IDEAS home Printed from https://ideas.repec.org/a/eee/ejores/v187y2008i1p313-326.html
   My bibliography  Save this article

Phase-type distribution of customer relationship with Markovian response and marketing expenditure decision on the customer lifetime value

Author

Listed:
  • Ma, Ming
  • Li, Zehui
  • Chen, Jinyuan

Abstract

No abstract is available for this item.

Suggested Citation

  • Ma, Ming & Li, Zehui & Chen, Jinyuan, 2008. "Phase-type distribution of customer relationship with Markovian response and marketing expenditure decision on the customer lifetime value," European Journal of Operational Research, Elsevier, vol. 187(1), pages 313-326, May.
    • Handle: RePEc:eee:ejores:v:187:y:2008:i:1:p:313-326
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0377-2217(07)00354-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    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. Berger, Paul D. & Bechwati, Nada Nasr, 2001. "The allocation of promotion budget to maximize customer equity," Omega, Elsevier, vol. 29(1), pages 49-61, February.
    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. Surya, Budhi Arta, 2022. "Conditional multivariate distributions of phase-type for a finite mixture of Markov jump processes given observations of sample path," Journal of Multivariate Analysis, Elsevier, vol. 191(C).
    2. Mehrdad Memarpour & Erfan Hassannayebi & Navid Fattahi Miab & Ali Farjad, 2021. "Dynamic allocation of promotional budgets based on maximizing customer equity," Operational Research, Springer, vol. 21(4), pages 2365-2389, December.
    3. Glady, Nicolas & Baesens, Bart & Croux, Christophe, 2009. "Modeling churn using customer lifetime value," European Journal of Operational Research, Elsevier, vol. 197(1), pages 402-411, August.

    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. Wang, Deshen & Chen, Bintong & Chen, Jing, 2019. "Credit card fraud detection strategies with consumer incentives," Omega, Elsevier, vol. 88(C), pages 179-195.
    2. 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.
    3. Pfeifer, Phillip E. & Ovchinnikov, Anton, 2011. "A Note on Willingness to Spend and Customer Lifetime Value for Firms with Limited Capacity," Journal of Interactive Marketing, Elsevier, vol. 25(3), pages 178-189.
    4. Hans Buhl & Robert Klein & Johannes Kolb & Andrea Landherr, 2011. "CR 2 M—an approach for capacity control considering long-term effects on the value of a customer for the company," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 22(2), pages 187-204, December.
    5. Chiang, Lan-Lung (Luke) & Yang, Chin-Sheng, 2018. "Does country-of-origin brand personality generate retail customer lifetime value? A Big Data analytics approach," Technological Forecasting and Social Change, Elsevier, vol. 130(C), pages 177-187.
    6. Berry, Leonard L. & Bolton, Ruth N. & Bridges, Cheryl H. & Meyer, Jeffrey & Parasuraman, A. & Seiders, Kathleen, 2010. "Opportunities for Innovation in the Delivery of Interactive Retail Services," Journal of Interactive Marketing, Elsevier, vol. 24(2), pages 155-167.
    7. Chang, Shuhua & Zhang, Zhaowei & Wang, Xinyu & Dong, Yan, 2020. "Optimal acquisition and retention strategies in a duopoly model of competition," European Journal of Operational Research, Elsevier, vol. 282(2), pages 677-695.
    8. Holm, Morten & Kumar, V. & Plenborg, Thomas, 2016. "An investigation of Customer Accounting systems as a source of sustainable competitive advantage," Advances in accounting, Elsevier, vol. 32(C), pages 18-30.
    9. Hans Buhl & Martin Gneiser & Julia Heidemann, 2009. "Ein modelltheoretischer Ansatz zur Planung von Investitionen in Kundenbeziehungen," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 20(2), pages 175-195, October.
    10. Tarek Ben Rhouma & Georges Zaccour, 2018. "Optimal Marketing Strategies for the Acquisition and Retention of Service Subscriber," Management Science, INFORMS, vol. 64(6), pages 2609-2627, June.
    11. R C Hanna & P D Berger & L J Abendroth, 2005. "Optimizing time limits in retail promotions: an email application," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 15-24, January.
    12. Jesús Sánchez-Oro & Ana D. López-Sánchez & Anna Martínez-Gavara & Alfredo G. Hernández-Díaz & Abraham Duarte, 2021. "A Hybrid Strategic Oscillation with Path Relinking Algorithm for the Multiobjective k -Balanced Center Location Problem," Mathematics, MDPI, vol. 9(8), pages 1-21, April.
    13. Berger, Paul D. & Gerstenfeld, Arthur & Zeng, Amy Z., 2004. "How many suppliers are best? A decision-analysis approach," Omega, Elsevier, vol. 32(1), pages 9-15, February.
    14. Huan Yu & Ye Shi & Yugang Yu & Jie Liu & Feng Yang & Jie Wu, 2020. "Business analytics: online promotion with gift rewards," Annals of Operations Research, Springer, vol. 291(1), pages 1061-1076, August.
    15. W-K Ching & M K Ng & K-K Wong & E Altman, 2004. "Customer lifetime value: stochastic optimization approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(8), pages 860-868, August.
    16. David A. Schweidel & Peter S. Fader & Eric T. Bradlow, 2008. "A Bivariate Timing Model of Customer Acquisition and Retention," Marketing Science, INFORMS, vol. 27(5), pages 829-843, 09-10.
    17. V. Kumar & S. Sriram & Anita Luo & Pradeep K. Chintagunta, 2011. "Assessing the Effect of Marketing Investments in a Business Marketing Context," Marketing Science, INFORMS, vol. 30(5), pages 924-940, September.
    18. Valenzuela, Leslier & Torres, Eduardo & Hidalgo, Pedro & Farías, Pablo, 2014. "Salesperson CLV orientation's effect on performance," Journal of Business Research, Elsevier, vol. 67(4), pages 550-557.
    19. Klein, Robert & Kolb, Johannes, 2015. "Maximizing customer equity subject to capacity constraints," Omega, Elsevier, vol. 55(C), pages 111-125.
    20. Paul D Berger, 2016. "One man’s path to marketing analytics," Journal of Marketing Analytics, Palgrave Macmillan, vol. 4(1), pages 1-13, March.

    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:eee:ejores:v:187:y:2008:i:1:p:313-326. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/eor .

    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.