IDEAS home Printed from https://ideas.repec.org/a/pal/jorapm/v23y2024i5d10.1057_s41272-024-00501-w.html
   My bibliography  Save this article

Revenue-sharing agreements in the live entertainment industry: a practical risk analysis framework

Author

Listed:
  • Ventura Charlin

    (Pontificia Universidad Católica de Chile
    V.C. Consultants)

  • Arturo Cifuentes

    (Pontificia Universidad Católica de Chile)

Abstract

Revenue-sharing agreements are very common in the live entertainment industry. Such agreements typically include a minimum revenue guarantee for the benefit of the entertainer, combined with a formula to split the revenue, in case the revenue exceeds the minimum guarantee. In essence, these are derivative contracts between the event organizer (O) and the entertainer (E). This study introduces several closed-form expressions to evaluate the risks associated with these contracts for both parties (O and E). These expressions enable the estimation of revenue for each party based on the type of agreement and the valuation of the embedded option. Notably, the expressions do not require an assumption of symmetrical information—O and E can have access to different sets of information. Additionally, the expressions are valid regardless of the risk profiles of O and E, which could be different. Finally, the usefulness of the approach is demonstrated with an example that includes a scenario analysis, that is, exploring how variations in the two key parameters defining the revenue agreement affect the revenues of both O and E.

Suggested Citation

  • Ventura Charlin & Arturo Cifuentes, 2024. "Revenue-sharing agreements in the live entertainment industry: a practical risk analysis framework," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 384-395, October.
    • Handle: RePEc:pal:jorapm:v:23:y:2024:i:5:d:10.1057_s41272-024-00501-w
    DOI: 10.1057/s41272-024-00501-w
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1057/s41272-024-00501-w
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1057/s41272-024-00501-w?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. Mihai Banciu & Andreas Hinterhuber & Fredrik Ødegaard, 2023. "Revenue management in sports, live entertainment and arts," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 22(3), pages 185-187, June.
    2. repec:bla:jindec:v:49:y:2001:i:3:p:223-45 is not listed on IDEAS
    3. Alireza Bakhshi & Jafar Heydari, 2023. "An optimal put option contract for a reverse supply chain: case of remanufacturing capacity uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 37-60, May.
    4. Gérard P. Cachon & Martin A. Lariviere, 2005. "Supply Chain Coordination with Revenue-Sharing Contracts: Strengths and Limitations," Management Science, INFORMS, vol. 51(1), pages 30-44, January.
    5. Jin, Hongyu & Liu, Shijing & Sun, Jide & Liu, Chunlu, 2021. "Determining concession periods and minimum revenue guarantees in public-private-partnership agreements," European Journal of Operational Research, Elsevier, vol. 291(2), pages 512-524.
    6. James D. Dana, Jr. & Kathryn E. Spier, 2001. "Revenue Sharing and Vertical Control in the Video Rental Industry," Journal of Industrial Economics, Wiley Blackwell, vol. 49(3), pages 223-245, September.
    7. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    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. Ian Yeoman, 2024. "Using revenue management and pricing beyond the airline and hotel industries: an ever increasing pathway of success," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 23(5), pages 381-383, October.

    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. Moon, Ilkyeong & Feng, Xuehao, 2017. "Supply chain coordination with a single supplier and multiple retailers considering customer arrival times and route selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 78-97.
    2. Pietro Giovanni & Maria Roselli, 2012. "Overcoming the drawbacks of a revenue-sharing contract through a support program," Annals of Operations Research, Springer, vol. 196(1), pages 201-222, July.
    3. Tang, Christopher S. & Deo, Sarang, 2008. "Rental price and rental duration under retail competition," European Journal of Operational Research, Elsevier, vol. 187(3), pages 806-828, June.
    4. Fang, Yaner & Shou, Biying, 2015. "Managing supply uncertainty under supply chain Cournot competition," European Journal of Operational Research, Elsevier, vol. 243(1), pages 156-176.
    5. Kunter, Marcus, 2012. "Coordination via cost and revenue sharing in manufacturer–retailer channels," European Journal of Operational Research, Elsevier, vol. 216(2), pages 477-486.
    6. Palsule-Desai, Omkar D., 2013. "Supply chain coordination using revenue-dependent revenue sharing contracts," Omega, Elsevier, vol. 41(4), pages 780-796.
    7. Zou, Xuxia & Pokharel, Shaligram & Piplani, Rajesh, 2008. "A two-period supply contract model for a decentralized assembly system," European Journal of Operational Research, Elsevier, vol. 187(1), pages 257-274, May.
    8. Lütkemeyer, Daniel & Heese, H. Sebastian & Wuttke, David A., 2021. "Overcoming inefficiencies in the development of personalized medicine," European Journal of Operational Research, Elsevier, vol. 290(1), pages 278-296.
    9. Christian Lohmann & Nils Crasselt, 2012. "Investments in Ski Areas: Effects of Compensation Payments in a Complementary Value Network," Tourism Economics, , vol. 18(2), pages 339-358, April.
    10. Knox, George & Eliashberg, Jehoshua, 2009. "The consumer's rent vs. buy decision in the rentailer," International Journal of Research in Marketing, Elsevier, vol. 26(2), pages 125-135.
    11. Roberta Pellegrino & Nicola Costantino & Danilo Tauro, 2020. "Advance Purchase Discounts for Supply Chain Finance System Coordination," Sustainability, MDPI, vol. 12(23), pages 1-20, December.
    12. Yao, Z. & Leung, Stephen C.H. & Lai, K.K., 2008. "Manufacturer's revenue-sharing contract and retail competition," European Journal of Operational Research, Elsevier, vol. 186(2), pages 637-651, April.
    13. Fang, Xiang & Gavirneni, Srinagesh & Rao, Vithala R., 2013. "Supply chains in the presence of store brands," European Journal of Operational Research, Elsevier, vol. 224(2), pages 392-403.
    14. Zhang, Dengfeng & de Matta, Renato & Lowe, Timothy J., 2010. "Channel coordination in a consignment contract," European Journal of Operational Research, Elsevier, vol. 207(2), pages 897-905, December.
    15. Lu Hsiao & Ying‐Ju Chen & Hui Xiong, 2019. "Supply chain coordination with product line design and a revenue sharing scheme," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 213-229, April.
    16. Yun Fong Lim & Yunzeng Wang & Yue Wu, 2015. "Consignment Contracts with Revenue Sharing for a Capacitated Retailer and Multiple Manufacturers," Manufacturing & Service Operations Management, INFORMS, vol. 17(4), pages 527-537, October.
    17. Hu, Benyong & Xu, Dong & Meng, Chao, 2017. "Inconsistency of a retailer's optimal policies and channel performance under revenue sharing contracts," International Journal of Production Economics, Elsevier, vol. 183(PA), pages 53-65.
    18. Cao, Erbao & Wan, Can & Lai, Mingyong, 2013. "Coordination of a supply chain with one manufacturer and multiple competing retailers under simultaneous demand and cost disruptions," International Journal of Production Economics, Elsevier, vol. 141(1), pages 425-433.
    19. Eriksson, Katarina, 2019. "An option mechanism to coordinate a dyadic supply chain bilaterally in a multi-period setting," Omega, Elsevier, vol. 88(C), pages 196-209.
    20. Daniel Barron & Robert Gibbons & Ricard Gil & Kevin J.Murphy, 2020. "Relational Adaptation Under Reel Authority," Management Science, INFORMS, vol. 66(5), pages 1868-1889, May.

    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:pal:jorapm:v:23:y:2024:i:5:d:10.1057_s41272-024-00501-w. 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.palgrave.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.