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This paper analyzes the importance of recommender systems for B2C e-Commerce businesses, using extensive literature review as well as a consumer survey. Readers will gain a basic understanding on how the technology behind the recommendation works, how competitiveness in e-Commerce can be defined and what the consumer perspective on recommender systems is. The paper will ultimately provide valuable insights into how recommender systems can create a major competitive advantage for online retailers and why an online-shop without a recommender engine will struggle to stay or become competitive.
In this paper, different factors influencing the perceived data security (PDS) of online shoppers are analyzed. For this purpose, the authors first conduct a literature review and later analyze the results of an empirical study, by applying a regression analyses. Based on the findings of this research, the paper identified the frequency of gathering information on the topic of data security and the experience of being hacked as factors with a significant negative impact on PDS. In addition, a well perceived benefit and, in special cases, an e-Commerce business’ brand can positively influence PDS of customers. In conclusion, the paper delivers insights into the perceptions of data security and delivers some suggestions on how a company could improve the PDS of their customers.