Nonlinear and Noncompensatory Models in User Information Satisfaction Measurement
Authors: Sethi, Vikram; King, Ruth C.
Journal: Information Systems Research (1999)
DOI: 10.1287/isre.10.1.87
<jats:p> This study applies nonlinear and noncompensatory models to examine how users evaluate their satisfaction with their information systems (IS) environment. Several instruments have been developed in the literature to measure user information satisfaction (UIS). These instruments measure user satisfaction by asking respondents to rate their satisfaction/dissatisfaction with a variety of IS attributes; e.g., EDP services, EDP staff, information product, and involvement in IS development. These responses are then combined linearly to develop a surrogate measure for UIS satisfaction. This linear model is derived from Anderson's information theory (Anderson 1981) and based on the assumption that each attribute judgment has a conditionally monotone relationship with the UIS evaluation. However, the literature on attitude formation and decision making suggests that other nonlinear and noncompensatory models are available to decision makers for combining information and are used frequently in attitude formation. In this study, we use two sets of data to examine the linear model and five nonlinear models of decision making to evaluate whether nonlinear models are more effective in p…