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Research Output 2006 2020

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Journal article
2020

Eye-Tracking-Based Classification of Information Search Behavior using Machine Learning: Evidence from Experiments in Physical Shops and Virtual Reality Shopping Environments

Pfeiffer, J., Pfeiffer, T., Meißner, M. & Weiss, E., 2020, (Accepted/In press) In : Information Systems Research.

Research output: Contribution to journalJournal articleResearchpeer-review

2019

Combining Virtual Reality and Mobile Eye Tracking to Provide a Naturalistic Experimental Environment for Shopper Research

Meißner, M., Pfeiffer, J., Pfeiffer, T. & Oppewal, H., Jul 2019, In : Journal of Business Research. 100, p. 445-458

Research output: Contribution to journalJournal articleResearchpeer-review

Virtual reality
Methodology
Virtual environments
Natural environment
Shopping

Shopping in Virtual Reality Stores: The Influence of Immersion on System Adoption

Peukert, C., Pfeiffer, J., Meißner, M., Pfeiffer, T. & Weinhardt, C., 4. Aug 2019, In : Journal of Management Information Systems. 36, 3, p. 755-788

Research output: Contribution to journalJournal articleResearchpeer-review

Virtual reality
Byproducts
Display devices
Shopping
Industry

Surprising Adaptivity to Choice Complexity in Multi-Attribute Repeated Choice Tasks of Varying Size

Meißner, M., Oppewal, H. & Huber, J., 2019, (Accepted/In press) In : Journal of Business Research.

Research output: Contribution to journalJournal articleResearchpeer-review

Adaptivity
Decision maker
Information search
Eye movements
Persistence

The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues

Meißner, M. & Oll, J., 1. Apr 2019, In : Organizational Research Methods. 22, 2, p. 590-617

Research output: Contribution to journalJournal articleResearchpeer-review

Taxonomies
Personnel
Taxonomy
Organizational research
Methodology
2018
146 Downloads (Pure)

A User’s Guide to the Galaxy of Conjoint Analysis and Compositional Preference Measurement

Steiner, M. & Meißner, M., 2018, In : Marketing ZFP - Journal of Research and Management . 40, 2, p. 3-25

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
Conjoint analysis
Preference measurement
Guidance
Simulation
Consumer preferences
2017

A mechanism for aggregating association network data: An application to brand concept maps

Böger, D., Kottemann, P., Meißner, M. & Decker, R., 2017, In : Journal of Business Research. 79, p. 90-106

Research output: Contribution to journalJournal articleResearchpeer-review

46 Downloads (Pure)

With a little help from my customers: The influence of customer empowerment on consumers' perceptions of well-established brands

Meißner, M., Haurand, M. & Stummer, C., 2017, In : International Journal of Innovation Management. 21, 6, 28 p., 1750048.

Research output: Contribution to journalJournal articleResearchpeer-review

Open Access
File
2016

Eye-Tracking Reveals a Process of Conjoint Choice that is Quick, Efficient and Largely Free from Contextual Biases

Meißner, M., Musalem, A. & Huber, J., 2016, In : Journal of Marketing Research. 53, 1, p. 1-17

Research output: Contribution to journalJournal articleResearchpeer-review

2015

The Benefits of Computer-Based Brand Concept Mapping

Meißner, M., Kottemann, P., Decker, R. & Scholz, S. W., 2015, In : Schmalenbach Business Review. 67, 4, p. 430-453

Research output: Contribution to journalJournal articleResearchpeer-review

2014

On the influence of context-based complexity on information search patterns: An individual perspective

Pfeiffer, J., Meißner, M., Brandstätter, E., Riedl, R., Decker, R. & Rothlauf, F., 2014, In : Journal of Neuroscience, Psychology and Economics. 7, 2, p. 103-124

Research output: Contribution to journalJournal articleResearchpeer-review

2013

Not Worth the Extra Cost? Diluting the Differentiation Ability of Highly Rated Products by Altering the Meaning of Rating Scale Levels

Meissner, M., Heinzle, S. L. & Decker, R., 2013, In : Journal of Consumer Behaviour. 12, 3, p. 223-231

Research output: Contribution to journalJournal articleResearchpeer-review

Linguistics
2011

An Adaptive Algorithm for Pairwise Comparison-based Preference Measurement

Meissner, M., Decker, R. & Scholz, S. W., 2011, In : Journal of Multi-Criteria Decision Analysis. 17, 5-6, p. 167-177

Research output: Contribution to journalJournal articleResearchpeer-review

Pairwise comparisons
Preference measurement
Analytic hierarchy process
Monte Carlo simulation

Ein empirischer Validitätsvergleich der ACA, des ASE und des PCPM

Meissner, M., Decker, R. & Adam, N., 2011, In : Zeitschrift für Betriebswirtschaft. 81, 4, p. 423-466

Research output: Contribution to journalJournal articleResearchpeer-review

Pairwise comparisons
Preference measurement
Conjoint analysis
Predictive validity
Leisure
2010

Ein empirischer Vergleich der Prozessaufzeichnungsmethoden Mouselab und Eyetracking bei Präferenzmessungen mittels Choice-based Conjoint Analyse

Meissner, M., Decker, R. & Pfeiffer, J., 2010, In : Marketing ZFP - Journal of Research and Management . 32, 3, p. 133-143

Research output: Contribution to journalJournal articleResearchpeer-review

Preference measurement
Cognitive processes
Empirical study
Process tracing
Choice-based conjoint analysis

Eye-tracking Information Processing in Choice-based Conjoint Analysis

Meißner, M. & Decker, R., 2010, In : International Journal of Market Research. 52, 5, p. 593-612

Research output: Contribution to journalJournal articleResearchpeer-review

Consumer decision
Process tracing
Choice-based conjoint analysis
Information processing
Market research

Measuring Consumer Preferences for Complex Products: A Compositional Approach Based on Paired Comparisons

Scholz, S. W., Meißner, M. & Decker, R., 2010, In : Journal of Marketing Research. 47, 4, p. 685-698

Research output: Contribution to journalJournal articleResearchpeer-review