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Examining differences in consumer reactions to partitioned prices with a variable number of price components

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  • Carlson, Jay P.
  • Weathers, Danny

Abstract

Partitioned pricing is a tactic in which a seller presents multiple prices for a single product or service instead of one, all-inclusive price. This research investigates effects of partitioned prices containing a variable number of price components, under varying levels of seller trustworthiness, and with or without the presentation of the total price. The results indicate that partitioning into a large number of price components, relative to a small number of price components, negatively affects perceived fairness and purchase intentions for less trustworthy, but not more trustworthy, sellers when the total price is not presented. However, partitioning into a large number of price components positively affects fairness and purchase intentions, regardless of seller trustworthiness, when the total price is presented. The research also examines effects of partitioning on price estimation and recall.

Suggested Citation

  • Carlson, Jay P. & Weathers, Danny, 2008. "Examining differences in consumer reactions to partitioned prices with a variable number of price components," Journal of Business Research, Elsevier, vol. 61(7), pages 724-731, July.
    • Handle: RePEc:eee:jbrese:v:61:y:2008:i:7:p:724-731
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    3. Ferguson, Jodie L., 2014. "Implementing price increases in turbulent economies: Pricing approaches for reducing perceptions of price unfairness," Journal of Business Research, Elsevier, vol. 67(1), pages 2732-2737.
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    7. Markus Dertwinkel-Kalt & Mats Köster & Matthias Sutter, 2019. "To Buy or not to Buy? Shrouding and Partitioning of Prices in an Online Shopping Field Experiment," CESifo Working Paper Series 7475, CESifo.
    8. Ferguson, Jodie L. & Brown, Brian P. & Johnston, Wesley J., 2017. "Partitioned pricing, price fairness perceptions, and the moderating effects of brand relationships in SME business markets," Journal of Business Research, Elsevier, vol. 72(C), pages 80-92.
    9. Ernan Haruvy & Boram Lim & Peter T. L. Popkowski Leszczyc, 2023. "The effect of surcharge on price in online auctions," Electronic Commerce Research, Springer, vol. 23(2), pages 1161-1182, June.
    10. Patrick Sihler & Markus Voeth, 2019. "Der Preis der Freiheit – Analyse der Kundenakzeptanz verhaltensabhängiger Preise [The Price of Freedom—Analysis of Customer Acceptance of Usage Behavior-based Pricing]," Schmalenbach Journal of Business Research, Springer, vol. 71(1), pages 45-78, March.
    11. Yang, Bi & Li, Shanshi & Chen, Zhenyu & Mattila, Anna S., 2023. "Consumer responses to time-based sales messages," Annals of Tourism Research, Elsevier, vol. 99(C).
    12. Pade, Robin & Feurer, Sven, 2022. "The mitigating role of nostalgia for consumer price unfairness perceptions in response to disadvantageous personalized pricing," Journal of Business Research, Elsevier, vol. 145(C), pages 277-287.
    13. Rasch, Alexander & Thöne, Miriam & Wenzel, Tobias, 2020. "Drip pricing and its regulation: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 176(C), pages 353-370.
    14. Chu, Wujin & Lee, Jeongmin & Baumann, Chris & Kang, Christine, 2020. "Fairness perception of ancillary fees: Industry differences and communication strategies," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    15. Ahmetoglu, Gorkan & Furnham, Adrian & Fagan, Patrick, 2014. "Pricing practices: A critical review of their effects on consumer perceptions and behaviour," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 696-707.
    16. Layer, Patrick & Feurer, Sven & Jochem, Patrick, 2017. "Perceived price complexity of dynamic energy tariffs: An investigation of antecedents and consequences," Energy Policy, Elsevier, vol. 106(C), pages 244-254.
    17. Katja Seim & Maria Ana Vitorino & David M. Muir, 2017. "Do consumers value price transparency?," Quantitative Marketing and Economics (QME), Springer, vol. 15(4), pages 305-339, December.
    18. Mittal, Divya & Agrawal, Shiv Ratan, 2016. "Price transparency reflects assurance and reliability," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 43-51.
    19. Richard C. Bishop & Kevin J. Boyle, 2021. "On Adding-Up as a Validity Criterion for Stated-Preference Studies," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 80(3), pages 587-601, November.
    20. Choi, Jungsil & Madhavaram, Sreedhar R. & Park, Hyun Young, 2020. "The Role of Hedonic and Utilitarian Motives on the Effectiveness of Partitioned Pricing," Journal of Retailing, Elsevier, vol. 96(2), pages 251-265.
    21. Homburg, Christian & Totzek, Dirk & Krämer, Melanie, 2014. "How price complexity takes its toll: The neglected role of a simplicity bias and fairness in price evaluations," Journal of Business Research, Elsevier, vol. 67(6), pages 1114-1122.
    22. Johannes Voester & Bjoern Ivens & Alexander Leischnig, 2017. "Partitioned pricing: review of the literature and directions for further research," Review of Managerial Science, Springer, vol. 11(4), pages 879-931, October.
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    24. Franziska Völckner & Alexander Rühle & Martin Spann, 2012. "To divide or not to divide? The impact of partitioned pricing on the informational and sacrifice effects of price," Marketing Letters, Springer, vol. 23(3), pages 719-730, September.

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