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Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs

Citations

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Cited by:

  1. Mayer, Stefan & Klein, Robert & Seiermann, Stephanie, 2013. "A simulation-based approach to price optimisation of the mixed bundling problem with capacity constraints," International Journal of Production Economics, Elsevier, vol. 145(2), pages 584-598.
  2. Pleshcheva, Vlada, 2019. "Metric and Scale Effects in Consumer Preferences for Environmental Benefits," Rationality and Competition Discussion Paper Series 147, CRC TRR 190 Rationality and Competition.
  3. Joshua Benjamin Schramm, 2025. "Incentive alignment in conjoint analysis: a meta-analysis on predictive validity," Marketing Letters, Springer, vol. 36(3), pages 533-546, September.
  4. Verena Sablotny-Wackershauser & Marcel Lichters & Daniel Guhl & Paul Bengart & Bodo Vogt, 2024. "Crossing incentive alignment and adaptive designs in choice-based conjoint: A fruitful endeavor," Journal of the Academy of Marketing Science, Springer, vol. 52(3), pages 610-633, May.
  5. Katharina Keller & Christian Schlereth & Oliver Hinz, 2021. "Correction to: Sample-based longitudinal discrete choice experiments: preferences for electric vehicles over time," Journal of the Academy of Marketing Science, Springer, vol. 49(3), pages 501-501, May.
  6. Mazurek, Jessica & Prey, Raul, 2025. "Greening the telecommunications industry – Consumer preferences and surcharges for environmental attributes of mobile phone plans," Telecommunications Policy, Elsevier, vol. 49(5).
  7. Basem Al-Omari & Joviana Farhat & Mujahed Shraim, 2023. "The Role of Web-Based Adaptive Choice-Based Conjoint Analysis Technology in Eliciting Patients’ Preferences for Osteoarthritis Treatment," IJERPH, MDPI, vol. 20(4), pages 1-15, February.
  8. Jonas Schmidt & Tammo H. A. Bijmolt, 2020. "Accurately measuring willingness to pay for consumer goods: a meta-analysis of the hypothetical bias," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 499-518, May.
  9. Will, Christian & Lehmann, Nico & Baumgartner, Nora & Feurer, Sven & Jochem, Patrick & Fichtner, Wolf, 2022. "Consumer understanding and evaluation of carbon-neutral electric vehicle charging services," Applied Energy, Elsevier, vol. 313(C).
  10. Christian Schlereth & Bernd Skiera, 2017. "Two New Features in Discrete Choice Experiments to Improve Willingness-to-Pay Estimation That Result in SDR and SADR: Separated (Adaptive) Dual Response," Management Science, INFORMS, vol. 63(3), pages 829-842, March.
  11. Jella Pfeiffer & Michael Scholz, 2013. "A Low-Effort Recommendation System with High Accuracy," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 5(6), pages 397-408, December.
  12. Maldonado, Sebastián & Montoya, Ricardo & Weber, Richard, 2015. "Advanced conjoint analysis using feature selection via support vector machines," European Journal of Operational Research, Elsevier, vol. 241(2), pages 564-574.
  13. Ronald B. Larson, 2019. "Promoting demand-based pricing," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 18(1), pages 42-51, February.
  14. Larson, Ronald B., "undated". "Selling Demand-Based Pricing," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 259135, Agricultural and Applied Economics Association.
  15. Daniel Guhl & Friederike Paetz & Udo Wagner & Michel Wedel, 2024. "Predicting and optimizing marketing performance in dynamic markets," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 46(1), pages 1-27, March.
  16. Anjulie Hähnchen & Bernhard Baumgartner, 2020. "The Impact of Price Bundling on the Evaluation of Bundled Products: Does It Matter How You Frame It?," Schmalenbach Business Review, Springer;Schmalenbach-Gesellschaft, vol. 72(1), pages 39-63, February.
  17. Meixner, Oliver & Kubinger, Magdalena & Haghirian, Parissa & Haas, Rainer, "undated". "Empirical Research in Foreign Cultures: The Case of Japanese Rice," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276881, International European Forum on System Dynamics and Innovation in Food Networks.
  18. Meixner, Oliver & Haas, Rainer, 2017. "The Difficulties in Measuring Individual Utilities of Product Attributes: A Choice Based Experiment," 2018 International European Forum (163rd EAAE Seminar), February 5-9, 2018, Innsbruck-Igls, Austria 276887, International European Forum on System Dynamics and Innovation in Food Networks.
  19. K. Valerie Carl & Cristina Mihale-Wilson & Jan Zibuschka & Oliver Hinz, 2024. "A consumer perspective on Corporate Digital Responsibility: an empirical evaluation of consumer preferences," Journal of Business Economics, Springer, vol. 94(7), pages 979-1024, October.
  20. Hein, Maren & Goeken, Nils & Kurz, Peter & Steiner, Winfried J., 2022. "Using Hierarchical Bayes draws for improving shares of choice predictions in conjoint simulations: A study based on conjoint choice data," European Journal of Operational Research, Elsevier, vol. 297(2), pages 630-651.
  21. A. Cristina Mihale-Wilson & Jan Zibuschka & Oliver Hinz, 2019. "User preferences and willingness to pay for in-vehicle assistance," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(1), pages 37-53, March.
  22. Lukas Kornher & Martin Schellhorn & Saskia Vetter, 2019. "Disgusting or Innovative-Consumer Willingness to Pay for Insect Based Burger Patties in Germany," Sustainability, MDPI, vol. 11(7), pages 1-20, March.
  23. Hendrik Jöntgen & Nicholas Valentin Lingnau & Oliver Hinz & Roland Holten, 2024. "This is why we pay—Motivational factors for supporting subscription-based crowdfunding campaigns," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-21, December.
  24. Frank Ebbers & Jan Zibuschka & Christian Zimmermann & Oliver Hinz, 2021. "User preferences for privacy features in digital assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 411-426, June.
  25. Arif Yustian Maulana Noor & Hery Toiba & Budi Setiawan & Abdul Wahib Muhaimin & Adhitya Marendra Kiloes, 2022. "The application of choice experiments in a study on consumer preference for agri-food products: A literature review," Agricultural Economics, Czech Academy of Agricultural Sciences, vol. 68(5), pages 189-197.
  26. Halme, Merja & Kallio, Markku, 2014. "Likelihood estimation of consumer preferences in choice-based conjoint analysis," European Journal of Operational Research, Elsevier, vol. 239(2), pages 556-564.
  27. Lehmann, Nico & Sloot, Daniel & Ardone, Armin & Fichtner, Wolf, 2021. "The limited potential of regional electricity marketing – Results from two discrete choice experiments in Germany," Energy Economics, Elsevier, vol. 100(C).
  28. Letmathe, Peter & Sperling, Dustin & Woeste, Richard, 2025. "Consumer preferences for public EV charging tariffs and infrastructure reliability: A choice experiment," Transport Policy, Elsevier, vol. 170(C), pages 147-162.
  29. Meixner, Oliver & Haas, Rainer, 2017. "The Difficulties in Measuring Individual Utilities of Product Attributes: A Choice Based Experiment," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 2017(1), June.
  30. Schlereth, Christian & Eckert, Christine & Schaaf, René & Skiera, Bernd, 2014. "Measurement of preferences with self-explicated approaches: A classification and merge of trade-off- and non-trade-off-based evaluation types," European Journal of Operational Research, Elsevier, vol. 238(1), pages 185-198.
  31. Scholz, Michael & Pfeiffer, Jella & Rothlauf, Franz, 2017. "Using PageRank for non-personalized default rankings in dynamic markets," European Journal of Operational Research, Elsevier, vol. 260(1), pages 388-401.
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