The ability to measure the level of customer satisfaction with online shopping is essential in gauging the success and failure of e-commerce. To do so, Internet businesses must be able to determine and understand the values of their existing and potential customers. Hence, it is important for IS researchers to develop and validate a diverse array of metrics to comprehensively capture the attitu...

This paper reports on a study of valuation of multiple stream quality improvements in an acid-mine degraded watershed in Western Pennsylvania. A technique extensively used in marketing research, conjoint (CJ) analysis, is used in conjunction with a random utility model (RUM) to establish shadow valuations for various combinations of stream quality improvements in two streams. The technique show...

We show that conjoint analysis, a popular multi-attribute preference assessment technique used in market research, is a well suited tool to simultaneously evaluate a multitude of gamut mapping algorithms with a psycho-visual testing load not much higher than in conventional psycho-visual tests of gamut mapping algorithms. The gamut mapping algorithms that we test using conjoint analysis are der...

Conjoint analysis has received considerable attention as a technique for measuring customer preferences through utility tradeoffs among products and services. This paper shows how the method can be applied to the area of software architecture to analyze architectural tradeoffs among quality attributes. By eliciting customers utilities through conjoint analysis, software engineers can identify a...