IDEAS home Printed from https://ideas.repec.org/a/spr/mathme/v85y2017i3d10.1007_s00186-017-0577-1.html
   My bibliography  Save this article

Optimal double control problem for a PDE model of goodwill dynamics

Author

Listed:
  • Mariusz Górajski

    (University of Łódź)

  • Dominika Machowska

    (University of Łódź)

Abstract

We propose a new optimal control model of product goodwill in a segmented market where the state variable behaviour is described by a partial differential equation of the Lotka–Sharp–McKendrick type. In order to maximize the sum of discounted profits over a finite time horizon, we control the marketing communication activities which influence the state equation and the boundary condition. Moreover, we introduce the mathematical representation of heterogeneous electronic word of mouth. Based on the semigroup approach, we prove the existence and uniqueness of optimal controls. Using a maximum principle, we describe a numerical algorithm to find the optimal solution. Finally, we examine several examples on the optimal goodwill model and discover two types of marketing strategies.

Suggested Citation

  • Mariusz Górajski & Dominika Machowska, 2017. "Optimal double control problem for a PDE model of goodwill dynamics," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 85(3), pages 425-452, June.
  • Handle: RePEc:spr:mathme:v:85:y:2017:i:3:d:10.1007_s00186-017-0577-1
    DOI: 10.1007/s00186-017-0577-1
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00186-017-0577-1
    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/s00186-017-0577-1?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. Silvia Faggian & Luca Grosset, 2013. "Optimal advertising strategies with age-structured goodwill," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 78(2), pages 259-284, October.
    2. Gruen, Thomas W. & Osmonbekov, Talai & Czaplewski, Andrew J., 2006. "eWOM: The impact of customer-to-customer online know-how exchange on customer value and loyalty," Journal of Business Research, Elsevier, vol. 59(4), pages 449-456, April.
    3. George E. Monahan, 1984. "Technical Note—A Pure Birth Model of Optimal Advertising with Word-of-Mouth," Marketing Science, INFORMS, vol. 3(2), pages 169-178.
    4. S. Mosca & B. Viscolani, 2004. "Optimal Goodwill Path to Introduce a New Product," Journal of Optimization Theory and Applications, Springer, vol. 123(1), pages 149-162, October.
    5. Nelson, Philip, 1974. "Advertising as Information," Journal of Political Economy, University of Chicago Press, vol. 82(4), pages 729-754, July/Aug..
    6. David Godes & Dina Mayzlin, 2004. "Using Online Conversations to Study Word-of-Mouth Communication," Marketing Science, INFORMS, vol. 23(4), pages 545-560, June.
    7. Jørgensen, Steffen & Zaccour, Georges, 2014. "A survey of game-theoretic models of cooperative advertising," European Journal of Operational Research, Elsevier, vol. 237(1), pages 1-14.
    8. Huang, Jian & Leng, Mingming & Liang, Liping, 2012. "Recent developments in dynamic advertising research," European Journal of Operational Research, Elsevier, vol. 220(3), pages 591-609.
    9. Martín-Herrán, Guiomar & McQuitty, Shaun & Sigué, Simon Pierre, 2012. "Offensive versus defensive marketing: What is the optimal spending allocation?," International Journal of Research in Marketing, Elsevier, vol. 29(2), pages 210-219.
    10. Amir Heiman & Bruce McWilliams & Zhihua Shen & David Zilberman, 2001. "Learning and Forgetting: Modeling Optimal Product Sampling Over Time," Management Science, INFORMS, vol. 47(4), pages 532-546, April.
    11. E. Barucci & F. Gozzi, 1999. "Optimal advertising with a continuum of goods," Annals of Operations Research, Springer, vol. 88(0), pages 15-29, January.
    12. Bagwell, Kyle, 2007. "The Economic Analysis of Advertising," Handbook of Industrial Organization, in: Mark Armstrong & Robert Porter (ed.), Handbook of Industrial Organization, edition 1, volume 3, chapter 28, pages 1701-1844, Elsevier.
    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. Mariusz Górajski & Dominika Machowska, 2019. "How do loyalty programs affect goodwill? An optimal control approach," 4OR, Springer, vol. 17(3), pages 297-316, September.

    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. Dominika Bogusz & Mariusz Gorajski, 2014. "Optimal Goodwill Model with Consumer Recommendations and Market Segmentation," Lodz Economics Working Papers 1/2014, University of Lodz, Faculty of Economics and Sociology, revised Oct 2014.
    2. Régis Chenavaz & Sajjad M. Jasimuddin, 2017. "An analytical model of the relationship between product quality and advertising," Post-Print hal-01685892, HAL.
    3. Mariusz Górajski & Dominika Machowska, 2019. "How do loyalty programs affect goodwill? An optimal control approach," 4OR, Springer, vol. 17(3), pages 297-316, September.
    4. Haoyan Sun & Ming Fan & Yong Tan, 2020. "An Empirical Analysis of Seller Advertising Strategies in an Online Marketplace," Information Systems Research, INFORMS, vol. 31(1), pages 37-56, March.
    5. Chenavaz, Régis Y. & Feichtinger, Gustav & Hartl, Richard F. & Kort, Peter M., 2020. "Modeling the impact of product quality on dynamic pricing and advertising policies," European Journal of Operational Research, Elsevier, vol. 284(3), pages 990-1001.
    6. Yogesh V. Joshi & Andres Musalem, 2021. "When Consumers Learn, Money Burns: Signaling Quality via Advertising with Observational Learning and Word of Mouth," Marketing Science, INFORMS, vol. 40(1), pages 168-188, January.
    7. Dina Mayzlin & Jiwoong Shin, 2011. "Uninformative Advertising as an Invitation to Search," Marketing Science, INFORMS, vol. 30(4), pages 666-685, July.
    8. J. K. Pappalardo, 2022. "Economics of Consumer Protection: Contributions and Challenges in Estimating Consumer Injury and Evaluating Consumer Protection Policy," Journal of Consumer Policy, Springer, vol. 45(2), pages 201-238, June.
    9. Dhaval M. Dave, 2013. "Effects of Pharmaceutical Promotion: A Review and Assessment," NBER Working Papers 18830, National Bureau of Economic Research, Inc.
    10. Thomas de Haan & Theo Offerman & Randolph Sloof, 2015. "Money Talks? An Experimental Investigation Of Cheap Talk And Burned Money," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 56(4), pages 1385-1426, November.
    11. Yucheng Zhang & Zhiling Wang & Lin Xiao & Lijun Wang & Pei Huang, 2023. "Discovering the evolution of online reviews: A bibliometric review," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-22, December.
    12. Hattori, Keisuke & Higashida, Keisaku, 2014. "Misleading advertising and minimum quality standards," Information Economics and Policy, Elsevier, vol. 28(C), pages 1-14.
    13. Aslan, Hadiye & Kumar, Praveen, 2016. "The product market effects of hedge fund activism," Journal of Financial Economics, Elsevier, vol. 119(1), pages 226-248.
    14. Duan, Yongrui & Liu, Tonghui & Mao, Zhixin, 2022. "How online reviews and coupons affect sales and pricing: An empirical study based on e-commerce platform," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    15. Laurent Cavenaile & Pau Roldan-Blanco, 2021. "Advertising, Innovation, and Economic Growth," American Economic Journal: Macroeconomics, American Economic Association, vol. 13(3), pages 251-303, July.
    16. Schumacher, Heiner, 2014. "Incentives through consumer learning about tastes," International Journal of Industrial Organization, Elsevier, vol. 37(C), pages 170-177.
    17. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2018. "Deceptive Advertising with Rational Buyers," Management Science, INFORMS, vol. 64(3), pages 1291-1310, March.
    18. Mostafa Monzur Hasan & Grantley Taylor & Grant Richardson, 2022. "Brand Capital and Stock Price Crash Risk," Management Science, INFORMS, vol. 68(10), pages 7221-7247, October.
    19. Salvatore Piccolo & Piero Tedeschi & Giovanni Ursino, 2015. "How limiting deceptive practices harms consumers," RAND Journal of Economics, RAND Corporation, vol. 46(3), pages 611-624, September.
    20. Amin Ansary & Nik M. Hazrul Nik Hashim, 2018. "Brand image and equity: the mediating role of brand equity drivers and moderating effects of product type and word of mouth," Review of Managerial Science, Springer, vol. 12(4), pages 969-1002, October.

    More about this item

    Keywords

    Optimal boundary control; Nonlinear Lotka–Sharp–McKendrick equation; Product goodwill; eWOM;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • D42 - Microeconomics - - Market Structure, Pricing, and Design - - - Monopoly
    • M37 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Advertising

    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:spr:mathme:v:85:y:2017:i:3:d:10.1007_s00186-017-0577-1. 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.