Software as a service (Saa S) is software that is owned, delivered and managed remotely by one or more providers.
The provider delivers software based on one set of common code and data definitions that is consumed in a one-to-many model by all contracted customers at anytime on a pay-for-use basis or as a subscription based on use metrics.
In this paper, we present a systematic process for developing high quality Saa S and highlight the essentiality of commonality and variability (C&V) modeling to maximize the reusability.
We first define criteria for designing the process model and provide a theoretical foundation for Saa S; its meta-model and C&V model.
Said bibliographical review provides the theoretical foundations for the proposed hypotheses and the eventual proposal for a research model to be formulated.
Subsequently, the empirical study methodology used to test the various hypotheses is described and the obtained results are presented.
Notwithstanding, as will be seen in the following section, research directly related to cloud system adoption and use in companies and organizations is more scarce.
This is the reason why the present study seeks to develop a research model based on the technology acceptance literature that combines several variables proven to be relevant by prior studies.
An empirical study has been conducted to test the proposed hypotheses focused on Spanish companies that consider Saa S to be a strategic technology for the execution of their activities.
The remainder of the paper is structured as follows: first, a review is conducted of the prior literature that begins with an analysis of some especially widespread technology acceptance models and then more specifically focuses on papers that are cloud computing-related.