Title: Building a Generic Big Data Analytics Framework for E-commerce in Developing Countries

Issue Number: Vol. 8, No. 4
Year of Publication: Dec - 2018
Page Numbers: 280-287
Authors: Christina Albert Rayed Assad
Journal Name: International Journal of Digital Information and Wireless Communications (IJDIWC)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002526


In the current era, big data have developed in many development areas of certain computing technologies. The big data analytics present broad range of benefits to the developing countries in e-commerce that can support and automate decision-making processes. Big data analytics have great business importance to markets. Searching, aggregating, and cross-referencing large data sets in real-time enables gaining valuable insights from the data. This paper presents a generic big data analytics framework for e-commerce in developing countries to gain the benefits of big data analytics and increase the commercial value in these markets. This generic framework shows how e-commerce can use big data analytics related to different factors such as security concerns, social, cultural legal environments, and personal privacy. Also, these factors emerge with smart environments and device technologies in order to sustain the e-commerce. The generic framework of using big data analytics in developing countries enables better data-driven decision making. Also this framework is presenting innovative uses of big data analytics to improve the main functions in e-commerce such as customer acquisition, customer retention, loyalty, trust and also supporting the supply chain management and decision making.