Martin Meißner
Title
Cited by
Cited by
Year
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
95*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
802010
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
672019
Eye-tracking information processing in choice-based conjoint analysis
M Meissner, R Decker
International Journal of Market Research 52 (5), 2010
572010
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
332019
Strategisches Marketing
R Decker, F Kroll, M Meißner, R Wagner
Marketing, 39-68, 2015
252015
An empirical comparison of CBC and AHP for measuring consumer preferences
M Meißner, R Decker
International Symposium of Analytical Hierarchy Process, 2009
232009
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
202017
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
172014
Marketing: Eine entscheidungsorientierte Einführung
R Decker, F Kroll, M Meißner, R Wagner
132015
Classification of Goal-Directed Search and Exploratory Search Using Mobile Eye-Tracking
J Pfeiffer, M Meißner, J Prosiegel, T Pfeiffer
132014
AHP versus ACA–An empirical comparison
M Meißner, SW Scholz, R Decker
Data Analysis, Machine Learning and Applications, 447-454, 2008
132008
Towards Attentive In-Store Recommender Systems
J Pfeiffer, T Pfeiffer, M Meißner
Reshaping Society through Analytics, Collaboration, and Decision Support …, 2015
122015
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
92011
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
92010
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
92006
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
82013
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
72019
Adapting Human-Computer-Interaction of Attentive Smart Glasses to the Trade-Off Conflict in Purchase Decisions: An Experiment in a Virtual Supermarket
J Pfeiffer, T Pfeiffer, A Greif-Winzrieth, M Meißner, P Renner, C Weinhardt
Hci International 2017 Conference Proceedings, 2017
62017
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Articles 1–20