Organizational slack gives companies the opportunity to meettheir need for increased information processing capacity by allocatingresources for the development of information systems [63]. Conversely,the information processing capacity obtained from systemsdevelopment may be constrained due to the lack of availability ofresources. The information processing capacity provided by a datawarehousing solution is influenced by its architecture. Thus, thechoice of architecture is constrained by the availability of slackresources.When faced with greater constraints on resources, an organizationmay select an architecture that requires fewer resources. For instance,many organizations with a limited budget may choose an IDM over anEDW architecture because it requires a smaller investment ofresources [5]. Kimball et al. [52] and Mimno [64] state that the abilityto build a data warehouse with relatively fewer resources leads firmsto implement a DBA rather than an EDW architecture. Thus, resourceconstraints influence the data warehouse architecture selected.Hypothesis 5A (H5A). Organizations with low resource availabilityare more likely to select an IDM than an EDW architecture.Hypothesis 5B (H5B). Organizations with low resource availabilityare more likely to select a DBA than an EDW architecture.