We feel that such cumulative testing gives information system researchers a valuable tool for theory-building. His current research interests include telecommunication technologies, IT strategy, and MIS measures. in Management Information Systems from the University of Houston.
The use of these three conforms to the notion of triangulation in research methods.
The user information satisfaction measure is employed to illustrate the application of our methodology. in Management Information Systems from the University of Houston.
This study provides important insights into patterns of (in)stability of the tree’s performance and its “shelf life”.
The study underlies the importance of continuous validation of prognostic models over time using statistical tools and the timely recalibration of tree models.► We present a new approach for validation using statistical process control.
It can assess both convergent and discriminant validity, but does not provide evidence to rule out common methods bias when the researcher uses only one method in collecting the data.
Common Method Bias is also known as “method halo” or “methods effects”.Prediction models are postulated as useful tools to support tasks such as clinical decision making and benchmarking.In particular, classification tree models have enjoyed much interest in the Biomedical Informatics literature.Many of the instruments to measure information and system quality were developed in the context of mainframe and PC-based technologies of yesteryears.With the proliferation of the Internet and World Wide Web applications, users are increasingly interfacing and interacting with web-based applications.His publications have appeared in Decision Support Systems, Management Science, Journal of Information and Software Technology, Journal of Strategic IS and other journals.