IDEAS home Printed from https://ideas.repec.org/a/kap/mktlet/v25y2014i3p319-330.html
   My bibliography  Save this article

The interrelationships between brand and channel choice

Author

Listed:
  • Scott Neslin
  • Kinshuk Jerath
  • Anand Bodapati
  • Eric Bradlow
  • John Deighton
  • Sonja Gensler
  • Leonard Lee
  • Elisa Montaguti
  • Rahul Telang
  • Raj Venkatesan
  • Peter Verhoef
  • Z. Zhang

Abstract

We propose a framework for the joint study of the consumer’s decision of where to buy and what to buy. The framework is rooted in utility theory where the utility is for a particular channel/brand combination. The framework contains firm actions, the consumer search process, the choice process, and consumer learning. We develop research questions within each of these areas. We then discuss methodological issues pertaining to the use of experimentation and econometrics. Our framework suggests that brand and channel choices are closely intertwined, and therefore studying them jointly will reveal a deeper understanding of consumer decision making in the modern marketing environment. Copyright Springer Science+Business Media New York 2014

Suggested Citation

  • Scott Neslin & Kinshuk Jerath & Anand Bodapati & Eric Bradlow & John Deighton & Sonja Gensler & Leonard Lee & Elisa Montaguti & Rahul Telang & Raj Venkatesan & Peter Verhoef & Z. Zhang, 2014. "The interrelationships between brand and channel choice," Marketing Letters, Springer, vol. 25(3), pages 319-330, September.
  • Handle: RePEc:kap:mktlet:v:25:y:2014:i:3:p:319-330
    DOI: 10.1007/s11002-014-9305-2
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11002-014-9305-2
    Download Restriction: Access to full text is restricted to subscribers.

    File URL: https://libkey.io/10.1007/s11002-014-9305-2?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. Peter M. Guadagni & John D. C. Little, 1983. "A Logit Model of Brand Choice Calibrated on Scanner Data," Marketing Science, INFORMS, vol. 2(3), pages 203-238.
    2. Peter J. Danaher & Isaac W. Wilson & Robert A. Davis, 2003. "A Comparison of Online and Offline Consumer Brand Loyalty," Marketing Science, INFORMS, vol. 22(4), pages 461-476, February.
    3. Tülin Erdem & Michael P. Keane, 1996. "Decision-Making Under Uncertainty: Capturing Dynamic Brand Choice Processes in Turbulent Consumer Goods Markets," Marketing Science, INFORMS, vol. 15(1), pages 1-20.
    4. Gary J. Russell, 2014. "Brand Choice Models," World Scientific Book Chapters, in: Russell S Winer & Scott A Neslin (ed.), THE HISTORY OF MARKETING SCIENCE, chapter 2, pages 19-46, World Scientific Publishing Co. Pte. Ltd..
    5. Sonja Gensler & Peter Verhoef & Martin Böhm, 2012. "Understanding consumers’ multichannel choices across the different stages of the buying process," Marketing Letters, Springer, vol. 23(4), pages 987-1003, December.
    6. Lu Hsiao & Ying-Ju Chen, 2013. "The perils of selling online: Manufacturer competition, channel conflict, and consumer preferences," Marketing Letters, Springer, vol. 24(3), pages 277-292, September.
    7. Nanda Kumar & Ranran Ruan, 2006. "On manufacturers complementing the traditional retail channel with a direct online channel," Quantitative Marketing and Economics (QME), Springer, vol. 4(3), pages 289-323, September.
    8. Konuş, Umut & Neslin, Scott A. & Verhoef, Peter C., 2014. "The effect of search channel elimination on purchase incidence, order size and channel choice," International Journal of Research in Marketing, Elsevier, vol. 31(1), pages 49-64.
    9. Brian T. Ratchford, 1982. "Cost-Benefit Models for Explaining Consumer Choice and Information Seeking Behavior," Management Science, INFORMS, vol. 28(2), pages 197-212, February.
    10. Stephen J. Hoch & Eric T. Bradlow & Brian Wansink, 1999. "The Variety of an Assortment," Marketing Science, INFORMS, vol. 18(4), pages 527-546.
    11. Sharad Borle & Peter Boatwright & Joseph B. Kadane & Joseph C. Nunes & Shmueli Galit, 2005. "The Effect of Product Assortment Changes on Customer Retention," Marketing Science, INFORMS, vol. 24(4), pages 616-622, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. João M. Lopes & Ana Sousa & Eva Calçada & José Oliveira, 2022. "A citation and co-citation bibliometric analysis of omnichannel marketing research," Management Review Quarterly, Springer, vol. 72(4), pages 1017-1050, December.
    2. Broekhuizen, T.L.J. & Emrich, O. & Gijsenberg, M.J. & Broekhuis, M. & Donkers, B. & Sloot, L.M., 2021. "Digital platform openness: Drivers, dimensions and outcomes," Journal of Business Research, Elsevier, vol. 122(C), pages 902-914.
    3. Schneider, Patricia J. & Zielke, Stephan, 2020. "Searching offline and buying online – An analysis of showrooming forms and segments," Journal of Retailing and Consumer Services, Elsevier, vol. 52(C).
    4. Baxendale, Shane & Macdonald, Emma K. & Wilson, Hugh N., 2015. "The Impact of Different Touchpoints on Brand Consideration," Journal of Retailing, Elsevier, vol. 91(2), pages 235-253.
    5. Herhausen, Dennis & Kleinlercher, Kristina & Verhoef, Peter C. & Emrich, Oliver & Rudolph, Thomas, 2019. "Loyalty Formation for Different Customer Journey Segments," Journal of Retailing, Elsevier, vol. 95(3), pages 9-29.
    6. Peng Vincent Zhang & Seoyoung Kim & Anindita Chakravarty, 2023. "Influence of pull marketing actions on marketing action effectiveness of multichannel firms: A meta-analysis," Journal of the Academy of Marketing Science, Springer, vol. 51(2), pages 310-333, March.
    7. Panzone, Luca A., 2022. "Conditional Promotion With A Costly Reward: An Evaluation Of A Campaign To Motivate Consumption Of Fruit And Vegetables," 2022 Annual Meeting, July 31-August 2, Anaheim, California 322058, Agricultural and Applied Economics Association.
    8. Tatiana David-Negre & Arminda Almedida-Santana & Juan M. Hernández & Sergio Moreno-Gil, 2018. "Understanding European tourists’ use of e-tourism platforms. Analysis of networks," Information Technology & Tourism, Springer, vol. 20(1), pages 131-152, December.
    9. Alexander, Bethan & Blazquez Cano, Marta, 2020. "Store of the future: Towards a (re)invention and (re)imagination of physical store space in an omnichannel context," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    10. Kalyanaram, Gurumurthy & Winer, Russell S., 2022. "Behavioral response to price: Data-based insights and future research for retailing," Journal of Retailing, Elsevier, vol. 98(1), pages 46-70.
    11. Bilgicer, Tolga & Jedidi, Kamel & Lehmann, Donald R. & Neslin, Scott A., 2015. "Social Contagion and Customer Adoption of New Sales Channels," Journal of Retailing, Elsevier, vol. 91(2), pages 254-271.
    12. Sands, Sean & Ferraro, Carla & Campbell, Colin & Pallant, Jason, 2016. "Segmenting multichannel consumers across search, purchase and after-sales," Journal of Retailing and Consumer Services, Elsevier, vol. 33(C), pages 62-71.
    13. Nguyen, Anh Thi Van & McClelland, Robert & Thuan, Nguyen Hoang, 2022. "Exploring customer experience during channel switching in omnichannel retailing context: A qualitative assessment," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    14. Marta Frasquet-Deltoro & Alejandro Molla-Descals & Maria-Jose Miquel-Romero, 2021. "Omnichannel retailer brand experience: conceptualisation and proposal of a comprehensive scale," Journal of Brand Management, Palgrave Macmillan, vol. 28(4), pages 388-401, July.
    15. Verhoef, Peter C. & Kannan, P.K. & Inman, J. Jeffrey, 2015. "From Multi-Channel Retailing to Omni-Channel Retailing," Journal of Retailing, Elsevier, vol. 91(2), pages 174-181.
    16. Xiongkai Tan & Sha Zhang & Hong Zhao, 2023. "Does the impact of corporate brand name changes differ between online and offline channels? The case of McDonald’s China," Journal of Brand Management, Palgrave Macmillan, vol. 30(6), pages 479-489, November.
    17. Ailawadi, Kusum L. & Farris, Paul W., 2017. "Managing Multi- and Omni-Channel Distribution: Metrics and Research Directions," Journal of Retailing, Elsevier, vol. 93(1), pages 120-135.

    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. Ehrenberg, Andrew S. C. & Uncles, Mark D. & Goodhardt, Gerald J., 2004. "Understanding brand performance measures: using Dirichlet benchmarks," Journal of Business Research, Elsevier, vol. 57(12), pages 1307-1325, December.
    2. Guhl, Daniel & Baumgartner, Bernhard & Kneib, Thomas & Steiner, Winfried J., 2018. "Estimating time-varying parameters in brand choice models: A semiparametric approach," International Journal of Research in Marketing, Elsevier, vol. 35(3), pages 394-414.
    3. Nitin Mehta & Surendra Rajiv & Kannan Srinivasan, 2003. "Price Uncertainty and Consumer Search: A Structural Model of Consideration Set Formation," Marketing Science, INFORMS, vol. 22(1), pages 58-84, June.
    4. Noah Gans & George Knox & Rachel Croson, 2007. "Simple Models of Discrete Choice and Their Performance in Bandit Experiments," Manufacturing & Service Operations Management, INFORMS, vol. 9(4), pages 383-408, December.
    5. Dan Horsky & Sanjog Misra & Paul Nelson, 2006. "Observed and Unobserved Preference Heterogeneity in Brand-Choice Models," Marketing Science, INFORMS, vol. 25(4), pages 322-335, 07-08.
    6. Sha Yang & Yi Zhao & Ravi Dhar, 2010. "Modeling the Underreporting Bias in Panel Survey Data," Marketing Science, INFORMS, vol. 29(3), pages 525-539, 05-06.
    7. Emrich, Oliver & Paul, Michael & Rudolph, Thomas, 2015. "Shopping Benefits of Multichannel Assortment Integration and the Moderating Role of Retailer Type," Journal of Retailing, Elsevier, vol. 91(2), pages 326-342.
    8. Anocha Aribarg & Neeraj Arora, 2008. "—Interbrand Variant Overlap: Impact on Brand Preference and Portfolio Profit," Marketing Science, INFORMS, vol. 27(3), pages 474-491, 05-06.
    9. Jonah Berger & Michaela Draganska & Itamar Simonson, 2007. "The Influence of Product Variety on Brand Perception and Choice," Marketing Science, INFORMS, vol. 26(4), pages 460-472, 07-08.
    10. van Herpen, H.W.I. & Pieters, R., 2000. "Assortment Variety : Attribute versus Product-Based," Other publications TiSEM 5743e33b-4f0b-4149-8d20-6, Tilburg University, School of Economics and Management.
    11. Peter Stüttgen & Peter Boatwright & Robert T. Monroe, 2012. "A Satisficing Choice Model," Marketing Science, INFORMS, vol. 31(6), pages 878-899, November.
    12. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    13. Andrew T. Ching & Tülin Erdem & Michael P. Keane, 2020. "How much do consumers know about the quality of products? Evidence from the diaper market," The Japanese Economic Review, Springer, vol. 71(4), pages 541-569, October.
    14. Peter M. Guadagni & John D. C. Little, 2008. "Commentary—A Logit Model of Brand Choice Calibrated on Scanner Data: A 25th Anniversary Perspective," Marketing Science, INFORMS, vol. 27(1), pages 26-28, 01-02.
    15. Boztuğ, Yasemin & Hildebrandt, Lutz, 1998. "Nicht- und semiparametrische Markenwahlmodelle im Marketing," SFB 373 Discussion Papers 1998,99, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
    16. Juin-Kuan Chong & Teck-Hua Ho & Christopher S. Tang, 2001. "A Modeling Framework for Category Assortment Planning," Manufacturing & Service Operations Management, INFORMS, vol. 3(3), pages 191-210, January.
    17. Nitin Mehta, 2007. "Investigating Consumers' Purchase Incidence and Brand Choice Decisions Across Multiple Product Categories: A Theoretical and Empirical Analysis," Marketing Science, INFORMS, vol. 26(2), pages 196-217, 03-04.
    18. Bronnenberg, Bart & Dube, Jean-Pierre, 2016. "The Formation of Consumer Brand Preferences," CEPR Discussion Papers 11648, C.E.P.R. Discussion Papers.
    19. Sanjog Misra, 2005. "Generalized Reverse Discrete Choice Models," Quantitative Marketing and Economics (QME), Springer, vol. 3(2), pages 175-200, June.
    20. Shih-Ping Jeng, 2008. "Effects of corporate reputations, relationships and competing suppliers' marketing programmes on customers' cross-buying intentions," The Service Industries Journal, Taylor & Francis Journals, vol. 28(1), pages 15-26, January.

    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:kap:mktlet:v:25:y:2014:i:3:p:319-330. 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.