CFP: Significance of Big Data Analytics in Electronic Commerce

Guest Editors

Neeraj Kumar, Thapar University, India 

Seungmin Rho, Sejong University, South Korea

Mamoun Alazab, Charles Darwin University, Australia

Aims and Scope

Big Data Analytics (BDA) is an innovative and fast-evolving field in the business environment led by both private and public enterprises patiently waiting for investment returns. In recent years, firms around the world have been moving forward with their data initiative techniques through big-data projects that have transformed the company for economically efficient. Usually, Big data is used as a disruptive technology to reorganize businesses in many fields consisting of vast volumes of data. Moreover, Big data application also promises to provide new business models, processes, and innovative enterprise strategies with unprecedented opportunities. In the last few years, organizations worldwide have advanced their BDA initiatives through the realization of data management techniques for the improvement of their enterprise. Using Big data in e-commerce, both structured and unstructured data, presents valuable information that helps in optimizing customer services. Some of the most important aspects of big data in e-commerce are building a better customer experience, predictive analysis, increased personalization, optimized pricing, improved sales, and demand forecasting.  

Implementing big data-based strategies in a multi-channel platform for online retailers will become a game-changer, reaping more significant profits. Integration of forecasting tools and algorithms along with historical data, can enhance the demand forecasting, enabling the e-commerce industry to track and identifying patterns and other factors on a real-time basis. Since the latest web-based technologies are providing a significant impact in generating dynamic websites for the e-commerce sector, the influence of big data will enable the progress of personalized e-commerce experience more effectively. Further, unveiling the potential of big data by using artificial and machine learning renders in creating endless possibilities providing a precise level of insights in e-commerce. The purpose of this special issue is to create a platform for researchers to address their new research findings, ideas, methods, and other strategies in the field of big data analytics to enhance E-commerce.


Topics of interest for the special issue include, but are not limited to, the following:

  • Redesigning of e-commerce using big data initiatives
  • Management of customer behavior and preferences in online shopping by big data analysis
  • Big data applications for overcoming economic problems in e-commerce
  • Innovative e-commerce business models with big data strategies
  • Limitations in integrating e-commerce models with big data analytics
  • A brief discussion on big data strategy and innovation technology in e-commerce
  • Influence of big data analytics and cloud computing in e-commerce industry
  • A comparative study on online to offline business models with big data analytics
  • Contribution of Big data based new challenges and opportunities for information revolution
  • Lucrative ways to use big data in ecommerce
  • Big Data for building a better customer experience for e-commerce business
  • Future directions of application of Big Data for ecommerce

Important dates

Paper submission deadline: 20 July 2021

Author notification: 23 September 2021

Revised paper submission: 21 November 2021

Final acceptance 30 January 2021