The contribution of this research is three-fold. First, we
conceptualise and measure gender in different environments
and model the impact of these differences on shopping
motivation and purchase intention. This is important because
there is no empirical evidence that supports the status quo,
that is, the hypothesis that a consumer’s gender is the same
offline and online. The measurement of gender in this way
has also not been done before. Furthermore, marketers may
be incorrectly assuming that, in the design of their strategies,
no account should be taken of gender differences. Because
technology-mediated channels are typically targeted towards
one or both genders (Rodgers and Harris, 2003), this study
will also help developers to understand the different ways
in which males and females may exhibit cross-gender
perceptions of techno-consumption. This could provide
further insight into some of the key situations that drive
men and women to use technology-mediated channels and
help digital marketers increase the value of their products
or services (Smith and Whitlark, 2001) as well as optimise
the online experience.