IDEAS home Printed from https://ideas.repec.org/a/wut/journl/v33y2023i3p59-73id4.html
   My bibliography  Save this article

Internet digital content pricing and subscribers control

Author

Listed:
  • Sobhi Mejjouali
  • Lotfi Tadj

Abstract

We use optimal control theory to determine the optimal rate of change in the subscription fee and the optimal ratio of ad space to the total web page space for a web content provider. An optimal solution is obtained using the maximum principle approach and the model predictive control approach. Numerical experiments show that it is preferable to use the first approach when the planning horizon is short and the second approach when the planning horizon is long.

Suggested Citation

  • Sobhi Mejjouali & Lotfi Tadj, 2023. "Internet digital content pricing and subscribers control," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(3), pages 59-73.
    • Handle: RePEc:wut:journl:v:33:y:2023:i:3:p:59-73:id:4
    DOI: 10.37190/ord230304
    as

    Download full text from publisher

    File URL: https://ord.pwr.edu.pl/assets/papers_archive/ord2023vol33no3_4.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.37190/ord230304?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
    ---><---

    References listed on IDEAS

    as
    1. Sun, Luoyi & Teunter, Ruud H. & Babai, M. Zied & Hua, Guowei, 2019. "Optimal pricing for ride-sourcing platforms," European Journal of Operational Research, Elsevier, vol. 278(3), pages 783-795.
    2. Kumar, Subodha & Sethi, Suresh P., 2009. "Dynamic pricing and advertising for web content providers," European Journal of Operational Research, Elsevier, vol. 197(3), pages 924-944, September.
    3. Vijay Victor & Jose Joy Thoppan & Robert Jeyakumar Nathan & Fekete Farkas Maria, 2018. "Factors Influencing Consumer Behavior and Prospective Purchase Decisions in a Dynamic Pricing Environment—An Exploratory Factor Analysis Approach," Social Sciences, MDPI, vol. 7(9), pages 1-14, September.
    4. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    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. Chen, Mingyang & Zhao, Daozhi & Gong, Yeming & Rekik, Yacine, 2022. "An on-demand service platform with self-scheduling capacity: Uniform versus multiplier-based pricing," International Journal of Production Economics, Elsevier, vol. 243(C).
    2. Wei, Wanying & Liu, Weihua & Tang, Ou & Dong, Chuanwen & Liang, Yanjie, 2023. "CSR investment for a two-sided platform: Network externality and risk aversion," European Journal of Operational Research, Elsevier, vol. 307(2), pages 694-712.
    3. Sun, Zhongmiao & Xu, Qi & Liu, Jinrong, 2021. "Pricing and replenishment decisions for seasonal and nonseasonal products in a shared supply chain," International Journal of Production Economics, Elsevier, vol. 233(C).
    4. Sun, Luoyi & Hua, Guowei & Cheng, T.C.E. & Teunter, Ruud H. & Dong, Jingxin & Wang, Yixiao, 2023. "Purchase or rent? Optimal pricing for 3D printing capacity sharing platforms," European Journal of Operational Research, Elsevier, vol. 307(3), pages 1192-1205.
    5. Nie, Fapeng & Li, Xiang & Zhou, Chang, 2024. "Impact of privacy regulation involving information collection on the ride-hailing market," Omega, Elsevier, vol. 126(C).
    6. Zhong, Yuanguang & Yang, Tong & Cao, Bin & Cheng, T.C.E., 2022. "On-demand ride-hailing platforms in competition with the taxi industry: Pricing strategies and government supervision," International Journal of Production Economics, Elsevier, vol. 243(C).
    7. Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Optimal E-tailing channel structure and service contracting in the platform era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    8. Jacob, Jagan & Roet-Green, Ricky, 2021. "Ride solo or pool: Designing price-service menus for a ride-sharing platform," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1008-1024.
    9. Hamed Ghoddusi & Alexander Rodivilov & Baran Siyahhan, 2019. "Two-sided markets : the role of technological uncertainty," Working Papers hal-02447328, HAL.
    10. Büttgen, Marion & al.,, 2021. "Blockchain in Service Management and Service Research - Developing a Research Agenda and Managerial Implications," SMR - Journal of Service Management Research, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 5(2), pages 71-102.
    11. Wang, Chengfu & Chen, Xiangfeng & Xu, Xun & Jin, Wei, 2023. "Financing and operating strategies for blockchain technology-driven accounts receivable chains," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1279-1295.
    12. Sami Najafi-Asadolahi & Kristin Fridgeirsdottir, 2014. "Cost-per-Click Pricing for Display Advertising," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 482-497, October.
    13. Kumar, Patanjal & Baraiya, Rajendra & Das, Debashree & Jakhar, Suresh Kumar & Xu, Lei & Mangla, Sachin Kumar, 2021. "Social responsibility and cost-learning in dyadic supply chain coordination," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).
    14. Suyuan Luo & Tsan-Ming Choi, 2024. "Great partners: how deep learning and blockchain help improve business operations together," Annals of Operations Research, Springer, vol. 339(1), pages 53-78, August.
    15. Zhang, Kun & Choi, Tsan-Ming & Chung, Sai-Ho & Dai, Yue & Wen, Xin, 2024. "Blockchain adoption in retail operations: Stablecoins and traceability," European Journal of Operational Research, Elsevier, vol. 315(1), pages 147-160.
    16. Sun, Xiaotong & Stasinakis, Charalampos & Sermpinis, Georgios, 2024. "Decentralization illusion in Decentralized Finance: Evidence from tokenized voting in MakerDAO polls," Journal of Financial Stability, Elsevier, vol. 73(C).
    17. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    18. Hu, Xinru & Zhou, Shuiyin & Luo, Xiaomeng & Li, Jianbin & Zhang, Chi, 2024. "Optimal pricing strategy of an on-demand platform with cross-regional passengers," Omega, Elsevier, vol. 122(C).
    19. Rathore, Bhawana & Sengupta, Pooja & Biswas, Baidyanath & Kumar, Ajay, 2024. "Predicting the price of taxicabs using Artificial Intelligence: A hybrid approach based on clustering and ordinal regression models," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 185(C).
    20. Benioudakis, Myron & Zissis, Dimitris & Burnetas, Apostolos & Ioannou, George, 2023. "Service provision on an aggregator platform with time-sensitive customers: Pricing strategies and coordination," International Journal of Production Economics, Elsevier, vol. 257(C).

    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:wut:journl:v:33:y:2023:i:3:p:59-73:id:4. 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: Adam Kasperski (email available below). General contact details of provider: https://edirc.repec.org/data/iopwrpl.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.