IDEAS home Printed from https://ideas.repec.org/p/toh/tmarga/112.html
   My bibliography  Save this paper

Modeling Preference Change through Brand Satiation

Author

Listed:
  • Nobuhiko Terui
  • Shohei Hasegawa

Abstract

In this study, we develop structural models of preference change due to consumer state dependence through satiation by purchase experience. A dynamic factor model with switching structure is proposed to explain consumer preference changes. Two types of dynamic factor models are separately applied to baseline and satiation parameters in a direct utility model that accommodates multiple discreteness data. The first dynamic factor model has a switching structure for consumer preference, and decomposes brand baselines into time-invariant factor loadings for the coordinates of brand positions and time-varying factor scores for consumer preference directions. The second dynamic factor model applied to satiation parameters extracts the consumer level of satiation in a product category, and this is used as a causal variable in a switching equation to show when and how preferences change over time according to the level of brand satiation. The brand positions and temporal changes of heterogeneous preferences are jointly depicted in a dynamic joint space map. The empirical analysis of a panel dataset shows that our proposed dynamic model, implying that consumers change their preferences when previous brand satiation exceeds the admissible level and preference directions are determined by the previous level of satiation, performs better than alternative specifications, such as a static model with no preference change and a dynamic model without structures which imply that preference changes whenever a consumer purchases a product.

Suggested Citation

  • Nobuhiko Terui & Shohei Hasegawa, 2013. "Modeling Preference Change through Brand Satiation," TMARG Discussion Papers 112, Graduate School of Economics and Management, Tohoku University.
  • Handle: RePEc:toh:tmarga:112
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10097/56550
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Kapil Bawa, 1990. "Modeling Inertia and Variety Seeking Tendencies in Brand Choice Behavior," Marketing Science, INFORMS, vol. 9(3), pages 263-278.
    2. Nobuhiko Terui & Masataka Ban & Toshihiko Maki, 2010. "Finding market structure by sales count dynamics—Multivariate structural time series models with hierarchical structure for count data—," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 62(1), pages 91-107, February.
    3. Geweke, John & Zhou, Guofu, 1996. "Measuring the Pricing Error of the Arbitrage Pricing Theory," The Review of Financial Studies, Society for Financial Studies, vol. 9(2), pages 557-587.
    4. Terry Elrod, 1988. "Choice Map: Inferring a Product-Market Map from Panel Data," Marketing Science, INFORMS, vol. 7(1), pages 21-40.
    5. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    6. McAlister, Leigh, 1982. "A Dynamic Attribute Satiation Model of Variety-Seeking Behavior," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(2), pages 141-150, September.
    7. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    8. Tülin Erdem, 1996. "A Dynamic Analysis of Market Structure Based on Panel Data," Marketing Science, INFORMS, vol. 15(4), pages 359-378.
    9. Bhat, Chandra R., 2005. "A multiple discrete-continuous extreme value model: formulation and application to discretionary time-use decisions," Transportation Research Part B: Methodological, Elsevier, vol. 39(8), pages 679-707, September.
    10. Luc Wathieu, 1997. "Habits and the Anomalies in Intertemporal Choice," Management Science, INFORMS, vol. 43(11), pages 1552-1563, November.
    11. McAlister, Leigh & Pessemier, Edgar, 1982. "Variety Seeking Behavior: An Interdisciplinary Review," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(3), pages 311-322, December.
    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. Nobuhiko Terui & Shohei Hasegawa & Greg M. Allenby, 2015. "A Threshold Model for Discontinuous Preference Change and Satiation," TMARG Discussion Papers 122, Graduate School of Economics and Management, Tohoku University.
    2. Nanarpuzha, Rajesh, 2013. "Modeling Situational Factors in Variety Seeking Behaviour: An Extension of the Lightning Bolt Model," IIMA Working Papers WP2013-12-04, Indian Institute of Management Ahmedabad, Research and Publication Department.
    3. P. B. Seetharaman & Hai Che, 2009. "Price Competition in Markets with Consumer Variety Seeking," Marketing Science, INFORMS, vol. 28(3), pages 516-525, 05-06.
    4. Jaehwan Kim & Greg M. Allenby & Peter E. Rossi, 2002. "Modeling Consumer Demand for Variety," Marketing Science, INFORMS, vol. 21(3), pages 229-250, December.
    5. Wu, Pei-Hsun & Kao, Danny Tengti, 2011. "Goal orientation and variety seeking behavior: The role of decision task," Journal of Economic Psychology, Elsevier, vol. 32(1), pages 65-72, February.
    6. Sha Yang & Gerg M. Allenby & Geraldine Fennel, 2002. "Modeling Variation in Brand Preference: The Roles of Objective Environment and Motivating Conditions," Marketing Science, INFORMS, vol. 21(1), pages 14-31, May.
    7. Manel Baucells & Rakesh K. Sarin, 2010. "Predicting Utility Under Satiation and Habit Formation," Management Science, INFORMS, vol. 56(2), pages 286-301, February.
    8. Pradeep K. Chintagunta, 1999. "Variety Seeking, Purchase Timing, and the "Lightning Bolt" Brand Choice Model," Management Science, INFORMS, vol. 45(4), pages 486-498, April.
    9. Junyi Chai, 2023. "A Behavioral Foundation of Satiation and Habituation," Mathematics, MDPI, vol. 11(3), pages 1-18, January.
    10. Irani-Kermani, Roozbeh & Jaenicke, Edward C., 2018. "Generalizing Variety Seeking Measurement from Brand Space to Product Attribute Space," 2018 Annual Meeting, August 5-7, Washington, D.C. 273818, Agricultural and Applied Economics Association.
    11. Manel Baucells & Rakesh K. Sarin, 2013. "Determinants of Experienced Utility: Laws and Implications," Decision Analysis, INFORMS, vol. 10(2), pages 135-151, June.
    12. S. Sajeesh & Jagmohan S. Raju, 2010. "Positioning and Pricing in a Variety Seeking Market," Management Science, INFORMS, vol. 56(6), pages 949-961, June.
    13. Mumtaz, Haroon & Theodoridis, Konstantinos, 2017. "Common and country specific economic uncertainty," Journal of International Economics, Elsevier, vol. 105(C), pages 205-216.
    14. Christina Leuker & Thorsten Pachur & Ralph Hertwig & Timothy J. Pleskac, 2019. "Do people exploit risk–reward structures to simplify information processing in risky choice?," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 5(1), pages 76-94, August.
    15. Andreas Herrmann & Michael D. Johnson, 1999. "Die Kundenzufriedenheit als Bestimmungsfaktor der Kundenbindung," Schmalenbach Journal of Business Research, Springer, vol. 51(6), pages 579-598, June.
    16. Brownstone, David & Train, Kenneth, 1999. "Forecasting new product penetration with flexible substitution patterns," University of California Transportation Center, Working Papers qt1j6814b3, University of California Transportation Center.
    17. Manel Baucells & Silvia Bellezza, 2017. "Temporal Profiles of Instant Utility During Anticipation, Event, and Recall," Management Science, INFORMS, vol. 63(3), pages 729-748, March.
    18. Dubra, Juan & Egozcue, Martín & García, Luis Fuentes, 2019. "Optimal consumption sequences under habit formation and satiation," Journal of Mathematical Economics, Elsevier, vol. 80(C), pages 70-76.
    19. Param Vir Singh & Nachiketa Sahoo & Tridas Mukhopadhyay, 2014. "How to Attract and Retain Readers in Enterprise Blogging?," Information Systems Research, INFORMS, vol. 25(1), pages 35-52, March.
    20. Bee-Lia Chua & Shahrim Karim & Sanghyeop Lee & Heesup Han, 2020. "Customer Restaurant Choice: An Empirical Analysis of Restaurant Types and Eating-Out Occasions," IJERPH, MDPI, vol. 17(17), pages 1-23, August.

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:toh:tmarga:112. 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: Tohoku University Library (email available below). General contact details of provider: https://edirc.repec.org/data/fetohjp.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.