TY - CHAP A1 - Krausche, Daniel A1 - Baier, Daniel ED - Lausen, Berthold ED - Krolak-Schwerdt, Sabine ED - Böhmer, Matthias T1 - A Game Theoretic Product Design Approach Considering Stochastic Partworth Functions T2 - Data Science, Learning by Latent Structures, and Knowledge Discovery. Studies in Classification, Data Analysis, and Knowledge Organization Y1 - 2015 SN - 978-3-662-44982-0 U6 - https://doi.org/10.1007/978-3-662-44983-7 SP - 261 EP - 270 PB - Springer CY - Berlin, Heidelberg ER - TY - GEN A1 - Daniel, Ines A1 - Frost, Sarah A1 - Baier, Daniel T1 - Market Segmentation Using Color Information of Images T2 - International Journal of Electronic Commerce Studies Y1 - 2015 U6 - https://doi.org/10.7903/ijecs.1400 SN - 2073-9729 VL - 6 IS - 1 SP - 137 EP - 144 ER - TY - CHAP A1 - Daniel, Ines A1 - Baier, Daniel T1 - Towards Lifestyle Segmentation via Uploaded Images from Surveys and Social Networks T2 - International Conference on Information Systems (ICIS 2015), Fort Worth, Texas, USA, 13-16 December 2015, Vol. 6 Y1 - 2015 SN - 978-1-5108-1916-0 SP - 4906 EP - 4915 PB - Curran CY - Red Hook, NY ER - TY - GEN A1 - Löffler, Stephanie A1 - Baier, Daniel T1 - Bayesian Conjoint Analysis in Water Park Pricing: A New Approach Taking Varying Part Worths for Attribute Levels into Account T2 - Journal of Service Science and Management N2 - 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. Y1 - 2015 UR - http://www.scirp.org/journal/PaperInformation.aspx?PaperID=53746 SN - 1940-9893 VL - 8 IS - 1 SP - 46 EP - 56 ER - TY - CHAP A1 - Giurca, Adrian A1 - Baier, Daniel A1 - Schmitt, Ingo ED - Lausen, Berthold ED - Krolak-Schwerdt, Sabine ED - Böhmer, Matthias T1 - What is in a Like? : Preference Aggregation on the Social Web T2 - Data Science, Learning by Latent Structures, and Knowledge Discovery Y1 - 2015 SN - 978-3-662-44982-0 U6 - https://doi.org/10.1007/978-3-662-44983-7_38 SP - 435 EP - 444 PB - Springer CY - Heidelberg ER - TY - CHAP A1 - Baier, Daniel A1 - Rese, Alexandra A1 - Schreiber, Stefanie ED - Pantano, Eleonora T1 - Analyzing Online Reviews to Measure Technology Acceptance at the Point of Scale: The Case of IKEA T2 - Successful Technological Integration for Competitive Advantage in Retail Settings KW - Augmented Reality KW - Technology Acceptance Model (TAM) KW - Technology Acceptance KW - Online Reviews KW - Text Mining KW - Partial Least Squares (PLS) KW - Retail Y1 - 2015 UR - http://www.igi-global.com/gateway/chapter/126370 SN - 978-1-4666-8297-9 U6 - https://doi.org/10.4018/978-1-4666-8297-9.ch008 SP - 168 EP - 189 PB - IGI Global CY - Hershey, PA ER - TY - CHAP A1 - Schreiber, Stefanie A1 - Baier, Daniel ED - Lausen, Berthold ED - Krolak-Schwerdt, Sabine ED - Böhmer, Matthias T1 - Multivariate Landing Page Optimization Using Hierarchical Bayes Choice-Based Conjoint T2 - Data Science, Learning by Latent Structures, and Knowledge Discovery Y1 - 2015 SN - 978-3-662-44982-0 U6 - https://doi.org/10.1007/978-3-662-44983-7_41 SP - 465 EP - 474 PB - Springer CY - Berlin [u.a.] ER - TY - CHAP A1 - Böttcher, Thomas A1 - Naundorf, Robert A1 - Baier, Daniel ED - Lausen, Berthold ED - Krolak-Schwerdt, Sabine ED - Böhmer, Matthias T1 - A Statistical Software Package for Image Data Analysis in Marketing T2 - Data Science, Learning by Latent Structures, and Knowledge Discovery Y1 - 2015 SN - 978-3-662-44982-0 U6 - https://doi.org/10.1007/978-3-662-44983-7 SP - 217 EP - 227 PB - Springer CY - Berlin, Heidelberg ER - TY - CHAP A1 - Baier, Daniel A1 - Pełka, Marcin A1 - Rybicka, Aneta A1 - Schreiber, Stefanie ED - Lausen, Berthold ED - Krolak-Schwerdt, Sabine ED - Böhmer, Matthias T1 - Ratings-/Rankings-Based Versus Choice-Based Conjoint Analysis for Predicting Choices T2 - Data Science, Learning by Latent Structures, and Knowledge Discovery Y1 - 2015 UR - http://link.springer.com/chapter/10.1007%2F978-3-662-44983-7_18 SN - 978-3-662-44983-7 U6 - https://doi.org/10.1007/978-3-662-44983-7_18 SP - 205 EP - 216 PB - Springer CY - Heidelberg [u.a.] ER -