Keywords : artificial intelligence, cross-border ecommerce, consumer behavior, blockchain
Data has become one of the most significant instruments in e-commerce innovation. Benefits to the entire society can be summarized as following: from the government’s perspective – to assess the impact of e-commerce to the economy; for merchants – to understand consumers’ needs; and for consumers – to be offered with the right product he/she is looking for. The digital revolution in the past five years has shown the need to offer more differentiated services than the physical stores, when consumers are not able to try and touch products. It is for this reason that e-commerce has continuously developed and transformed Research Online, Purchase Offline into a true experience. Considering the future of e-commerce is to enhance economic development and growth, this research will discuss the disruption of Research and Development through big data. The core objective of this research is to propose a predictive model to deeply understand consumer behavior by analyzing new regulations and transaction records.
The learning outcomes are as follows: identify the challenges and opportunities in an ecommerce start-up B; understand the issues of operational sustainability of ecommerce start-up; evaluate the sustainability of hyperlocal models to ecommerce start up; and implement innovative solutions to address the issues of e-business models.