TY - CHAP A1 - Baier, Daniel A1 - Polasek, Wolfgang ED - Pociecha, Józef T1 - Modelling Spatial Effects in Regression Analysis - Approaches and Applications T2 - Quantitative methods for modelling and forecasting economic processes Y1 - 2013 SN - 978-83-7252-652-6 SP - 9 EP - 22 PB - Cracow University of Economics Press CY - Kraków ER - TY - CHAP A1 - Polasek, Wolfgang A1 - Baier, Daniel ED - Pociecha, Józef T1 - Demometric Forecasting with Principal Components of the Population Structure T2 - Quantitative methods for modelling and forecasting economic processes Y1 - 2013 SN - 978-83-7252-652-6 SP - 23 EP - 31 PB - Cracow University of Economics Press CY - Kraków ER - TY - GEN A1 - Löffler, Stephanie A1 - Baier, Daniel T1 - Using critical incidents to validate the direct measurement of attribute importance and performance when analyzing services T2 - Journal of Service Science and Management N2 - Since its introduction into the marketing literature by Martilla and James, the Importance-Performance Analysis has proven multiple times to be a cost-effective technique for measuring attribute importance and performance of services for the customer. Additionally, it gives managers valuable hints in order to improve their products and services. However, despite a long list of successful applications overtime one critical aspect remains—the validation of the importance values by direct measurement. Besides the limitations and critics that accompanied with stated importance techniques, a lot of research results show that it is better to use direct methods in place of indirect measures. Some researchers suggest measuring the customers’ priority structure to compensate the critical points within the direct questioning. This study shows how the critical incident technique can be helpful for the validation of such results. KW - Importance-Performance Analysis, Critical Incident Technique, Validation Y1 - 2013 UR - http://www.scirp.org/journal/PaperInformation.aspx?PaperID=41338 SN - 1940-9893 VL - 6 IS - 5a SP - 1 EP - 11 ER - TY - GEN A1 - Rese, Alexandra A1 - Schreiber, Stefanie A1 - Baier, Daniel T1 - Technology Acceptance Modeling of Augmented Reality at the Point of Sale: Can Surveys be Replaced by an Analysis of Online Reviews? T2 - Journal of Retailing and Consumer Services N2 - Online reviews by users have become an increasingly important source of information. This is true not only for new users of goods or services, but also for their producers. They extend the insight into the acceptance of new goods and services, e.g. at the point of sale, from a mere sales and usage quantity oriented point of view to a cause and effect oriented one. Since online reviews by consumers of many goods and services are nowadays widespread and easily available on the internet, the question arises whether their analysis can replace the more traditional approaches to measure technology acceptance, e.g., using questionnaires with TAM (Technology Acceptance Model) items. This paper tries to answer this question using IKEA's mobile catalogue app as an example. For comparisons reasons, data on the acceptance of the current version of this catalogue is collected in four different ways, (1) as answers to batteries of TAM items, (2) as assignments to pre-defined adjective pairs, (3) as textual likes and dislikes of users (simulating online reviews), and (4) as publicly available (real) reviews by users. The source for (1)–(3) is a survey with a sample of respondents, the source for (4) an online forum. The data is analyzed using partial least squares (PLS) for TAM modelling and text mining for pre-processing the textual data. The results are promising: it seems that data collection via surveys can be replaced – with some reservations – by the analysis of publicly available (real) online reviews. KW - Technologyacceptance, Technology acceptance model (TAM), Online reviews, Text mining, Partial leastsquares (PLS), Augmented reality Y1 - 2014 UR - http://www.sciencedirect.com/science/article/pii/S0969698914000241 U6 - https://doi.org/10.1016/j.jretconser.2014.02.011 VL - 21 IS - 5 SP - 869 EP - 876 ER - TY - GEN A1 - Selka, Sebastian A1 - Baier, Daniel T1 - Kommerzielle Anwendung auswahlbasierter Verfahren der Conjointanalyse: Eine empirische Untersuchung zur Validitätsentwicklung T2 - Marketing Zeitschrift für Forschung und Praxis Y1 - 2014 UR - http://rsw.beck.de/rsw/upload/Marketing/Marketing_2014_1_4.pdf SN - 0344-1369 VL - 36 IS - 1 SP - 54 EP - 64 ER - TY - CHAP A1 - Schmitt, Ingo A1 - Baier, Daniel ED - Lausen, Berthold ED - Poel, Dirk van den ED - Ultsch, Alfred T1 - Logic Based Conjoint Analysis Using the Commuting Quantum Query Language T2 - Algorithms from and for Nature and Life: Classification and Data Analysis Y1 - 2013 UR - http://www.springer.com/statistics/computational+statistics/book/978-3-319-00034-3 SN - 978-3-319-00035-0 SP - 481 EP - 490 PB - Springer CY - Heidelberg-Berlin ER - TY - CHAP A1 - Baier, Daniel ED - Gaul, Wolfgang ED - Geyer-Schulz, Andreas ED - Baba, Yasumasa ED - Okada, Akinori T1 - Bayesian Methods for Conjoint Analysis-Based Prediction: Do We Still Need Latent Classes? T2 - German-Japanese Interchange of Data Analysis Results Y1 - 2014 SN - 978-3-319-01263-6 SP - 103 EP - 113 PB - Springer CY - Heidelberg-Berlin ER - TY - CHAP A1 - Vökler, Sascha A1 - Baier, Daniel ED - Spiliopoulou, Myra ED - Schmidt-Thieme, Lars ED - Janning, Ruth T1 - Solving Product Line Design Optimization Problems Using Stochastic Programming T2 - Data Analysis, Machine Learning and Knowledge Discovery Y1 - 2014 UR - http://www.springer.com/statistics/computational+statistics/book/978-3-319-01594-1 SN - 978-3-319-01595-8 SP - 235 EP - 243 PB - Springer CY - Heidelberg-Berlin ER - TY - CHAP A1 - Selka, Sebastian A1 - Baier, Daniel A1 - Kurz, Peter ED - Spiliopoulou, Myra ED - Schmidt-Thieme, Lars ED - Janning, Ruth T1 - The Validity of Conjoint Analysis: An Investigation of Commercial Studies Over Time T2 - Data Analysis, Machine Learning and Knowledge Discovery Y1 - 2014 UR - http://www.springer.com/statistics/computational+statistics/book/978-3-319-01594-1 SN - 978-3-319-01595-8 SP - 227 EP - 234 PB - Springer CY - Heidelberg-Berlin ER - TY - CHAP A1 - Kutschke, Anke A1 - Rese, Alexandra A1 - Baier, Daniel ED - Pechlaner, Harald ED - Doepfer, Benedict T1 - Kristallisationspunkte in Clustern: Universitäten als Ausgangspunkte von Netzwerken im Bereich innovativer Energietechnologien T2 - Wertschöpfungskompetenz und Unternehmertum Y1 - 2014 SN - 978-3-658-00922-9 SP - 145 EP - 163 PB - Springer Gabler CY - Wiesbaden ER - TY - GEN A1 - Sänn, Alexander A1 - Krimmling, Jana A1 - Baier, Daniel A1 - Ni, Ming T1 - Lead User Intelligence for Complex Product Development – the Case of Industrial IT-Security Solutions T2 - International Journal of Technology Intelligence and Planning N2 - Nowadays, the lead user method is a state of the art method used to generate breakthrough innovations for the new product development. Since the lead user method was successfully applied in generating simple products for business-to-business environments, the contribution of lead users in a complex product environment is highly controversial. This research adopts this to generate future complex IT-security solutions for business-to-business environments in the energy sector. The combined approach of lead user intelligence and voice of the customer techniques is expected to lower the risk of an unreliable product development and to fasten the lead user method. The empirical findings show an appropriate lead user method fitting small- and medium-sized enterprises (SMEs) restricted resources and requirements of effective research and development processes in a high-technology environment. It further enables SMEs to specify and parameterise future products according to reliable and user verified data within development processes. KW - new product development KW - voice of the customer KW - lead user method KW - supervisory control KW - breakthrough innovation KW - complex products KW - technology intelligence KW - business-to-business KW - small and medium-sized enterprises KW - research and development Y1 - 2013 SN - 1740-2840 SN - 1740-2832 VL - 9 IS - 3 SP - 232 EP - 249 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 -