges in both theoretical and application aspects of artificial intelligence in the field of finance. Covering essential topics such as secure transactions, financial monitoring, and data modeling, this reference work is crucial for financial specialists, researchers, academicians, scholars, practitioners, instructors, and students.

All nations must become self-reliant and as such need to analyze the concept and terminologies associated with business ecosystems and social innovation ecosystems. Further study on the challenges and opportunities is required to ensure countries remain stable and continue to develop. Exploring Business Ecosystems and Innovation Capacity Building in Global Economics explores the application of different theories and frameworks that contribute to the business ecosystem through empirical and conceptual research. The book also states the issues and challenges that occurred in society during the pandemic and considers the development of virtual business environments. Covering topics such as social exchange, value creation, and business practices, this reference work is ideal for economists, policymakers, business owners, managers, entrepreneurs, industry professionals, researchers, scholars, practitioners, academicians, instructors, and students.

During the last few decades, financially and technologically corrupt practices, such as financial and technological crimes, frauds, forgeries, scandals, and money laundering, have been monitored in many countries around the globe. There is a general lack of awareness regarding these issues among various stakeholders including researchers and practitioners. Concepts, Cases, and Regulations in Financial Fraud and Corruption considers all aspects of financial and technological crimes, frauds, and corruption in individual, organizational, and societal experiences. The book also discusses the emergence and practices of financial crimes, frauds, and corruption during the last century and especially in the current technological advancement. Covering key topics such as financing, ethical leadership, tax evasion, and insider trading, this premier reference source is ideal for computer scientists, business owners, managers, researchers, scholars, academicians, practitioners, instructors, and students.

The significance of cryptocurrencies can be understood clearly with their high market penetration in recent times. The central banks, economists, business professionals, and authorities are examining the prospects, impacts, comfortability, and reliability aspects of cryptocurrencies. Many questions are yet to be answered empirically to cover the significance, considerations, negative impacts, policy applications, and acceptance of cryptocurrencies as marketable instruments. Many governments are concerned about the nature and volatility of cryptocurrencies due to their decentralized form. Emerging Insights on the Relationship Between Cryptocurrencies and Decentralized Economic Models discusses the answers to major queries and concerns regarding cryptocurrencies and the emergence of decentralized economic models. It covers major topics that are highly resourceful for knowledge seekers and is highly useful, containing vital information related to cryptocurrencies. Covering topics such as central bank digital currencies, financial reporting, and public perception, this premier reference source is an essential resource for economists, government officials and agency officials, policymakers, central bank professionals, investors, entrepreneurs, students and educators of higher education, librarians, researchers, and academicians.

Artificial intelligence (AI) and knowledge management can create innovative digital solutions and business opportunities in Asia from circular and green economies to technological disruption, innovation, and smart cities. It is essential to understand the impact and importance of AI and knowledge management within the digital economy for future development and for fostering the best practices within 21st century businesses. The Handbook of Research on Artificial Intelligence and Knowledge Management in Asia’s Digital Economy offers conceptual frameworks, empirical studies, and case studies that help to understand the latest developments in artificial intelligence and knowledge management, as well as its potential for digital transformation and business opportunities in Asia. Covering topics such as augmented reality. Convolutional neural networks, and digital transformation, this major reference work generates enriching debate on the challenges and opportunities for economic growth and inclusion in the region among business executives and leaders, IT managers, policymakers, government officials, students and educators of higher education, researchers, and academicians.