BBDABM2021
Marketing Computational Linguistics Theoretical Computer Science
Call for Book Chapters
Big Data Analytics: Applications in Business and Marketing by 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,
Associate Professor, Big Data, Cloud Computing and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India
Introduction
Business and marketing analytics is an emerging field that can potentially extend the domain of performance management to provide an improved understanding of business dynamics and lead to better decision making. This book focused on marketing and business which is related to the usage of data in a manner that can be used to know more about organization and customer how we cater to the needs and aspiration of the customer and how we can make the best decision by using the data In this book we also suggest the various marketing and business strategies to solve real market and organization challenges
Realizing the importance of data Indian enterprises are leveraging it to enhance customer experience employee productivity and business growth. According to the forester, insight-driven companies will earn $1.8 trillion by 2021.
The objective of this book is to explore the concept and applications related to marketing and business. Besides this, it shall also provide future research directions in this domain. Business analytics in marketing helps companies target customer needs by focusing their messaging or timing of a certain product or service on what is best for the consumer. A marketer who wishes to be effective in today’s competitive market must be able to look at the data, understand it, analyze it, and then interpret it to create a smart marketing strategy. Big data is also a significant source of information on how consumers use social media to interact with businesses
The book includes all chapters related to the analytics of marketing and business. Business analytics has a wide range of applications and usages. It can be used for descriptive analysis in which data is utilized to understand the past and present situations.
Business analytics is also used for prescriptive analysis, which is utilized to formulate optimization techniques for stronger business performance. For example, business analytics is used to determine the pricing of various products in a departmental store based on past and present set of information
Marketing analytics, specifically web and digital marketing analytics, helps in checking operations and their individual upshots, thus empowering in optimum and efficient use of available resources.
Recommended Topics:
This book will be accepting contributions from various fields. The tentative table of contents is as follows –
Part I: Introduction
This part deals with the basics of big data analytics, big data analytics challenges, business big data analytics Techniques, Applications and uses of big data analytics, big data analytics role in business and marketing. This part further elaborates that how big data analytics fits in business and marketing. This section is expected to serve as a prelude to the book and provide us all background details to understand the other part of book.
Part II: Applications of Business Analytics
Chapter1. Understanding the business problem
Chapter2. Big Data analytics and algorithm
Chapter3. Big Data mining process
Chapter4. Business complexity growing out of globalization
Chapter5. Business data understanding
Chapter6. Big Data preparation, modeling, and evaluation
Part III: Business Intelligence
Chapter 7: Life Cycle of Business Analytics Project
Chapter 8: Decision support system
Chapter 9: Business analytics and performance management
Chapter 10: Contribution of business analytics on strategic planning
Chapter 11: Business analytics for supply chain
Part IV: Analytics for Marketing Decision Making
Chapter 12: Big Data analytics for market intelligence
Chapter 13: Marketing decisions
Chapter 14: Big data analysis for marketing mix
Chapter 15: Creating value with data analytics
Chapter 16: Decision making of marketer by data analytics
Chapter 17: Prediction of various stages of the life cycle of the product
Chapter 18: Study of consumer behavior
Chapter 19: Product /service decisions
Part V: Digital marketing
Chapter 20: Study of patterns related to online marketing
Chapter 21: Digital marketing data analytics
Chapter 22: Prediction of marketing by the consumer analytics
Chapter 23: Web analytics for digital marketing
Chapter 24: Marketing Intelligence for optimum marketing return
Chapter 25: Smart retailing
Chapter 26: Smart advertising
Submission Procedure:
Academic scientists, researchers, and industrial practitioners are invited to submit a chapter proposal for this edited book entitled " Big Data Analytics: Applications in Business and Marketing " to be published in Taylor & Francis.
All submissions must be original and should not be under review by another publication. Authors should make sure 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
Click Here to submit Book Chapter
If you face a problem in uploading, please send it via the following e-mail:
kchaudhary1@gmail.com
malam2@jmi.ac.in
Important Dates:
Abstract Submission: 21st December 2020
Full Chapter Submission: Feb 15, 2021
Notification to Authors: March 1, 2021
Submission of the Revised Versions: 15th March 2021
Final Acceptance Notification: 28th March 2021
Contacts:
Dr. Kiran Chaudhary
E-mail: kchaudhary1@gmail.com
M:+ 9650998578
Department of Commerce, Shivaji College,
University of Delhi, New Delhi, India
Dr. Mansaf Alam
Email: malam2@jmi.ac.in
M:+91 9810650497
Big Data, Cloud Computing and IoT Laboratory
Department of Computer Science,
Jamia Millia Islamia, New Delhi, India