Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications
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Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications

Saurabh Bilgaiyan (Kalinga Institute of Industrial Technology (KIIT), India), Jagannath Singh (Kalinga Institute of Industrial Technology (KIIT), India) and Himansu Das (Kalinga Institute of Industrial Technology (KIIT), India)
Projected Release Date: June, 2022|Copyright: © 2022 |Pages: 300
DOI: 10.4018/978-1-6684-4969-1
ISBN13: 9781668449691|ISBN10: 1668449692|EISBN13: 9781668449714|ISBN13 Softcover: 9781668449707
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Description & Coverage
Description:

Recently, there has been an increase in the number of e-commerce users. This has caused online shopping to become a new and challenging market for e-commerce vendors. Security, inventory management, reliability, and performance of e-commerce websites are a few of the challenges associated with the rising popularity of e-commerce. On a daily basis, millions of e-commerce transactions are taking place. This generates a huge amount of data that can be used to solve the various challenges of e-commerce. Further study on how this data can be used to address these issues is required to propel businesses forward.

Empirical Research for Futuristic E-Commerce Systems: Foundations and Applications shares experiences and research outcomes on all aspects of intelligent software solutions such as machine learning, nature-inspired computing, and data science for business-to-consumer (B2C) e-commerce. By looking at the exponential growth of the e-commerce market and its popularity, this book also focuses on the current issues, solutions, and future possibilities in the B2C model of e-commerce. Covering a range of critical topics such as online shopping, supply chain management, and blockchain, this reference work is ideal for academic scientists, data scientists, software developers, business experts, researchers, scholars, practitioners, academicians, instructors, and students.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Artificial Intelligence
  • Blockchain
  • Consumer Engagement
  • Consumer Sentiments
  • Digital Communication
  • E-Commerce
  • Online Purchasing
  • Online Shopping
  • Smart Healthcare Systems
  • Supply Chain Management
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