 | 2011 |
|---|
| 11 |       | Adrian Giurca,
Ingo Schmitt,
Daniel Baier:
Performing Conjoint Analysis within a Logic-based Framework.
FedCSIS 2011: 261-268 |
| 2010 |
|---|
| 10 | | Daniel Baier,
Ines Daniel:
Image Clustering for Marketing Purposes.
GfKl 2010: 487-494 |
| 9 | | Alexander Sänn,
Daniel Baier:
Lead User Identification in Conjoint Analysis Based Product Design.
GfKl 2010: 521-528 |
| 8 | | Sebastian Selka,
Daniel Baier,
Michael Brusch:
Improving the Validity of Conjoint Analysis by Additional Data Collection and Analysis Steps.
GfKl 2010: 529-536 |
| 2008 |
|---|
| 7 | | Samah Abu-Assab,
Daniel Baier:
Designing Products Using Quality Function Deployment and Conjoint Analysis: A Comparison in a Market for Elderly People.
GfKl 2008: 515-526 |
| 6 | | Michael Brusch,
Daniel Baier:
Analyzing the Stability of Price Response Functions: Measuring the Influence of Different Parameters in a Monte Carlo Comparison.
GfKl 2008: 527-535 |
| 5 | | Said Esber,
Daniel Baier:
Real Options in the Assessment of New Products.
GfKl 2008: 537-544 |
| 2007 |
|---|
| 4 | | Michael Brusch,
Daniel Baier:
Conjoint Analysis for Complex Services Using Clusterwise Hierarchical Bayes Procedures.
GfKl 2007: 431-438 |
| 3 | | Matthias J. Kaiser,
Daniel Baier:
Scenario Evaluation Using Two-mode Clustering Approaches in Higher Education.
GfKl 2007: 665-672 |
| 2005 |
|---|
| 2 | | Daniel Baier,
Michael Brusch:
Improving the Predictive Validity of Quality Function Deployment by Conjoint Analysis: A Monte Carlo Comparison.
OR 2005: 619-624 |
| 1 | | Sabine Schmidt,
Daniel Baier:
System Dynamics Based Prediction of New Product Diffusion: An Evaluation.
OR 2005: 625-630 |
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