  In this work we consider a stochastic movement process with random resets to
the origin followed by a random residence time there before the walker restarts
its motion. First, we study the transport properties of the walker, we derive
an expression for the mean square displacement of the overall process and study
its dependence with the statistical properties of the resets, the residence and
the movement. From this general formula, we see that the inclusion of the
residence after the resets is able to induce super-diffusive to sub-diffusive
(or diffusive) regimes and it can also make a sub-diffusive walker reach a
constant MSD or even collapse. Second, we study how the reset-and-residence
mechanism affects the first arrival time of different search processes to a
given position, showing that the long time behavior of the reset and residence
time distributions determine the existence of the mean first arrival time.
