IDEAS home Printed from https://ideas.repec.org/a/spr/schmbr/v72y2020i1d10.1007_s41464-020-00082-2.html
   My bibliography  Save this article

The Impact of Price Bundling on the Evaluation of Bundled Products: Does It Matter How You Frame It?

Author

Listed:
  • Anjulie Hähnchen

    (BSL Transportation Consultants)

  • Bernhard Baumgartner

    (University of Osnabrueck)

Abstract

Companies often sell their products in a price bundle at a discount. These discounts can be presented to consumers in various ways. Past studies have predominantly focused on the short-term effects of various price reduction frames within bundle offers. The primary purpose of this paper is to investigate the post-promotion effects of presenting a product within differently framed price bundles on consumers’ assessment of this product. A choice-based conjoint design is applied to investigate purchase probability and willingness to pay. The results of the study indicate, among other findings, that the evaluation of a product can deteriorate if this product is presented in a price bundle and that this effect depends on the framing of price discounts in the bundle.

Suggested Citation

  • 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.
  • Handle: RePEc:spr:schmbr:v:72:y:2020:i:1:d:10.1007_s41464-020-00082-2
    DOI: 10.1007/s41464-020-00082-2
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s41464-020-00082-2
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s41464-020-00082-2?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Gensler, Sonja & Hinz, Oliver & Skiera, Bernd & Theysohn, Sven, 2012. "Willingness-to-pay estimation with choice-based conjoint analysis: Addressing extreme response behavior with individually adapted designs," European Journal of Operational Research, Elsevier, vol. 219(2), pages 368-378.
    2. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    3. Janiszewski, Chris & Cunha, Marcus, Jr, 2004. "The Influence of Price Discount Framing on the Evaluation of a Product Bundle," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 30(4), pages 534-546, March.
    4. Richard H. Thaler, 2008. "Mental Accounting and Consumer Choice," Marketing Science, INFORMS, vol. 27(1), pages 15-25, 01-02.
    5. Mauricio M. Palmeira & Joydeep Srivastava, 2013. "Free Offer ≠ Cheap Product: A Selective Accessibility Account on the Valuation of Free Offers," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(4), pages 644-656.
    6. Scarpa, R. & Thiene, M. & Train, K., 2008. "Appendix to Utility in WTP space: a tool to address confounding random scale effects in destination choice to the Alps," American Journal of Agricultural Economics APPENDICES, Agricultural and Applied Economics Association, vol. 90(4), pages 1-9, January.
    7. Garrett Sonnier & Andrew Ainslie & Thomas Otter, 2007. "Heterogeneity distributions of willingness-to-pay in choice models," Quantitative Marketing and Economics (QME), Springer, vol. 5(3), pages 313-331, September.
    8. Urbany, Joel E & Bearden, William O & Weilbaker, Dan C, 1988. "The Effect of Plausible and Exaggerated Reference Prices on Consumer Perceptions and Price Search," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 15(1), pages 95-110, June.
    9. Michael A. Kamins & Valerie S. Folkes & Alexander Fedorikhin, 2009. "Promotional Bundles and Consumers' Price Judgments: When the Best Things in Life Are Not Free," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 36(4), pages 660-670, December.
    10. Yadav, Manjit S, 1994. "How Buyers Evaluate Product Bundles: A Model of Anchoring and Adjustment," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 21(2), pages 342-353, September.
    11. Lichtenstein, Donald R & Bearden, William O, 1986. "Measurement and Structure of Kelley's Covariance Theory," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 13(2), pages 290-296, September.
    12. Mazumdar, Tridib & Jun, Sung Youl, 1993. "Consumer Evaluations of Multiple versus Single Price Change," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 20(3), pages 441-450, December.
    13. Peter J. Lenk & Wayne S. DeSarbo & Paul E. Green & Martin R. Young, 1996. "Hierarchical Bayes Conjoint Analysis: Recovery of Partworth Heterogeneity from Reduced Experimental Designs," Marketing Science, INFORMS, vol. 15(2), pages 173-191.
    14. Kaicker, Ajit & Bearden, William O. & Manning, Kenneth C., 1995. "Component versus bundle pricing : The role of selling price deviations from price expectations," Journal of Business Research, Elsevier, vol. 33(3), pages 231-239, July.
    15. Riccardo Scarpa & Mara Thiene & Kenneth Train, 2008. "Utility in Willingness to Pay Space: A Tool to Address Confounding Random Scale Effects in Destination Choice to the Alps," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 90(4), pages 994-1010.
    16. Timothy Gilbride & Joseph Guiltinan & Joel Urbany, 2008. "Framing effects in mixed price bundling," Marketing Letters, Springer, vol. 19(2), pages 125-139, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Timothy Gilbride & Joseph Guiltinan & Joel Urbany, 2008. "Framing effects in mixed price bundling," Marketing Letters, Springer, vol. 19(2), pages 125-139, June.
    2. Santana, Shelle & Thomas, Manoj & Morwitz, Vicki G., 2020. "The Role of Numbers in the Customer Journey," Journal of Retailing, Elsevier, vol. 96(1), pages 138-154.
    3. Liu, Hsin-Hsien & Chou, Hsuan-Yi, 2015. "The effects of promotional frames of sales packages on perceived price increases and repurchase intentions," International Journal of Research in Marketing, Elsevier, vol. 32(1), pages 23-33.
    4. Reeti Agarwal, 2018. "Indian Customers’ Attitude Towards Bundling: A Basis for Classification and Targeting," Global Business Review, International Management Institute, vol. 19(2), pages 510-531, April.
    5. Kim Huat Goh & Jesse C. Bockstedt, 2013. "The Framing Effects of Multipart Pricing on Consumer Purchasing Behavior of Customized Information Good Bundles," Information Systems Research, INFORMS, vol. 24(2), pages 334-351, June.
    6. Bartczak, Anna, 2015. "The role of social and environmental attitudes in non-market valuation," Forest Policy and Economics, Elsevier, vol. 50(C), pages 357-365.
    7. Arne Hole & Julie Kolstad, 2012. "Mixed logit estimation of willingness to pay distributions: a comparison of models in preference and WTP space using data from a health-related choice experiment," Empirical Economics, Springer, vol. 42(2), pages 445-469, April.
    8. Sheng, Shibin & Pan, Yue, 2009. "Bundling as a new product introduction strategy: The role of brand image and bundle features," Journal of Retailing and Consumer Services, Elsevier, vol. 16(5), pages 367-376.
    9. Chandrashekaran, Rajesh & Grewal, Dhruv, 2006. "Anchoring effects of advertised reference price and sale price: The moderating role of saving presentation format," Journal of Business Research, Elsevier, vol. 59(10-11), pages 1063-1071, October.
    10. YiChun Miriam Liu & Jeff D. Brazell & Greg M. Allenby, 2022. "Non-linear pricing effects in conjoint analysis," Quantitative Marketing and Economics (QME), Springer, vol. 20(4), pages 397-430, December.
    11. Juutinen, Artti & Kosenius, Anna-Kaisa & Ovaskainen, Ville, 2014. "Estimating the benefits of recreation-oriented management in state-owned commercial forests in Finland: A choice experiment," Journal of Forest Economics, Elsevier, vol. 20(4), pages 396-412.
    12. Landmann, D. & Feil, J.-H. & Lagerkvist, C.J. & Otter, V., 2018. "Designing capacity development activities of small-scale farmers in developing countries based on discrete choice experiments," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277738, International Association of Agricultural Economists.
    13. Ortega, David L. & Waldman, Kurt B. & Richardson, Robert B. & Clay, Daniel C. & Snapp, Sieglinde, 2016. "Sustainable Intensification and Farmer Preferences for Crop System Attributes: Evidence from Malawi’s Central and Southern Regions," World Development, Elsevier, vol. 87(C), pages 139-151.
    14. Huh, Sung-Yoon & Jo, Manseok & Shin, Jungwoo & Yoo, Seung-Hoon, 2019. "Impact of rebate program for energy-efficient household appliances on consumer purchasing decisions: The case of electric rice cookers in South Korea," Energy Policy, Elsevier, vol. 129(C), pages 1394-1403.
    15. Benjamin Polak & Rupert Stadler & Mark Heitmann & Andreas Herrmann & Marc Cäsar & Jan Landwehr, 2010. "Aufpreise oder Gesamtpreise? Wirkung der Preisdarstellung auf das individuelle Entscheidungsverhalten," Schmalenbach Journal of Business Research, Springer, vol. 62(8), pages 911-932, December.
    16. Talevi, Marta & Pattanayak, Subhrendu K. & Das, Ipsita & Lewis, Jessica J. & Singha, Ashok K., 2022. "Speaking from experience: Preferences for cooking with biogas in rural India," Energy Economics, Elsevier, vol. 107(C).
    17. Waldman, Kurt B. & Ortega, David L. & Richardson, Robert B. & Snapp, Sieglinde S., 2017. "Estimating demand for perennial pigeon pea in Malawi using choice experiments," Ecological Economics, Elsevier, vol. 131(C), pages 222-230.
    18. Frontuto, Vito & Corsi, Alessandro & Novelli, Silvia & Gullino, Paola & Larcher, Federica, 2020. "The visual impact of agricultural sheds on rural landscapes: The willingness to pay for mitigation solutions and treatment effects," Land Use Policy, Elsevier, vol. 91(C).
    19. Doherty, Edel & Campbell, Danny & Hynes, Stephen, 2012. "Exploring cost heterogeneity in recreational demand," Working Papers 148832, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    20. Liu, Hsin-Hsien, 2013. "How promotional frames affect upgrade intentions," Journal of Economic Psychology, Elsevier, vol. 39(C), pages 237-248.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:schmbr:v:72:y:2020:i:1:d:10.1007_s41464-020-00082-2. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.