  We provide a version of the stochastic Fubini's theorem which does not depend
on the particular stochastic integrator chosen as far as the stochastic
integration is built as a continuous linear operator from an $L^p$ space of
Banach space-valued processes (the stochastically integrable processes) to an
$L^p$ space of Banach space-valued paths (the integrated processes). Then, for
integrators on a Hilbert space $H$, we consider stochastic convolutions with
respect to a strongly continuous map $R:(0,T]\rightarrow L(H)$, not necessarily
a semigroup. We prove existence of predictable versions of stochastic
convolutions and we characterize the measurability needed by operator-valued
processes in order to be convoluted with $R$. Finally, when $R$ is a
$C_0$-semigroup and the stochastic integral provides continuous paths, we show
existence of a continuous version of the convolution, by adapting the
factorization method to the present setting.
