A Context Aware Information Quality Framework

In an age dominated by information, information quality (IQ) is one of the most important factors to consider for obtaining competitive advantages. The general approach to the study of IQ has offered numerous management approaches, IQ frameworks and list of IQ criteria. There are many IQ measures proposed for several application domains; however organizations still are challenged to apply IQ frameworks and measurement approaches within a specific context. An analysis of related literature reveals that most approaches are context dependent, although the contextual dimension is usually not represented in IQ frameworks. With this paper we aim to address this limitation and extend current work on IQ frameworks. We base our research on the theoretical concept of semiotics with emphasizes on pragmatics. Subsequently we propose a context-aware IQ framework that can be applied in various contexts. Our framework is applied in an experimental setting that shows that context is an important consideration for IQ assessment. Our result can be used in further research studies or can assist practitioners to develop suitable IQ measures. Based on these results we aim to develop a context-aware IQ measurement tool.