• Jella Pfeiffer
Part of the Contributions to Management Science book series (MANAGEMENT SC.)


In the previous chapter, we pointed out that although users evaluate IIMT very positively, only a limited number of IIMT are offered. We assume that the main reason for this is that online sellers do not know which IIMT they should offer and what they should exactly look like. We address these two aspects in this chapter. Firstly, we review literature on IDA in the field of human interaction. We discuss several drawbacks of current approaches as well as the resulting requirements for the design of IIMT. Secondly, we break down observed decision-making behavior into typical steps decision makers apply in their decision processes. These steps indicate which IIMT would offer appropriate decision support. Based on these findings, we implement an IIMT-prototype, called INTACMATO in an iterative approach where two qualitative usability studies and implementation phases alternate.


Attribute Level Decision Strategy Collaborative Filter Aspiration Level Attribute Weight 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Lehrstuhl für Wirtschaftsinformatik und BWLJohannes Gutenberg-Universität MainzMainzGermany

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