Cloud computing is the next generation in computing, and the next natural step in the
evolution of on-demand information technology services and products. However, only a few studies
have addressed the adoption of cloud computing from an organizational perspective, which have not
proven whether the research model is the best-fitting model. The purpose of this paper is to construct
research competing models (RCMs) and determine the best-fitting model for understanding industrial
organization’s acceptance of cloud services. This research integrated the technology acceptance model
and the principle of model parsimony to develop four cloud service adoption RCMs with enterprise
usage intention being used as a proxy for actual behavior, and then compared the RCMs using
structural equation modeling (SEM). Data derived from a questionnaire-based survey of 227 firms in
Taiwan were tested against the relationships through SEM. Based on the empirical study, the results
indicated that, although all four RCMs had a high goodness of fit, in both nested and non-nested
structure comparisons, research competing model A (Model A) demonstrated superior performance
and was the best-fitting model. This study introduced a model development strategy that can most
accurately explain and predict the behavioral intention of organizations to adopt cloud services.