The Impact of Big Data on Knowledge Management Systems in Romanian e-Commerce Retailers.

This main goal of the paper is to analyse the concept of big data in the theoretical framework of knowledge management and assess the implications of developing such a connection. We present the most important conceptual definitions and characteristics of big data and assess the possibility to integrate this concept within the traditional theoretical models of knowledge management. A secondary objective of our paper is to lay out the prerequisites of developing new knowledge management strategies according to the needs of the digital economy. Authors draw from the e-commerce experience in using big data for improving the decision-making process. We have collected data from a number of ecommerce SMEs that are acting on the Romanian online fashion retail market. An analysis of the impact of demographics and sales data on firms' growth strategies was conducted. Simultaneously, our study looked at how business intelligence systems used by SMEs were applied in order to analyse the aforementioned data. Conclusions drawn from the study show the most important and relevant benefits and best practices concerning the integration of big data into SMEs knowledge management strategies. The main focus of our paper is on identifying the best ways to improve net results through proper use of knowledge obtained from big data. We consider that our paper might be of interest for other people attending ECKM 2018, mostly for those participating with paper presentations concerning this exciting and challenging topic of big data. [ABSTRACT FROM AUTHOR]