Use and productivity in personal computing
ICIS '89 Proceedings of the tenth international conference on Information Systems
An introduction to measuring and understanding the learning process
Computers & Education
Context and consciousness: activity theory and human-computer interaction
Context and consciousness: activity theory and human-computer interaction
Activity theory: implications for human-computer interaction
Context and consciousness
Power, politics, and MIS implementation
Communications of the ACM
Concepts of cognition and consciousness: four voices
ACM SIGDOC Asterisk Journal of Computer Documentation
Leveraging Legacy System Dollars for E-Business
IT Professional
Embedded Organizational Events: the Units Ofprocess in Organization Science
Organization Science
Research Report. Learning From Goal-Directed Error Recovery Strategy
Information Systems Research
Combining IS Research Methods: Towards a Pluralist Methodology
Information Systems Research
A Theoretical Integration of User Satisfaction and Technology Acceptance
Information Systems Research
Reconceptualizing System Usage: An Approach and Empirical Test
Information Systems Research
Journal of Management Information Systems
Research Commentary---Seeking the Configurations of Digital Ecodynamics: It Takes Three to Tango
Information Systems Research
Information Systems Research
Identifying and Testing the Inhibitors of Technology Usage Intentions
Information Systems Research
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Information systems use represents one of the core concepts defining the discipline. In this article, we develop a rich conceptualization of IS use patterns as individuals' emotions, cognition, and behaviors while employing an information technology to accomplish a work-related task. By combining two novel perspectives--the affect--object paradigm and automaticity--with coping theory, we theorize how different patterns appear and disappear as a result of different IT events--expected and discrepant--as well as over time, and how these patterns influence short-term performance. In order to test our hypotheses, we conducted two studies, one qualitative and the other quantitative, that combined different methods (e.g., open-ended questions, physiological data, videos, protocol analysis) to study the influence of expected and discrepant events. The synergistic properties of the two studies demonstrate the existence of two IS use patterns, automatic and adjusting. Most interactions are automatic, and adjusting patterns, triggered by discrepant IT events, fade over time and transition into automatic ones. Further, automatic patterns result in enhanced short-term performance, while adjusting ones do not. Our conceptualization of IS use patterns is useful because it addresses important questions (such as why negative IT perceptions persist) and clarifies that it is how (rather than how much) people use IT that is pertinent for performance.