Dynamic Pricing of services has become the norm for many young service industries - especially in today’s volatile markets. Steffen Christ shows how theoretic optimization models can be operationalized by employing self-learning strategies to construct relevant input variables, such as latent...

Following the increasing popularity of personalized pricing, there is a growing concern from customers and policy makers regarding fairness considerations. This paper studies the problem of dynamic pricing with unknown demand under two types of fairness constraints: price fairness and demand...

We provide an axiomatic approach to a belief formation process in an informational environment characterized by limited, heterogenous and differently precise information. For a list of previously observed cases an agent needs to express her belief by assigning probabilities to possible outcomes....

An agent wants to derive her belief over outcomes based on past observations collected in her database (memory). There is well establish evidence in the psychology and marketing literature that agents consistently fail (or choose not) to process all available information. An agent might be...

We evaluate the quality of beliefs elicited from online respondents, comparing several characteristics of two widely used elicitation mechanisms (the Binarized Scoring Rule - BSR - and a stochastic variation of the Becker-deGroot-Marshak mechanism -BDM) against a flat fee baseline for a variety...