Accounting information systems: essential concepts and applications
Accounting information systems: essential concepts and applications
Task characteristics, decentralization, and the success of hospital information systems
Information and Management
Quality end user-developed applications: some essential ingredients
ACM SIGMIS Database
Task uncertainty and the use of computer technology
Information and Management
Is user satisfaction a valid measure of system effectiveness?
Information and Management
Task-technology fit and individual performance
MIS Quarterly
Utilization and user satisfaction in end-user computing: a task contingent model
Information Resources Management Journal
The effects of user participation on the design of accounting information systems
Information and Management
Designing Complex Organizations
Designing Complex Organizations
Journal of Management Information Systems
Market reactions to E-business outsourcing announcements: an event study
Information and Management
Electronic Commerce Research and Applications
Task Design, Motivation, and Participation in Crowdsourcing Contests
International Journal of Electronic Commerce
Management information systems and strategic performances: The role of top team composition
International Journal of Information Management: The Journal for Information Professionals
Performance measurement systems and environmental uncertainty effect on profitability
International Journal of Business Information Systems
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This study investigated the fit between contingency variables (e.g. task uncertainty and decentralization) in accounting information systems (AIS); a good fit is assumed to improve user satisfaction. We divided task uncertainty into two dimensions: variability and analyzability. We chose information scope, timeliness, and aggregation as the AIS characteristics to be studied within each dimension. User satisfaction was adopted as a surrogate to measure the performance of AIS. The responses of 126 managers were drawn from a cross-industry sample in Taiwan. Multiple regression models were employed to test the hypotheses. The results of the empirical test led us to two results: (1) broad-scope information (external environment or future-oriented information) promotes user satisfaction in high task variability situations, and (2) in a highly decentralized organization, broad-scope, timely, and aggregated information will also facilitate user satisfaction.