Call for Chapters: Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence

Editors

Afzal Sayed Munna, University of Sunderland in London, United Kingdom
Md Sadeque Imam Shaikh, University of Wales Trinity Saint David, United Kingdom
Baha Uddin Kazi, Humber Institute of Technology and Advanced Learning, Toronto Metropolitan University, Canada

Call for Chapters

Full Chapters Due: March 26, 2023

Introduction

Digital Marketing is the process of promoting brand, products and services using diverse digital channels. Digital marketing first appeared in 1990s, rapidly emerging and taking over the conventional marketing platform due to the proliferation of information technology (IT). This marketing platform emerging as a natural response by companies or vendors to leverage and benefit from the significant consumer concentration on the digital channels such as SMS, search engines, email, websites, social media and IoT devices. This proliferation of IT applications and enormous presence of customers in the digital channels generate huge number of products and customers data. Machine learning and artificial intelligence is a game changing technique in digital marketing to analyse this data. This analysis helps marketers to personalize the sales tools toward individuals, optimize their own operations and minimize expenditure.

Objective

Artificial intelligence and machine learning are transforming the future of Digital Marketing. This book will demonstrate relevant theories of digital marketing along with tools, techniques, methods, and strategies. It will also identify the research gaps for effective digital marketing tools, techniques, methods and will build a bridge between the digital marketing strategies and business plan for organisations. Subsequently demonstrate how to formulate the best strategy for a company, using digital marketing techniques with business strategy and established marketing models. Machine learning and Artificial Intelligence will also be discussed as major revolutionary technologies for effective analysis, prediction, and design of digital marketing strategies in big data era. Moreover, Moreover, this book will explore various factors and challenges of digital marketing and machine intelligence to enhance learning experience of students in the higher education sector.

Target Audience

The target audience of this book will be composed of professionals, researchers, policy makers and students working in various disciplines such as business, marketing, information and communication technology, machine learning, data analytics, social media analysis, IoT, big data, predictive analysis & modelling, and education. It may be used in undergraduate and graduate courses on digital marketing and machine intelligence. Moreover, the book will provide insights, challenges and future research directions for academia and industry researchers.

Recommended Topics

• Digital Marketing • Models of digital marketing • Digital marketing strategies • Digital marketing tools, techniques, and methods • Digital advertising and field experiments • Impact of Digital Marketing on SMEs • Digital marketing and social network • Social media analytics and customer insights • Digital marketing and IoT • Machine learning and its Role on Digital Marketing • Digital marketing and artificial intelligence • Business analytics • Machine Learning and marketing data analysis • Predictive analytics using ML in digital marketing • Emerging impactful machine learning applications for digital marketing • Marketing analytics approaches • IoT applications for digital marketing • Scaling up customer support with AI and ML • Consumer privacy, ad fraud prevention, and big data • Digital Marketing Ethics, Challenges, and future research directions

Submission Procedure

Researchers and practitioners are invited to submit on or before January 16, 2023, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by February 20, 2023 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by March 26, 2023, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Contemporary Approaches of Digital Marketing and the Role of Machine Intelligence. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2023.



Important Dates

January 16, 2023: Proposal Submission Deadline
March 26, 2023: Full Chapter Submission


Inquiries

Afzal Sayed Munna
University of Sunderland in London
Afzal.Munna@sunderland.ac.uk

Md Sadeque Imam Shaikh
University of Wales Trinity Saint David
m.shaikh@uwtsd.ac.uk

Dr. Baha Uddin Kazi
Toronto Metropolitan University
bahauddin.kazi@ryerson.ca



Classifications


Business and Management; Computer Science and Information Technology; Education; Science and Engineering
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