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E-grāmata: Applications of Artificial Intelligence in Business and Finance: Modern Trends [Taylor & Francis e-book]

Edited by (MCKV Institute of Engineering, Liluah), Edited by (Amity University, India), Edited by (Sharda University, India), Edited by
  • Formāts: 248 pages, 10 Tables, black and white; 5 Line drawings, color; 30 Line drawings, black and white; 3 Halftones, color; 8 Illustrations, color; 30 Illustrations, black and white
  • Izdošanas datums: 23-Dec-2021
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-13: 9781003129639
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  • Standarta cena: 266,81 €
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Applications of Artificial Intelligence in Business and Finance: Modern TrendsPalielināt
  • Formāts: 248 pages, 10 Tables, black and white; 5 Line drawings, color; 30 Line drawings, black and white; 3 Halftones, color; 8 Illustrations, color; 30 Illustrations, black and white
  • Izdošanas datums: 23-Dec-2021
  • Izdevniecība: Apple Academic Press Inc.
  • ISBN-13: 9781003129639
Citas grāmatas par šo tēmu:
Taylor & Francis e-booksMore info about Taylor & Francis e-books
Rokasgrāmatas mājas lapa: https://www.taylorfrancis.com/books/9781003129639
"In the current competitive and technology-driven world, AI has emerged as growing technology that is applicable to many fields. As transactions and other business functions move online and grow more popular every year, the finance and banking industriesface increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior andpotential fraud. In this volume, Applications of Artificial Intelligence in Business and Finance: Modern Trends, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapterspresenting cutting-edge research on current business practices in finance and management. Topics cover the impact and application of AI on many diverse areas in finance and business, including e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more. This book will be useful for those in the fields of finance and business management and also for professionals in electronic and communication technology. It will also be useful for academicians, postgraduate students, research associates, and others"--

In the current competitive and technology-driven world, AI has emerged as growing technology that is applicable to many fields. As transactions and other business functions move online and grow more popular every year, the finance and banking industries face increasingly complex data management and identity theft and fraud issues. AI can bring many financial and business functions to the next level, as systems using deep learning technologies are able to analyze patterns and spot suspicious behavior and potential fraud.

In this volume, Applications of Artificial Intelligence in Business and Finance: Modern Trends, the focus is on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management.

Topics cover the impact and application of AI on many diverse areas in finance and business, including e-commerce systems, financial services, fraud prevention, identifying loan-eligible customers, online business, Facebook social commerce, insurance industry, online marketing, and more.

This book will be useful for those in the fields of finance and business management and also for professionals in electronic and communication technology. It will also be useful for academicians, postgraduate students, research associates, and others.



Focuses on the application of artificial intelligence in finance, business, and related areas. The book presents a selection of chapters presenting cutting-edge research on current business practices in finance and management.

Contributors xv
Abbreviations xvii
Acknowledgments xix
Preface xxi
Introduction xxiii
1 Impact of AI on e-commerce
1(28)
Deepa Sharma
2 Artificial Intelligence: A New Driver for Managing Customers in e-commerce Smartly
29(22)
Sharmistha Dey
3 F-Commerce as a Tool of Artificial Intelligence: A Modern Approach for Promoting Startups
51(18)
Priyanka Jingar
Sachin Gupta
4 Sectorial Impacts of Artificial Intelligence
69(18)
Om Prakash Gusai
Ankur Rani
5 Revolution Through Artificial Intelligence in Context to Financial Services
87(26)
Srishty Mehra
Gurmeet Singh
6 Artificial Intelligence Techniques of Fraud Prevention
113(20)
Shashank Agarwal
7 A Case Study on Developing an End-to-End Solution to Identify Loan Eligible Customers and Assigning Them Credit Lines Based on Their Predicted Income
133(12)
Gaurav Nagpal
Ankita Dhamija
Divyansh Gupta
8 Artificial Intelligence: A Boon for Online Business
145(16)
Priyanka Bhardwaj
Shipra Pathak
9 The Driving Forces of Facebook Social Commerce
161(24)
Deepshikha Seth
Shalini Srivastav
10 Artificial Intelligence in Green Accounting
185(18)
Annu Purthi
11 Impact of Artificial Intelligence on the Insurance Industry
203(18)
Ravi Sanwal
12 Impact of Artificial Intelligence in Changing Trends of Marketing
221(20)
Seema Sahai
Richa Goel
Index 241
Vikas Garg, PhD, is Director of the Executive Programs Management Domain at Amity University Uttar Pradesh, Greater Noida Campus, India. He is UGC NET qualified with 15 years of academic experience. His areas of specialization are accounting and finance, and his major interests are in financial markets, financial reporting, and analysis. He has published numerous research papers in various Scopus- and ABDC-indexed international and national journals. He holds many copyrights and patents and has organized many national and international conferences.

Shalini Aggarwal, PhD, is Associate Professor at Chandigarh University, Ajitgarh, India. With more than 18 years of working experience, she has presented at conferences and published papers and case studies. She is a reviewer for the Journal of Financial Economic Policy and a member of the Technical Program Committee of the 9th Annual International Conference on Accounting and Finance. She was the guest editor of a special session titled Green IT and Sustainability of the International Conference on Innovative Computing and Communication.

Pooja Tiwari, PhD, is a faculty member at ABES Engineering College, Ghaziabad, India. She has over 12 years of experience in teaching and research as well as industrial experience in production. She has many national and international publications to her credit, including papers in Scopus-indexed journals. She takes an active part in seminars and conferences and in organizing workshops. Her areas of interest are human resource management, cross-cultural management, and related areas.

Prasenjit Chatterjee, PhD, is Associate Professor of the Mechanical Engineering Department at MCKV Institute of Engineering, India. He has published over 80 research papers in international journals and conferences. He has received numerous awards and is a guest editor of several special issues in international journals. Dr. Chatterjee is the editor of several book series, including International Perspectives on Decision Analysis and Operations Research, AAP Research Notes on Optimization and Decision-Making Theories, and Frontiers of Mechanical and Industrial Engineering.
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