Impact Score 0.99
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:
Paper submission deadline: 20 July 2021
Author notification: 23 September 2021
Revised paper submission: 21 November 2021
Final acceptance 30 January 2021