Call for Book Chapters

ADABM-2023: AI-Based Data Analytics: Applications for Business Management (CRC Press Taylor and Francis Group)

Editors
Dr. Kiran Chaudhary
Assistant Professor, Department of Commerce, Shivaji College
University of Delhi, New Delhi, India

Dr. Mansaf Alam,
Professor, Big Data, Cloud Computing, and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India

Introduction
This book will offer worldwide visibility and promotion to their novel ideas and insights on different aspects of the theme. Data analytics, business, and marketing are interdisciplinary fields about processes and systems to extract knowledge or insights from data.
This book is focused on Business intelligence, marketing Intelligence, Business Technology, and Digitalization. This is an emerging field that can increase the performance management domain to improve understanding of business and Marketing dynamics that can lead to better strategic decision-making. In this book, we have also given a variety of marketing and business analytics strategies to solve market and organizational challenges. The use of artificial intelligence in business and marketing analytics can help to create value by proper allocation of all available resources. By using various techniques and tools of Big data Analytics, we can improve the performance of the business.
This book aims to explore the concept and applications related to marketing and business. Besides this, it shall also provide future research directions in this domain. This book is meant for students, practitioners, industry professionals, researchers, and faculty working in the field of commerce and marketing, Computer Science, big data analytics, Data Analytics with Artificial Intelligence, and wide-ranging elucidation to organizational strategic decision-making. This book includes aspects of artificial intelligence-based marketing and business that are helpful for business management to prolong in the marketplace by creating value. Artificial Intelligence-based Business and marketing analytics are helpful to companies by fulfilling the consumer's needs by providing them with timely products and services. Big data analytics using artificial intelligence is also a significant source of information on how consumers use social media to interact with businesses. AI-based business analytics helps to develop statistics, and critical skills, track the behavior patterns of the customers and also predict the Business Analytics trends that have become inevitable in case marketing professionals want to remain a step ahead of their competitors.
Recommended Topics:
This book will accept contributions from various fields. The tentative table of contents is as follows –
Chapter 1: AI-Based Data Analytics for Business Management
Chapter 2: Model for Heterogeneous Data Source Integration
Chapter 3: Management Analytics Models
Chapter 4: Storage and Query Processing Management
Chapter 5: Evaluation and Data Optimization
Chapter 6: Simulation and Tools for Massive Data Systems,
Chapter 7: Pre-processing and Analysis for Quality Data
Chapter 8: Recent Data Analytics Trends
Chapter 9: Data Analytics in Business Intelligence
Chapter 10: Process of Big Data mining
Chapter 11: Algorithm and Data Analytics
Chapter 12: Value creation using Data Analytics
Chapter 13: Storage and query processing for data
Chapter 14: Security issues in Data Analytics and Cloud
Chapter 15: Business Intelligence
Chapter 16: Supply Chain Management with AI
Chapter 17: Data Performance Characterization
Chapter 18: Business Decision-Making using AI
Chapter 19: Performance Analysis Using AI
Chapter 20: AI-based Business Model Innovation in New Technologies
Chapter 21: AI-based Planning of Business Management
Chapter 22: Sentiment Analysis Techniques on Social Media with AI
Chapter 23: AI-based Community Information Systems
Chapter 24: Stock Market Prediction and Portfolio Management with AI
Chapter 25: Use of AI in E-commerce
Chapter 25: AI-based Personality Prediction System
Chapter 26: Artificial Intelligence in Project Management

Submission Procedure:

Academic scientists, researchers, and industrial practitioners are invited to submit a chapter proposal for this edited book entitled " AI-Based Data Analytics: Applications for Business Management to be published in Taylor & Francis.
All submissions must be original and should not be under review by another publication. Authors should ensure that their submission has 15% or lower similarity as per iThenticate or Turnitin. All submitted chapters will be reviewed on a double-blind, peer-review basis. The book chapters should contain 15-20 pages of content as per the Taylor & Francis format.

Manuscript Preparation:

Please prepare the manuscript according to the following guidelines:
https://docs.google.com/viewer?a=v&pid=sites&srcid=ZGVmYXVsdGRvbWFpbnxjYWxsZm9yY2hhcHRlcnxneDo1YjNkMzBmOGQyZWU3Mzc

Submission of the chapter(s) via the following link

https://easychair.org/conferences/?conf=adabm2023

If you face a problem in uploading, please send it via the following e-mail:
kchaudhary2112@gmail.com
malam2@jmi.ac.in


Important Dates:
Full Chapter Submission: January 3, 2023
Notification to Authors: January 10, 2023
Submission of the Revised Versions: January 15th, 2023
Final Acceptance Notification: January 20, 2023


Contacts:
Dr. Kiran Chaudhary
E-mail: kchaudhary1@gmail.com
Department of Commerce, Shivaji College,
University of Delhi, New Delhi, India

Prof. Mansaf Alam
Email: malam2@jmi.ac.in
Big Data, Cloud Computing, and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India