RT Journal Article
T1 Modeling signal-based decisions in online search environments: A non-recursive forward-looking approach
A1 Tavana, Madjid
A1 Santos Arteaga, Francisco Javier
A1 Di Caprio, Debora
A1 Tierney, Kevin
AB Consider a rational decision maker (DM) who must acquire a finite amount of information sequentially online from a set of products. The DM receives signals on the distribution of the product characteristics. Each time an observation is acquired, DMs redefine the probability of improving upon the products observed. The resulting information acquisition process depends on the values of the characteristics observed, the number and potential realizations of the remaining observations, and the type of signal received. We construct two functions determining the information acquisition behavior of DMs and illustrate numerically the importance of the characteristic on which signals are issued.
PB ScienceDirect
SN 0378-7206
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/113966
UL https://hdl.handle.net/20.500.14352/113966
LA eng
DS Docta Complutense
RD 10 abr 2025