Author List: Burton-Jones, Andrew; Straub, Jr. Detmar W.;
Information Systems Research, 2006, Volume 17, Issue 3, Page 228-246.
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.
Keywords: IS Success; MEASURE; PERFORMANCE; System usage; theoretical conceptualization
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#124 0.214 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results
#17 0.203 empirical model relationships causal framework theoretical construct results models terms paper relationship based argue proposed literature issues assumptions provide suggest
#153 0.129 usage use self-efficacy social factors individual findings influence organizations beliefs individuals support anxiety technology workplace key outcome behavior contextual longitudinal
#141 0.093 information approach article mis presents doctoral dissertations analysis verification management requirements systems list needs including user requirement systematic observation structured
#102 0.090 choice type functions nature paper literature particular implications function examine specific choices extent theoretical design discussion value widely finally adopted
#241 0.064 information stage stages venture policies ewom paper crowdfunding second influence revelation funding cost important investigation ventures session studied electronic multiple