Transforming Business Finance in the Digital Era

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.

Sommario

Introduction 1. Unlocking Financial Intelligence: Navigating the Machine Learning Landscape in Finance 2. AI Ethics: From Search Engines to AI Assistants, Analyzing the Transformation of Internet Browsing and Its Consequences for Content Websites and Online Advertising 3. Changing Landscape of Investments in Contemporary Times: Challenges and Opportunities 4. Antecedents and Impact of Workplace Cyberbullying: A Systematic Literature Review 5. Exploring the Future of Fintech: Innovations, Challenges, and Opportunities 6. Reshaping Finance in the Digital Age: The Confluence of Social Commerce and Machine Learning 7. Mapping the Landscape: A Bibliometric Journey through Machine Learning Research 8. Financial Services Employing Artificial Intelligence and Machine Learning 9. Artificial Intelligence (AI) and Machine Learning (ML) in Indian Finance: Present Landscape and Future Trajectory 10. Sustainable Finance in Focus: Assessing Customer Awareness and Engagement in Green Banking 11. Predictive Analytics in Finance: Harnessing AI and ML for Market Risk Management 12. Revolutionizing Finance: A Primer on Machine Learning Applications 13. A Machine Learning Algorithm for Forecasting Customer Churn in the Motor Insurance Industry 14. The Utilization of Machine Learning Techniques in the Prediction and Manipulation of Consumer Purchase Intentions 15. Equitable Horizons: Navigating Gender Bias in Investment Behavior Through Machine Learning

Info autore

Sanjay Taneja, PhD, is an Associate Professor in Research at Graphic Era University in Dehradun, India, and an Affiliate Professor at U¿ak University in Turkey. He has over 50 publications to date, including research papers, e-books, textbooks, and edited books. He also holds several patents. He is frequently invited as a speaker and has served as a session conference chair, resource person, and judge. He focuses on areas such as banking regulations, fintech, sustainable finance, and environmental finance.
Mohammad Kashif, PhD, is an Assistant Professor of Management Studies at Graphic Era University, Dehradun, India. He is an esteemed academic and researcher specializing in management, finance, financial economics, and international business. His work has been recognized with awards and senior and junior research fellowships. He has also authored several textbooks and is mentoring PhD scholars. Additionally, he actively participates in academic events, delivering keynote lectures and organizing national-level conferences.
Ercan Özen, PhD, is a Professor of Finance in the Faculty of Applied Sciences at the University of U¿ak, Turkey. He has edited books and has more than 100 publications to his credit. He is a board member of several international conferences and workshops and chair of the International Applied Social Sciences Congress and co-editor of the Journal of Corporate Governance, Insurance and Risk Management and Opportunities and Challenges in Sustainability. Dr. Özen is also a certificated accountant, member of the Aegean Finance Association, and member of TEMA (Turkey Combating Soil Erosion, for Reforestation and the Protection of Natural Resources Foundation).
Luan Vardari, PhD, is Assistant Professor of Finance in the Faculty of Economics at University "Ukshin Hoti," Prizren, Kosovo. He teaches finance courses at graduate and undergraduate levels. His research interests include financial markets and institutions, portfolio optimizations, and international finance. Dr. Vardari is the founder and editor-in-chief of Prizren Social Science Journal. He is also an editor for book chapters and articles in national and international journals.

Dettagli sul prodotto

• Con la collaborazione di: Mohammad Kashif (Editore), Ercan Özen (Editore), Sanjay Taneja (Editore), Luan Vardari (Editore)
• Editore: Taylor & Francis Ltd (Sales
• Lingue: Inglese
• Formato: Copertina rigida
• Pubblicazione: 02.12.2025, ritardato
• EAN: 9781998511228
• ISBN: 978-1-998511-22-8
• Pagine: 282
• Dimensioni: 152 mm x 229 mm x 19 mm
• Peso: 576 g
• Categoria: Scienze sociali, diritto, economia > Economia > Economia politica