Information System Use--Related Activity: An Expanded Behavioral Conceptualization of Individual-Level Information System Use.

Author List: Barki, Henri; Titah, Ryad; Boffo, Celine;
Information Systems Research, 2007, Volume 18, Issue 2, Page 173-192.
Despite calls for improving current approaches to conceptualizing and measuring the construct of information system use, theoretical advances in this regard are still insufficient. The present paper proposes to expand the focus of existing conceptualizations that exclusively focus on technology interaction behaviors via the construct of IS use-related activity. Based on task-technology fit and activity theory, IS use-related activity is conceptualized as a second-order aggregate construct that comprises both technology interaction behaviors, as well as activities users undertake to adapt the task-technology-individual system. A multiple-indicators and multiple-causes analysis of data collected from 190 users in 21 organizations is found to support the proposed conceptualization.
Keywords: formative constructs; IS implementation; IS use; user adaptation; user learning
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List of Topics

#292 0.174 information research literature systems framework review paper theoretical based potential future implications practice discussed current concept propositions findings provided extant
#174 0.157 use support information effective behaviors work usage examine extent users expertise uses longitudinal focus routine revealed volume constructs contributes operations
#263 0.132 instrument measurement factor analysis measuring measures dimensions validity based instruments construct measure conceptualization sample reliability development develop responses assess use
#254 0.090 level levels higher patterns activity results structures lower evolution significant analysis degree data discussed implications stable cluster exist relationships identify
#124 0.051 validity reliability measure constructs construct study research measures used scale development nomological scales instrument measurement researchers developed validation discriminant results