@incollection{KrauscheBaier, author = {Krausche, Daniel and Baier, Daniel}, title = {A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-662-44982-0}, doi = {10.1007/978-3-662-44983-7}, pages = {261 -- 270}, language = {en} } @misc{DanielFrostBaier, author = {Daniel, Ines and Frost, Sarah and Baier, Daniel}, title = {Market Segmentation Using Color Information of Images}, series = {International Journal of Electronic Commerce Studies}, volume = {6}, journal = {International Journal of Electronic Commerce Studies}, number = {1}, issn = {2073-9729}, doi = {10.7903/ijecs.1400}, pages = {137 -- 144}, language = {en} } @inproceedings{DanielBaier, author = {Daniel, Ines and Baier, Daniel}, title = {Towards Lifestyle Segmentation via Uploaded Images from Surveys and Social Networks}, series = {International Conference on Information Systems (ICIS 2015), Fort Worth, Texas, USA, 13-16 December 2015, Vol. 6}, booktitle = {International Conference on Information Systems (ICIS 2015), Fort Worth, Texas, USA, 13-16 December 2015, Vol. 6}, publisher = {Curran}, address = {Red Hook, NY}, isbn = {978-1-5108-1916-0}, pages = {4906 -- 4915}, language = {en} } @misc{LoefflerBaier, author = {L{\"o}ffler, Stephanie and Baier, Daniel}, title = {Bayesian Conjoint Analysis in Water Park Pricing: A New Approach Taking Varying Part Worths for Attribute Levels into Account}, series = {Journal of Service Science and Management}, volume = {8}, journal = {Journal of Service Science and Management}, number = {1}, issn = {1940-9893}, pages = {46 -- 56}, abstract = {Nowadays, the application of conjoint analysis for measuring customers' preferences for goods and services is wide-spread in marketing. A sample of customers is confronted with fictive offers and asked for evaluations. From these responses part worths for attribute levels of the offers are estimated and used to develop an optimal design and pricing for an offer. However, especially in tourism, it can be observed that attribute importance not only differs between customers but also varies over a single customer's usage situations and her/his mood. In this paper, we propose a measurement approach that respects this variation. Part worths are stochastically modeled and estimated using Bayesian procedures. The approach is applied to design and price a water park.}, language = {en} } @inproceedings{GiurcaBaierSchmitt, author = {Giurca, Adrian and Baier, Daniel and Schmitt, Ingo}, title = {What is in a Like? : Preference Aggregation on the Social Web}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Heidelberg}, isbn = {978-3-662-44982-0}, doi = {10.1007/978-3-662-44983-7_38}, pages = {435 -- 444}, language = {en} } @incollection{BaierReseSchreiber, author = {Baier, Daniel and Rese, Alexandra and Schreiber, Stefanie}, title = {Analyzing Online Reviews to Measure Technology Acceptance at the Point of Scale: The Case of IKEA}, series = {Successful Technological Integration for Competitive Advantage in Retail Settings}, booktitle = {Successful Technological Integration for Competitive Advantage in Retail Settings}, editor = {Pantano, Eleonora}, publisher = {IGI Global}, address = {Hershey, PA}, isbn = {978-1-4666-8297-9}, doi = {10.4018/978-1-4666-8297-9.ch008}, pages = {168 -- 189}, language = {en} } @inproceedings{SchreiberBaier, author = {Schreiber, Stefanie and Baier, Daniel}, title = {Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Berlin [u.a.]}, isbn = {978-3-662-44982-0}, doi = {10.1007/978-3-662-44983-7_41}, pages = {465 -- 474}, language = {en} } @incollection{BoettcherNaundorfBaier, author = {B{\"o}ttcher, Thomas and Naundorf, Robert and Baier, Daniel}, title = {A Statistical Software Package for Image Data Analysis in Marketing}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Berlin, Heidelberg}, isbn = {978-3-662-44982-0}, doi = {10.1007/978-3-662-44983-7}, pages = {217 -- 227}, language = {en} } @inproceedings{BaierPełkaRybickaetal., author = {Baier, Daniel and Pełka, Marcin and Rybicka, Aneta and Schreiber, Stefanie}, title = {Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices}, series = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, booktitle = {Data Science, Learning by Latent Structures, and Knowledge Discovery}, editor = {Lausen, Berthold and Krolak-Schwerdt, Sabine and B{\"o}hmer, Matthias}, publisher = {Springer}, address = {Heidelberg [u.a.]}, isbn = {978-3-662-44983-7}, doi = {10.1007/978-3-662-44983-7_18}, pages = {205 -- 216}, language = {en} }