Digital Business and marketing: Allsafe

Digital Business and marketing: Allsafe

Our daily use of the web, social media, smart phones, and sensor technologies is creating a digital trail of data from which one can formulate a trace of our movements, interactions, and even emotions in both offline and online environments. Such large-scale and fine-grained digital traces of individual behavior can be highly informative in examining not only what people say and what people do, but also what people are planning to do through their own behavior or the behavior of their friends that they interact with. The insights gained from such digitized behavioral traces can facilitate business transformations in various domains, such as operation, marketing, finance, healthcare, and urban transportation.

Research questions for this study:

  1. What is the business value of consumer online click stream data for dynamic pricing for offline products?
  2. How and why does the improved IT and customer information advance firms’ revenue management?
  3. Consequently, what are the impacts on firm performance?

The research uses methods ranging from statistics, econometrics, machine learning, and field experiments. This project (one full time Phd Position) is funded by Allsafe, via the Erasmus Trust Fund.