Understanding the successful adoption of information technology is largely based upon understanding the linkages among quality, satisfaction, and usage. Although the satisfaction and usage constructs have been well studied in the information systems literature, there has been only limited attention to information and system quality over the past decade. To address this shortcoming, we developed a model consisting of nine fundamental determinants of quality in an information technology context, four under the rubric of information quality (the output of an information system) and five that describe system quality (the information processing system required to produce the output). We then empirically examined the aptness of our model using a sample of 465 data warehouse users from seven different organizations that employed report-based, query-based, and analytical business intelligence tools. The results suggest that our determinants are indeed predictive of overall information and system quality in data warehouse environments, and that our model strikes a balance between comprehensiveness and parsimony. We conclude with a discussion of the implications for both theory and the development and implementation of information technology applications in practice.

:This paper develops a framework consisting of five core strategies or organizational postures vis-à-vis end-user computing (euc). Following a description of each of the strategies, the authors employed a two-step process to represent (1) how to effectively implement a particular euc strategy, and (2) when to adopt a particular euc strategy. The first step, based on some field observations, resulted in a descriptive profiling of the euc strategies via the management attributes of policy setting and planning, support, and control. The second step produced a prescriptive timing with respect to the phases of euc strategy evolution. The integrative framework that resulted from this two-step process was based on the premise that euc technology adoption follows a learning curve phenomenon. In essence, such a framework should serve as a tool, useful to the practitioner in coping with the dynamic environment surrounding the management of end-user computing.