| Eye-Tracking Reveals a Process of Conjoint Choice That is Quick, Efficient and Largely Free from Contextual Biases M Meißner, A Musalem, JC Huber Journal of Marketing Research, 2015 | 101* | 2015 |
| Measuring consumer preferences for complex products: a compositional approach based on paired comparisons SW Scholz, M Meissner, R Decker Journal of Marketing Research 47 (4), 685-698, 2010 | 82 | 2010 |
| Combining virtual reality and mobile eye tracking to provide a naturalistic experimental environment for shopper research M Meißner, J Pfeiffer, T Pfeiffer, H Oppewal Journal of Business Research 100, 445-458, 2019 | 73 | 2019 |
| Eye-tracking information processing in choice-based conjoint analysis M Meissner, R Decker International Journal of Market Research 52 (5), 2010 | 58 | 2010 |
| The promise of eye-tracking methodology in organizational research: A taxonomy, review, and future avenues M Meißner, J Oll Organizational Research Methods 22 (2), 590-617, 2019 | 36 | 2019 |
| Strategisches Marketing R Decker, F Kroll, M Meißner, R Wagner Marketing, 39-68, 2015 | 25 | 2015 |
| An empirical comparison of CBC and AHP for measuring consumer preferences M Meißner, R Decker International Symposium of Analytical Hierarchy Process, 2009 | 23 | 2009 |
| A mechanism for aggregating association network data: An application to brand concept maps D Böger, P Kottemann, M Meißner, R Decker Journal of Business Research 79, 90-106, 2017 | 20 | 2017 |
| On the influence of context-based complexity on information search patterns: An individual perspective. J Pfeiffer, M Meißner, E Brandstätter, R Riedl, R Decker, F Rothlauf Journal of Neuroscience, Psychology, and Economics 7 (2), 103, 2014 | 17 | 2014 |
| Marketing: Eine entscheidungsorientierte Einführung R Decker, F Kroll, M Meißner, R Wagner | 14 | 2015 |
| Classification of Goal-Directed Search and Exploratory Search Using Mobile Eye-Tracking J Pfeiffer, M Meißner, J Prosiegel, T Pfeiffer | 14 | 2014 |
| AHP versus ACA–An empirical comparison M Meißner, SW Scholz, R Decker Data Analysis, Machine Learning and Applications, 447-454, 2008 | 13 | 2008 |
| Towards Attentive In-Store Recommender Systems J Pfeiffer, T Pfeiffer, M Meißner Reshaping Society through Analytics, Collaboration, and Decision Support …, 2015 | 12 | 2015 |
| Towards Attentive In-Store Recommender Systems: Detecting Exploratory vs. Goal-oriented Decisions J Pfeiffer, T Pfeiffer, M Meißner Proceedings of the SIGDSS 2013 Pre-ICIS Workshop-Reshaping Society through …, 2013 | 12* | 2013 |
| Ein empirischer Validitätsvergleich zwischen adaptive self-explicated approach (ASE), pairwise comparison-based preference measurement (PCPM) und adaptive conjoint analysis (ACA) M Meißner, R Decker, N Adam Zeitschrift für Betriebswirtschaft 81 (4), 423-446, 2011 | 10 | 2011 |
| An Adaptive Algorithm for Pairwise Comparison‐based Preference Measurement M Meißner, R Decker, SW Scholz Journal of Multi‐Criteria Decision Analysis 17 (5-6), 167-177, 2010 | 9 | 2010 |
| Robust preference measurement a simulation study of erroneous and ambiguous judgement’s impact on AHP and conjoint analysis SW Scholz, M Meißner, R Wagner Operations Research Proceedings 2005, 613-618, 2006 | 9 | 2006 |
| Shopping in Virtual Reality Stores: The Influence of Immersion on System Adoption C Peukert, J Pfeiffer, M Meißner, T Pfeiffer, C Weinhardt Journal of Management Information Systems 36 (3), 755-788, 2019 | 8 | 2019 |
| Not worth the extra cost? Diluting the differentiation ability of highly rated products by altering the meaning of rating scale levels M Meißner, SL Heinzle, R Decker Journal of Consumer Behaviour 12 (3), 223-231, 2013 | 8 | 2013 |
| A User's Guide to the Galaxy of Conjoint Analysis and Compositional Preference Measurement M Steiner, M Meißner Marketing Zfp 40 (2), 3-25, 2018 | 6 | 2018 |
Jella PfeifferPost-Doc, Karlsruhe Institute of TechnologyVerified email at kit.edu
