IDEAS home Printed from https://ideas.repec.org/p/iim/iimawp/9941.html
   My bibliography  Save this paper

Private Label Brand Choice Dynamics Logit model involving demographic and psychographic variables

Author

Listed:
  • Abhishek

Abstract

Research on private label brands started with focus on explaining the choice of private label brands by simple demographics variables which later expanded into work on attitudinal and behavioral characteristics of customers. However, all these studies had never tried to integrate demographic and psychographic variables to achieve a higher explanatory power, even though researchers had suggested that such a combination is likely to have a higher explanatory power. This paper, after a review of literature, identifies the variables for private label brand proneness. This is followed by mathematical explanation which provides the mathematical model using discrete choice modeling. The paper also provides operationalization of integrated model in current Indian retail scenario and concludes with explaining the limitations.

Suggested Citation

  • Abhishek, 2011. "Private Label Brand Choice Dynamics Logit model involving demographic and psychographic variables," IIMA Working Papers WP2011-01-07, Indian Institute of Management Ahmedabad, Research and Publication Department.
    • Handle: RePEc:iim:iimawp:9941
    as

    Download full text from publisher

    File URL: https://www.iima.ac.in/sites/default/files/rnpfiles/2011-01-07Abhishek.pdf
    File Function: English Version
    Download Restriction: no
    ---><---

    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. Daniel McFadden, 1986. "The Choice Theory Approach to Market Research," Marketing Science, INFORMS, vol. 5(4), pages 275-297.
    3. David Morris & John Nightingale, 1980. "Why should firms manufacture retailer brands?," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 1(3), pages 132-137, September.
    4. Jagmohan S. Raju & Raj Sethuraman & Sanjay K. Dhar, 1995. "The Introduction and Performance of Store Brands," Management Science, INFORMS, vol. 41(6), pages 957-978, June.
    5. Kenneth Train, 1985. "Qualitative Choice Analysis: Theory, Econometrics, and an Application to Automobile Demand," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262200554, December.
    6. G Baltas & P Doyle, 1998. "An empirical analysis of private brand demand recognising heterogeneous preferences and choice dynamics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 49(8), pages 790-798, August.
    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. Jayakrishnan S. & Rekha Chikhalkar & Ranjan Chaudhuri, 2016. "Understanding the Role of Consumer Factors and Store Factors in Private Label Purchase," International Journal of Business and Management, Canadian Center of Science and Education, vol. 11(7), pages 223-223, June.
    2. Jayakrishnan, S. & Rekha, D. Chikhalkar & Ranjan Chaudhuri, 2016. "Measuring factors determining private label purchase," Asian Journal of Empirical Research, Asian Economic and Social Society, vol. 6(2), pages 42-58, February.

    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. John R. Howell & Sanghak Lee & Greg M. Allenby, 2016. "Price Promotions in Choice Models," Marketing Science, INFORMS, vol. 35(2), pages 319-334, March.
    2. van der Rhee, Bo & Verma, Rohit & Plaschka, Gerhard, 2009. "Understanding trade-offs in the supplier selection process: The role of flexibility, delivery, and value-added services/support," International Journal of Production Economics, Elsevier, vol. 120(1), pages 30-41, July.
    3. Song Lin & Juanjuan Zhang & John R. Hauser, 2015. "Learning from Experience, Simply," Marketing Science, INFORMS, vol. 34(1), pages 1-19, January.
    4. Michaela Draganska & Daniel Klapper & Sofia B. Villas-Boas, 2010. "A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel," Marketing Science, INFORMS, vol. 29(1), pages 57-74, 01-02.
    5. Hongmin Li & Woonghee Tim Huh, 2011. "Pricing Multiple Products with the Multinomial Logit and Nested Logit Models: Concavity and Implications," Manufacturing & Service Operations Management, INFORMS, vol. 13(4), pages 549-563, October.
    6. 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.
    7. Baltas, George & Doyle, Peter, 2001. "Random utility models in marketing research: a survey," Journal of Business Research, Elsevier, vol. 51(2), pages 115-125, February.
    8. Elisabeth Honka & Pradeep Chintagunta, 2017. "Simultaneous or Sequential? Search Strategies in the U.S. Auto Insurance Industry," Marketing Science, INFORMS, vol. 36(1), pages 21-42, January.
    9. Haghani, Milad & Bliemer, Michiel C.J. & Hensher, David A., 2021. "The landscape of econometric discrete choice modelling research," Journal of choice modelling, Elsevier, vol. 40(C).
    10. Greg M. Allenby & Thomas S. Shively & Sha Yang & Mark J. Garratt, 2004. "A Choice Model for Packaged Goods: Dealing with Discrete Quantities and Quantity Discounts," Marketing Science, INFORMS, vol. 23(1), pages 95-108, June.
    11. Bruno J.D. Jacobs & Bas Donkers & Dennis Fok, 2016. "Model-Based Purchase Predictions for Large Assortments," Marketing Science, INFORMS, vol. 35(3), pages 389-404, May.
    12. Raaj Sah & Rajeev Kohli, 2004. "Market Shares: Some Power Law Results and Observations," Working Papers 0401, Harris School of Public Policy Studies, University of Chicago.
    13. Tang, Christopher S., 2010. "A review of marketing-operations interface models: From co-existence to coordination and collaboration," International Journal of Production Economics, Elsevier, vol. 125(1), pages 22-40, May.
    14. Villas-Boas, Sofia B & Klapper, Daniel & Draganska, Michaela, 2010. "A Larger Slice or a Larger Pie? Investigating Margins in the Distribution Channel," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt064044x8, Department of Agricultural & Resource Economics, UC Berkeley.
    15. Robert Kapłon, 2006. "A retrospective review of categorical data analysis – theory and marketing practice," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 16(1), pages 55-72.
    16. Abraham Koshy & . Abhishek, 2010. "Quality Perceptions of Private Label Brands Conceptual Framework and Agenda for Research," Working Papers id:2756, eSocialSciences.
    17. Abhishek & Koshy, Abraham, 2008. "Quality Perceptions of Private Label Brands: Conceptual Framework and Agenda for Research," IIMA Working Papers WP2008-02-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    18. Hongmin Li & Scott Webster & Gwangjae Yu, 2020. "Product Design Under Multinomial Logit Choices: Optimization of Quality and Prices in an Evolving Product Line," Manufacturing & Service Operations Management, INFORMS, vol. 22(5), pages 1011-1025, September.
    19. Draganska, Michaela & Klapper, Daniel & Villas-Boas, Sofia B., 2007. "Determinants of Margins in the Distribution Channel: An Empirical Investigation," Research Papers 1959, Stanford University, Graduate School of Business.
    20. Vredin Johansson, Maria & Heldt, Tobias & Johansson, Per, 2006. "The effects of attitudes and personality traits on mode choice," Transportation Research Part A: Policy and Practice, Elsevier, vol. 40(6), pages 507-525, July.

    More about this item

    Statistics

    Access and download statistics

    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:iim:iimawp:9941. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/eciimin.html .

    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.