In general, perceptions of information systems (IS) success have been investigated within two primary research streams-the user satisfaction literature and the technology acceptance literature. These two approaches have been developed in parallel and have not been reconciled or integrated. This paper develops an integrated research model that distinguishes beliefs and attitudes about the system (i.e., object-based beliefs and attitudes) from beliefs and attitudes about using the system (i.e., behavioral beliefs and attitudes) to build the theoretical logic that links the user satisfaction and technology acceptance literature. The model is then tested using a sample of 465 users from seven different organizations who completed a survey regarding their use of data warehousing software. The proposed model was supported, providing preliminary evidence that the two perspectives can and should be integrated. The integrated model helps build the bridge from design and implementation decisions to system characteristics (a core strength of the user satisfaction literature) to the prediction of usage (a core strength of the technology acceptance literature).
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 presents a meta-analysis that investigates five moderators (task, tool, the type of group, the size of the group, and facilitation) and their influences on the overall effects of group support systems (GSS). Results show that process satisfaction is higher for idea-generation tasks than for decision-making tasks. The GSS tool (that is, the use of level 1 or level 2 GSS) influences decision quality. Level 1 tools support the exchange of information, whereas, level 2 tools are designed to aid in decision-making. Decision quality is higher when using level 2 tools, however, there is no difference in the number of ideas generated when using level 1 or level 2 tools. Decision quality is lower for virtual teams, but there is no difference in the number of ideas generated between virtual teams and face-to-face teams using GSS. Group size is an important moderator when measuring decision time and satisfaction with process. The former is shorter for larger groups, and the latter is higher for larger groups. Process facilitation leads to higher decision quality and higher satisfaction with the process. These results illustrate the importance of examining the moderators of GSS use and the viability of conducting a meta-analysis to investigate a large body of research with seemingly conflicting or equivocal results.
Many previous papers have lamented the fact that the findings of past group support systems (GSS) research have been inconsistent. This paper develops a new model for interpreting GSS effects on performance (a Fit-Appropriation Model), which argues that GSS performance is affected by two factors. The first is the fit between the task and the GSS structures selected for use (i. e., communication support and information processing support). The second is the appropriation support the group receives in the form of training, facilitation, and software restrictiveness to help them effectively incorporate the selected GSS structures into their meeting process. A meta-analysis using this model to organize and classify past research found that when used appropriately (i.e., there is a fit between the GSS structures and the task, and the group receives appropriation support), GSS use increased the number of ideas generated, took less time, and led to more satisfied participants than if the group worked without the GSS. Fitting the GSS to the task had the most impact on outcome effectiveness (decision quality and ideas), while appropriation support had the most impact on the process (time required and process satisfaction). The authors conclude that when using this theoretical lens, the results of GSS research do not appear inconsistent.
From 1990 through 1998, First American Corporation (FAC) changed its corporate strategy from a traditional banking approach to a customer relationship-oriented strategy that placed FAC's customers at the center of all aspects of the company s operations. The transformation made FAC an innovative leader in the financial services industry This case study describes FAC's transformation and the way in which a data warehouse called VISION helped make it happen. FAC's experiences suggest lessons for managers who plan to use technology to support changes that are designed to significantly improve organizational performance. In addition, they raise interesting questions about the means by which information technology can be used to gain competitive advantage.