Reconceptualizing System Usage: An Approach and Empirical Test

  • Authors:
  • Andrew Burton-Jones;Detmar W. Straub

  • Affiliations:
  • Management Information Systems Division, Sauder School of Business, University of British Columbia, 2053 Main Mall, Vancouver BC, V6T 1Z2 Canada;Department of Computer Information Systems, J. Mack Robinson College of Business Administration, Georgia State University, Box 4015, Atlanta, Georgia 30302

  • Venue:
  • Information Systems Research
  • Year:
  • 2006

Quantified Score

Hi-index 0.00

Visualization

Abstract

Although DeLone, McLean, and others insist that system usage is a key variable in information systems research, the system usage construct has received little theoretical scrutiny, boasts no widely accepted definition, and has been operationalized by a diverse set of unsystematized measures. In this article, we present a systematic approach for reconceptualizing the system usage construct in particular nomological contexts. Comprising two stages, definition and selection, the approach enables researchers to develop clear and valid measures of system usage for a given theoretical and substantive context. The definition stage requires that researchers define system usage and explicate its underlying assumptions. In the selection stage, we suggest that system usage be conceptualized in terms of its structure and function. The structure of system usage is tripartite, comprising a user, system, and task, and researchers need to justify which elements of usage are most relevant for their study. In terms of function, researchers should choose measures for each element (i.e., user, system, and/or task) that tie closely to the other constructs in the researcher's nomological network. To provide evidence of the viability of the approach, we undertook an empirical investigation of the relationship between system usage and short-run task performance in cognitively engaging tasks. The results support the benefits of the approach and show how an inappropriate choice of usage measures can lead researchers to draw opposite conclusions in an empirical study. Together, the approach and the results of the empirical investigation suggest new directions for research into the nature of system usage, its antecedents, and its consequences.